Intelligent livestock breeding system and method

Abstract

The invention provides an intelligent livestock breeding system and method, and relates to the technical field of intelligent animal husbandry. The system comprises a breeding shed, a breeding shed floor, and a temperature detection module, a humidity detection module, an odor detection module, a timed and quantitative water supply module, a timed and quantitative material supply module, a biogas supply module, a photovoltaic power supply module, a spraying module, an odor treatment module, a ventilation module, a primary control module and a central control module which are integrated in the breeding shed; each module is connected with the central control module through the primary control module; each module is connected with the photovoltaic power supply module; the gradient of the breeding shed floor is larger than zero, and a trench is formed in the low-gradient side of the breeding shed bottom plate. And the biogas supply module and the photovoltaic power supply module are respectively used for supplying heat and power to the farm. The breeding environment is kept clean and appropriate at extremely low cost, and the breeding benefits and the breeding automation degree are increased.

Description

Technical Field

[0001] The present application relates to the field of intelligent animal husbandry technology, and in particular to an intelligent animal husbandry system and method. Background Art

[0002] Smart animal husbandry is a livestock management method based on modern information technology, automation technology and artificial intelligence technology, which aims to improve the efficiency, accuracy and sustainability of animal husbandry. Through intelligent means, key links in the livestock breeding process (such as feed management, environmental control, health monitoring and production performance management) can be automated and data-driven, thereby optimizing the breeding process, reducing labor costs, and improving animal welfare and product quality. Smart animal husbandry improves production efficiency, reduces labor costs, ensures animal health, reduces resource waste and environmental pollution through automation, data-driven and precise management, and provides strong support for the sustainable development of modern animal husbandry.

[0003] After searching, the applicant found that the Chinese patent with publication number CN218681071U discloses an intelligent electronic monitoring device for animal husbandry, which automatically feeds and cleans the environment by setting up multiple mechanisms.

[0004] However, the above scheme does not take into account the resource consumption cost required for the complex structure. Long-term resource cost consumption will result in a deficit. The accuracy of environmental monitoring and the adjustment response rate of the mechanism are not taken into account. The breeding environment cannot be accurately regulated. Blind regulation may lead to the opposite result and affect the normal growth of the feed. The lack of practicality and feasibility restricts the development of intelligent animal husbandry. Summary of the invention

[0005] A technical problem to be solved by this application is that the resource consumption cost required for the complex structure is not taken into account, and long-term resource cost consumption will result in a deficit. In addition, the accuracy of environmental monitoring and the adjustment response rate of the mechanism are not taken into account, and the breeding environment cannot be accurately regulated. Blind regulation may lead to the opposite result, affecting the normal growth of the feed. The lack of practicality and feasibility restricts the development of intelligent animal husbandry.

[0006] To solve the above technical problems:

[0007] First aspect:

[0008] The present application embodiment provides an intelligent livestock breeding system, the system comprising:

[0009] Breeding shed, breeding shed floor, and temperature detection module, humidity detection module, odor detection module, timed quantitative water supply module, timed quantitative feeding module, biogas supply module, photovoltaic power supply module, spray module, odor treatment module, ventilation module, primary control module and central control module integrated in the breeding shed;

[0010] The temperature detection module, humidity detection module, odor detection module, timed quantitative water supply module, timed quantitative feeding module, biogas supply module, photovoltaic power supply module, spray module, odor treatment module and ventilation module are all connected to the central control module through the primary control module;

[0011] The temperature detection module, humidity detection module, odor detection module, timed quantitative water supply module, timed quantitative feeding module, biogas supply module, spray module, odor treatment module, ventilation module, primary control module and central control module are all connected to the photovoltaic power supply module;

[0012] The inclination of the breeding shed floor is greater than zero, and a trench is provided on the low-slope side of the breeding shed floor;

[0013] The biogas supply module and the photovoltaic power supply module are used to provide heating and electricity for the farm respectively.

