Intelligent disinfection system for farm

Abstract

The invention relates to the technical field of farm disinfection, in particular to an intelligent disinfection system for a farm. The system comprises an initial determination module, a periodic disinfection module, an environment monitoring module, a first analysis control module, a second analysis control module and a feedback correction module. According to the method, the initial disinfection parameter cluster of each breeding area in the target breeding farm is determined according to the actual growth stages of the breeding targets and the actual number corresponding to each actual growth stage, each breeding area is periodically disinfected according to the initial disinfection parameter cluster, and each breeding area is monitored in real time so as to be singly judged; and performing first-class adjustment and second-class adjustment on the initial disinfection parameter cluster based on a first verification result and a second verification result in combination with the first verification result and the second verification result to determine whether the initial disinfection parameter cluster is subjected to first-class adjustment and second-class adjustment. And according to the first analysis control result and the second analysis control result, determining whether to perform feedback correction on a preset initial disinfection period of each breeding area.

Description

Technical Field

[0001] The present invention relates to the technical field of farm disinfection, and in particular to an intelligent farm disinfection system. Background Art

[0002] Ammonia produced by pig manure is a harmful gas. High concentrations of ammonia can have adverse effects on the health of pigs, such as respiratory diseases, and can also affect the health of staff. When the ammonia content in the pig house exceeds the standard, cleaning the manure and ventilating the air are very important steps, which can significantly reduce the concentration of ammonia and improve the air quality of the pig house. However, simply cleaning the manure and ventilating the air cannot eliminate all ammonia in a timely and complete manner. Therefore, further disinfection is required to quickly eliminate ammonia to prevent it from affecting the health of pigs or the health of staff. At present, in addition to daily cleaning, ventilation and periodic disinfection, the disinfection technology for farms to ensure the environmental sanitation of farms is only used for disinfection and adjustment of the environmental sanitation in farms. It can only be assessed whether there is an environmental sanitation condition in the farm by collecting feces samples from the breeding area or other samples collected from the ground, walls, feed troughs and other surfaces to achieve targeted disinfection. However, the disinfection process requires manual participation, and the disinfection process is not intelligent and timely enough. Therefore, an intelligent farm disinfection technology is needed to achieve comprehensive, timely and targeted intelligent disinfection.

[0003] Chinese patent application publication number CN104383567A discloses a method for disinfecting an indoor farm, comprising the following steps: a. using a clean water source to rinse the floor of the indoor farm and keep the floor moist; b. spreading a layer of quicklime on the moist floor and keeping it for 2-3 hours; c. sweeping away the quicklime on the floor, rinsing the remaining quicklime on the floor with a clean water source, and air-drying the floor; d. spraying a disinfectant solution in the indoor farm; e. after spraying the disinfectant solution for 0.5-1 hour, closing the doors and windows of the indoor farm, and placing an ozone generator in the indoor farm for ozone sterilization for 1-1.5 hours; f. opening the doors and windows of the indoor farm for ventilation.

[0004] This shows that the current farm disinfection technology has a low level of intelligence and is unable to achieve comprehensive, stable and targeted intelligent disinfection. Summary of the invention

[0005] To this end, the purpose of the present invention is to provide an intelligent disinfection system for a farm, which is used to overcome the problem that the current farm disinfection technology has a low intelligence level and cannot achieve comprehensive, stable and targeted intelligent disinfection.

[0006] To achieve the above object, the present invention provides an intelligent disinfection system for a farm, comprising:

[0007] An initial determination module, which is used to determine the initial disinfection parameter clusters of each breeding area in the target breeding farm according to the actual growth stage of the breeding target and the actual quantity corresponding to each actual growth stage;

[0008] A periodic disinfection module, which is used to perform periodic disinfection on each breeding area according to the initial disinfection parameter cluster;

[0009] An environmental monitoring module, which is used to monitor each breeding area in real time to obtain a real-time monitoring data set and to monitor the overall ammonia concentration in the target breeding farm in real time;

[0010] A first analysis control module, which is used to perform a single determination on each breeding area according to the real-time monitoring data set to obtain a single determination result, and determine whether to perform a primary verification and a secondary verification in sequence according to the single determination result, and determine whether to perform a type of adjustment on the initial disinfection parameter cluster based on the primary verification result combined with the secondary verification result;

[0011] A second analysis control module, which is used to determine whether to perform a second type of adjustment on the initial disinfection parameter cluster according to the single determination result combined with the overall ammonia concentration;

[0012] A feedback correction module, which is used to determine whether to perform feedback correction on the preset initial disinfection cycle of each breeding area according to the first analysis and control result of the first analysis and control module combined with the second analysis and control result of the second analysis and control module;

[0013] Wherein, based on the different actual growth stages of the breeding targets, the target breeding farm is divided into different breeding areas.

[0014] Furthermore, the initial determination module includes: a first determination unit and a second determination unit; for any breeding area,

[0015] The first determination unit is used to determine the regional breeding density according to the actual number of the breeding targets in the breeding area combined with the regional area corresponding to the breeding area, and determine the initial number of disinfection nozzles according to the regional breeding density combined with the coverage range of the disinfection nozzles;

[0016] The second determination unit is used to determine the initial single disinfection amount corresponding to the breeding area according to the area of ​​the area and the actual growth stage;

[0017] Wherein, the initial disinfection parameter cluster includes: the number of the initial disinfection nozzles corresponding to each breeding area and the initial single disinfection volume.

[0018] Further, the first determination unit includes: a first basic determination subunit and a first actual determination subunit;

[0019] The first basic determination subunit is used to determine the number of basic disinfection nozzles according to the coverage range of the disinfection nozzles combined with the area of ​​the region;

[0020] The first actual determination subunit is used to adjust the number of the basic disinfection nozzles according to the breeding density of the area to obtain the initial number of disinfection nozzles.

[0021] Further, the second determination unit includes: a second basic determination subunit and a second actual determination subunit;

[0022] The second basic determination subunit is used to determine the theoretical disinfectant demand according to the area of ​​the region;

[0023] The second actual determination subunit is used to determine a single disinfection time according to the actual growth stage, and adjust the theoretical disinfectant requirement according to the single disinfection time to obtain the initial single disinfection amount.

