Poultry monitoring method and system based on Internet of Things

Abstract

The invention relates to the technical field of poultry health monitoring, and particularly discloses a poultry monitoring method and system based on the Internet of Things, and the method comprises the steps: S1, installing intelligent foot rings for all poultry, carrying out the weighing, breeding the poultry with similar weight values in different breeding regions according to a preset breeding number, pressure sensors are installed below the poultry feeders in all the breeding areas; s2, collecting body temperature information and motion information of the corresponding poultry at a preset collection frequency through an intelligent foot ring, and collecting weight information of poultry feeders in each breeding area through a pressure sensor; according to the method, the body temperature information is preliminarily monitored and analyzed, the weight change data of all the poultry feeders are analyzed through the poultry monitoring center, whether the poultry possibly getting sick exists in the breeding area or not is judged, and therefore the health state of the bred poultry can be monitored, and when the poultry has the risk of getting sick, the poultry feeders can get sick; and the patient can be found and treated in time.

Description

Technical Field

[0001] The present invention relates to the technical field of poultry health monitoring, and in particular to a poultry monitoring method and system based on the Internet of Things. Background Art

[0002] Poultry refers to birds that are artificially raised mainly for their meat, eggs and feathers. Generally speaking, poultry is domesticated and raised for economic purposes to adapt to regular and controllable agricultural production in various ecological environments. Some common types of poultry include chickens, ducks, geese, etc. During poultry farming, in order to ensure the healthy growth of poultry, the health status of poultry needs to be monitored.

[0003] In the prior art, the monitoring of poultry breeding process is still mainly carried out by manual monitoring, and the physical condition of poultry is checked at fixed time to prevent poultry diseases. This method has great limitations and cannot monitor the health status of poultry in real time, so it is impossible to prevent poultry diseases in time. Once a sudden and fast-spreading disease occurs, the traditional method cannot detect it in time, which will cause irreparable losses to poultry breeding enterprises. Summary of the invention

[0004] The purpose of the present invention is to provide a poultry monitoring method and system based on the Internet of Things to solve the following technical problems:

[0005] How to fully monitor the health status of poultry and treat and prevent poultry diseases in a timely and effective manner.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A poultry monitoring method based on the Internet of Things, the method comprising:

[0008] S1. Install smart leg rings on all poultry and weigh them. Keep poultry with similar weights in different breeding areas according to preset breeding numbers. Install pressure sensors under poultry feeders in all breeding areas.

[0009] S2. Collect the body temperature and movement information of the corresponding poultry at a preset collection frequency through the smart foot ring, and collect the weight information of the poultry feeders in each breeding area through the pressure sensor;

[0010] S3. The poultry monitoring center monitors and analyzes the collected body temperature information of all poultry. If the body temperature value of a poultry exceeds a preset threshold, the poultry is marked as sick and an early warning signal of the poultry being sick is generated;

[0011] S4, analyzing the weight data of poultry feeders in all breeding areas through the poultry monitoring center. If there is an abnormal change in the weight of poultry feeders in a certain breeding area, executing step S5 to further monitor and analyze the status of poultry in the breeding area;

[0012] S5. The poultry monitoring center conducts a comprehensive analysis of the body temperature information and movement information of the poultry in the breeding area to determine whether there are poultry with a risk of illness in the breeding area. If so, the poultry is marked as sick and an early warning signal of the poultry's illness is generated.

[0013] Furthermore, in step S3, the process of generating the early warning signal of the poultry disease includes:

[0014] The poultry body temperature value T collected by the smart leg ring i and the preset threshold [T 1 ,T 2 ] for comparison;

[0015] If exists Mark the i-th poultry as sick and generate an early warning signal of the poultry being sick;

[0016] Among them, T i is the body temperature of the ith poultry, T 1 is the lowest healthy temperature of poultry, T 2 It is the highest healthy temperature value for poultry.

[0017] Further, in step S4, the process of analyzing and obtaining the weight data of poultry feeders in all breeding areas includes:

[0018] The weight change value ΔW of the poultry feeder collected by the pressure sensor within the preset time period j Compared with the normal weight range of feeders in the preset breeding area [W std，j -Δω j , W std，j +Δω j ] for comparison;

[0019] If exists It indicates that the weight change of the poultry feeder in the breeding area is abnormal, then step S5 is executed to further monitor and analyze the status of the poultry in the breeding area;

[0020] Where, ΔW j is the weight change of the poultry feeder in the jth breeding area within the preset time period, W std，j is the standard value of the weight change of poultry feeders in the jth breeding area within the preset time period, Δω j It is the allowable fluctuation value of the weight change of the poultry feeder in the jth breeding area within the preset time period.

