Farm environment real-time monitoring system and method for cattle breeding

Abstract

The invention relates to the technical field of breeding environment measurement, and particularly discloses a breeding farm environment real-time monitoring system and method for cattle breeding, and the system comprises a breeding farm data collection module which obtains breeding condition parameters of a breeding farm, and obtains an initial ventilation strategy through matching according to the breeding condition parameters; the farm environment quality analysis module is used for collecting and analyzing the environment data of the farm to obtain a farm environment quality evaluation value; and the farm ventilation strategy adjusting module is used for adjusting the initial ventilation strategy according to the breeding condition parameters of the farm and the environment quality evaluation value of the farm. According to the farm environment real-time monitoring system and method for cattle breeding, the requirement of the market for high-quality food can be met, the market competitiveness of a farm is improved, accurate adjustment of a ventilation strategy is facilitated, respiratory system diseases are reduced, a suitable growth environment is further provided for cattle, and the survival rate of cattle is increased. The production performance of farms is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of aquaculture environment measurement, and specifically to a real-time monitoring system and method for the environment of a cattle farm for cattle breeding. Background Art

[0002] Currently, real-time monitoring of the aquaculture environment is a very important part of the aquaculture technology field. With the progress of intelligent monitoring technology and the growth of market demand, it has become normal to provide a more refined real-time monitoring system for the aquaculture environment. An efficient and accurate real-time monitoring method for the aquaculture environment is of great significance for improving aquaculture efficiency and product quality.

[0003] For example, the invention patent with the publication number CN117073768B is a beef cattle breeding management system and method thereof. It collects multi-parameter data of the breeding environment through temperature sensors, humidity sensors, and carbon dioxide sensors deployed in the beef cattle farm, and extracts time-series implicit feature information therefrom to perform real-time monitoring on the environmental conditions of the beef cattle farm to determine whether the breeding environment is suitable.

[0004] For example, the invention patent with the publication number CN116046062A is a dairy cattle breeding monitoring system and device, including a base and a support rod. The support rod is fixedly connected to the top of the base, and a monitoring device, a processing device, and a power supply device are respectively arranged on the support rod. The monitoring device includes a smoke sensor, a temperature sensor, a camera, and a wind sensor fixedly connected to the support rod respectively; the processing device includes an information processing box fixedly connected to the support rod, and a positioning plate one and a positioning plate two are respectively fixedly connected inside the information processing box. The positioning plate one is below the positioning plate two, and a wireless network signal transceiver module is fixedly connected to the top of the positioning plate two.

[0005] However, in the process of implementing the technical solutions of the invention in the embodiments of the present application, it is found that the above technologies have at least the following technical problems: At present, the real-time monitoring system for the aquaculture environment pays more attention to the monitoring of the aquaculture environment. The actual aquaculture environment may be affected by various factors and cannot maintain the best aquaculture conditions, and the aquaculture efficiency cannot be improved. Summary of the Invention

[0006] In view of the deficiencies of the prior art, the present invention provides a real-time monitoring system and method for the environment of a cattle farm for cattle breeding, which can effectively solve the problems involved in the above background art.

[0007] To achieve the above objectives, the present invention is realized through the following technical solutions: In a first aspect of the present invention, a real-time monitoring system for the environment of a cattle farm for cattle breeding is provided, including: a farm data collection module for obtaining the breeding condition parameters of the farm and matching the initial ventilation strategy according to the breeding condition parameters.

[0008] The farm environment quality analysis module is used to collect the environmental data of the farm for analysis and obtain the farm environment quality evaluation value.

[0009] The farm ventilation strategy adjustment module is used to adjust the initial ventilation strategy according to the breeding condition parameters of the farm and the farm environment quality evaluation value.

[0010] As a further method, the initial ventilation strategy is obtained by matching according to the breeding condition parameters. The specific matching process is as follows: the breeding condition parameters include the floor area of the farm, the total number of cows, and the proportion of adult cows. The initial ventilation strategy includes the initial ventilation volume and the initial ventilation frequency.

[0011] The farm ventilation demand index is obtained by processing the breeding condition parameters, and the initial ventilation volume and the initial ventilation frequency are obtained by matching the farm ventilation demand index with the ventilation strategies corresponding to the preset ventilation demand index intervals in the cattle breeding database.

[0012] As a further method, the environmental data of the farm is collected for analysis. The specific analysis process is as follows: the environmental data of the farm includes the sanitation condition data and the air quality data.

[0013] The farm sanitation quality evaluation index is obtained by processing the sanitation condition data, and the farm air quality evaluation index is obtained by processing the air quality data. The farm environment quality evaluation value is obtained through comprehensive analysis.

[0014] As a further method, the farm sanitation quality evaluation index is obtained by processing the sanitation condition data. The specific processing process is as follows: the sanitation condition data includes the cleaning frequency, the disinfection frequency, the proportion of adult cows, and the daily average feed amount.

[0015] The critical cleaning frequency, the critical disinfection frequency, the critical proportion of adult cows, the reference standard daily average feed amount, and the allowable deviation of the daily average feed amount are extracted from the cattle breeding database, and the farm sanitation quality evaluation index is obtained through comprehensive analysis.

[0016] As a further method, the farm air quality evaluation index is obtained by processing the air quality data. The specific processing process is as follows: the air quality data includes the concentrations of various harmful gases, the concentration of suspended particulate matter, and the microbial content at each air monitoring point.

[0017] The critical concentration of harmful gases, the critical concentration of suspended particulate matter, and the critical microbial content are extracted from the cattle breeding database, and the farm air quality evaluation index is obtained through comprehensive analysis.

