Intelligent chicken raising system and method based on big data

Abstract

The invention relates to the technical field of intelligent poultry breeding management, and discloses an intelligent chicken breeding system and method based on big data, and the system comprises a chicken house environment supervision module, a chicken house feed feeding supervision module, a chicken house disease supervision module, and a chicken house breeding state feedback module. The camera and the physiological detection sensor are used for accurately collecting behavior characteristic images and physiological characteristic parameters of the bred chickens on line; based on the bred chicken behavior feature image parameters, combined with image analysis and the bred chicken pathological behavior feature image parameters, intelligent recognition of the bred chicken pathological behavior state is carried out; according to the physiological feature parameters of the bred chickens, numerical analysis and the normal physiological feature parameter interval of the bred chickens are combined for accurate diagnosis of abnormal pathological physiological feature states of the bred chickens, and reliable monitoring of the physiological feature pathological states of the bred chickens in the henhouse is achieved; visual monitoring of the henhouse environment state, the henhouse feeding state and the growth state of chickens bred in the henhouse is achieved, and the breeding quality of the henhouse is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent poultry breeding management, and in particular to an intelligent chicken breeding system and method based on big data. Background Art

[0002] The traditional chicken farming model relies heavily on manual experience, and there are problems such as difficulty in accurately controlling the amount of feed fed, untimely regulation of the chicken house environment, and delayed disease prevention and monitoring. These problems lead to low growth efficiency, high mortality, and increased breeding costs of chickens. They cannot meet the needs of efficient, precise, and intelligent management of the modern large-scale chicken farming industry. The existing chicken house management platform cannot scientifically and comprehensively monitor the breeding environment, feeding amount, and growth status of chickens in the chicken house, increasing the safety risks and workload of poultry farming.

[0003] A Chinese invention patent with announcement number CN118628279B discloses a cloud-based intelligent weighing and breeding management system, which measures the weight of chickens and eggs in a chicken house through a data acquisition module. The cloud-based analysis module compares the measured data with the preset standard to determine the abnormal overweight and underweight chickens, and evaluates the uniformity of the distribution of the chicken weight. The type of abnormality is determined based on the uniformity, the measurement time is adjusted, and the abnormal factors are determined based on the egg weight. The correction module corrects the standard weight range based on long-term data to optimize feeding management; however, the above technical solution simply adjusts the feeding feed through the chicken's weight parameters and cannot achieve intelligent and scientific management of feed feeding operations. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In order to solve the problem that the above-mentioned existing chicken house management platform cannot scientifically and comprehensively monitor the breeding environment, feeding amount and growth status of chickens in the chicken house, which increases the safety risks and workload of poultry farming, the above-mentioned dynamic collection of chicken house breeding environment data, breeding characteristic data of farmed chickens, behavioral characteristic image data of farmed chickens and physiological characteristic data of farmed chickens, intelligent analysis of the breeding environment status of the chicken house, precise control of the breeding environment status of the chicken house, scientific measurement of the daily feed feeding amount and the single feed feeding amount of the chicken house, intelligent control of the feed feeding amount of the chicken house, precise monitoring of the health status of farmed chickens, and visual feedback of the real-time management status of the chicken house breeding are achieved.

[0006] (II) Technical solution

[0007] The present invention is implemented by the following technical scheme: an intelligent chicken farming method based on big data, the method comprising the following steps:

[0008] S1, collect chicken house breeding environment characteristic data and analyze and process the chicken house breeding environment status with the chicken house breeding standard environment characteristic data to generate chicken house breeding environment status analysis data; when it is normal, directly execute step S3;

[0009] S2. When it is abnormal, perform chicken house breeding environment status control operation;

[0010] S3, collecting breeding characteristic data of farmed chickens and analyzing and processing the daily feed feeding amount of the chicken house with the standard daily feed feeding amount data of the chicken house, to generate daily feed feeding amount analysis data of the chicken house;

[0011] S4, performing daily single feed feeding amount measurement processing for the chicken house according to the chicken house daily feed feeding amount analysis data and the daily feeding times of the chicken house feed, generating daily single feed feeding amount data for the chicken house and executing the chicken house feed feeding amount control operation;