[0021] Furthermore, the process of obtaining the standard value of the weight change and the allowable fluctuation value of the poultry feeder in the i-th breeding area within the preset time period includes:

[0022]

[0023] The standard value W of the weight change of poultry feeders in the i-th breeding area within the preset time period is obtained by analysis and calculation through formula (1): std，j , the allowable fluctuation value Δω of the poultry feeder weight change in the i-th breeding area within the preset time period is obtained by analyzing and calculating formula (2) j ;

[0024] Where N is the preset number of poultry in each breeding area, k∈[1,N], Q j，k is the weight value of the kth poultry in the jth breeding area, f(Q) is the conversion function of the weight value of a single poultry corresponding to the standard feed intake within a preset time period, and g(Q) is the conversion function of the weight value of a single poultry corresponding to the fluctuating feed intake within a preset time period.

[0025] Furthermore, in step S5, the process of generating the early warning signal of the poultry disease includes:

[0026] H j，k =Q j，k *ω 1 +E j，k *ω 2 (3)

[0027]

[0028] The poultry disease risk parameter value H is obtained by calculation and analysis through formula (3)-(5) j，k ;

[0029] Among them, [t 1 , t 2 ] is the preset time interval, T j，k，s (t) is the actual body temperature curve of the kth poultry in the jth breeding area over time, T j，k，std (t) is the curve of the theoretical body temperature of the kth poultry in the jth breeding area over time, P j，k，s (t) is the curve of the actual exercise volume of the kth poultry in the jth breeding area over time, P j，k，std (t) is the time variation curve of theoretical exercise volume of the kth poultry in the ith breeding area;

[0030] The poultry disease risk parameter value H j，k and the preset critical parameter value H of poultry disease risk std Make a comparison;

[0031] If H j，k ≥H std , marking the poultry as sick and generating an early warning signal of the poultry being sick;

[0032] Otherwise, no warning signal is generated.

[0033] In one embodiment, the method further comprises:

[0034] S6. Weigh all poultry at a preset frequency, analyze the weighing information and the normal weight interval values ​​of the feeders in the preset breeding areas, and determine whether to generate a signal to reallocate the breeding areas of all poultry according to the weight values.

[0035] Furthermore, the process of determining whether to generate a signal for reallocating the breeding areas of all poultry according to their weight values ​​includes:

[0036] Compare and analyze the theoretical minimum feed intake of a single poultry with the normal fluctuation of feeder weight in the breeding area;

[0037] W j，k，min =Q j，k *f(Q)-Q j，k *g(Q) (6)

[0038] ΔR j，std =2Δω j (7)

[0039] If there is W j，k，min ≤ΔR j，std *τ, generating a signal to redistribute the breeding areas of all poultry according to their weight values;

[0040] On the contrary, W j，k，min is the theoretical minimum feed intake of the kth poultry in the jth breeding area, ΔR j，std is the normal fluctuation difference of the feeder weight in the jth breeding area, and no redistribution signal is generated;

[0041] Among them, τ is the preset adjustment coefficient.

[0042] A poultry monitoring system based on the Internet of Things, the system is used for a poultry monitoring method based on the Internet of Things, the system comprising:

[0043] Smart anklets are installed on the ankles of poultry to collect poultry movement information and body temperature information;

[0044] Pressure sensor, used to collect feeding information of poultry in the area;

[0045] The poultry monitoring center monitors and analyzes the health status of each poultry based on the collected poultry body temperature information. When the poultry body temperature is abnormal, an early warning signal corresponding to the poultry’s illness is issued; the poultry health status in the area is analyzed based on the collected poultry feeding information. When the poultry feeding in the area is abnormal, a comprehensive analysis is conducted on the poultry movement information and body temperature information in the area to determine whether there is any poultry illness. If so, an early warning signal corresponding to the poultry illness is issued;

[0046] The signal execution module is used to execute the early warning signal of poultry disease.