[0024] Further, the environmental monitoring module includes: a number of image monitoring units, a number of regional wind speed sensing units, a number of regional concentration monitoring units, an overall concentration monitoring unit and a number of wind speed sensing units;

[0025] Each image monitoring unit is set in each breeding area to monitor the regional feces production in the corresponding breeding area in real time;

[0026] Each regional wind speed sensor unit is set at the regional ventilation opening in each breeding area to monitor the regional ventilation conditions in the corresponding breeding area in real time;

[0027] Each regional concentration monitoring unit is set in each breeding area to monitor the regional ammonia concentration in the corresponding breeding area in real time;

[0028] The overall concentration monitoring unit is arranged on the roof of the target breeding farm to monitor the overall ammonia concentration in the target breeding farm in real time;

[0029] The overall wind speed sensing units are evenly arranged on the roof of the target farm to monitor the overall ventilation conditions in the target farm in real time;

[0030] Wherein, the real-time monitoring data set includes: the feces production situation in the area, the ammonia concentration in the area and the ventilation situation in the area.

[0031] Furthermore, the first analysis control module includes: a single determination unit, a primary verification unit, a secondary verification unit and a type of adjustment unit; for any breeding area,

[0032] The single determination unit is used to determine whether the single ammonia content of the breeding area is qualified according to the regional ammonia concentration monitored by the regional concentration monitoring unit set in the breeding area and the preset standard regional concentration;

[0033] The primary verification unit, when the single ammonia content is unqualified, obtains the actual feces coverage area of ​​the breeding area according to the image monitoring unit, and determines whether to start the secondary verification mode according to the actual feces coverage area;

[0034] The secondary verification unit, based on the secondary verification mode, obtains the real-time airflow speed of the breeding area according to the regional wind speed sensing unit, and determines whether to make a type of adjustment to the breeding area according to the real-time airflow speed;

[0035] The first type of adjustment unit is used to adjust the initial number of disinfection nozzles according to the regional ammonia concentration combined with the standard regional concentration to obtain the actual number of disinfection nozzles.

[0036] Further, the second analysis control module includes: an acquisition unit and an overall determination unit;

[0037] The obtaining unit is used to obtain the number of areas in each breeding area with a single qualified ammonia content;

[0038] The overall determination unit is used to determine whether to start the overall verification mode according to the number of areas combined with the total number of areas;

[0039] Among them, based on the fact that the number of areas reaches the total number of areas, it is determined to start the overall verification mode; based on the fact that the number of areas does not reach the total number of areas, it is determined not to start the overall verification mode.

[0040] Furthermore, the second analysis control module further includes: a comparison unit, an overall verification unit and a second type of adjustment unit;

[0041] The comparison unit, based on the overall verification mode, determines whether the overall ammonia content of the target farm is qualified according to the overall ammonia concentration monitored by the overall concentration monitoring unit arranged on the roof of the target farm and the standard area concentration;

[0042] The overall verification unit, based on the unqualified overall ammonia content, obtains the overall airflow velocity at the roof vent of the target farm according to the overall wind speed sensing unit, and determines whether to perform the second type of adjustment on each breeding area according to the overall airflow velocity;

[0043] The second type adjustment unit is used to adjust the initial single disinfection amount according to the overall ammonia concentration combined with the standard area concentration to obtain the actual single disinfection amount.

[0044] Furthermore, the overall verification unit includes: a partition calculation subunit, a mean calculation subunit and a difference calculation subunit,

[0045] The partition calculation subunit divides the roof of the target farm into a number of longitudinal detection areas using vertical lines, and calculates the average airflow velocity of each longitudinal detection area as a unit airflow velocity value;

[0046] The mean value calculation subunit is used to add the airflow velocity values ​​of each unit and divide it by the total number of detection points to obtain the overall airflow velocity of the target farm;

[0047] The difference calculation subunit is used to subtract the overall airflow velocity from the airflow velocity value of each unit to obtain a number of flow velocity differences, take the absolute value of each flow velocity difference, obtain the maximum value among the absolute values ​​as the maximum overall deviation value, and determine whether the overall ammonia content is qualified based on the maximum overall deviation value.

[0048] Furthermore, the feedback correction module includes: a recording unit, a primary correction unit and a secondary correction unit; for any breeding area,

[0049] The recording unit is used to obtain the number of times the first type of adjustment is performed on the breeding area within the corresponding initial disinfection cycle and the number of times the second type of adjustment is performed on the breeding area;

[0050] The primary correction unit is used to correct the initial disinfection cycle according to the first type of number to obtain an actual disinfection cycle;

[0051] The secondary correction unit is used to perform secondary correction on the actual disinfection cycle according to the second type of times to obtain a final disinfection cycle.

[0052] Compared with the prior art, the beneficial effect of the present invention lies in that, by determining the initial disinfection parameter cluster of each breeding area according to the actual growth stage of the pig (piglet stage, growth stage, mature stage), personalized disinfection management for pigs at different growth stages is realized, and the disinfection efficiency and effect are improved. Regional breeding and corresponding disinfection strategies help to reduce cross-contamination between pigs at different growth stages, thereby reducing the risk of disease transmission. Real-time monitoring and analysis and control of the first and second analysis and control modules enable the disinfection strategy to be dynamically adjusted according to real-time data, ensuring the continuous hygiene of the breeding environment. By effectively controlling the ammonia concentration, the occurrence of respiratory diseases in pigs is reduced. At the same time, the health of the staff is protected and occupational health problems caused by ammonia are reduced. The disinfection cycle can be adjusted according to actual needs, realizing an intelligent disinfection decision-making process, and improving the automation level of breeding management. Through precise disinfection management and environmental control, the occurrence of diseases is reduced, thereby reducing treatment costs and mortality rates, and improving the overall efficiency of breeding. A comprehensive, efficient and intelligent environmental sanitation management system is provided for the farm, and the environmental sanitation level of the farm is improved.

[0053] The initial number of disinfection nozzles in each breeding area is accurately determined by the breeding density and the area of ​​the area, ensuring that the disinfectant can evenly cover the entire area and improving the disinfection effect. The initial single disinfection amount is determined according to the area of ​​the breeding area and the actual growth stage of the breeding target, ensuring the personalization and rationality of the disinfectant dosage and avoiding excessive or insufficient use of disinfectants. By accurately configuring the disinfection nozzles and the amount of disinfectant, the waste of resources is reduced, the disinfection efficiency is improved, and the hygiene of the breeding environment is ensured. The single disinfection time is adjusted according to the tolerance of pigs at different growth stages to disinfectants, which can effectively kill pathogens and avoid unnecessary stimulation to animals, thereby ensuring the health of animals. By scientifically calculating the demand for disinfectants, unnecessary disinfectant consumption is reduced, the operating cost of the farm is reduced, the automation and intelligence of the disinfection management of the farm is realized, and the management level and overall operating efficiency of the farm are improved. The disinfection parameters can be flexibly adjusted according to different breeding goals and growth stages. It has strong adaptability and is suitable for a variety of breeding scenarios. By configuring independent disinfection parameters for each breeding area, the risk of cross-contamination between different areas is reduced, the ammonia concentration and harmful gases in feces are effectively controlled, the working environment of the staff is improved, and the occupational health risks are reduced.