[0012] S5, collecting behavioral characteristic image data and physiological characteristic data of farmed chickens;

[0013] S6, performing a farmed chicken morbid behavior state recognition process based on the farmed chicken behavior characteristic image data and the farmed chicken morbid behavior characteristic image data to generate farmed chicken morbid behavior recognition data;

[0014] S7, performing identification processing of the morbid physiological characteristic state of farmed chickens according to the physiological characteristic data of farmed chickens and the normal physiological characteristic parameter interval of farmed chickens, and generating morbid physiological state identification data of farmed chickens;

[0015] S8. Construct the real-time status data of the chicken house breeding and execute the real-time status feedback operation of the chicken house breeding.

[0016] Preferably, the chicken house breeding environment characteristic data is collected and the chicken house breeding environment status analysis and processing are performed with the chicken house breeding standard environment characteristic data to generate chicken house breeding environment status analysis data; when it is normal, the operation steps of directly executing step S3 are as follows:

[0017] S11, collect the chicken house environmental characteristic parameters online through the environmental monitoring sensors installed in the chicken house, and generate the chicken house breeding environment characteristic data set A = (a1, ..., a m ,…,a α ), m=1,2,3,…,α; where a m represents the chicken house breeding environment characteristic data corresponding to the mth type of environmental characteristic parameter, α represents the maximum number of environmental characteristic parameter types, and the environmental characteristic parameter types include temperature, humidity and light intensity; the environmental monitoring sensor includes a temperature sensor, a humidity sensor and a light intensity sensor;

[0018] S12, establish the standard environmental characteristic data set of chicken house breeding A'=(a'1,…,a' m ,…,a' α ), where a' m Indicates the standard environmental characteristic data of chicken house breeding corresponding to the mth environmental characteristic parameter type, wherein the standard environmental characteristic data of chicken house breeding indicates the standard environmental characteristic parameters set when the chicken house environment is in a normal state;

[0019] S13, the chicken house breeding environment characteristic data a in the chicken house breeding environment characteristic data set A m The chicken house breeding standard environmental characteristic data a' in the chicken house breeding standard environmental characteristic data set A' m According to the environmental characteristic parameter type keywords, numerical comparison is performed, and the chicken house breeding environment status analysis data set A"=(a"1,...,a" is generated according to the numerical comparison results of the environmental characteristic parameter type keywords. m ,…,a″ α ), where a″ m Indicates the standard environmental characteristic data of chicken house breeding corresponding to the mth environmental characteristic parameter type;

[0020] when a m Equal to a′ m , indicating that the mth environmental characteristic parameter in the chicken house meets the standard requirements, then the standard environmental characteristic data a of the chicken house breeding is output. m is normal, when all the chicken house breeding standard environment characteristic data a″ in the chicken house breeding environment status analysis data set A″ m If all are normal, directly execute step S3;

[0021] when a m Not equal to a′ m , indicating that the mth environmental characteristic parameter in the chicken house meets the standard requirements, then the standard environmental characteristic data a of the chicken house breeding is output. m is abnormal, when the chicken house breeding environment status analysis data set A" contains the chicken house breeding standard environment characteristic data a" m If it is abnormal, directly execute step S2.

[0022] Preferably, when the condition is abnormal, the operating steps for performing the chicken house breeding environment state control operation are as follows:

[0023] S21, when the chicken house breeding environment status analysis data set A" contains the chicken house breeding standard environment characteristic data a" m When it is abnormal, the breeding management platform analyzes the chicken house breeding environment status data a" in the chicken house breeding environment status analysis data set A". mThe environmental characteristic parameters corresponding to the abnormality are uniformly based on the standard environmental characteristic data set A' of the chicken house breeding standard environmental characteristic data set A'. m The environmental conditioning equipment is controlled to perform chicken house breeding environment state regulation operations, and the environmental conditioning equipment includes heating equipment, refrigeration equipment, humidification equipment and lighting equipment.