[0014] Second aspect:

[0015] An intelligent livestock breeding method provided by an embodiment of the present invention is applied to the intelligent livestock breeding system of the first aspect, and the method comprises:

[0016] S1: Start the photovoltaic power supply module to supply power to each module;

[0017] S2: Collecting breeding environment information through various detection modules;

[0018] S3: pre-processing the breeding environment information through the primary control module, and determining whether the pre-processed breeding environment information exceeds the corresponding preset threshold value, if so, proceeding to step S4, otherwise, returning to step S2;

[0019] S4: Input the pre-processed aquaculture environment information into the central control module, and output control instructions for the timed quantitative water supply module, the timed quantitative feeding module, the biogas supply module, the spray module, the odor treatment module and the ventilation module;

[0020] S5: Control the corresponding module according to the control instruction to correct the breeding environment information that exceeds the preset threshold.

[0021] Through the above technical scheme, the present invention combines the biogas duration module and the photovoltaic power supply module to provide clean energy for the breeding environment, which is environmentally friendly and saves breeding costs. The introduction of temperature, humidity and odor detection and cleaning modules can optimize and maintain the breeding environment at the lowest execution cost. Moreover, the inclination of the breeding shed floor is greater than zero, and a ditch is provided on the low slope side of the breeding shed floor, which can reduce the difficulty of cleaning the breeding environment and further ensure the cleanliness of the breeding environment. In addition, a primary control module is provided to pre-judge the breeding environment information, and the central control module is centralized for comprehensive control, and each module is dispatched to jointly execute the control instructions to correct the breeding environment information. It has a high degree of automation, low cost, and can quickly respond to changes in the breeding environment information, and can maintain the breeding environment in the desired state at a very low cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0023] Figure 1 It is a flow chart of an intelligent livestock breeding system disclosed in an embodiment of the present application;

[0024] Figure 2 It is a structural schematic diagram of an intelligent animal husbandry method disclosed in an embodiment of the present application. DETAILED DESCRIPTION

[0025] The following is a further detailed description of the implementation methods of the present application in conjunction with the accompanying drawings and examples. The detailed descriptions of the following examples and the accompanying drawings are used to exemplarily illustrate the principles of the present application, but cannot be used to limit the scope of the present application. The present application can be implemented in many different forms and is not limited to the specific embodiments disclosed herein, but includes all technical solutions that fall within the scope of the claims.

[0026] The present application provides these embodiments to make the present application thorough and complete, and to fully express the scope of the present application to those skilled in the art. It should be noted that unless otherwise specifically stated, the relative arrangement of the parts and steps, the composition of the materials, the numerical expressions and the numerical values ​​set forth in these embodiments should be interpreted as being merely exemplary, and not as limiting.

[0027] It should be noted that, in the description of this application, unless otherwise specified, the meaning of "multiple" is greater than or equal to two; the terms "upper", "lower", "left", "right", "inner", "outer", etc., indicating the orientation or positional relationship, are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on this application. When the absolute position of the object being described changes, the relative positional relationship may also change accordingly.

[0028] In addition, the words "first", "second" and similar words used in this application do not indicate any order, quantity or importance, but are only used to distinguish different parts. "Vertical" does not mean vertical in the strict sense, but is within the tolerance range. "Parallel" does not mean parallel in the strict sense, but is within the tolerance range. "Include" or "comprising" and similar words mean that the elements before the word include the elements listed after the word, and do not exclude the possibility of including other elements.

[0029] It should also be noted that in the description of this application, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be directly connected or indirectly connected through an intermediate medium. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to the specific circumstances. When a specific device is described as being located between a first device and a second device, there may or may not be an intermediate device between the specific device and the first device or the second device.

[0030] All terms used in this application have the same meaning as those understood by those of ordinary skill in the art to which this application belongs, unless otherwise specifically defined. It should also be understood that terms defined in general dictionaries, such as general dictionaries, should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology, and should not be interpreted in an idealized or extremely formal sense, unless explicitly defined herein.

[0031] Technologies, systems, and devices known to ordinary technicians in the relevant art may not be discussed in detail, but where appropriate, the technologies, systems, and devices should be considered part of the specification.

[0032] Reference Manual Attached Figure 1 , showing a flow chart of an intelligent livestock breeding system disclosed in an embodiment of the present application.