[0018] As a further method, the initial ventilation strategy is adjusted according to the breeding condition parameters of the breeding farm and the evaluation value of the breeding farm environmental quality. The specific adjustment process is as follows: The ventilation demand index of the breeding farm is obtained by processing the breeding condition parameters.

[0019] The ventilation demand index of the breeding farm is matched from the cattle breeding database to obtain the evaluation threshold of the breeding farm environmental quality.

[0020] If the evaluation value of the breeding farm environmental quality is less than the evaluation threshold of the breeding farm environmental quality, ventilation operation is immediately carried out according to the preset maximum ventilation volume in the cattle breeding database.

[0021] As a further method, the adjustment of the initial ventilation strategy according to the breeding condition parameters of the breeding farm and the evaluation value of the breeding farm environmental quality further includes: If the evaluation value of the breeding farm environmental quality is greater than or equal to the evaluation threshold of the breeding farm environmental quality, the absolute difference between the evaluation value of the breeding farm environmental quality and the evaluation threshold of the breeding farm environmental quality is marked as the environmental deviation value.

[0022] The environmental deviation value is matched from the cattle breeding database to obtain the adjusted ventilation volume and the adjusted ventilation frequency, and the initial ventilation strategy is adjusted according to the adjusted ventilation volume and the adjusted ventilation frequency.

[0023] As a further method, the adjustment of the initial ventilation strategy according to the adjusted ventilation volume and the adjusted ventilation frequency, the specific adjustment process is as follows: The initial ventilation volume is subtracted from the adjusted ventilation volume to obtain the updated ventilation volume, the initial ventilation frequency is subtracted from the adjusted ventilation frequency to obtain the updated ventilation frequency, and ventilation operation is carried out according to the updated ventilation volume and the updated ventilation frequency.

[0024] As a further method, the evaluation value of the breeding farm environmental quality, the specific numerical expression is: ; Wherein, represents the evaluation value of the breeding farm environmental quality, represents the evaluation index of the breeding farm sanitation quality, represents the evaluation index of the breeding farm air quality, represents the influence factor of the breeding farm environmental quality corresponding to the set evaluation index of the breeding farm sanitation quality, represents the influence factor of the breeding farm environmental quality corresponding to the set evaluation index of the breeding farm environmental stability.

[0025] The second aspect of the present invention provides a method for real-time monitoring of the breeding farm environment for cattle breeding, including: obtaining the breeding condition parameters of the breeding farm, and matching the initial ventilation strategy according to the breeding condition parameters.

[0026] Collect the environmental data of the breeding farm for analysis to obtain the evaluation value of the breeding farm environmental quality.

[0027] Adjust the initial ventilation strategy according to the breeding condition parameters of the breeding farm and the evaluation value of the environmental quality of the breeding farm.

[0028] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) By providing a real-time monitoring system and method for the environment of a breeding farm for cattle breeding, the present invention can provide a scientific basis for the daily management of the breeding farm, so as to realize the optimal utilization of resources, meet the market demand for high-quality food, enhance the market competitiveness of the breeding farm, and help to accurately adjust the ventilation strategy, thereby ensuring that cattle breathe fresh air, reducing the occurrence of respiratory diseases, and further providing a suitable growth environment for cattle and improving the production performance of the breeding farm.

[0029] (2) By evaluating the air quality evaluation index of the breeding farm, the present invention can help the manager timely discover abnormal air quality and remind the manager to take corresponding measures for intervention, thereby avoiding further deterioration of air quality, and high-quality air quality helps cattle maintain a good physiological state, improve their appetite, digestion ability and immunity, thereby increasing the weight and meat quality of cattle.

[0030] (3) By evaluating the ventilation demand index of the breeding farm, the present invention can ensure the air circulation in the breeding farm, provide a healthier and more comfortable breathing environment for livestock and poultry, help to eliminate pathogenic microorganisms and harmful gases, reduce the risk of disease transmission, and further promote the growth and development of livestock and poultry, thereby improving the production efficiency and feed conversion rate of the breeding farm. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The present invention is further described with reference to the accompanying drawings, but the embodiments in the drawings do not constitute any limitation to the present invention. For those of ordinary skill in the art, other drawings can also be obtained according to the following drawings without creative efforts.

[0032] Figure 1 It is a schematic diagram of the connection of system modules of the present invention.

[0033] Figure 2 It is a schematic diagram of the method flow of the present invention.

[0034] Figure 3 It is a schematic diagram of the functional relationship between the environmental quality evaluation value of the breeding farm of the present invention and the air quality evaluation index of the breeding farm. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0035] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a 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 those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0036] Referring to Figure 1 As shown, the first aspect of the present invention provides a real-time monitoring system for the environment of a cattle farm, including: a farm data acquisition module for obtaining the breeding condition parameters of the farm and matching the initial ventilation strategy according to the breeding condition parameters.

[0037] A farm environmental quality analysis module for collecting and analyzing the environmental data of the farm to obtain the farm environmental quality evaluation value.

[0038] A farm ventilation strategy adjustment module for adjusting the initial ventilation strategy according to the breeding condition parameters of the farm and the farm environmental quality evaluation value.

[0039] Specifically, the initial ventilation strategy is matched according to the breeding condition parameters. The specific matching process is as follows: the breeding condition parameters include the floor area of the farm, the total number of cattle, and the proportion of adult cattle. The initial ventilation strategy includes the initial ventilation volume and the initial ventilation frequency.

[0040] The ventilation demand index of the farm is processed according to the breeding condition parameters, and the ventilation strategy corresponding to each ventilation demand index interval preset in the cattle breeding database is matched with the ventilation demand index of the farm to obtain the initial ventilation volume and the initial ventilation frequency.

