An intelligent control system and method for livestock and poultry breeding environment

Abstract

The present application provides an intelligent control system and method for livestock and poultry breeding environment, including an environmental factor module, a monitoring module, and a judgment module; the environmental factor module includes the environmental factor category to be monitored and the basic value of the environmental category, and the monitoring module can obtain the environmental factor value at a set frequency and period; the judgment module can judge whether the environmental factor is abnormal according to the environmental factor value obtained by the monitoring module and the basic value in the environmental factor module. The present application improves the accuracy and safety of the intelligent control system.

Description

Technical Field

[0001] The present application relates to the field of livestock and poultry breeding environment monitoring, and in particular to an intelligent control system and method for livestock and poultry breeding environment. Background Art

[0002] In the prior art, environmental factors in livestock and poultry farming have an important impact on the health, growth and production efficiency of animals. Environmental factors can include temperature, humidity, cleanliness, etc. For example, in poultry farming, the temperature of chickens during the brooding period should be kept at a constant temperature of 33°C to ensure that the chicks can adapt to the environment smoothly and grow healthily. If the temperature is too high or too low, or the temperature difference changes suddenly, it may cause the chicks to get sick or die, and even cause the quality of the entire batch of chicks to decline. The management of environmental factors in livestock and poultry farming is a complex and important task. Since it is necessary to provide a suitable environment according to the types and growth stages of different livestock and poultry, it is necessary to monitor various environmental factors and take effective management measures to deal with abnormal problems that occur. However, the control system in the prior art often makes corresponding adjustments when environmental abnormalities have occurred. For example, when the system detects that the temperature is too high, spray cooling is turned on. However, in the process of abnormality, it often has some adverse effects on the farmed livestock and poultry, especially when the livestock and poultry are still in a relatively fragile young stage. When some environmental factors change significantly, it may have a great impact on the growth of livestock and poultry. Therefore, a method that can more optimize and more accurately control environmental factors is needed. Summary of the invention

[0003] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art can think of other obvious variations. The basic principles of the present invention defined in the following description can be applied to other embodiments, variations, improvements, equivalents, and other technical solutions that do not deviate from the spirit and scope of the present invention.

[0004] In order to solve the technical problem, the present application provides an intelligent control system for livestock and poultry breeding environment, including an environmental factor module, a monitoring module, and a judgment module;

[0005] The environmental factor module includes the environmental factor categories to be monitored and the basic values ​​of the environmental categories;

[0006] The monitoring module can obtain the environmental factor values ​​at a set frequency and period;

[0007] The judgment module can judge whether an environmental factor is abnormal based on the environmental factor value obtained by the monitoring module and the basic value in the environmental factor module.

[0008] Among them, the basic values ​​include normal thresholds, fluctuation thresholds and amplitude difference thresholds of environmental factor categories obtained based on historical data of livestock and poultry breeding.

[0009] Among them, the judgment module includes a first abnormal module, wherein, when the environmental factor value obtained by the monitoring module is judged to have a risk of abnormality but does not trigger an abnormal alarm, the environmental factor value is obtained again and judged at the frequency and period set by the first abnormal module.

[0010] Among them, the judgment module includes a second abnormal module, wherein, when the environmental factor value obtained by the first abnormal module is judged to have a risk of abnormality but does not trigger an abnormal alarm, the environmental factor value is obtained again and judged at the frequency and period set by the second abnormal module.

[0011] Among them, the environmental factors include temperature, humidity, breeding density and cleanliness.

[0012] The present application also provides a method for using the intelligent control system for livestock and poultry breeding environment as described above, comprising the following steps:

[0013] Step S1: Provide the intelligent control system to monitor m types of environmental factors AE, AE = [AE1, AE2, AE3, ..., AE m ], where the i-th environmental factor category is AE i , set up AE i The normal threshold of the quasi-environmental factor is UI0, the fluctuation threshold is μ0, and the amplitude difference threshold is ω0;

[0014] Step S2: Monitor at the initial monitoring period AT0 with the monitoring frequency AP0, and obtain a total of AE i n factor values ​​of the environmental factor class UI0, UI0= [UI01, UI02, UI03, …, UI0 n ], set the jth factor value to UI0 j , get the jth factor value UI0 j Fluctuation value △Q0 j =|UI0 j -UI0|;