[0033] An embodiment of the present application provides an intelligent livestock breeding system, which includes: a breeding shed, a breeding shed floor, and a temperature detection module, a humidity detection module, an odor detection module, a timed and quantitative water supply module, a timed and quantitative feeding module, a biogas supply module, a photovoltaic power supply module, a spray module, an odor treatment module, a ventilation module, a primary control module and a central control module integrated in the breeding shed.

[0034] It is understandable that the intelligent animal husbandry system includes a breeding shed and floor, and integrates temperature, humidity, odor detection modules, timed water supply and feeding modules, as well as biogas supply, photovoltaic power supply, spraying, odor treatment and ventilation modules. The system monitors and intelligently adjusts various parameters of the breeding environment in real time through the primary control module and the central control module to ensure the suitability of the environment and improve breeding efficiency and animal health.

[0035] The temperature detection module, humidity detection module, odor detection module, timed quantitative water supply module, timed quantitative feeding module, biogas supply module, photovoltaic power supply module, spray module, odor treatment module and ventilation module are all connected to the central control module through the primary control module.

[0036] It should be noted that the temperature detection, humidity detection, odor detection, timed water supply, feeding, biogas supply, photovoltaic power supply, spraying, odor treatment and ventilation modules are all connected to the central control module through the primary control module to achieve unified data collection and centralized control, so that the central control module can perform intelligent management and coordinated operations on each module, thereby optimizing the breeding environment.

[0037] The temperature detection module, humidity detection module, odor detection module, timed quantitative water supply module, timed quantitative feeding module, biogas supply module, spray module, odor treatment module, ventilation module, primary control module and central control module are all connected to the photovoltaic power supply module.

[0038] It should be noted that temperature detection, humidity detection, odor detection, timed water supply, timed feeding, biogas supply, spraying, odor treatment, ventilation, primary control and central control modules are all connected to the photovoltaic power supply module to ensure that each module of the system is powered by clean energy, thereby reducing energy consumption and achieving environmentally friendly operation.

[0039] The inclination of the breeding shed floor is greater than zero, and a ditch is arranged on the low-slope side of the breeding shed bottom plate.

[0040] The biogas supply module and the photovoltaic power supply module are used to provide heating and electricity for the farm respectively.

[0041] It should be noted that the floor of the breeding shed is designed to be inclined, and a ditch is set on the lower slope side to facilitate drainage and waste collection. At the same time, the biogas supply module provides heating for the farm, and the photovoltaic power supply module provides power support, thus achieving environmental cleanliness and energy self-sufficiency.

[0042] In some embodiments, the system further comprises: a biogas digester.

[0043] The biogas tank is located on the low slope side of the bottom plate of the breeding shed and is connected to the ditch.

[0044] It can be understood that the system is equipped with a biogas tank, which is located on the low slope side of the bottom plate of the breeding shed and is connected to the ditch. It is used to collect discharged organic waste and generate biogas through fermentation, thereby realizing waste utilization and clean energy supply.

[0045] In actual application, intelligent monitoring and automatic adjustment of the breeding environment are achieved by integrating modules such as temperature, humidity, odor detection, timed water supply, feeding, biogas supply, photovoltaic power supply, spraying, odor treatment and ventilation in the breeding shed. Each module is managed uniformly through the primary control module and the central control module, and photovoltaic power supply is used to support the operation of each module, reduce energy consumption, and ensure the environmental friendliness of the system. The inclined design of the breeding shed floor and the trench connected to the biogas tank realize the centralized collection and fermentation treatment of waste. The generated biogas is used for heating, providing clean energy for the farm, reducing costs and optimizing environmental management.

[0046] In the present invention, by combining the biogas duration module and the photovoltaic power supply module, clean energy is provided for the breeding environment, which is environmentally friendly and saves breeding costs. The introduction of temperature, humidity and odor detection and cleaning modules can optimize and maintain the breeding environment at the lowest execution cost. Moreover, the inclination of the breeding shed floor is greater than zero, and a ditch is provided on the low slope side of the breeding shed floor, which can reduce the difficulty of cleaning the breeding environment and further ensure the cleanliness of the breeding environment. In addition, a primary control module is provided to prejudge the breeding environment information, and the central control module is centralized for comprehensive control, and each module is dispatched to jointly execute the control instructions to correct the breeding environment information. It has a high degree of automation, low cost, and can quickly respond to changes in the breeding environment information, and can maintain the breeding environment in the desired state at a very low cost.