[0047] Beneficial effects of the present invention:

[0048] (1) The present invention performs preliminary monitoring and analysis of body temperature information through a poultry monitoring center. If the body temperature value of a certain poultry is not within a preset threshold range, the poultry is marked as sick and an early warning signal of the poultry being sick is generated. The poultry monitoring center then analyzes the weight change data of all poultry feeders. If the weight change of a poultry feeder in a certain breeding area is abnormal, the body temperature information and movement information of the poultry in the breeding area are comprehensively analyzed to determine whether there are poultry that may be sick in the breeding area. In this way, the health status of the farmed poultry can be monitored. When there is a risk of poultry getting sick, it can be discovered and treated in a timely manner, so that poultry diseases can be treated and prevented in a timely and effective manner.

[0049] (2) The present invention analyzes the weight change value of the feeder in each breeding area to determine whether there is a breeding area with a feeder weight change. If so, a comprehensive analysis is performed on the body temperature information and movement information of all poultry in the breeding area to determine whether there are poultry with a risk of illness in the breeding area. If so, the poultry is marked as sick and an early warning signal of the poultry being sick is generated, so that when the poultry's food intake is abnormal, the staff can promptly find the poultry that may be sick, thereby achieving the purpose of fully monitoring the health status of the poultry. Once a sudden disease with a fast spread speed occurs, it can be quickly discovered and treated to avoid irreparable losses to the poultry breeding enterprise.

[0050] (3) The present invention compares and analyzes the theoretical minimum food intake of a single poultry in each breeding area and the normal fluctuation difference of the feeder weight in the corresponding breeding area. When the minimum food intake of a single poultry in any breeding area cannot reach the preset standard, there may be a deviation in the poultry monitoring results, and it is necessary to generate a breeding area for all poultry and reallocate it according to the weight value. After the reallocation, the accuracy of monitoring the weight changes of the poultry feeders in each breeding area can be improved, thereby improving the accuracy of health status monitoring during poultry breeding, and timely and effectively treating and preventing poultry diseases. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] The present invention will be further described below in conjunction with the accompanying drawings.

[0052] Figure 1 It is a flow chart of the steps of a poultry monitoring method based on the Internet of Things proposed by the present invention;

[0053] Figure 2 This is a schematic block diagram of a poultry monitoring system based on the Internet of Things proposed by the present invention. DETAILED DESCRIPTION

[0054] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0055] See also Figure 1 As shown, in one embodiment, a poultry monitoring method based on the Internet of Things is provided, the method comprising:

[0056] S1. All poultry are equipped with smart anklets, which are equipped with acceleration sensors, temperature sensors and Internet of Things communication modules. The acceleration sensors can monitor the amount of exercise of poultry, the temperature sensors can accurately measure the temperature changes of poultry, and the Internet of Things communication modules can transmit the data collected by the sensors to the poultry monitoring center for weighing. The weighing can be done by an automatic weighing device placed in the breeding area or by manual weighing one by one. Poultry with similar weight values ​​are kept in different breeding areas according to preset breeding numbers. The preset breeding numbers can be obtained based on experience. Pressure sensors are installed under the poultry feeders in all breeding areas. The pressure sensors can collect the weight information of the poultry feeders.

[0057] S2. Collect the body temperature and movement information of the corresponding poultry at a preset collection frequency through the smart foot ring, and collect the weight information of the poultry feeders in each breeding area through the pressure sensor;

[0058] S3. Preliminary monitoring and analysis of the collected body temperature information of all poultry is performed through the poultry monitoring center. If the body temperature value of a poultry exceeds a preset threshold, the poultry is marked as sick and an early warning signal of the poultry being sick is generated;

[0059] S4, analyzing the weight data of poultry feeders in all breeding areas through the poultry monitoring center. If there is an abnormal change in the weight of poultry feeders in a breeding area, step S5 is executed to further monitor and analyze the status of poultry in the breeding area. Otherwise, step S5 is not executed.

[0060] S5. The poultry monitoring center conducts a comprehensive analysis of the body temperature information and movement information of the poultry in the breeding area to determine whether there are poultry with a risk of illness in the breeding area. If so, the poultry is marked as sick and an early warning signal of the poultry's illness is generated.