[0054] By analyzing the characteristics of breeding targets at different growth stages, combined with regional breeding density and excrement production, appropriate disinfection cycles are set for each breeding area, thereby improving the pertinence and effectiveness of disinfection. Short disinfection cycles in high-risk areas or high-density breeding areas help to control the spread of pathogens in a timely manner, while longer disinfection cycles in low-risk areas avoid excessive disinfection, achieving effective management of pathogen transmission risks. Disinfection cycles are adjusted according to the different growth stages of animals, reducing unnecessary disinfection operations. Real-time data collection and analysis enable farms to understand the environmental conditions of the breeding area in a timely manner and dynamically adjust disinfection strategies according to actual conditions. The automated judgment and verification process improves the level of intelligent farm management and reduces manual work. The use of equipment such as intervention, image monitoring units and wind speed sensor units has improved the accuracy and efficiency of data collection, reduced the workload of manual monitoring, and taken timely measures through real-time monitoring of ammonia concentration and ventilation conditions to ensure the air quality in the farm, which is beneficial to animal health and staff safety. It can accurately locate the cause of excessive ammonia concentration, whether it is failure to clean up feces in time or poor ventilation, so as to take corresponding adjustment measures. Through precise disinfection cycle setting, real-time environmental monitoring and intelligent analysis and control, it provides a farm with an efficient, environmentally friendly and economical disinfection and environmental management solution, which not only improves the sanitation level of the breeding environment, but also promotes the sustainable development of the breeding industry, while ensuring the health of animals and staff.

[0055] The number of disinfection nozzles is adjusted in real time according to the ammonia concentration to ensure effective coverage and uniform distribution of the disinfectant and improve the disinfection efficiency. The single disinfection volume is adjusted according to the overall ammonia concentration to avoid waste of disinfectant and ensure the disinfection effect. The overall verification mode can comprehensively evaluate the overall ammonia concentration of the farm to ensure the environmental quality of the entire farm. The overall airflow velocity can be accurately monitored and calculated through the partition calculation subunit, the mean calculation subunit and the difference calculation subunit, so as to more accurately evaluate the ventilation situation and determine the uniformity of the airflow distribution, which is helpful to optimize the ventilation system and improve the air quality of the farm. The automated process of the second analysis and control module reduces manual intervention and improves management efficiency and intelligence. Through the dynamic adjustment of the first and second adjustment units, the comprehensive evaluation of the overall verification mode and the precise environmental monitoring, an efficient and environmentally friendly intelligent disinfection system is provided for the farm, which improves the hygiene level of the breeding environment.

[0056] Through the cooperation of the recording unit and the correction unit, the disinfection cycle can be intelligently corrected according to the actual number of adjustments, which improves the flexibility and adaptability of management. The dynamic adjustment of the primary correction unit and the secondary correction unit ensures that the disinfection cycle matches the actual hygiene needs, thereby improving the disinfection efficiency. By accurately adjusting the disinfection cycle, excessive or unnecessary disinfection is avoided. Further adjustment of the secondary correction unit ensures that when environmental problems are more serious, environmental hygiene conditions can be controlled through more frequent disinfection. By effectively controlling pathogens in the breeding environment, the occurrence of animal diseases is reduced and the overall health level of animals is improved. Regular and effective disinfection reduces the risk of staff contact with pathogens and ensures the health and safety of staff. The automated recording and correction process simplifies management work, optimizes work processes, and reduces human errors. The data provided by the recording unit supports decisions based on actual operating conditions, making disinfection management more scientific and reasonable. Through continuous feedback and correction, farms can establish a sustainable disinfection process to adapt to changing environmental hygiene needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 This is a schematic diagram of the structure of an intelligent disinfection system for a farm according to an embodiment of the present invention;

[0058] Figure 2 This is a structural diagram of an initial determination module in the intelligent disinfection system for farms according to an embodiment of the present invention;

[0059] Figure 3 This is a structural diagram of the first analysis and control module in the intelligent disinfection system for farms according to an embodiment of the present invention;

[0060] Figure 4 It is a structural schematic diagram of the second analysis and control module in the intelligent disinfection system for farms according to an embodiment of the present invention. DETAILED DESCRIPTION

[0061] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0062] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0063] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0064] See also Figure 1-Figure 4 As shown, Figure 1 This is a schematic diagram of the structure of an intelligent disinfection system for a farm according to an embodiment of the present invention; Figure 2 This is a structural diagram of an initial determination module in the intelligent disinfection system for farms according to an embodiment of the present invention;

[0065] Figure 3 This is a structural diagram of the first analysis and control module in the intelligent disinfection system for farms according to an embodiment of the present invention;

[0066] Figure 4 It is a structural schematic diagram of the second analysis and control module in the intelligent disinfection system for farms according to an embodiment of the present invention.

[0067] The present invention provides an intelligent disinfection system for a farm, comprising:

[0068] An initial determination module, which is used to determine the initial disinfection parameter clusters of each breeding area in the target breeding farm according to the actual growth stage of the breeding target and the actual quantity corresponding to each actual growth stage;

[0069] A periodic disinfection module, which is used to perform periodic disinfection on each breeding area according to the initial disinfection parameter cluster;

[0070] An environmental monitoring module, which is used to monitor each breeding area in real time to obtain a real-time monitoring data set and to monitor the overall ammonia concentration in the target breeding farm in real time;

[0071] A first analysis control module, which is used to perform a single determination on each breeding area according to the real-time monitoring data set to obtain a single determination result, and determine whether to perform a primary verification and a secondary verification in sequence according to the single determination result, and determine whether to perform a type of adjustment on the initial disinfection parameter cluster based on the primary verification result combined with the secondary verification result;

[0072] A second analysis control module, which is used to determine whether to perform a second type of adjustment on the initial disinfection parameter cluster according to the single determination result combined with the overall ammonia concentration;

[0073] A feedback correction module, which is used to determine whether to perform feedback correction on the preset initial disinfection cycle of each breeding area according to the first analysis and control result of the first analysis and control module combined with the second analysis and control result of the second analysis and control module;

[0074] Wherein, based on the different actual growth stages of the breeding targets, the target breeding farm is divided into different breeding areas.