[0047] Refer to the instruction manual Figure 2 , showing a flow chart of an intelligent livestock breeding method disclosed in an embodiment of the present application.

[0048] The present invention also provides an intelligent animal husbandry method, which is applied to the above-mentioned intelligent animal husbandry system, and the method comprises:

[0049] S1: Start the photovoltaic power supply module to supply power to each module.

[0050] S2: Collect breeding environment information through various detection modules.

[0051] In some embodiments, the breeding environment information includes breeding environment temperature, breeding environment humidity and breeding environment odor value.

[0052] In some embodiments, S2 is specifically:

[0053] The temperature, humidity and odor values ​​of the breeding environment are collected through the temperature detection module and the odor detection module respectively.

[0054] It should be noted that the system uses the temperature, humidity and odor values ​​of the breeding environment as key monitoring data. In step S2, these data are collected by the temperature detection module, humidity detection module and odor detection module respectively. This design can grasp the core parameters of the breeding environment in real time and accurately, provide reliable data support for subsequent environmental adjustment and optimization, ensure that the animal husbandry environment meets health standards, and contribute to the stable growth of animals.

[0055] S3: Pre-process the breeding environment information through the primary control module, and determine whether the pre-processed breeding environment information exceeds the corresponding preset threshold. If so, enter step S4, otherwise, return to step S2.

[0056] It should be noted that the system pre-processes the breeding environment data (such as temperature, humidity, odor value, etc.) through the primary control module, and determines whether it exceeds the preset threshold. If it exceeds the threshold, it enters step S4 to perform corresponding adjustments. If it does not exceed, it returns to continue monitoring. The advantage of this hierarchical judgment is that it reduces unnecessary control operations, reduces energy consumption and system load, and ensures that it can respond quickly when environmental parameters exceed the safe range, improves the accuracy and efficiency of environmental management, and ensures the healthy growth of animals.

[0057] It should be noted that those skilled in the art can set the size of the preset threshold according to actual needs, and the present invention is not limited here.

[0058] In some embodiments, the aquaculture environment information is preprocessed by the primary control module, and it is determined whether the preprocessed aquaculture environment information exceeds the corresponding preset threshold, specifically including:

[0059] S301: Sort the breeding environment information based on the randomization principle.

[0060] Among them, the randomization principle refers to the introduction of a random selection strategy in algorithm processing to reduce the impact of fixed patterns and improve efficiency and adaptability. For example, in the sorting process, by randomly selecting benchmark elements, the performance bottleneck that may be caused by the fixed data order can be broken, so that the sorting can maintain a high efficiency under various data distribution conditions. Randomization is commonly used in algorithms such as quick sort to prevent the algorithm from having reduced efficiency under specific data arrangements. The system sorts the breeding environment information in combination with the randomization principle, that is, the environmental data is sorted by randomly selecting benchmark elements. This can effectively improve the sorting efficiency and make the subsequent screening of abnormal information that exceeds the threshold faster, thereby speeding up the system response speed and ensuring that the breeding environment can be adjusted in time.

[0061] In some embodiments, S301 specifically includes:

[0062] S3011: Select a reference element in the array to be sorted consisting of breeding environment information:

[0063] p=Random(low,high)

[0064] Among them, low and high represent the starting index and ending index of the array to be sorted, Random represents random selection, and p represents the benchmark element.

[0065] S3012: Exchange the base element with the element corresponding to the end index:

[0066] A[high],A[p]=A[p],A[high]

[0067] Among them, A[p], A[high] represent the base element p and the element corresponding to the end index high in the array A to be sorted, respectively.

[0068] S3013: Initialize pointer i to low-1.

[0069] S3014: traverse from index low in the to-be-sorted array to each element to be allocated corresponding to index high-1, and perform allocation if the element to be allocated is smaller than the element corresponding to the end index high:

[0070] A[j] <A[high],

[0071] i=i+1

[0072] A[i],A[j]=A[j],A[i]

[0073] Among them, A[j] represents the j-th element in the array to be sorted.