[0041] In a specific embodiment, the size of the floor area of the farm directly determines the coverage range of the ventilation system and the required air volume. By considering the floor area, it can be ensured that the ventilation system can cover the entire farm and provide sufficient air circulation for the cattle. The floor area of the farm can be directly measured by a rangefinder. The total number of cattle is an important factor affecting the ventilation demand. As the number of cattle increases, the demand for fresh air will also increase accordingly. By considering the total number of cattle, it can be ensured that the ventilation system can provide sufficient air volume to meet the normal breathing and growth needs of the cattle. The total number of cattle can be obtained by statistics. There are differences in weight, breathing frequency, and heat generation between adult cattle and minor cattle. Therefore, their ventilation demands are also different. By considering the proportion of adult cattle, the parameters of the ventilation system can be adjusted to better meet the different needs of adult cattle and minor cattle. The proportion of adult cattle can be obtained by calculating the ratio of the number of adult cattle to the total number of cattle, and the number of adult cattle can also be obtained by statistics.

[0042] Furthermore, the ventilation demand index of the farm has the following specific numerical expression: ; where represents the ventilation demand index of the farm, e represents the natural constant, represents the floor area of the farm, represents the critical floor area of the farm, represents the total number of cattle, represents the critical total number of cattle, represents the ratio of adult cattle, represents the critical ratio of adult cattle, represents the ventilation demand impact factor corresponding to the set floor area of the farm, represents the ventilation demand impact factor corresponding to the set total number of cattle, represents the ventilation demand impact factor corresponding to the set ratio of adult cattle.

[0043] The algorithm of this embodiment combines the floor area of the farm, the total number of cattle, and the ratio of adult cattle, and comprehensively analyzes to obtain the ventilation demand index of the farm. Generally speaking, the larger the floor area, the more cattle can be raised; the total number of cattle determines the population structure of the farm, including the number of cattle at different growth stages such as adult cattle and calves; the floor area and facility layout of the farm will affect the feeding environment and comfort of adult cattle. If the floor area is small or the facility layout is unreasonable, it may lead to problems such as limited activity space and poor ventilation for adult cattle, which in turn affects the ratio of adult cattle. Through comprehensive analysis, a more comprehensive, accurate, and in-depth ventilation demand index of the farm can be obtained.

[0044] Table 1 Example data of the ventilation demand index of the farm

[0045] As shown in Table 1, the ventilation demand index of the farm is jointly determined by the floor area of the farm, the total number of cows, and the proportion of adult cows. In a specific embodiment, the critical floor area of the farm is 100 mu, the critical total number of cows is 200, and the critical proportion of adult cows is 80%. The ventilation demand impact factor corresponding to the set floor area of the farm is 0.3, the ventilation demand impact factor corresponding to the set total number of cows is 0.4, and the ventilation demand impact factor corresponding to the set proportion of adult cows is 0.3. This formula takes into account three key factors, namely the floor area of the farm, the total number of cows, and the proportion of adult cows, which can make the design of the ventilation system more accurate, reduce the failure rate and maintenance cost of the ventilation system, and by adjusting the parameters of the ventilation system, the breeding environment can be optimized, the comfort and growth rate of cows can be improved, which helps the farm managers better understand the ventilation demand of the farm, so as to formulate more reasonable ventilation management strategies, ensure the comfort and hygiene of the breeding environment, reduce the occurrence and spread of diseases, and also help the farm produce higher-quality cow products, improve the overall operation efficiency and market competitiveness. By standardizing the floor area of the farm, the total number of cows, and the proportion of adult cows, it is ensured that they are compared on the same scale, improving the fairness and comparability of the evaluation. At the same time the setting helps to avoid waste of resources and environmental pressure caused by over-expansion, the setting helps to ensure that while the farm maintains efficient operation, it will not cause problems such as hindered growth of cows and spread of diseases due to overcrowding, the setting helps to balance the breeding cycle and the slaughter rate, ensuring that while the farm maintains economic benefits, it will not sacrifice the quality and growth rate of cows due to excessive pursuit of the slaughter volume. By weighting the impacts of the floor area of the farm, the total number of cows, and the proportion of adult cows, it reflects their relative importance in the evaluation index, and the weights of different factors can be adjusted according to different needs, making the model have good adaptability. It is not difficult to see that the larger the floor area of the farm, the total number of cows, or the proportion of adult cows, the larger the ventilation demand index of the farm. By evaluating the ventilation demand index of the farm, it can ensure the air circulation in the farm, timely remove harmful gases and excessive carbon dioxide, keep the air fresh, help reduce the concentration of harmful substances in the air, provide a healthier and more comfortable breathing environment for livestock and poultry, and good ventilation conditions can significantly reduce the incidence of livestock and poultry diseases, help remove pathogenic microorganisms and harmful gases, reduce the risk of disease transmission, and also maintain the physiological balance of livestock and poultry, improve their immunity, thus enhancing their resistance to diseases, further promoting the growth and development of livestock and poultry, thereby improving their production performance and feed conversion rate, and can also ensure that the ventilation equipment can play the maximum utility when needed, while avoiding waste of resources caused by overuse or idleness.

[0046] It should be understood that in this embodiment , and are respectively the influencing factors of the ventilation requirement of the farm corresponding to the preset floor area of the farm, the total number of cattle, and the proportion of adult cattle in the cattle breeding database, which represent the numerical values of the influence degree of the floor area of the farm, the total number of cattle, and the proportion of adult cattle on the ventilation requirement index of the farm. When used, they can be directly obtained from the cattle breeding database, and their corresponding relationship can be a preset mapping relationship. For example, the floor area of the farm, the total number of cattle, and the proportion of adult cattle form a mapping set with the influencing factors of the ventilation requirement of the farm corresponding to the preset floor area of the farm, the total number of cattle, and the proportion of adult cattle in the cattle breeding database. Inputting the real-time floor area of the farm, the total number of cattle, and the proportion of adult cattle into the mapping set to obtain the influencing factors of the ventilation requirement of the farm corresponding to the floor area of the farm, the total number of cattle, and the proportion of adult cattle. The mapping relationship therein can be a one-to-one or many-to-one relationship. In this example, its value range is between 0 and 1.