[0075] In this embodiment, the breeding target is pigs, and the corresponding actual growth stage is determined according to the birth time and actual weight of the pigs, including:

[0076] Piglet period: starts from birth and lasts for 21 to 28 days;

[0077] Growth period: starts when the piglets are 3 to 4 weeks old and continues until they reach market weight, which is usually when the pigs reach 100 kg;

[0078] Maturity: For breeding pigs, maturity refers to the stage when they reach sexual maturity and begin to be used for breeding, usually between 6 months and 1 year old;

[0079] In the specific implementation process, a staged breeding method is adopted according to the actual growth stage of the pigs. Pigs at different actual growth stages are raised in different breeding areas to achieve better management. Pigs are raised in different areas according to their actual growth stages, and the initial disinfection parameter cluster corresponding to each breeding area is determined, so that pigs at different actual growth stages can be disinfected in a targeted manner, and disinfection activities in different areas are ensured to be carried out separately to reduce the risk of cross contamination.

[0080] Ammonia produced by pig manure is a harmful gas. High concentrations of ammonia can have adverse effects on the health of pigs, such as respiratory diseases, and can also affect the health of staff. When the ammonia content in the pig house exceeds the standard, cleaning the manure and air circulation are very important steps, which can significantly reduce the concentration of ammonia and improve the air quality of the pig house. However, simply cleaning the manure, air circulation and periodic disinfection cannot eliminate all ammonia in time. Therefore, it is necessary to further monitor the disinfection process in real time and adjust the disinfection strategy in real time to achieve comprehensive, timely and targeted intelligent disinfection to ensure the environmental sanitation of the farm.

[0081] Specifically, the embodiment of the present invention determines the initial disinfection parameter cluster of each breeding area according to the actual growth stage of the pig (piglet stage, growth stage, and mature stage), thereby realizing personalized disinfection management for pigs at different growth stages and improving disinfection efficiency and effect. Regional breeding and corresponding disinfection strategies help to reduce cross-contamination between pigs at different growth stages, thereby reducing the risk of disease transmission. Real-time monitoring and analysis and control of the first and second analysis and control modules enable the disinfection strategy to be dynamically adjusted according to real-time data, ensuring the continuous hygiene of the breeding environment. By effectively controlling the ammonia concentration, the occurrence of respiratory diseases in pigs is reduced. At the same time, the health of the staff is protected and occupational health problems caused by ammonia are reduced. The disinfection cycle can be adjusted according to actual needs, realizing an intelligent disinfection decision-making process and improving the automation level of breeding management. Through precise disinfection management and environmental control, the occurrence of diseases is reduced, thereby reducing treatment costs and mortality rates, and improving the overall efficiency of breeding. A comprehensive, efficient, and intelligent environmental sanitation management system is provided for the farm, which improves the environmental sanitation level of the farm.

[0082] Specifically, the initial determination module in this embodiment includes: a first determination unit and a second determination unit; for any breeding area,

[0083] The first determination unit is used to determine the regional breeding density according to the actual number of the breeding targets in the breeding area combined with the regional area corresponding to the breeding area, and determine the initial number of disinfection nozzles according to the regional breeding density combined with the coverage range of the disinfection nozzles;

[0084] The second determination unit is used to determine the initial single disinfection amount corresponding to the breeding area according to the area of ​​the area and the actual growth stage;

[0085] Wherein, the initial disinfection parameter cluster includes: the number of the initial disinfection nozzles corresponding to each breeding area and the initial single disinfection volume.

[0086] Specifically, in this embodiment, the first determining unit includes: a first basic determining subunit and a first actual determining subunit;

[0087] The first basic determination subunit is used to determine the number of basic disinfection nozzles according to the coverage range of the disinfection nozzles combined with the area of ​​the region;

[0088] The first actual determination subunit is used to adjust the number of the basic disinfection nozzles according to the breeding density of the area to obtain the initial number of disinfection nozzles.

[0089] In the specific implementation process, the coverage range of the disinfection nozzle is used to measure the area that each disinfection nozzle can cover. According to the area of ​​the area divided by the coverage area of ​​a single nozzle, that is, the coverage range of the disinfection nozzle, the preliminary number of nozzles, that is, the number of basic disinfection nozzles, is obtained, and the number of basic disinfection nozzles is adjusted according to the regional breeding density. The specific adjustment process is that the regional breeding density is proportional to the initial number of disinfection nozzles. The higher the regional breeding density, the more disinfection nozzles are needed to ensure comprehensive coverage;

[0090] In this embodiment, the target breeding farm is divided into various breeding areas according to the actual growth stages, and the areas are the same, that is, the target breeding farm is equally divided.

[0091] Specifically, in this embodiment, the second determination unit includes: a second basic determination subunit and a second actual determination subunit;

[0092] The second basic determination subunit is used to determine the theoretical disinfectant demand according to the area of ​​the region;

[0093] The second actual determination subunit is used to determine a single disinfection time according to the actual growth stage, and adjust the theoretical disinfectant requirement according to the single disinfection time to obtain the initial single disinfection amount.

[0094] In the specific implementation process, the area of ​​the breeding area that needs to be disinfected (in square meters) is obtained, and the recommended disinfectant concentration is determined according to the type of breeding target to calculate the theoretical disinfectant demand:

[0095] Theoretical disinfectant demand (liter) = area (square meters) × disinfectant concentration (liters / square meter). For example, assuming that the area of ​​a breeding area is 100 square meters and the recommended disinfectant concentration is 0.1 liters / square meter, the theoretical disinfectant demand is 100 square meters × 0.1 liters / square meter = 10 liters; the single disinfection time is determined according to the actual growth stage of the breeding target, and the theoretical disinfectant demand is adjusted to obtain the initial single disinfection amount, wherein the initial single disinfection amount is proportional to the single disinfection time, and the single disinfection time is used to measure the tolerance of breeding targets at different growth stages to disinfectants. Due to different growth stages, the demand for disinfectants is different. For example, piglets need more frequent disinfection because they are more susceptible to pathogens, but the single disinfection time The disinfection time should be relatively short. Growing pigs need a longer disinfection time because they have a larger range of activities and more opportunities to contact pathogens. Mature pigs are larger in size and need more disinfectants to cover their body surface and activity area. Therefore, the single disinfection time should be longer. In this embodiment, it is assumed that the single disinfection time for young pigs is 5 minutes, 10 minutes for growing pigs, and 15 minutes for mature pigs. In this embodiment, for the disinfection of ammonia in feces, acidic disinfectants such as peracetic acid are used to neutralize ammonia in the air and reduce its concentration, or biological deodorizing and ammonia eliminating agents such as "fast deodorizing and ammonia eliminating agents for farms" are used, which can quickly decompose ammonia and other harmful gases, or strong oxidizing disinfectants such as hydrogen peroxide or ozone. There is no specific limitation on the type of disinfectant, only the disinfection effect needs to be ensured and the health of the animals needs to be protected.