[0074] S3015: Place the element corresponding to the end index in the middle of the array to be sorted:

[0075] A[i+1],A[high]=A[high],A[i+1]

[0076] S3016: Update the reference position, i.e., the pointer, to i+1, and return to step S3012 until the index corresponding to the updated pointer is equal to the end index, and output the sorted breeding environment information.

[0077] It should be noted that by sorting the breeding environment information, first randomly select the benchmark element, exchange it with the element at the end of the array, then initialize the pointer and traverse the array, assign elements smaller than the benchmark to the left, and then place the benchmark element in the middle of the array. This process continuously updates the benchmark position and repeats the sorting steps until all elements are arranged in order. In this way, the environmental information can be sorted efficiently, which is convenient for subsequent screening and abnormal judgment.

[0078] S302: Filter the breeding environment information that exceeds the corresponding preset threshold from the sorted breeding environment information, and generate a judgment result of the breeding environment information, wherein the judgment result includes the breeding environment information exceeding the corresponding preset threshold and the breeding environment information not exceeding the corresponding preset threshold.

[0079] It should be noted that, since the sorted breeding environment information has a size relationship, it is only necessary to find a breeding environment information that is greater than the preset threshold, and then all subsequent data can be directly output as information that exceeds the preset threshold, without having to judge each one once, which greatly reduces the system's retrieval response speed. The system filters out data information that exceeds the preset threshold from the sorted breeding environment information, and generates a judgment result, indicating which information exceeds the threshold and which does not. Through this screening, the system can quickly identify abnormal parameters in the environment so that corresponding regulatory measures can be taken in a timely manner to ensure the stability of the breeding environment and the health of animals.

[0080] It should be noted that those skilled in the art can set the size of the preset threshold according to actual needs, and the present invention is not limited here.

[0081] S303: Output the judgment result.

[0082] It is understandable that in a farming environment, the health and production efficiency of animals are closely related to environmental factors (such as temperature, humidity, and odor values). Rapid changes in these factors can cause stress or health problems to animals, so the system needs to quickly detect abnormal data and respond quickly to adjust abnormal values. In the actual data collection process, a large amount of farming environment information will be output. If the bubbling method is used to sort and traverse to retrieve abnormal values, the complexity is extremely high, resulting in the system being unable to respond quickly. Long and frequent response delays may even lead to delay accumulation, resulting in the deterioration of farming environment information, which is not conducive to the growth of farmed animals.

[0083] It should be noted that the intelligent animal husbandry system uses randomized quick sorting to efficiently sort the breeding environment information, and generates judgment results by screening out abnormal data that exceeds the preset threshold. The system only needs to judge one data greater than the threshold to determine the subsequent data that exceeds the threshold, without having to judge one by one, which greatly improves the retrieval response speed, ensures the system's timely regulation of environmental anomalies, and reduces the risk of deterioration of the breeding environment, thereby optimizing the breeding environment and improving animal health and production efficiency.

[0084] S4: The pre-processed breeding environment information is input into the central control module, and control instructions for the timed quantitative water supply module, the timed quantitative feeding module, the biogas supply module, the spray module, the odor treatment module and the ventilation module are output.

[0085] In some embodiments, the control instruction is specifically:

[0086] When the temperature of the breeding environment is higher than the preset breeding environment temperature, the control instruction is to turn on the spray cooling mode of the spray module and the air circulation mode of the ventilation module to lower the breeding environment temperature.

[0087] When the temperature of the breeding environment is lower than the preset breeding environment temperature, the control instruction is to turn on the biogas supply module to increase the breeding environment temperature.

[0088] When the humidity of the breeding environment is higher than the preset humidity of the breeding environment, the control instruction is to turn on the air circulation mode of the ventilation module to reduce the humidity of the breeding environment.

[0089] When the humidity of the breeding environment is lower than the preset humidity of the breeding environment, the control instruction is to start the spray mode of the spray module to increase the humidity of the breeding environment.

[0090] When the odor value of the breeding environment is greater than or equal to the preset breeding environment odor value, the control instruction is to start the odor treatment module to reduce the odor value of the breeding environment.

[0091] When the timing duration in the timed quantitative water supply module, the timed quantitative feeding module and the spray module is greater than the preset timing duration, the control instruction is to respectively open the corresponding timed quantitative water supply module, the timed quantitative feeding module and the spray module to replenish water, replenish food and clean the environment.