[0061] Through the above technical scheme, this implementation provides a poultry monitoring method based on the Internet of Things, by installing smart foot rings on poultry, and raising poultry with similar weight values ​​in different breeding areas, a pressure sensor for collecting the weight of the poultry feeder is installed under the poultry feeder in each breeding area, so that the body temperature information, movement information and poultry feeder weight information of the poultry are collected through the smart foot rings and pressure sensors, and the body temperature information is preliminarily monitored and analyzed by the poultry monitoring center. If the body temperature value of a certain poultry is not within the preset threshold range, it means that the poultry is at risk of getting sick, then the poultry is marked as sick and an early warning signal of the poultry getting sick is generated, and then all poultry feeders are monitored by the poultry monitoring center. The weight change data is analyzed. If there is an abnormal weight change of the poultry feeder in a certain breeding area, it means that the food intake of the poultry in the breeding area is abnormal. The status of the poultry in the breeding area is further monitored and analyzed. By comprehensively analyzing the body temperature information and movement information of the poultry in the breeding area, it is determined whether there are poultry that may be sick in the breeding area. If so, the poultry is marked as sick and an early warning signal of the poultry being sick is generated. In this way, the health status of the farmed poultry can be monitored. When there is a risk of poultry getting sick, it can be discovered and treated in time, and poultry diseases can be treated and prevented in a timely and effective manner. It should be noted that all the above-mentioned poultry refer to poultry of the same breed and born at a similar time.

[0062] In one embodiment, in step S3, the process of generating the early warning signal of the poultry being sick includes:

[0063] The poultry body temperature value T collected by the smart leg ring i and the preset threshold [T 1 , T 2 ] for comparison;

[0064] If exists This indicates that the body temperature of the i-th poultry is abnormal and the poultry is at risk of becoming ill. The i-th poultry is marked as ill and an early warning signal of the poultry becoming ill is generated;

[0065] Among them, Ti is the body temperature of the ith poultry, T 1 is the lowest healthy temperature of poultry, T 2 is the highest healthy temperature value of poultry. Both the lowest healthy temperature value and the highest healthy temperature value of poultry can be preset based on experience, which is mainly related to factors such as poultry breed and age.

[0066] Through the above technical solution, this embodiment provides a method for preliminary monitoring of poultry health. When the poultry has abnormal body temperature due to illness, the method can monitor and mark the sick poultry in the first time, effectively improving the timeliness of poultry health monitoring.

[0067] In one embodiment, in step S4, the process of analyzing and obtaining the weight data of poultry feeders in all breeding areas includes:

[0068] The weight change value ΔW of the poultry feeder collected by the pressure sensor within the preset time period j Compared with the normal weight range of feeders in the preset breeding area [W std，j -Δω j , W std，j +Δω j ] for comparison;

[0069] If exists It indicates that the weight change of the poultry feeder in the breeding area is abnormal, then step S5 is executed to further monitor and analyze the status of the poultry in the breeding area;

[0070] The preset time period can be obtained through experience, and is generally related to the poultry feeding time and poultry habits. For example, if each breeding area is uniformly fed at 8 o'clock every day, the preset time period can be preset to 8:10 to 9:10 or 8:10 to 10:10, or 8:10 to 9:10 is the first monitoring time period, and 9:10 to 10:10 is the second monitoring time period. The weight change of the poultry feeder within the preset time period can fully reflect the feeding status of the poultry, and ΔW j is the weight change value of the poultry feeder in the i-th breeding area within the preset time period, which can be obtained based on the weight information collected by the pressure sensor, W std，j is the standard value of the weight change of poultry feeders in the jth breeding area within the preset time period, Δω j It is the allowable fluctuation value of the weight change of the poultry feeder in the jth breeding area within the preset time period.

[0071] The process of obtaining the standard value of the weight change and the allowable fluctuation value of the poultry feeder in the i-th breeding area within the preset time period includes:

[0072]

[0073] The standard value W of the weight change of poultry feeders in the i-th breeding area within the preset time period is obtained by analysis and calculation through formula (1): std，j , the allowable fluctuation value Δω of the poultry feeder weight change in the i-th breeding area within the preset time period is obtained by analyzing and calculating formula (2) j ;

[0074] Where N is the preset number of poultry in each breeding area, k∈[1,N], Q j，k is the weight value of the kth poultry in the jth breeding area, which can be obtained based on the latest data of poultry weighing. Generally, all poultry are weighed at a preset frequency based on breeding experience, such as weighing at a fixed time node every day or weighing at intervals of 72 hours. f(Q) is the conversion function of the weight value of a single poultry corresponding to the standard food intake within a preset time period, and g(Q) is the conversion function of the weight value of a single poultry corresponding to the fluctuating food intake within a preset time period. Both f(Q) and g(Q) can be obtained based on experimental analysis of poultry weight and poultry food intake, which is related to multiple factors such as the breed, age, growth stage, and growth environment of the poultry.