[0096] Specifically, the embodiment of the present invention accurately determines the number of initial disinfection nozzles in each breeding area through breeding density and regional area, ensures that the disinfectant can evenly cover the entire area, improves the disinfection effect, determines the initial single disinfection amount according to the breeding area area and the actual growth stage of the breeding target, ensures the personalization and rationality of the disinfectant dosage, avoids excessive or insufficient use of disinfectants, reduces resource waste, improves disinfection efficiency, ensures the sanitation of the breeding environment, adjusts the single disinfection time according to the tolerance of pigs at different growth stages to disinfectants, can effectively kill pathogens, and avoid unnecessary stimulation to animals, thereby ensuring the health of animals, scientifically calculates the disinfectant demand, reduces unnecessary disinfectant consumption, reduces the operating cost of the farm, realizes the automation and intelligence of the disinfection management of the farm, improves the management level and overall operation efficiency of the farm, can flexibly adjust the disinfection parameters according to different breeding goals and growth stages, has strong adaptability, and is suitable for a variety of breeding scenarios, and reduces the risk of cross-contamination between different areas by independently configuring disinfection parameters for each breeding area, effectively controls ammonia concentration and harmful gases in feces, improves the working environment of staff, and reduces occupational health risks.

[0097] Specifically, the specific setting process of determining the disinfection cycle of each breeding area in this embodiment is to analyze the growth stage characteristics of the breeding targets, that is, the sensitivity and transmission ability of the breeding targets at different growth stages (such as piglet stage, growth stage, and mature stage) to pathogens, and evaluate the risk of pathogen transmission in combination with the regional breeding density and excrement production at each growth stage, so as to set a preliminary disinfection cycle for each breeding area, determine the shortest disinfection cycle, which is usually used in high-risk areas or high-density breeding areas, and determine the longest disinfection cycle, which is usually used in low-risk areas or low-density breeding areas. For areas with intermediate risk levels, a disinfection cycle between the shortest and longest cycles is set. For example: more frequent disinfection is required in the piglet stage because piglets have lower immunity and are susceptible to pathogen infection. Animals in the growth and mature stages may have stronger resistance to pathogens, and the disinfection cycle can be appropriately extended. High-density breeding areas are more likely to spread diseases, so shorter disinfection cycles are required. Low-density breeding areas have lower transmission risks, and the disinfection cycle can be extended.

[0098] In this embodiment, the piglet area: due to the low immunity of piglets, the disinfection cycle is set to once a week, the growing pig area: the disinfection cycle is set to once every two weeks, the mature pig area: the disinfection cycle is set to once a month. During the specific implementation process, each disinfection cycle is adaptively adjusted according to the actual breeding conditions.

[0099] Specifically, in this embodiment, the environmental monitoring module includes: a number of image monitoring units, a number of regional wind speed sensing units, a number of regional concentration monitoring units, an overall concentration monitoring unit and a number of wind speed sensing units;

[0100] Each image monitoring unit is set in each breeding area to monitor the regional feces production in the corresponding breeding area in real time;

[0101] Each regional wind speed sensor unit is set at the regional ventilation opening in each breeding area to monitor the regional ventilation conditions in the corresponding breeding area in real time;

[0102] Each regional concentration monitoring unit is set in each breeding area to monitor the regional ammonia concentration in the corresponding breeding area in real time;

[0103] The overall concentration monitoring unit is arranged on the roof of the target breeding farm to monitor the overall ammonia concentration in the target breeding farm in real time;

[0104] The overall wind speed sensing units are evenly arranged on the roof of the target farm to monitor the overall ventilation conditions in the target farm in real time;

[0105] Wherein, the real-time monitoring data set includes: the feces production situation in the area, the ammonia concentration in the area and the ventilation situation in the area.

[0106] In this embodiment, the image monitoring unit is a Hikvision wide-angle camera, which is located above the breeding area, 1.2 meters from the ground. The camera is tilted 45° downward in the horizontal direction. Operations such as rotation, image brightness adjustment, and mirror flipping are performed in advance to ensure the clarity of the collected images.

[0107] The target breeding farm is a closed breeding farm with a roof, and each breeding area is provided with a regional ventilator, and a roof vent is provided above the roof.

[0108] Specifically, in this embodiment, the first analysis control module includes: a single determination unit, a primary verification unit and a secondary verification unit; for any breeding area,

[0109] The single determination unit is used to determine whether the single ammonia content of the breeding area is qualified according to the regional ammonia concentration monitored by the regional concentration monitoring unit set in the breeding area and the preset standard regional concentration;

[0110] The primary verification unit, when the single ammonia content is unqualified, obtains the actual feces coverage area of ​​the breeding area according to the image monitoring unit, and determines whether to start the secondary verification mode according to the actual feces coverage area;

[0111] The secondary verification unit, based on the secondary verification mode, obtains the real-time air flow speed of the breeding area according to the regional wind speed sensor unit, and determines whether to make a type of adjustment to the breeding area according to the real-time air flow speed.

[0112] Specifically, based on the regional ammonia concentration being greater than or equal to the standard regional concentration, the single ammonia content of the breeding area is determined to be unqualified; based on the regional ammonia concentration being less than the standard regional concentration, the single ammonia content of the breeding area is determined to be qualified; in this embodiment, the set standard regional concentration represents the prescribed ammonia concentration suitable for the survival and health of pigs, generally, it is set between 20μ / L-50μ / L, when the regional ammonia concentration is less than the standard regional concentration, the health of the pigs will not be negatively affected by ammonia, if the regional ammonia concentration exceeds the standard regional concentration, it may cause breathing difficulties, loss of appetite and other problems in the pigs, and in severe cases may even cause disease transmission and high mortality;

[0113] The image monitoring unit is used to continuously monitor the breeding area to obtain the distribution of feces in the breeding area. The image data monitored is analyzed through image processing technology to calculate the actual feces coverage area, and the calculated actual feces coverage area is compared with the preset feces coverage area threshold, wherein the feces coverage threshold is set according to the size of the breeding area and the standard area concentration corresponding to the breeding area. If the actual feces coverage area exceeds the preset feces coverage area threshold, a cleaning signal is issued, and the breeding area is cleaned in time according to the cleaning signal. If the actual feces coverage area does not exceed the preset feces coverage area threshold, the secondary verification mode is turned on, that is, it is determined that the excessive ammonia concentration at this time is not caused by failure to clean feces in time, and then the feces coverage threshold is checked. A secondary verification is performed to further determine the cause of the exceeding of the standard, so as to determine whether to adjust the disinfection parameters; the regional wind speed sensing unit monitors the real-time air flow speed of the breeding area in real time, and compares the real-time monitored air flow speed data with the preset ventilation standard. The specific comparison process is to obtain the maximum flow speed deviation value, and determine the maximum flow speed deviation value according to the standard flow speed deviation value. When the maximum flow speed deviation value is greater than the standard flow speed deviation value, it is determined that the air flow distribution in the breeding area is uneven, that is, the ventilation condition in the breeding area is unqualified. When the maximum flow speed deviation value is less than or equal to the standard flow speed deviation value, it is determined that the air flow distribution in the breeding area is uniform, that is, it is determined that the ammonia concentration exceeds the standard at this time and is not caused by unqualified ventilation, so as to determine to make a type of adjustment to the initial disinfection parameter cluster;