[0092] It should be noted that the system automatically issues specific control instructions to maintain the suitability of the environment based on the detected breeding environment parameters: when the temperature is too high, start spray cooling and ventilation cycle. When the temperature is too low, start biogas heating to increase the temperature. When the humidity is too high, start ventilation to reduce the humidity, and when the humidity is too low, start spray humidification. When the odor value exceeds the standard, start the odor treatment module to purify the air. At the same time, when the timing cycle of the water supply, feed supply and spray module exceeds the preset value, the system will automatically add water and feed and clean the environment. This control method effectively ensures the comfort and hygiene of the breeding environment, and provides support for animal health and efficient breeding.

[0093] S5: Control the corresponding module according to the control instruction to correct the breeding environment information that exceeds the preset threshold.

[0094] In some embodiments, S5 is specifically:

[0095] S501: Control the corresponding module according to the control instruction, and correct the breeding environment information exceeding the preset threshold through a proportional control algorithm with a proportional gain value optimized based on gradient information.

[0096] Among them, gradient information refers to the rate of change of error to proportional gain, which is usually used to indicate the sensitivity of system output to input. In control, gradient information is used to optimize control parameters so that the control output can approach the target value more quickly and accurately. The proportional gain value is a key parameter in the proportional control algorithm, which determines the response strength of the controller to the error. A higher proportional gain value will make the system respond more quickly to the error, but too high a value may cause system instability. A lower proportional gain value will make the system respond more slowly. The proportional control algorithm is a feedback control algorithm whose control output is proportional to the current error. The main function of proportional control is to reduce the deviation between the system output and the target value by responding to the error immediately.

[0097] It should be noted that this solution adjusts each module according to the control instructions and uses a proportional control algorithm that combines gradient information to optimize the proportional gain value. When the breeding environment information exceeds the preset threshold, the proportional gain value is continuously adjusted through the gradient information, so that the control algorithm can more accurately and quickly correct the deviation of the environmental parameters and restore it to the ideal range. This method not only improves the control accuracy of the system, but also ensures the rapid response of the system in abnormal environmental conditions to ensure the stability of the breeding environment and the health of animals.

[0098] In some embodiments, S501 specifically includes:

[0099] S501A: Calculate the current error between the expected breeding environment information value and the current breeding environment information value:

[0100] e(t)=X target -X(t)

[0101] Among them, e(t) represents the expected breeding environment information value X target The current error between the aquaculture environment information value X(t) at time t.

[0102] S501B: Based on the current error, optimize the proportional gain value based on the gradient information:

[0103]

[0104] in, Indicates partial derivative, K p Represents the proportional gain value, K' p represents the optimized proportional gain value, η represents the learning rate, N represents the total number of time steps, J represents the loss function value about e(t), and α represents the preset system response coefficient.

[0105] The system response coefficient is used to indicate the degree of influence of the input signal (such as proportional control output) on the system output. It determines the sensitivity of the control input to the system response. The larger α is, the faster the system responds to the control input. It should be noted that those skilled in the art can set the size of the corresponding coefficient of the preset system according to actual needs, and the present invention is not limited here.

[0106] S501C: Calculate the current control output based on the optimized proportional gain value:

[0107] U(t)=K' p ×e(t)

[0108] Among them, U(t) represents the current control output, that is, the control output at time t.

[0109] Specifically, the system first calculates the current error, which is the difference between the desired aquaculture environment value and the current value. Then, the proportional gain value is optimized through gradient information to adjust the controller's response to the error. The optimized proportional gain enables the control system to approach the target state more accurately, and calculates the current control output to correct the aquaculture environment parameters in real time. This optimization method based on gradient information ensures the sensitivity and stability of the system response, making the aquaculture environment more suitable.