[0075] In step S5, the process of generating the early warning signal of the poultry disease includes:

[0076] H j，k =Q j，k *ω 1 +E j，k *ω 2 (3)

[0077]

[0078] The poultry disease risk parameter value H is obtained by calculation and analysis through formula (3)-(5) j，k ;

[0079] Among them, [t 1 , t 2 ] is the preset time interval, which is obtained based on experience, usually 6 hours, 12 hours or 24 hours, T j，k，s (t) is the actual body temperature curve of the kth poultry in the jth breeding area over time, which can be obtained by fitting the temperature value collected by the temperature sensor. j，k，std (t) is the time-varying curve of the theoretical body temperature of the kth poultry in the jth breeding area, which can be obtained based on the experimental analysis of the time-varying body temperature of poultry. It is specifically related to multiple factors such as poultry breed, age, growth stage, growth environment, and weight. j，k，s (t) is the time-varying curve of the actual movement of the kth poultry in the jth breeding area, which can be obtained by fitting the movement data collected by the acceleration sensor. j，k，std(t) is the time-varying curve of the theoretical exercise volume of the kth poultry in the jth breeding area, which can be obtained based on the experimental analysis of the time-varying exercise volume of poultry, and is specifically related to multiple factors such as poultry breed, age, growth stage, growth environment, weight, and individual habits;

[0080] The poultry disease risk parameter value H j，k and the preset critical parameter value H of poultry disease risk std The preset critical parameter value H of poultry disease risk is std Available through experience selection;

[0081] If H j，k ≥H std , marking the poultry as sick and generating an early warning signal of the poultry being sick;

[0082] Otherwise, no warning signal is generated.

[0083] Through the above technical scheme, this embodiment provides a method for further monitoring the health of poultry. First, by analyzing the weight change value of the feeder in each breeding area, it is determined whether there is a breeding area where the feeder weight changes. If so, the body temperature information and movement information of all poultry in the breeding area are comprehensively analyzed to determine whether there are poultry with a risk of illness in the breeding area. If so, the poultry is marked as sick and an early warning signal of the poultry's illness is generated, so that when the poultry's food intake is abnormal, the staff can promptly discover the poultry that may be sick, thereby achieving the purpose of fully monitoring the health status of the poultry. Once a sudden disease with a fast spread occurs, it can be quickly discovered and treated to avoid irreparable losses to the poultry breeding enterprise.

[0084] In one embodiment, the method further comprises:

[0085] S6. Weigh all poultry at a preset frequency, where the preset frequency can be preset based on farming experience. Analyze the weighing information and the normal weight interval value of the feeder in the preset farming area to determine whether to generate a signal to reallocate the farming areas of all poultry based on their weight values.

[0086] The process of determining whether to generate a signal for reallocating the breeding areas of all poultry according to their weight values ​​includes:

[0087] Compare and analyze the theoretical minimum feed intake of a single poultry with the normal fluctuation of feeder weight in the breeding area;

[0088] W j，k，min =Q j，k *f(Q)-Q j，k *g(Q) (6)

[0089] ΔR j，std =2Δω j (7)

[0090] If there is W j，k，min ≤ΔR j，std *τ, indicating that the poultry with the lowest food intake in the jth breeding area may not be detected if it does not eat within the preset time period, so a signal is generated to redistribute the breeding areas of all poultry according to their weight values ​​to improve the accuracy of poultry monitoring;

[0091] Otherwise, no reallocation signal is generated;

[0092] Among them, W j，k，min is the theoretical minimum feed intake of the kth poultry in the jth breeding area, ΔR j，std is the normal fluctuation difference of the feeder weight in the jth breeding area, τ is the preset adjustment coefficient, which is generally between 0 and 1. For example, when the preset frequency of weighing all poultry is low, the weight of the poultry after the last weighing may be less than the real-time weight of the poultry, resulting in W calculated and analyzed by formula (6) j，k，min It is smaller than the actual theoretical minimum food intake of a single poultry. To improve the accuracy of monitoring, τ can be preset to 0.9, which is obtained based on experience.