[0047] It should be noted that in this embodiment, the ventilation requirement index of the farm is a quantitative index obtained by analyzing the floor area of the farm, the total number of cattle, and the proportion of adult cattle, and is used to quantify the ventilation requirement of the farm.

[0048] Specifically, the environmental data of the farm is collected and analyzed. The specific analysis process is as follows: The environmental data of the farm includes sanitation condition data and air quality data.

[0049] The sanitation condition data is processed to obtain the sanitation quality assessment index of the farm, the air quality data is processed to obtain the air quality assessment index of the farm, and the environmental quality assessment value of the farm is obtained through comprehensive analysis.

[0050] Furthermore, the sanitation condition data is processed to obtain the sanitation quality assessment index of the farm. The specific processing process is as follows: The sanitation condition data includes the cleaning frequency, disinfection frequency, proportion of calves, and daily average feed amount.

[0051] The critical cleaning frequency, critical disinfection frequency, critical proportion of calves, reference standard daily average feed amount, and allowable deviation daily average feed amount are extracted from the cattle breeding database, and the sanitation quality assessment index of the farm is obtained through comprehensive analysis.

[0052] In a specific embodiment, regular cleaning can remove dirt, garbage, and feces inside and outside the cattle shed, keeping the breeding environment clean. Regular disinfection can kill or inhibit pathogenic microorganisms inside and outside the cattle shed, including bacteria, viruses, and fungi, etc. A high proportion of calves may increase the environmental pressure on the farm. Since calves are more sensitive to pathogenic microorganisms in the environment, a high proportion of calves may increase the risk of disease transmission, thereby reducing the hygiene quality of the farm. The daily average feed amount refers to the average feed amount per cow per day. A reasonable feed formula and sufficient feed supply can meet the nutritional needs of cattle growth and development. Precise feed feeding amount can reduce problems caused by feed waste and overfeeding.

[0053] Specifically, the evaluation index of the farm hygiene quality has the following specific numerical expression: ; where represents the evaluation index of the farm hygiene quality, represents the cleaning frequency, represents the critical cleaning frequency, represents the disinfection frequency, represents the critical disinfection frequency, represents the calf occupancy ratio, represents the critical calf occupancy ratio, represents the daily average feed amount, represents the reference standard daily average feed amount, represents the allowable deviation of the daily average feed amount, represents the impact factor of the farm hygiene quality evaluation corresponding to the set cleaning frequency, represents the impact factor of the farm hygiene quality evaluation corresponding to the set disinfection frequency, represents the impact factor of the farm hygiene quality evaluation corresponding to the set calf occupancy ratio, represents the impact factor of the farm hygiene quality evaluation corresponding to the set daily average feed amount.

[0054] The algorithm of this embodiment combines the cleaning frequency, disinfection frequency, calf occupancy ratio, and daily average feed amount to comprehensively analyze and obtain the evaluation index of the farm hygiene quality. Regular cleaning provides a good foundation for disinfection, ensuring that disinfectants can more effectively contact and kill pathogenic microorganisms. At the same time, regular disinfection can also consolidate the results of cleaning and reduce the survival chance of pathogenic microorganisms in the environment. Higher cleaning and disinfection frequencies can keep the cowshed clean and hygienic, helping to improve the survival rate of calves and reduce the death risk caused by diseases. And in farms with a higher calf occupancy ratio, more frequent cleaning and disinfection may be required to ensure the health of calves. At the same time, in cattle farms, feed needs to be reasonably allocated according to the calf occupancy ratio and growth requirements. Calves need more nutrients such as protein, minerals, and vitamins to support their growth and development. The higher the calf occupancy ratio, the more reasonable the daily average feed amount must be. Through comprehensive analysis, a more comprehensive, accurate, and in-depth evaluation index of the farm hygiene quality can be obtained.

[0055] It should be noted that in this embodiment, four key factors are considered, namely the cleaning frequency, disinfection frequency, calf occupancy ratio, and daily average feed amount, which can provide a more comfortable and healthy growth environment for cattle, can kill or inhibit the growth of pathogenic microorganisms, significantly reduce the occurrence and spread risk of diseases, thereby protecting the health of cattle, helping to reasonably allocate feed, can avoid feed waste, improve the utilization rate of feed, thereby promoting their healthy growth, increasing the slaughter rate and quality, and further improving the breeding quality, enhancing the quality and market competitiveness of cattle. By standardizing the cleaning frequency, disinfection frequency, calf occupancy ratio, and daily average feed amount, it is ensured that they are compared on the same scale, improving the fairness and comparability of the evaluation. At the same time the setting helps the farm control the risk of disease transmission and reduce environmental pressure. the setting helps to avoid feed waste or shortage and ensures that each cow can obtain appropriate nutritional intake. By weighting the impacts of the cleaning frequency, disinfection frequency, calf occupancy ratio, and daily average feed amount, their relative importance in the evaluation index is reflected, and the weights of different factors can be adjusted according to different needs, making the formula highly adaptable. It is not difficult to see that when the cleaning frequency is larger, or the disinfection frequency is larger, or the calf occupancy ratio is smaller, or the deviation of the daily average feed amount is smaller, the evaluation index of the farm hygiene quality is larger. By evaluating the evaluation index of the farm hygiene quality, the spread of pathogens and harmful substances can be more effectively controlled, thereby reducing the incidence of animal diseases. And cleaning, disinfection, and reasonable feeding management help to enhance the immunity of animals, making them more resistant to the invasion of pathogens, helping to improve the quality of livestock products, including aspects such as the taste, color, and nutritional value of the meat, thereby meeting the needs of consumers for high-quality livestock products, and can also timely discover deficiencies in management and take corresponding improvement measures to continuously improve the management level.