[0110] In actual application, the system is started through photovoltaic power supply and core data such as temperature, humidity and odor values ​​in the breeding environment are collected. The system pre-processes these data and determines whether they exceed the set threshold. If they exceed the threshold, random quick sorting and screening are started to quickly identify abnormal data. The central control module issues corresponding instructions based on the test results, such as adjusting temperature and humidity, purifying air or replenishing water and feed, etc., to optimize environmental conditions. When environmental parameters deviate from the preset values, the system uses a proportional control algorithm based on gradient information optimization to adjust the control strength of each module in real time to ensure accurate and efficient control. Through this comprehensive control method, the system can quickly identify and correct environmental anomalies, ensure animal health and improve breeding efficiency.

[0111] In the present invention, by combining the biogas duration module and the photovoltaic power supply module, clean energy is provided for the breeding environment, which is environmentally friendly and saves breeding costs. The introduction of temperature, humidity and odor detection and cleaning modules can optimize and maintain the breeding environment at the lowest execution cost. Moreover, the inclination of the breeding shed floor is greater than zero, and a ditch is provided on the low slope side of the breeding shed floor, which can reduce the difficulty of cleaning the breeding environment and further ensure the cleanliness of the breeding environment. In addition, a primary control module is provided to prejudge the breeding environment information, and the central control module is centralized for comprehensive control, and each module is dispatched to jointly execute the control instructions to correct the breeding environment information. It has a high degree of automation, low cost, and can quickly respond to changes in the breeding environment information, and can maintain the breeding environment in the desired state at a very low cost.

[0112] So far, various embodiments of the present application have been described in detail. In order to avoid obscuring the concept of the present application, some details known in the art are not described. Based on the above description, those skilled in the art can fully understand how to implement the technical solution disclosed herein.

[0113] Although some specific embodiments of the present application have been described in detail by way of examples, it should be understood by those skilled in the art that the above examples are for illustration only and are not intended to limit the scope of the present application. It should be understood by those skilled in the art that the above embodiments may be modified or some technical features may be replaced by equivalents without departing from the scope and spirit of the present application. In particular, the various technical features mentioned in the various embodiments may be combined in any manner as long as there is no structural conflict.

Claims

1. An intelligent animal husbandry system, characterized in that: include: A breeding shed, a breeding shed floor, and a temperature detection module, a humidity detection module, an odor detection module, a timed quantitative water supply module, a timed quantitative feeding module, a biogas supply module, a photovoltaic power supply module, a spray module, an odor treatment module, a ventilation module, a primary control module and a central control module integrated in the breeding shed; The temperature detection module, the humidity detection module, the odor detection module, the timed quantitative water supply module, the timed quantitative feeding module, the biogas supply module, the photovoltaic power supply module, the spray module, the odor treatment module and the ventilation module are all connected to the central control module through the primary control module; The temperature detection module, the humidity detection module, the odor detection module, the timed quantitative water supply module, the timed quantitative feeding module, the biogas supply module, the spray module, the odor treatment module, the ventilation module, the primary control module and the central control module are all connected to the photovoltaic power supply module; The inclination of the breeding shed floor is greater than zero, and a trench is provided on the low-slope side of the breeding shed floor; The biogas supply module and the photovoltaic power supply module are used to provide heat and electricity for the breeding farm respectively.

2. The intelligent livestock breeding system according to claim 1, characterized in that: The system also includes: a biogas digester; The biogas tank is located on the low-slope side of the bottom plate of the breeding shed and is connected to the ditch.

3. An intelligent animal husbandry method, characterized in that: Applied to the intelligent livestock breeding system according to any one of claims 1 to 2, the method comprises: S1: starting the photovoltaic power supply module to supply power to each module; S2: Collecting breeding environment information through various detection modules; S3: pre-processing the breeding environment information through the primary control module, and determining whether the pre-processed breeding environment information exceeds the corresponding preset threshold value, if so, proceeding to step S4, otherwise, returning to step S2; S4: inputting the pre-processed breeding environment information into the central control module, and outputting control instructions for the timed quantitative water supply module, the timed quantitative feeding module, the biogas supply module, the spray module, the odor treatment module and the ventilation module; S5: Control the corresponding module according to the control instruction to correct the breeding environment information that exceeds the preset threshold.

4. The intelligent animal husbandry method according to claim 3, characterized in that: The breeding environment information includes breeding environment temperature, breeding environment humidity and breeding environment odor value.