[0093] Through the above technical scheme, this embodiment provides a method for generating a signal for reallocating all poultry breeding areas according to their weight values. The method can compare and analyze the theoretical minimum food intake of a single poultry in each breeding area and the normal fluctuation difference of the feeder weight in the corresponding breeding area. When the minimum food intake of a single poultry in any breeding area cannot reach the preset standard, it means that the poultry with the lowest food intake in the breeding area may not be monitored and detected if it does not eat within a preset time period, and thus a deviation in the poultry monitoring results may occur. Therefore, it is necessary to generate a signal for reallocating all poultry breeding areas according to their weight values. After the reallocation, the weight values ​​of the poultry in a single breeding area are similar. Through step S4, the accuracy of monitoring the weight changes of the poultry feeders in each breeding area can be improved, thereby improving the accuracy of health status monitoring during poultry breeding, and timely and effective treatment and prevention of poultry diseases can be performed.

[0094] See also Figure 2 As shown, in one embodiment, a poultry monitoring system based on the Internet of Things is provided, the system is used for a poultry monitoring method based on the Internet of Things, and the system includes:

[0095] A smart anklet with a built-in acceleration sensor, a body temperature sensor and an Internet of Things communication module, installed on the ankle of each poultry to collect poultry movement information and body temperature information;

[0096] Pressure sensors are installed under poultry feeders in all breeding areas to collect feeding information of poultry in the area;

[0097] The poultry monitoring center monitors and analyzes the health status of each poultry based on the collected poultry body temperature information. When the poultry body temperature is abnormal, an early warning signal corresponding to the poultry’s illness is issued; the poultry health status in the area is analyzed based on the collected poultry feeding information. When the poultry feeding in the area is abnormal, a comprehensive analysis is conducted on the poultry movement information and body temperature information in the area to determine whether there is any poultry illness. If so, an early warning signal corresponding to the poultry illness is issued;

[0098] The signal execution module is used to execute the early warning signal of poultry disease.

[0099] Through the above technical scheme, this embodiment provides a poultry monitoring system based on the Internet of Things, and the system is used for a poultry monitoring method based on the Internet of Things. The system includes: a smart anklet, a pressure sensor, a poultry monitoring center and a signal execution module. The movement information, body temperature information of the poultry and the weight information of the poultry feeders in each breeding area are collected through the smart anklet and the pressure sensor module, and then the collected information is monitored and analyzed by the poultry monitoring center. When there is a risk of poultry getting sick, an early warning signal of the poultry getting sick is generated, and the early warning signal is executed by the signal execution module.

[0100] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A poultry monitoring method based on the Internet of Things, characterized in that: The method comprises: S1. Install smart leg rings on all poultry and weigh them. Keep poultry with similar weights in different breeding areas according to preset breeding numbers. Install pressure sensors under poultry feeders in all breeding areas. S2. Collect the body temperature and movement information of the corresponding poultry at a preset collection frequency through the smart foot ring, and collect the weight information of the poultry feeders in each breeding area through the pressure sensor; S3. The poultry monitoring center monitors and analyzes the collected body temperature information of all poultry. If the body temperature value of a poultry exceeds a preset threshold, the poultry is marked as sick and an early warning signal of the poultry being sick is generated; S4, analyzing the weight data of poultry feeders in all breeding areas through the poultry monitoring center. If there is an abnormal change in the weight of poultry feeders in a certain breeding area, executing step S5 to further monitor and analyze the status of poultry in the breeding area; S5. The poultry monitoring center conducts a comprehensive analysis of the body temperature information and movement information of the poultry in the breeding area to determine whether there are poultry with a risk of illness in the breeding area. If so, the poultry is marked as sick and an early warning signal of the poultry's illness is generated.

2. The poultry monitoring method based on the Internet of Things according to claim 1, characterized in that: In step S3, the process of generating the early warning signal of the poultry disease includes: The poultry body temperature value T collected by the smart leg ring i Compare with the preset threshold [T1, T2]; If exists Mark the i-th poultry as sick and generate an early warning signal of the poultry being sick; Among them, T i is the body temperature of the i-th poultry, T1 is the lowest healthy temperature of the poultry, and T2 is the highest healthy temperature of the poultry.