[0015] Get the fluctuation value △Q0 corresponding to the factor value UI0, and set the maximum value in △Q0 to △Q0 max , the minimum value is △Q0 min ;

[0016] Get AE in period AT0 i Average fluctuation of environmental factors ;

[0017] Amplitude difference △Q0 = △Q0 max - △Q0 min ;

[0018] When TI0≤μ0, go to step S1;

[0019] When TI0>μ0, go to step S3;

[0020] Step S3: when ΔQ0>ω0, go to step S4; when ΔQ0≤ω0, go to step S5;

[0021] Step S4: Determine AE i If there are abnormalities in the environmental factors, regulation will be carried out accordingly;

[0022] Step S5: In the first abnormal period AT1, the AE is monitored at the first monitoring frequency AP1. i Monitor environmental factors and obtain AE i The c factor values ​​of the environmental factor class UI1, UI1= [UI11, UI12, UI13, …, UI1 c ], where the zth factor value is UI1 z , UI1 z Fluctuation value △Q z =|UI0 z -UI0|;

[0023] Get the fluctuation value △Q1 of UI1, and set the maximum value of the fluctuation value △Q1 to △Q1 max , the minimum value is △Q1 min ;

[0024] Get the average fluctuation of monitoring period AT1 ;

[0025] Amplitude difference △Q1 = △Q1 max - △Q1 min ;

[0026] When TI1 ≤ μ0, go to step S1;

[0027] When TI1≥TI0, go to step S4;

[0028] When μ0 <TI1<TI0, go to step S6:

[0029] Step S6: When ΔQ1>ω0, go to step S4;

[0030] When △Q1≤ω0, go to step S7:

[0031] Step S7: Monitor at the second monitoring frequency AP2 during the second abnormal period AT2 to obtain AEi f environmental factor values ​​of the class environmental factor UI2, UI2 = [UI21, UI22, UI23, …, UI2 f ], where the value of the pth environmental factor is UI2 p , UI2 p Fluctuation △Q p =|UI0 p -UI0|;

[0032] Get AE in period AT2 i Average fluctuation of environmental factors ;

[0033] When TI2≤μ0, go to step S1;

[0034] When TI2>μ0, go to step S4.

[0035] Among them, the first abnormal cycle ;

[0036] First monitoring frequency .

[0037] The method of the intelligent control system is stored in a readable storage medium of an electronic device, and the processor of the electronic device can run the method of the intelligent control system as a computer program.

[0038] The beneficial effects achieved by this application are as follows:

[0039] This application can monitor various environmental factors and take effective management measures to deal with abnormalities or situations that may occur abnormally in a timely manner, avoid misjudgment in the case of insufficient data, and have adverse effects on farmed livestock and poultry, especially when environmental factors change significantly, it can be discovered and handled in a timely manner, and key data can be collected as much as possible for the possible abnormal categories. A more optimized and accurate intelligent system can be established to accurately and specifically regulate environmental factors. This application has a fast trigger speed, low cost, and the start and recovery of early warnings are very fast, with a wide range of applications. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] 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 recorded in the present application. For those skilled in the art, other drawings can also be obtained based on these drawings.

[0041] Figure 1 This is a flow chart of the steps of the method for the intelligent control system of the livestock and poultry breeding environment in this application. DETAILED DESCRIPTION