5. The intelligent animal husbandry method according to claim 4, characterized in that: The S2 is specifically: The temperature of the breeding environment, the humidity of the breeding environment and the odor value of the breeding environment are collected respectively through the temperature detection module, and the odor detection module.

6. The intelligent livestock breeding method according to claim 3, characterized in that: The preprocessing of the aquaculture environment information by the primary control module and determining whether the preprocessed aquaculture environment information exceeds a corresponding preset threshold value specifically includes: S301: sorting the breeding environment information in accordance with the randomization principle; S302: Filtering the aquaculture environment information that exceeds the corresponding preset threshold from the sorted aquaculture environment information, and generating a judgment result of the aquaculture environment information, wherein the judgment result includes that the aquaculture environment information exceeds the corresponding preset threshold and that the aquaculture environment information does not exceed the corresponding preset threshold; S303: Output the judgment result.

7. The intelligent livestock breeding method according to claim 6, characterized in that: The S301 specifically includes: S3011: Selecting a reference element in the array to be sorted consisting of the breeding environment information: p=Random(low,high) Among them, low and high represent the starting index and ending index of the array to be sorted, Random represents random selection, and p represents the benchmark element; S3012: Exchange the reference element with the element corresponding to the end index: A[high],A[p]=A[p],A[high] Among them, A[p], A[high] represent the base element p and the element corresponding to the end index high in the array A to be sorted respectively; S3013: Initialize pointer i to low-1; S3014: traverse from index low in the to-be-sorted array to each element to be allocated corresponding to index high-1, and perform allocation if the element to be allocated is smaller than the element corresponding to the end index high: i=i+1 A[i],A[j]=A[j],A[i] Among them, A[j] represents the jth element in the array to be sorted; S3015: placing the element corresponding to the end index in the middle of the array to be sorted: A[i+1],A[high]=A[high],A[i+1] S3016: Update the reference position, i.e., the pointer, to i+1, and return to step S3012 until the index corresponding to the updated pointer is equal to the end index, and output the sorted breeding environment information.

8. The intelligent livestock breeding method according to claim 3, characterized in that: The control instructions are specifically: When the temperature of the breeding environment is higher than the preset breeding environment temperature, the control instruction is to turn on the spray cooling mode of the spray module and the air circulation mode of the ventilation module to lower the breeding environment temperature; When the aquaculture environment temperature is lower than the preset aquaculture environment temperature, the control instruction is to turn on the biogas supply module to increase the aquaculture environment temperature; When the humidity of the breeding environment is higher than the preset humidity of the breeding environment, the control instruction is to turn on the air circulation mode of the ventilation module to reduce the humidity of the breeding environment; When the humidity of the breeding environment is lower than the preset humidity of the breeding environment, the control instruction is to start the spray mode of the spray module to increase the humidity of the breeding environment; When the odor value of the breeding environment is greater than or equal to the preset odor value of the breeding environment, the control instruction is to start the odor treatment module to reduce the odor value of the breeding environment; When the timing duration in the timed quantitative water supply module, the timed quantitative material supply module and the spray module is greater than the preset timing duration, the control instruction is to respectively turn on the corresponding timed quantitative water supply module, the timed quantitative material supply module and the spray module to replenish water, replenish food and clean the environment.

9. The intelligent livestock breeding method according to claim 3, characterized in that: The S5 is specifically: S501: Control the corresponding module according to the control instruction, and correct the breeding environment information exceeding the preset threshold through a proportional control algorithm with a proportional gain value optimized based on gradient information.

10. The intelligent livestock breeding method according to claim 9, characterized in that: The S501 specifically includes: S501A: Calculate the current error between the expected breeding environment information value and the current breeding environment information value: e(t)=X target -X(t) Among them, e(t) represents the expected breeding environment information value X target The current error between the aquaculture environment information value X(t) at time t; S501B: Based on the current error, optimize the proportional gain value based on the gradient information: in, Indicates partial derivative, K p Represents the proportional gain value, K' p represents the optimized proportional gain value, η represents the learning rate, N represents the total number of time steps, J represents the loss function value about e(t), and α represents the preset system response coefficient; S501C: Calculate the current control output based on the optimized proportional gain value: U(t)=K' p ×e(t) Among them, U(t) represents the current control output, that is, the control output at time t.

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