3. A poultry monitoring method based on the Internet of Things according to claim 2, characterized in that: In step S4, the process of analyzing and obtaining the weight data of poultry feeders in all breeding areas includes: The weight change value ΔW of the poultry feeder collected by the pressure sensor within the preset time period j Compared with the normal weight range of feeders in the preset breeding area [W std,j -Δω j ,W std,j +Δω j ] for comparison; If exists If the weight change of the poultry feeder in the breeding area is abnormal, step S5 is executed to further monitor and analyze the status of the poultry in the breeding area; Where, ΔW j is the weight change of the poultry feeder in the jth breeding area within the preset time period, W std,j is the standard value of the weight change of poultry feeders in the jth breeding area within the preset time period, Δω j It is the allowable fluctuation value of the weight change of the poultry feeder in the jth breeding area within the preset time period.

4. The poultry monitoring method based on the Internet of Things according to claim 3, characterized in that: The process of obtaining the standard value of the weight change and the allowable fluctuation value of the poultry feeder in the jth breeding area within the preset time period includes: The standard value W of the weight change of poultry feeders in the jth breeding area within the preset time period is obtained by analysis and calculation through formula (1): std,j , the allowable fluctuation value Δω of the poultry feeder weight change in the jth breeding area within the preset time period is obtained by analyzing and calculating formula (2) j ; Where N is the preset number of poultry in each breeding area, k∈[1,N], Q j,k is the weight value of the kth poultry in the jth breeding area, f(Q) is the conversion function of the weight value of a single poultry corresponding to the standard feed intake within a preset time period, and g(Q) is the conversion function of the weight value of a single poultry corresponding to the fluctuating feed intake within a preset time period.

5. The poultry monitoring method based on the Internet of Things according to claim 4, characterized in that: In step S5, the process of generating the early warning signal of the poultry disease includes: H j,k =Q j,k *ω1+E j,k *ω2 (3) The poultry disease risk parameter value H is obtained by calculation and analysis through formula (3)-(5) j,k ; Where [t1, t2] is the preset time interval, T j,k,s (t) is the actual body temperature curve of the kth poultry in the jth breeding area over time, T j,k,std (t) is the curve of the theoretical body temperature of the kth poultry in the jth breeding area over time, P j,k,s (t) is the curve of the actual exercise volume of the kth poultry in the jth breeding area over time, P j,k,std (t) is the curve of theoretical exercise volume of the kth poultry in the jth breeding area over time; The poultry disease risk parameter value H j,k and the preset critical parameter value H of poultry disease risk std Make a comparison; If H j,k ≥H std , marking the poultry as sick and generating an early warning signal of the poultry being sick; Otherwise, no warning signal is generated.

6. The poultry monitoring method based on the Internet of Things according to claim 5, characterized in that: The method further comprises: S6. Weigh all poultry at a preset frequency, analyze the weighing information and the normal weight interval values ​​of the feeders in the preset breeding areas, and determine whether to generate a signal to reallocate the breeding areas of all poultry according to the weight values.

7. The poultry monitoring method based on the Internet of Things according to claim 6, characterized in that: The process of determining whether to generate a signal for reallocating the breeding areas of all poultry according to their weight values ​​includes: Compare and analyze the theoretical minimum feed intake of a single poultry with the normal fluctuation of feeder weight in the breeding area; W j,j,min =Q j,k*f (Q)-Q j,k *g(Q) (6) ΔR j,std =2Do j (7) If there is W j,k,min ≤ΔR j,std *τ, generates a signal to redistribute the breeding areas of all poultry according to their weight values; Otherwise, no reallocation signal is generated; Among them, W j,k,min is the theoretical minimum feed intake of the kth poultry in the jth breeding area, ΔR j,std is the normal fluctuation difference of feeder weight in the jth breeding area, and τ is the preset adjustment coefficient.

8. A poultry monitoring system based on the Internet of Things, characterized in that: The system is used for a poultry monitoring method based on the Internet of Things according to any one of claims 1 to 7, and the system comprises: Smart anklets are installed on the ankles of poultry to collect poultry movement and body temperature information; Pressure sensor, used to collect feeding information of poultry in the area; The poultry monitoring center monitors and analyzes the health status of each poultry based on the collected poultry body temperature information. When the poultry body temperature is abnormal, an early warning signal corresponding to the poultry’s illness is issued; the poultry health status in the area is analyzed based on the collected poultry feeding information. When the poultry feeding in the area is abnormal, a comprehensive analysis is conducted on the poultry movement information and body temperature information in the area to determine whether there is any poultry illness. If so, an early warning signal corresponding to the poultry illness is issued; The signal execution module is used to execute the early warning signal of poultry disease.

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