[0056] It should be understood that in this embodiment , , and are respectively the influencing factors of the farm hygiene quality assessment corresponding to the preset cleaning frequency, disinfection frequency, calf occupancy ratio, and daily average feed amount in the cattle breeding database, which are the numerical values representing the influence degrees of the cleaning frequency, disinfection frequency, calf occupancy ratio, and daily average feed amount on the farm hygiene quality assessment index. When in use, they can be directly obtained from the cattle breeding database, and their corresponding relationships can be pre-set mapping relationships. For example, the cleaning frequency, disinfection frequency, calf occupancy ratio, and daily average feed amount form a mapping set with the influencing factors of the farm hygiene quality assessment corresponding to the preset cleaning frequency, disinfection frequency, calf occupancy ratio, and daily average feed amount in the cattle breeding database. Inputting the real-time cleaning frequency, disinfection frequency, calf occupancy ratio, and daily average feed amount into the mapping set to obtain the influencing factors of the farm hygiene quality assessment corresponding to the cleaning frequency, disinfection frequency, calf occupancy ratio, and daily average feed amount. The mapping relationships therein can be one-to-one or many-to-one relationships. In this example, their value ranges are between 0 and 1.

[0057] It should be explained that the farm hygiene quality assessment index in this embodiment is a quantitative index obtained by analyzing the cleaning frequency, disinfection frequency, calf occupancy ratio, and daily average feed amount, and is used to quantify the hygiene quality of the farm.

[0058] Specifically, processing the air quality data to obtain the farm air quality assessment index. The specific processing process is as follows: The air quality data includes the concentrations of various harmful gases, suspended particulate matter concentrations, and microbial contents at each air monitoring point.

[0059] Extracting the critical harmful gas concentration, critical suspended particulate matter concentration, and critical microbial content from the cattle breeding database, and comprehensively analyzing to obtain the farm air quality assessment index.

[0060] In a specific embodiment, harmful gases, suspended particulate matter, and microorganisms are all important transmission vectors of animal respiratory diseases. By controlling the concentrations of these pollutants, the transmission risk of diseases in the farm can be reduced. Each harmful gas includes ammonia, hydrogen sulfide, carbon dioxide, and carbon monoxide. The concentrations of each harmful gas can be monitored by a gas detector, the suspended particulate matter concentration can be obtained by a laser scattering instrument, and the microbial content can be obtained by a biosensor.

[0061] Furthermore, the specific numerical expression of the farm air quality assessment index is: ; wherein, represents the farm air quality assessment index, represents the concentration of the j-th harmful gas at the x-th air monitoring point, represents the critical harmful gas concentration, represents the concentration of suspended particulate matter at the x-th air monitoring point, represents the critical concentration of suspended particulate matter, represents the microbial content at the x-th air monitoring point, represents the critical microbial content, represents the impact factor of the air quality assessment of the farm corresponding to the set harmful gas concentration, represents the impact factor of the air quality assessment of the farm corresponding to the set total suspended particulate matter concentration, represents the impact factor of the air quality assessment of the farm corresponding to the set microbial content. j represents the serial number of each harmful gas type, j = 1, 2, 3,..., n, where n represents the total number of harmful gas types, n = 4, x represents the serial number of each air monitoring point, x = 1, 2, 3,..., y, and y represents the total number of air monitoring points.

[0062] The algorithm of this embodiment combines the concentrations of various harmful gases, the concentration of suspended particulate matter, and the microbial content at each air monitoring point, and comprehensively analyzes to obtain the air quality assessment index of the farm. Suspended particulate matter can be a carrier of harmful gases, increasing their spread range and residence time in the air. At the same time, the presence of harmful gases may also affect the formation and stability of suspended particulate matter. The increase in the concentration of harmful gases can provide favorable conditions for the growth of some microorganisms, thus increasing the microbial content in the air. Suspended particulate matter can attach to and carry a large number of microorganisms, including bacteria, viruses, fungi, etc., thus increasing the transmission risk of microorganisms in the air. The size, shape, and composition of suspended particulate matter may affect the activity and survival time of microorganisms. For example, larger particulate matter may be more easily attached by microorganisms, while smaller particulate matter may be more easily inhaled into the respiratory tract by animals. Comprehensive analysis can obtain a more comprehensive, accurate, and in-depth air quality assessment index of the farm.