[0042] Below, in conjunction with the drawings in the embodiments of the present application, the technical solutions in the embodiments of the present application are clearly and completely described. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without making creative work are within the scope of protection of the present application. It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described here can be implemented in an order other than those illustrated or described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0043] Environmental factors in livestock and poultry farming have an important impact on the health, growth and production efficiency of animals. Environmental factors can include temperature, humidity, cleanliness, etc. For example, in poultry farming, the temperature of chickens during the brooding period should be kept at a constant temperature of 33°C to ensure that the chicks can adapt to the environment smoothly and grow healthily. If the temperature is too high or too low, or the temperature difference changes suddenly, it may cause the chicks to get sick or die, and even cause the quality of the entire batch of chicks to decline. In livestock farming, the environmental temperature of newborn piglets should be kept at 25-30°C. For pigs at different physiological stages, such as boars, pregnant sows, lactating sows, nursery piglets and fattening pigs, the suitable temperature range is also different. Exceeding the suitable temperature can easily lead to decreased digestive tract function, loss of appetite, and even heat stroke, increased cardiovascular burden, and may also cause problems such as respiratory diseases and fungal infections in livestock and poultry. It also has an adverse effect on reproductive performance, such as mother animals are prone to miscarriage or give birth to deformed cubs. When the temperature is lower than the suitable temperature, it will cause problems such as respiratory tract contraction, breathing difficulties, and decreased digestive function in livestock and poultry. Therefore, in order to provide a suitable environment, it is necessary to set up appropriate environmental factor adjustment equipment according to the type and growth stage of livestock and poultry, such as heating equipment, ventilation equipment or spray cooling equipment, etc., and it can also be adjusted through some operating methods. For example, the temperature in the house can be adjusted by adjusting the stocking density. The management of environmental factors in livestock and poultry farming is a complex and important task. Since it is necessary to provide a suitable environment according to the types and growth stages of different livestock and poultry, it is necessary to monitor various environmental factors and take effective management measures to deal with abnormal problems that occur. However, the control system in the prior art often makes corresponding adjustments when environmental abnormalities have occurred. For example, when the system detects that the temperature is too high, spray cooling is turned on. However, in the process of abnormality, it often has some adverse effects on the farmed livestock and poultry, especially when the livestock and poultry are still in a relatively fragile cub period. Some larger changes in environmental conditions may affect the growth of livestock and poultry. Therefore, a method that can more optimize and more accurately control environmental factors is needed.

[0044] The intelligent control system of the livestock and poultry breeding environment includes an environmental factor module, a monitoring module and a judgment module; the environmental factor module includes the environmental factor category to be monitored and the basic value of the environmental category, the basic value includes the normal threshold, fluctuation threshold and amplitude difference threshold of the environmental factor category obtained according to the livestock and poultry breeding historical data; the environmental factors include temperature, humidity, breeding density and cleanliness.

[0045] The monitoring module can obtain the environmental factor values ​​at a set frequency and period;

[0046] The judgment module can judge whether an abnormality occurs in the environmental factor according to the environmental factor value obtained by the monitoring module and the basic value in the environmental factor module, wherein the judgment module includes a first abnormal module, wherein when the environmental factor value obtained by the monitoring module is judged to have a risk of abnormality but does not trigger an abnormal alarm, the environmental factor value is obtained again at the frequency and period set by the first abnormal module and judged. The judgment module also includes a second abnormal module, wherein when the environmental factor value obtained by the first abnormal module is judged to have a risk of abnormality but does not trigger an abnormal alarm, the environmental factor value is obtained again at the frequency and period set by the second abnormal module and judged.

[0047] Through the intelligent control system for livestock and poultry breeding environment provided by the present application, m types of environmental factors AE are monitored, AE = [AE1, AE2, AE3, ..., AE m ], where the i-th environmental factor category is AE i ;

[0048] Among them, set AE i The normal threshold of the quasi-environmental factor is UI0, the average fluctuation threshold is μ0, and the amplitude difference threshold is ω0;

[0049] In the initial monitoring period AT0, the initial monitoring frequency AP0 is used for monitoring, and a total of AE i n factor values ​​of the environmental factor class UI0, UI0= [UI01, UI02, UI03, …, UI0 n ], set the jth factor value to UI0 j , get the jth factor value UI0 j Fluctuation value △Q0 j =|UI0 j -UI0|;

[0050] Get the fluctuation value △Q0 corresponding to the factor value UI0, and set the maximum value in △Q0 to △Q0 max , the minimum value is △Q0 min ;

[0051] Get AE in period AT0 i Average fluctuation of environmental factors ;

[0052] Amplitude difference △Q0 = △Q0 max - △Q0 min ;

[0053] When TI0≤μ0, it is determined that AE is within the monitoring period AT0. i If the environmental factors are normal, continue to monitor at the initial monitoring frequency;

[0054] When TI0>μ0, it is determined that AE is within the monitoring period AT0. i If the environmental factors are abnormal, the amplitude difference judgment step may occur:

[0055] When △Q0>ω0, the amplitude difference of the representative factor value is too large, and the AE i If an abnormal environmental factor occurs, the system will be alerted. The system will use the intervention method of the abnormal environmental factor to regulate. For example, within a 24-hour monitoring period, the normal temperature threshold and the temperature rise threshold are set to obtain high temperature data and temperature rise that exceed the normal temperature threshold. When there is too much high temperature data or the temperature rise is too large, the system will issue a high temperature abnormality alarm and perform spray cooling or ventilation treatment to cool down.