[0114] The standard flow rate deviation value set in this embodiment represents the error value between the allowable real-time airflow velocity and the standard flow rate. Generally, the standard flow rate deviation value is set between 3% and 8% of the standard flow rate. The standard flow rate is set between 0.1m / s and 0.8m / s, and is adjusted according to the actual climate adaptation selection. For example, in high temperature weather in summer, the standard flow rate setting value is correspondingly larger. The maximum flow rate deviation value represents the maximum deviation value between the real-time airflow velocity and the standard flow velocity in each breeding area.

[0115] Specifically, the embodiment of the present invention analyzes the characteristics of breeding targets at different growth stages, combines regional breeding density and excrement production, and sets a suitable disinfection cycle for each breeding area, thereby improving the pertinence and effectiveness of disinfection. The short disinfection cycle in high-risk areas or high-density breeding areas helps to timely control the spread of pathogens, while the longer disinfection cycle in low-risk areas avoids excessive disinfection, thereby achieving effective management of pathogen transmission risks. The disinfection cycle is adjusted according to the different growth stages of animals, reducing unnecessary disinfection operations. Real-time data collection and analysis enable farms to timely understand the environmental conditions of the breeding area and dynamically adjust the disinfection strategy according to actual conditions. The automated judgment and verification process improves the level of intelligent farm management. , reducing manual intervention, the use of equipment such as image monitoring units and wind speed sensor units, improving the accuracy and efficiency of data collection, reducing the workload of manual monitoring, and taking timely measures through real-time monitoring of ammonia concentration and ventilation conditions to ensure the air quality in the farm, which is beneficial to animal health and staff safety. It can accurately locate the cause of excessive ammonia concentration, whether it is failure to clean up feces in time or poor ventilation, so as to take corresponding adjustment measures. Through precise disinfection cycle setting, real-time environmental monitoring and intelligent analysis and control, it provides a farm with an efficient, environmentally friendly and economical disinfection and environmental management solution, which not only improves the sanitation level of the breeding environment, but also promotes the sustainable development of the breeding industry, while ensuring the health of animals and staff.

[0116] Specifically, in this embodiment, the first analysis control module further includes: a type of adjustment unit;

[0117] The first type of adjustment unit is used to adjust the initial number of disinfection nozzles according to the regional ammonia concentration combined with the standard regional concentration to obtain the actual number of disinfection nozzles;

[0118] In the process of determining the actual disinfection nozzles by comparing the regional ammonia concentration with the standard regional concentration, if the standard regional concentration is set to 20μ / L, the monitored regional ammonia concentration is 30μ / L, and the initial number of disinfection nozzles X0 is determined to be 6, then the actual number of disinfection nozzles X1 is,

[0119] X1=X0×[1+(30-20) / 20]=9.

[0120] Specifically, in this embodiment, the second analysis control module includes: an acquisition unit and an overall determination unit;

[0121] The obtaining unit is used to obtain the number of areas in each breeding area with a single qualified ammonia content;

[0122] The overall determination unit is used to determine whether to start the overall verification mode according to the number of areas combined with the total number of areas;

[0123] Among them, based on the fact that the number of areas reaches the total number of areas, it is determined to start the overall verification mode; based on the fact that the number of areas does not reach the total number of areas, it is determined not to start the overall verification mode.

[0124] In this embodiment, the number of areas with qualified ammonia concentration in each breeding area is determined. If the ammonia concentration in each breeding area is qualified, it does not mean that the ammonia concentration in the entire target breeding farm is qualified. Therefore, the overall verification mode should be turned on to determine whether the overall ammonia concentration in the target breeding farm is qualified.

[0125] Specifically, in this embodiment, the second analysis control module further includes: a comparison unit and an overall verification unit;

[0126] The comparison unit, based on the overall verification mode, determines whether the overall ammonia content of the target farm is qualified according to the overall ammonia concentration monitored by the overall concentration monitoring unit arranged on the roof of the target farm and the standard area concentration;

[0127] The overall verification unit, based on the unqualified overall ammonia content, obtains the overall airflow velocity at the roof vent of the target farm according to the overall wind speed sensor unit, and determines whether to make the second type of adjustment to each breeding area according to the overall airflow velocity.

[0128] Specifically, the overall verification unit includes a partition calculation subunit, a mean calculation subunit and a difference calculation subunit, wherein:

[0129] The partition calculation subunit divides the roof of the target farm into a number of longitudinal detection areas using vertical lines, and calculates the average airflow velocity of each longitudinal detection area as a unit airflow velocity value;

[0130] The mean value calculation subunit is used to add the airflow velocity values ​​of each unit and divide it by the total number of detection points to obtain the overall airflow velocity of the target farm;

[0131] The difference calculation subunit is used to subtract the overall airflow velocity from the airflow velocity value of each unit to obtain a number of flow velocity differences, take the absolute value of each flow velocity difference, obtain the maximum value among the absolute values ​​as the maximum overall deviation value, and determine whether the overall ammonia content is qualified based on the maximum overall deviation value.

[0132] The specific comparison process is to determine the maximum overall deviation value according to the standard flow rate deviation value. When the maximum overall deviation value is greater than the standard flow rate deviation value, it is determined that the airflow distribution in the target farm is uneven, that is, the ventilation condition in the target farm is unqualified. When the maximum overall deviation value is less than or equal to the standard flow rate deviation value, it is determined that the airflow distribution in the target farm is uniform, that is, it is determined that the overall ammonia concentration exceeds the standard at this time and is not caused by unqualified ventilation, thereby determining to make two types of adjustments to each initial disinfection parameter cluster;

[0133] The target farm is divided into several longitudinal detection areas, that is, the target farm is simulated and partitioned, and the corresponding airflow velocity monitored by each overall wind speed sensor unit set in each longitudinal detection area is obtained, so as to calculate the average airflow velocity of each area as the simulated airflow velocity of each longitudinal detection area, and calculate the average value of each simulated airflow velocity as the overall airflow velocity. By comparing the overall airflow velocity with the simulated airflow velocity, the airflow velocity difference is calculated, and the largest airflow velocity difference is selected as the maximum overall deviation value to ensure the accuracy of the calculation.