[0063] It should be noted that in this embodiment, three key factors are considered, namely, the concentrations of various harmful gases, the concentration of suspended particulate matter, and the microbial content at each air monitoring point. This can comprehensively understand the air quality status of the farm, promptly detect and handle potential pollution sources. Once it is found that the air quality does not meet the standards, measures can be immediately taken for intervention, such as increasing the ventilation volume, adjusting the feeding density, using air purification equipment, etc., thereby effectively improving the air quality. And good air quality helps animals maintain a good physiological state, improve feed utilization rate and production performance. For example, reducing the concentration of harmful gases such as ammonia can reduce the stress response of animals, increase the weight gain rate and meat quality of cattle. At the same time, it can provide a scientific basis for the daily management of the farm. For example, the feeding density, feed formula, and cleaning and disinfection frequency can be adjusted according to the monitoring data to maximize the breeding benefits. By standardizing the concentrations of various harmful gases, the concentration of suspended particulate matter, and the microbial content at each air monitoring point, it is ensured that they are compared on the same order of magnitude, improving the fairness and comparability of the evaluation. At the same time 、 and are set to help reduce health problems such as respiratory diseases, toxic hepatitis, and myocardial damage caused by cattle inhaling harmful gases for a long time, reduce health problems such as respiratory inflammation and pneumonia caused by cattle inhaling dust, and reduce infectious diseases caused by cattle contacting pathogenic microorganisms in the air. By weighting the impacts of the concentrations of various harmful gases, the concentration of suspended particulate matter, and the microbial content at each air monitoring point, their relative importance in the evaluation index is reflected. The weights of different factors can be adjusted according to different needs, making the formula have good adaptability. It is not difficult to see that when the concentration of various harmful gases or the concentration of suspended particulate matter or the microbial content is smaller, the air quality evaluation index of the farm is larger. By evaluating the air quality evaluation index of the farm, it can help managers promptly detect air quality anomalies and remind managers to take corresponding measures for intervention, thereby avoiding further deterioration of air quality. And high-quality air quality helps cattle maintain a good physiological state, improve their appetite, digestion ability and immunity, thereby increasing the weight and meat quality of cattle. At the same time, it can provide a scientific basis for the daily management of the farm. Managers can adjust breeding parameters such as feeding density, feed formula, and ventilation according to the evaluation results to maximize the breeding benefits. It can also achieve energy conservation and emission reduction while ensuring air quality by optimizing the ventilation system and improving energy utilization efficiency. Further, it can enhance consumers' trust in breeding products and promote the sustainable development of the farm.

[0064] It should be understood that in this embodiment 、 and They are the influencing factors for the air quality assessment of the farm corresponding to the preset harmful gas concentration, suspended particulate matter concentration, and microbial content in the cattle breeding database, which are numerical values representing the influence degrees of the harmful gas concentration, suspended particulate matter concentration, and microbial content on the air quality assessment index of the farm. They can be directly obtained from the cattle breeding database during use, and their corresponding relationships can be pre-set mapping relationships. For example, the harmful gas concentration, suspended particulate matter concentration, and microbial content form a mapping set with the influencing factors for the air quality assessment of the farm corresponding to the preset harmful gas concentration, suspended particulate matter concentration, and microbial content in the cattle breeding database. Inputting the real-time harmful gas concentration, suspended particulate matter concentration, and microbial content into the mapping set can obtain the influencing factors for the air quality assessment of the farm corresponding to the harmful gas concentration, suspended particulate matter concentration, and microbial content. The mapping relationships therein can be one-to-one or many-to-one relationships. In this example, their value ranges are between 0 and 1.

[0065] It should be noted that in this embodiment, the air quality assessment index of the farm is a quantitative index obtained by analyzing the harmful gas concentration, suspended particulate matter concentration, and microbial content, and is used to quantify the air quality of the farm.

[0066] Specifically, the evaluation value of the farm environment quality has the following specific numerical expression: ; where, represents the evaluation value of the farm environment quality, represents the evaluation index of the farm hygiene quality, represents the evaluation index of the farm air quality, represents the influencing factor of the farm environment quality corresponding to the set evaluation index of the farm hygiene quality, represents the influencing factor of the farm environment quality corresponding to the set evaluation index of the farm environment stability.

[0067] For example, Figure 3 as shown in, in a specific embodiment, = 0.3, = 0.4. When = 0.1, the functional relationship between the evaluation value of the farm environment quality and the evaluation index of the farm air quality is as shown by curve a; when = 0.5, the functional relationship between the evaluation value of the farm environment quality and the evaluation index of the farm air quality is as shown by curve b; when = 1, the functional relationship between the evaluation value of the farm environment quality and the evaluation index of the farm air quality is as shown by curve c.

[0068] The algorithm of this embodiment combines the health quality assessment index of the farm and the air quality assessment index of the farm, and comprehensively analyzes to obtain the environmental quality assessment value of the farm. The air quality in the farm directly affects the respiratory system and overall health of animals. If the air quality is poor, such as too high concentration of harmful gases or too many suspended particles, it will cause damage to animal health, and further affect the overall health quality of the farm. On the contrary, if the overall health condition of the farm is good, such as clean environment and standardized feeding management, it will also help to improve the air quality. Through comprehensive analysis, a more comprehensive, accurate and in-depth environmental quality assessment value of the farm can be obtained.

[0069] It should be noted that in this embodiment, two key factors are considered, namely the health quality assessment index of the farm and the air quality assessment index of the farm, which helps to more comprehensively evaluate the environmental quality of the farm, and can also accurately adjust feeding strategies, such as feed ratio, feeding density, drinking water management, etc., to achieve the optimal utilization of resources. And healthy animals can produce higher-quality products such as meat, eggs, and milk, meet the market demand for high-quality food, enhance the market competitiveness of the farm, and at the same time can reduce the emission of harmful substances, such as reducing the release of harmful gases such as ammonia and hydrogen sulfide, reducing the pollution to the surrounding environment. Further, it can enhance consumers' trust in the farm, improve the brand image and market competitiveness of the farm products. By weighting the impacts of the health quality assessment index of the farm and the air quality assessment index of the farm, their relative importance in the assessment index is reflected, and the weights of different factors can be adjusted according to different needs, making the formula have good adaptability. It is not difficult to see that when the health quality assessment index of the farm or the air quality assessment index of the farm is larger, the environmental quality assessment value of the farm is larger. By evaluating the environmental quality assessment value of the farm, it can be understood whether environmental factors such as temperature, humidity, and light in the farm are suitable for the growth of cows, so as to make corresponding adjustments, provide a more comfortable and healthy growth environment for cows, and also understand the pollution emission situation of the farm and take corresponding treatment measures, such as building sewage treatment facilities and implementing fecal resource utilization, etc., to reduce the pollution to the environment, help to adjust the ventilation strategy, so as to ensure that cows breathe fresh air, reduce the occurrence of respiratory diseases, and further provide a suitable growth environment for cows and improve their production performance.