[0056] When △Q0≤ω0, it is determined that AE i The environmental factors may be abnormal, and the first abnormality check step is entered:

[0057] In the first abnormal period AP1, the AE is monitored at the first monitoring frequency AT1. i Monitor environmental factors and obtain AE i The c factor values ​​of the environmental factor class UI1, UI1= [UI11, UI12, UI13, …, UI1 c ], where the zth factor value is UI1 z , UI1 z Fluctuation value △Q z =|UI0 z -UI0|;

[0058] Get the fluctuation value △Q1 of UI1, and set the maximum value of the fluctuation value △Q1 to △Q1 max , the minimum value is △Q1 min ;

[0059] Get the average fluctuation of monitoring period AT1 ;

[0060] Amplitude difference △Q1 = △Q1 max - △Q1 min ;

[0061] When TI1 ≤μ0, it means that AE i If the environmental factors are normal, continue to monitor in the initial manner;

[0062] When TI1≥TI0, it is judged as AE i If the environmental factors are abnormal, the system will be alerted. iIt is regulated by means of intervention to prevent abnormal environmental factors.

[0063] When μ0 <TI1<TI0, enter the amplitude difference judgment step:

[0064] When △Q1>ω0, it is judged as AE i If the environmental factors are abnormal, the system will be alerted. i The interference means of abnormal environmental factors are used for regulation; when △Q1≤ω0, the second abnormality inspection step is entered:

[0065] Among them, the first abnormal cycle ;

[0066] First monitoring frequency .

[0067] In the second abnormal period AP2, monitoring is performed at the second monitoring frequency AT2 to obtain AE i f environmental factor values ​​of the class environmental factor UI2, UI2 = [UI21, UI22, UI23, …, UI2 f ], where the value of the pth environmental factor is UI2 p , UI2 p Fluctuation △Q p =|UI0 p -UI0|;

[0068] Among them, the second abnormal period ;

[0069] Second monitoring frequency .

[0070] Get AE in period AT2 i Average fluctuation of environmental factors ;

[0071] When TI2≤μ0, it is determined that AE is within the monitoring period AT0. i If the environmental factors are normal, continue to monitor at the initial monitoring frequency;

[0072] When TI2>μ0, it is judged as AE i If the environmental factors are abnormal, the system will be alerted. i It is regulated by means of intervention to prevent abnormal environmental factors.

[0073] Furthermore, the present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium includes a stored program, wherein the program executes the method described in the above method embodiment when it is run.

[0074] Furthermore, the present invention also provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to execute the method described in the above method embodiment through the computer program.

[0075] Further, it should be understood that since the setting of each module is only for illustrating the functional units of the device of the present invention, the physical devices corresponding to these modules can be the processor itself, or a part of the software in the processor, a part of the hardware, or a part of the combination of software and hardware. Therefore, the number of each module in the figure is only schematic.

[0076] It is understood by those skilled in the art that all or part of the processes in the method for implementing the above-mentioned embodiments of the present invention can also be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of each of the above-mentioned method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc. The computer-readable storage medium may include: any entity or device, medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory, random access memory, electric carrier signal, telecommunication signal and software distribution medium, etc., which can carry the computer program code.

[0077] The computer device may be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface network of the computer device, NFC (near field communication) or other technical implementations. The display screen of the computer device may be a liquid crystal display or an electronic ink display screen, and the input device of the computer device may be a touch layer covering the display screen, or a button, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0078] Those skilled in the art will appreciate that the various modules in the device may be adaptively split or merged, and such splitting or merging of specific modules will not cause the technical solution to deviate from the principles of the present invention. Therefore, the technical solutions after splitting or merging will fall within the protection scope of the present invention.