[0134] Specifically, in this embodiment, the second analysis control module further includes: a second type of adjustment unit;

[0135] The second type adjustment unit is used to adjust the initial single disinfection amount according to the overall ammonia concentration combined with the standard area concentration to obtain an actual single disinfection amount;

[0136] In the process of determining the actual single disinfection volume by the overall ammonia concentration and the standard area concentration, if the standard area concentration is set to 20μ / L, the monitored overall ammonia concentration is 25μ / L, and the initial single disinfection volume Q0 is determined to be 15 liters, then the actual single disinfection volume Q1 is,

[0137] Q1=Q0×[1+(25-20) / 20]=18.75.

[0138] Specifically, the embodiment of the present invention adjusts the number of disinfection nozzles in real time according to the ammonia concentration, thereby ensuring effective coverage and uniform distribution of the disinfectant and improving the disinfection efficiency. The single disinfection amount is adjusted according to the overall ammonia concentration to avoid waste of disinfectant and ensure the disinfection effect. Through the overall verification mode, the overall ammonia concentration of the farm can be comprehensively evaluated to ensure the environmental quality of the entire farm. Through the partition calculation subunit, the mean calculation subunit and the difference calculation subunit, the overall airflow velocity can be accurately monitored and calculated, so as to more accurately evaluate the ventilation condition and determine the uniformity of the airflow distribution, which is helpful to optimize the ventilation system and improve the air quality of the farm. The automated process of the second analysis and control module reduces manual intervention, improves management efficiency and intelligence level, and provides a high-efficiency, environmentally friendly and intelligent disinfection system for the farm through dynamic adjustment of the first and second adjustment units, comprehensive evaluation of the overall verification mode and precise environmental monitoring, thereby improving the hygiene level of the breeding environment.

[0139] Specifically, the feedback correction module in this embodiment includes: a recording unit, a primary correction unit and a secondary correction unit; for any breeding area,

[0140] The recording unit is used to obtain the number of times the first type of adjustment is performed on the breeding area within the corresponding initial disinfection cycle and the number of times the second type of adjustment is performed on the breeding area;

[0141] The primary correction unit is used to correct the initial disinfection cycle according to the first type of number to obtain an actual disinfection cycle;

[0142] The secondary correction unit is used to perform secondary correction on the actual disinfection cycle according to the second type of times to obtain a final disinfection cycle.

[0143] In the specific implementation process, the recording unit will track and record the number of times a type of adjustment is made in each breeding area within the initial disinfection cycle, that is, the type of number, and compare the recorded type of number with the preset type of adjustment threshold. The type of adjustment threshold is set based on the environmental sanitation standards and disinfection effect requirements of the breeding area. If the type of number is lower than the type of adjustment threshold, it is considered that the current initial disinfection cycle is valid and no correction is required. If the type of number exceeds the type of adjustment threshold, it is considered that the disinfection cycle needs to be adjusted to improve the disinfection effect. The correction unit shortens the initial disinfection cycle according to the specific situation of the type of number to increase the disinfection frequency. The specific correction process is to shorten the disinfection cycle by a certain proportion or a fixed time period. For example, if the type of number exceeds the type of adjustment threshold, the correction unit will The disinfection cycle is shortened by 10% or reduced by 1 day; the recording unit also records the number of Class II adjustments made in each breeding area within the initial disinfection cycle, that is, the Class II number, and compares the Class II number with the preset Class II adjustment threshold. If the Class II number is lower than the Class II adjustment threshold, it is considered that the actual disinfection cycle is sufficient and no secondary correction is required. If the Class II number exceeds the Class II adjustment threshold, it is considered that the disinfection cycle needs to be further adjusted. The secondary correction unit will further adjust the actual disinfection cycle according to the specific circumstances of the Class II number. The degree of Class II correction is higher than that of Class I correction, because Class II adjustment means environmental sanitation problems of the overall environment. For example, if the Class II number exceeds the Class II adjustment threshold, the secondary correction unit may shorten the disinfection cycle by 20% or reduce it by 2 days to ensure that the environmental sanitation conditions of the pig house are effectively controlled.

[0144] Specifically, the embodiment of the present invention can intelligently correct the disinfection cycle according to the actual number of adjustments through the cooperation of the recording unit and the correction unit, thereby improving the flexibility and adaptability of management. The dynamic adjustment of the primary correction unit and the secondary correction unit ensures that the disinfection cycle matches the actual hygiene needs, thereby improving the disinfection efficiency. By accurately adjusting the disinfection cycle, excessive or unnecessary disinfection is avoided. Further adjustment of the secondary correction unit ensures that when environmental problems are more serious, environmental hygiene conditions can be controlled through more frequent disinfection. By effectively controlling pathogens in the breeding environment, the occurrence of animal diseases is reduced and the overall health level of animals is improved. Regular and effective disinfection reduces the risk of staff contact with pathogens and ensures the health and safety of staff. The automated recording and correction process simplifies management work, optimizes the workflow, and reduces human errors. The data provided by the recording unit supports decisions based on actual operating conditions, making disinfection management more scientific and reasonable. Through continuous feedback and correction, the farm can establish a sustainable disinfection process to adapt to changing environmental hygiene needs.

[0145] The calculation compensation parameters and the calculation adjustment parameters described in the present invention have two functions: one is to balance the left and right dimensions of the formula, and the other is to adjust the numerical results. No specific assignment is performed in this embodiment. In addition, the calculation formulas in this embodiment are used to intuitively reflect the adjustment relationship between the numerical values, such as positive correlation and negative correlation. Unless otherwise specified, the parameter values ​​that are not specifically limited to numerical values ​​are all positive.

[0146] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0147] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent disinfection system for a farm, characterized in that: include: An initial determination module, which is used to determine the initial disinfection parameter clusters of each breeding area in the target breeding farm according to the actual growth stage of the breeding target and the actual quantity corresponding to each actual growth stage; A periodic disinfection module, which is used to perform periodic disinfection on each breeding area according to the initial disinfection parameter cluster; An environmental monitoring module, which is used to monitor each breeding area in real time to obtain a real-time monitoring data set and to monitor the overall ammonia concentration in the target breeding farm in real time; A first analysis control module, which is used to perform a single determination on each breeding area according to the real-time monitoring data set to obtain a single determination result, and determine whether to perform a primary verification and a secondary verification in sequence according to the single determination result, and determine whether to perform a type of adjustment on the initial disinfection parameter cluster based on the primary verification result combined with the secondary verification result; A second analysis control module, which is used to determine whether to perform a second type of adjustment on the initial disinfection parameter cluster according to the single determination result combined with the overall ammonia concentration; A feedback correction module, which is used to determine whether to perform feedback correction on the preset initial disinfection cycle of each breeding area according to the first analysis and control result of the first analysis and control module combined with the second analysis and control result of the second analysis and control module; Wherein, based on the different actual growth stages of the breeding targets, the target breeding farm is divided into different breeding areas.