[0070] It should be understood that in this embodiment and They are the influencing factors of the farm environmental quality assessment corresponding to the preset farm hygiene quality assessment index and the farm air quality assessment index in the cattle breeding database, which represent the degree of influence of the farm hygiene quality assessment index and the farm air quality assessment index on the farm environmental quality assessment value. When used, they can be directly obtained from the cattle breeding database, and their corresponding relationship can be a preset mapping relationship. For example, the farm hygiene quality assessment index and the farm air quality assessment index form a mapping set with the influencing factors of the farm environmental quality assessment corresponding to the preset farm hygiene quality assessment index and the farm air quality assessment index in the cattle breeding database. Inputting the real-time farm hygiene quality assessment index and the farm air quality assessment index into the mapping set to obtain the influencing factors of the farm environmental quality assessment corresponding to the farm hygiene quality assessment index and the farm air quality assessment index. The mapping relationship therein can be a one-to-one or many-to-one relationship. In this example, its value range is between 0 and 1.

[0071] It should be noted that in this embodiment, the farm environmental quality assessment value is a quantitative index obtained by analyzing the farm hygiene quality assessment index and the farm air quality assessment index, and is used to quantify the environmental quality of the farm.

[0072] In a specific embodiment, the initial ventilation strategy is adjusted according to the breeding condition parameters of the farm and the farm environmental quality assessment value. The specific adjustment process is as follows: the ventilation demand index of the farm is obtained by processing the breeding condition parameters.

[0073] The ventilation demand index of the farm is matched from the cattle breeding database to obtain the farm environmental quality assessment threshold corresponding to each ventilation demand index interval of the farm.

[0074] If the farm environmental quality assessment value is less than the farm environmental quality assessment threshold, ventilation operation is immediately carried out according to the preset maximum ventilation volume in the cattle breeding database.

[0075] It should be noted that when the farm environmental quality assessment value is less than the farm environmental quality assessment threshold, it indicates that the environmental quality of the farm has fallen below the preset safety or suitability standard, which may have an adverse impact on the health and production performance of cattle. Therefore, immediately carrying out ventilation operation according to the preset maximum ventilation volume in the cattle breeding database is an emergency response measure aimed at quickly improving the breeding environment and ensuring the health and production benefits of cattle.

[0076] Specifically, adjusting the initial ventilation strategy according to the breeding condition parameters of the farm and the farm environmental quality assessment value further includes: if the farm environmental quality assessment value is greater than or equal to the farm environmental quality assessment threshold, the absolute difference between the farm environmental quality assessment value and the farm environmental quality assessment threshold is marked as the environmental deviation value.

[0077] Match the environmental deviation values from the cattle breeding database to obtain the adjusted ventilation volume and adjusted ventilation frequency corresponding to each environmental deviation value range, and adjust the initial ventilation strategy according to the adjusted ventilation volume and adjusted ventilation frequency.

[0078] Furthermore, adjust the initial ventilation strategy according to the adjusted ventilation volume and adjusted ventilation frequency. The specific adjustment process is as follows: Subtract the adjusted ventilation volume from the initial ventilation volume to obtain the updated ventilation volume, subtract the adjusted ventilation frequency from the initial ventilation frequency to obtain the updated ventilation frequency, and perform ventilation operations according to the updated ventilation volume and updated ventilation frequency. By calculating the updated ventilation volume and updated ventilation frequency, precise control of the cattle shed ventilation system can be achieved, ensuring that the ventilation effect reaches the best state. And precise ventilation volume control helps maintain the concentration of harmful gases in the cattle shed within a safe range, while providing sufficient oxygen supply. Moreover, the breeding environment is dynamically changing. By continuously updating the ventilation volume and ventilation frequency, it can be ensured that the cattle shed ventilation system can adapt to different environmental conditions and maintain the stability of the environment in the cattle shed.

[0079] The cattle breeding database is used to store cattle breeding-related data, including: the influence factor of the ventilation demand of the breeding farm corresponding to the set floor area of the breeding farm, the influence factor of the ventilation demand of the breeding farm corresponding to the set total number of cattle, the influence factor of the ventilation demand of the breeding farm corresponding to the set ratio of adult cattle, the critical cleaning frequency, the critical disinfection frequency, the critical ratio of calves, the reference standard daily feed amount, the allowable deviation of the daily feed amount, the critical concentration of harmful gases, the critical concentration of suspended particulate matter, the critical microbial content, the influence factor of the environmental quality assessment of the breeding farm corresponding to the set environmental quality assessment index of the breeding farm, the influence factor of the environmental quality assessment of the breeding farm corresponding to the set environmental stability assessment index of the breeding farm, and the environmental quality assessment threshold of the breeding farm, etc.

[0080] Refer to Figure 2 As shown, the second aspect of the present invention provides a method for real-time monitoring of the environment of a breeding farm for cattle breeding, including: obtaining the breeding condition parameters of the breeding farm, and matching the initial ventilation strategy according to the breeding condition parameters.

[0081] Collect the environmental data of the breeding farm for analysis to obtain the environmental quality assessment value of the breeding farm.