Claims

1. A control method of an intelligent control system for livestock and poultry breeding environment, characterized in that: The intelligent control system for livestock and poultry breeding environment includes an environmental factor module, a monitoring module and a judgment module; the environmental factor module includes the environmental factor category to be monitored and the basic value of the environmental factor category; the monitoring module can obtain the environmental factor value at a set frequency and period; the judgment module can judge whether the environmental factor is abnormal according to the environmental factor value obtained by the monitoring module and the basic value in the environmental factor module; The control method comprises the following steps: Step S1: Provide the intelligent control system to monitor m types of environmental factors AE, AE = [AE1, AE2, AE3, ..., AE m ], where the i-th environmental factor category is AE i , set up AE i The normal threshold of the quasi-environmental factor is UI0, the fluctuation threshold is μ0, and the amplitude difference threshold is ω0; Step S2: Monitor at the initial monitoring period AT0 with the monitoring frequency AP0, and obtain a total of AE i n factor values ​​of the environmental factor class UI0, UI0= [UI01, UI02, UI03, …, UI0 n ], set the jth factor value to UI0 j , get the jth factor value UI0 j Fluctuation value △Q0 j =|UI0 j -UI0|; Get the fluctuation value △Q0 corresponding to the factor value UI0, and set the maximum value in △Q0 to △Q0 max , the minimum value is △Q0 min ; Get AE in period AT0 i Average fluctuation of environmental factors ; Amplitude difference △Q0 = △Q0 max - △Q0 min ; When TI0≤μ0, go to step S1; When TI0>μ0, go to step S3; Step S3: when ΔQ0>ω0, go to step S4; when ΔQ0≤ω0, go to step S5; Step S4: Determine AE i If there are abnormalities in the environmental factors, regulation will be carried out accordingly; Step S5: In the first abnormal period AT1, the AE is monitored at the first monitoring frequency AP1. i Monitor environmental factors and obtain AE i The c factor values ​​of the environmental factor class UI1, UI1= [UI11, UI12, UI13, …, UI1 c ], where the zth factor value is UI1 z , UI1 z Fluctuation value △Q z =|UI1 z -UI0|; Get the fluctuation value △Q1 of UI1, and set the maximum value of the fluctuation value △Q1 to △Q1 max , the minimum value is △Q1 min ; Get the average fluctuation of monitoring period AT1 ; Amplitude difference △Q1 = △Q1 max - △Q1 min ; When TI1 ≤ μ0, go to step S1; When TI1≥TI0, go to step S4; When μ0 <TI1<TI0, go to step S6: Step S6: When ΔQ1>ω0, go to step S4; When △Q1≤ω0, go to step S7: Step S7: Monitor at the second monitoring frequency AP2 during the second abnormal period AT2 to obtain AE i f environmental factor values ​​of the class environmental factor UI2, UI2 = [UI21, UI22, UI23, …, UI2 f ], where the value of the pth environmental factor is UI2 p , UI2 p Fluctuation △Q p =|UI2 p -UI0|; Get AE in period AT2 i Average fluctuation of environmental factors ; When TI2≤μ0, go to step S1; When TI2>μ0, go to step S4.

2. The control method of the intelligent control system for livestock and poultry breeding environment according to claim 1, characterized in that: The basic values ​​include normal thresholds, fluctuation thresholds and amplitude difference thresholds of environmental factor categories obtained based on historical livestock and poultry breeding data.

3. The control method of the intelligent control system for livestock and poultry breeding environment according to claim 1, characterized in that: The judgment module includes a first abnormal module, wherein when the environmental factor value obtained by the monitoring module is judged to have a risk of abnormality but no abnormal alarm is triggered, the environmental factor value is obtained again and judged at the frequency and period set by the first abnormal module.

4. The control method of the intelligent control system for livestock and poultry breeding environment according to claim 3, characterized in that: The judgment module includes a second abnormal module, wherein when the environmental factor value obtained by the first abnormal module is judged to have a risk of abnormality but does not trigger an abnormal alarm, the environmental factor value is obtained again and judged at a frequency and period set by the second abnormal module.

5. The control method of the intelligent control system for livestock and poultry breeding environment according to claim 1, characterized in that: The environmental factors include temperature, humidity, stocking density and cleanliness.

6. The control method of the intelligent control system for livestock and poultry breeding environment according to claim 1, characterized in that: The first abnormal cycle ; First monitoring frequency .

7. The control method of the intelligent control system for livestock and poultry breeding environment according to claim 1, characterized in that: The method of the intelligent control system is stored in a readable storage medium of an electronic device, and the processor of the electronic device can run the method of the intelligent control system as a computer program.

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