2. The intelligent disinfection system for farms according to claim 1, characterized in that: The initial determination module includes: a first determination unit and a second determination unit; for any breeding area, The first determination unit is used to determine the regional breeding density according to the actual number of the breeding targets in the breeding area combined with the regional area corresponding to the breeding area, and determine the initial number of disinfection nozzles according to the regional breeding density combined with the coverage range of the disinfection nozzles; The second determination unit is used to determine the initial single disinfection amount corresponding to the breeding area according to the area of ​​the area and the actual growth stage; Wherein, the initial disinfection parameter cluster includes: the number of the initial disinfection nozzles corresponding to each breeding area and the initial single disinfection volume.

3. The intelligent disinfection system for farms according to claim 2 is characterized in that: The first determination unit includes: a first basic determination subunit and a first actual determination subunit; The first basic determination subunit is used to determine the number of basic disinfection nozzles according to the coverage range of the disinfection nozzles combined with the area of ​​the region; The first actual determination subunit is used to adjust the number of the basic disinfection nozzles according to the breeding density of the area to obtain the initial number of disinfection nozzles.

4. The intelligent disinfection system for farms according to claim 3 is characterized in that: The second determination unit includes: a second basic determination subunit and a second actual determination subunit; The second basic determination subunit is used to determine the theoretical disinfectant demand according to the area of ​​the region; The second actual determination subunit is used to determine a single disinfection time according to the actual growth stage, and adjust the theoretical disinfectant requirement according to the single disinfection time to obtain the initial single disinfection amount.

5. The intelligent disinfection system for farms according to claim 4 is characterized in that: The environmental monitoring module includes: a number of image monitoring units, a number of regional wind speed sensing units, a number of regional concentration monitoring units, an overall concentration monitoring unit and a number of wind speed sensing units; Each image monitoring unit is set in each breeding area to monitor the regional feces production in the corresponding breeding area in real time; Each regional wind speed sensor unit is set at the regional ventilation opening in each breeding area to monitor the regional ventilation conditions in the corresponding breeding area in real time; Each regional concentration monitoring unit is set in each breeding area to monitor the regional ammonia concentration in the corresponding breeding area in real time; The overall concentration monitoring unit is arranged on the roof of the target breeding farm to monitor the overall ammonia concentration in the target breeding farm in real time; The overall wind speed sensing units are evenly arranged on the roof of the target farm to monitor the overall ventilation conditions in the target farm in real time; Wherein, the real-time monitoring data set includes: the feces production situation in the area, the ammonia concentration in the area and the ventilation situation in the area.

6. The intelligent disinfection system for farms according to claim 5, characterized in that: The first analysis and control module includes: a single determination unit, a primary verification unit, a secondary verification unit and a type of adjustment unit; for any breeding area, The single determination unit is used to determine whether the single ammonia content of the breeding area is qualified according to the regional ammonia concentration monitored by the regional concentration monitoring unit set in the breeding area and the preset standard regional concentration; The primary verification unit, when the single ammonia content is unqualified, obtains the actual feces coverage area of ​​the breeding area according to the image monitoring unit, and determines whether to start the secondary verification mode according to the actual feces coverage area; The secondary verification unit, based on the secondary verification mode, obtains the real-time airflow speed of the breeding area according to the regional wind speed sensing unit, and determines whether to make a type of adjustment to the breeding area according to the real-time airflow speed; The first type of adjustment unit is used to adjust the initial number of disinfection nozzles according to the regional ammonia concentration combined with the standard regional concentration to obtain the actual number of disinfection nozzles.

7. The intelligent disinfection system for farms according to claim 6, characterized in that: The second analysis control module includes: an acquisition unit and an overall determination unit; The obtaining unit is used to obtain the number of areas in each breeding area with a single qualified ammonia content; The overall determination unit is used to determine whether to start the overall verification mode according to the number of areas combined with the total number of areas; Among them, based on the fact that the number of areas reaches the total number of areas, it is determined to start the overall verification mode; based on the fact that the number of areas does not reach the total number of areas, it is determined not to start the overall verification mode.

8. The intelligent disinfection system for farms according to claim 7, characterized in that: The second analysis and control module further includes: a comparison unit, an overall verification unit and a second type of adjustment unit; The comparison unit, based on the overall verification mode, determines whether the overall ammonia content of the target farm is qualified according to the overall ammonia concentration monitored by the overall concentration monitoring unit arranged on the roof of the target farm and the standard area concentration; The overall verification unit, based on the unqualified overall ammonia content, obtains the overall airflow velocity at the roof vent of the target farm according to the overall wind speed sensing unit, and determines whether to perform the second type of adjustment on each breeding area according to the overall airflow velocity; The second type adjustment unit is used to adjust the initial single disinfection amount according to the overall ammonia concentration combined with the standard area concentration to obtain the actual single disinfection amount.

9. The intelligent disinfection system for farms according to claim 8, characterized in that: The overall verification unit includes: a partition calculation subunit, a mean calculation subunit and a difference calculation subunit, The partition calculation subunit divides the roof of the target farm into a number of longitudinal detection areas using vertical lines, and calculates the average airflow velocity of each longitudinal detection area as a unit airflow velocity value; The mean value calculation subunit is used to add the airflow velocity values ​​of each unit and divide it by the total number of detection points to obtain the overall airflow velocity of the target farm; The difference calculation subunit is used to subtract the overall airflow velocity from the airflow velocity value of each unit to obtain a number of flow velocity differences, take the absolute value of each flow velocity difference, obtain the maximum value among the absolute values ​​as the maximum overall deviation value, and determine whether the overall ammonia content is qualified based on the maximum overall deviation value.

10. The intelligent disinfection system for farms according to claim 9, characterized in that: The feedback correction module includes: a recording unit, a primary correction unit and a secondary correction unit; for any breeding area, The recording unit is used to obtain the number of times the first type of adjustment is performed on the breeding area within the corresponding initial disinfection cycle and the number of times the second type of adjustment is performed on the breeding area; The primary correction unit is used to correct the initial disinfection cycle according to the first type of number to obtain an actual disinfection cycle; The secondary correction unit is used to perform secondary correction on the actual disinfection cycle according to the second type of times to obtain a final disinfection cycle.

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