[0082] Adjust the initial ventilation strategy according to the breeding condition parameters of the breeding farm and the environmental quality assessment value of the breeding farm.

[0083] The above content is only an example and explanation of the structure of the present invention. Those skilled in the art of this technology make various modifications or supplements to the described specific embodiments or use similar methods for substitution. As long as they do not deviate from the structure of the invention or exceed the scope defined by the present invention, they should fall within the protection scope of the present invention.

Claims

1. A real-time monitoring system for cattle breeding farm environment, characterized in that: include: The farm data collection module is used to obtain the breeding condition parameters of the farm and obtain the initial ventilation strategy according to the breeding condition parameters; The farm environmental quality analysis module is used to collect environmental data of the farm for analysis and obtain the farm environmental quality assessment value; The farm ventilation strategy adjustment module is used to adjust the initial ventilation strategy according to the farm breeding condition parameters and the farm environmental quality assessment value.

2. The real-time monitoring system for cattle breeding farm environment according to claim 1 is characterized in that: The initial ventilation strategy is obtained by matching the breeding condition parameters, and the specific matching process is as follows: The breeding condition parameters include the area of ​​the breeding farm, the total number of cattle and the proportion of adult cattle, and the initial ventilation strategy includes the initial ventilation volume and the initial ventilation frequency; The ventilation demand index of the farm is obtained according to the breeding condition parameters, and the ventilation demand index of the farm is matched with the ventilation strategy corresponding to the ventilation demand index interval of each farm preset in the cattle breeding database to obtain the initial ventilation volume and initial ventilation frequency.

3. The real-time monitoring system for cattle breeding farm environment according to claim 1, characterized in that: The environmental data of the farm is collected and analyzed, and the specific analysis process is as follows: The environmental data of the farm includes sanitary condition data and air quality data; The sanitary condition data are processed to obtain the farm sanitary quality assessment index, the air quality data are processed to obtain the farm air quality assessment index, and a comprehensive analysis is performed to obtain the farm environmental quality assessment value.

4. The real-time monitoring system for cattle breeding farm environment according to claim 3 is characterized in that: The sanitary condition data is processed to obtain the farm sanitary quality assessment index, and the specific processing process is as follows: The sanitary condition data include cleaning frequency, disinfection frequency, percentage of adult cattle and average daily feed amount; The critical cleaning frequency, critical disinfection frequency, critical adult cattle ratio, reference standard average daily feed amount and allowable deviation average daily feed amount were extracted from the cattle breeding database, and a comprehensive analysis was performed to obtain the farm hygiene quality assessment index.

5. The real-time monitoring system for cattle breeding farm environment according to claim 3 is characterized in that: The air quality data is processed to obtain the farm air quality assessment index, and the specific processing process is as follows: The air quality data include the concentration of harmful gases, suspended particulate matter and microbial content at each air monitoring point; The critical concentration of harmful gases, critical concentration of suspended particulate matter and critical content of microorganisms were extracted from the cattle breeding database, and the farm air quality assessment index was obtained through comprehensive analysis.

6. The real-time monitoring system for cattle breeding farm environment according to claim 1, characterized in that: The initial ventilation strategy is adjusted according to the breeding condition parameters of the breeding farm and the environmental quality assessment value of the breeding farm. The specific adjustment process is: The ventilation demand index of the farm is obtained according to the parameters of the breeding conditions; The ventilation demand index of the farm was matched with the cattle breeding database to obtain the threshold value of the environmental quality assessment of the farm; If the farm environmental quality assessment value is less than the farm environmental quality assessment threshold, ventilation operation will be performed immediately according to the maximum ventilation volume preset in the cattle breeding database.

7. The real-time monitoring system for cattle breeding farm environment according to claim 6, characterized in that: The initial ventilation strategy is adjusted according to the breeding condition parameters of the breeding farm and the environmental quality assessment value of the breeding farm, and further includes: If the farm environmental quality assessment value is greater than or equal to the farm environmental quality assessment threshold, the absolute difference between the farm environmental quality assessment value and the farm environmental quality assessment threshold is marked as the environmental deviation value; The environmental deviation value is matched from the cattle breeding database to obtain the adjusted ventilation volume and the adjusted ventilation frequency, and the initial ventilation strategy is adjusted according to the adjusted ventilation volume and the adjusted ventilation frequency.

8. The real-time monitoring system for cattle breeding farm environment according to claim 7, characterized in that: The initial ventilation strategy is adjusted according to the ventilation volume and the ventilation frequency, and the specific adjustment process is as follows: The initial ventilation volume is subtracted from the adjusted ventilation volume to obtain the updated ventilation volume, the initial ventilation frequency is subtracted from the adjusted ventilation frequency to obtain the updated ventilation frequency, and ventilation operations are performed according to the updated ventilation volume and the updated ventilation frequency.

9. The real-time monitoring system for cattle breeding farm environment according to claim 3, characterized in that: The specific numerical expression of the farm environmental quality assessment value is: ； in, represents the environmental quality assessment value of the farm, represents the farm hygiene quality assessment index, Represents the farm air quality assessment index, It indicates the impact factor of farm environmental quality assessment corresponding to the set farm sanitation quality assessment index. It represents the farm environmental quality assessment influencing factor corresponding to the set farm environmental stability assessment index.

10. The method applied to the real-time monitoring system of the cattle farm environment for cattle breeding according to any one of claims 1 to 9, characterized in that: include: Obtain the breeding condition parameters of the farm, and obtain the initial ventilation strategy according to the breeding condition parameters; Collect and analyze the environmental data of the farm to obtain the environmental quality assessment value of the farm; The initial ventilation strategy is adjusted according to the farm's farming condition parameters and the farm's environmental quality assessment values.

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