[0024] Preferably, the steps of collecting the breeding characteristic data of farmed chickens and analyzing and processing the daily feed feeding amount of the chicken house with the standard daily feed feeding amount data of the chicken house to generate the daily feed feeding amount analysis data of the chicken house are as follows:

[0025] S31, obtaining the current growth stage, average weight and quantity text information of individual chickens in the chicken house online through the breeding management platform, and generating breeding characteristic data J of the breeding chickens;

[0026] S32, establish the standard daily feed feeding amount data set B = (b1, ..., b n ,…,b β ), n=1,2,3,…,β; where b n represents the standard daily feed feeding amount data of chicken house farming corresponding to the nth type of farming characteristic parameter combination type, β represents the maximum number of farming characteristic parameter combination types, and the farming characteristic parameter combination type represents an index data type mainly formed by the growth stage information, weight information and quantity information of the farmed chickens for searching the standard daily feed feeding amount of chicken house farming; the standard daily feed feeding amount data of chicken house farming represents the standard daily feed feeding amount parameters of chicken house farming set according to different farming characteristic parameter combination types, b n The unit is kilogram;

[0027] S33, compare the chicken breeding characteristic data J with the chicken house breeding standard daily feed feeding amount data b in the chicken house breeding standard daily feed feeding amount data set B. n Perform character matching of breeding characteristic parameters to search for the standard daily feed feeding amount data b of the chicken house breeding corresponding to the breeding characteristic data J of the breeding chickens n , and generate chicken house daily feed feeding amount analysis data through data identification in The unit is kilogram.

[0028] Preferably, the operation steps of performing daily single feed feeding amount measurement processing for the chicken house according to the chicken house daily feed feeding amount analysis data and the daily feeding number of the chicken house feed, generating daily single feed feeding amount data for the chicken house and executing the chicken house feed feeding amount control operation are as follows:

[0029] S41, analyzing the daily feed feeding amount data of the chicken house The daily feeding frequency I of the chicken house is numerically divided and measured to generate the daily single feed feeding amount data b of the chicken house. danci ,in The daily feeding frequency of the chicken house feed refers to the maximum daily feeding frequency of the feed set based on the growth stage, weight and quantity standards of the chickens raised in the chicken house. danci The unit is kilogram;

[0030] S42, the breeding management platform is based on the daily feeding number I of the chicken house feed and the daily single feed feeding amount data b of the chicken house danci Control the feed feeding device to perform the feed feeding amount control operation in the chicken house.

[0031] Preferably, the operation steps of collecting the behavior characteristic image data and the physiological characteristic data of farmed chickens are as follows:

[0032] S51, collecting real-time behavior status images of farmed chickens in a chicken house online through a camera, and generating behavior characteristic image data P of farmed chickens;

[0033] The physiological characteristic parameters of body temperature and heartbeat of individual chickens in the chicken house are collected online through physiological monitoring sensors, and a physiological characteristic data set of chickens C = (c1,…,c u ,…,c χ ), u=1,2,3,…,χ; where c u represents the physiological characteristic data of farmed chickens corresponding to the u-th type of farmed chicken physiological characteristic type, χ represents the maximum number of farmed chicken physiological characteristic types, the farmed chicken physiological characteristic types include the body temperature physiological characteristic parameters and heartbeat physiological characteristic parameters of farmed chickens; the physiological monitoring sensors include the body temperature detection sensor and the heartbeat detection sensor of farmed chickens.

[0034] Preferably, the steps of performing farmed chicken morbid behavior state recognition processing based on the farmed chicken behavior characteristic image data and the farmed chicken morbid behavior characteristic image data to generate farmed chicken morbid behavior recognition data are as follows:

[0035] S61, establish a set of image data of pathological behavior characteristics of farmed chickens D = (d1, ..., d v ,…,d δ ), v = 1, 2, 3, ..., δ; where d v represents the characteristic image data of farmed chicken morbid behavior corresponding to the vth morbid behavior type, δ represents the maximum number of morbid behavior types, and the morbid behavior types include farmed chickens breathing with open mouth, standing still with head retracted, unable to walk, unstable gait and crooked neck; the characteristic image data of farmed chicken morbid behavior represents the standard behavior characteristic image information corresponding to different types of morbid behaviors of farmed chickens;

[0036] S62, comparing the farmed chicken behavior characteristic image data P with the farmed chicken pathological behavior characteristic image data set D v Perform image feature matching and generate chicken pathological behavior recognition data P based on the image feature matching results zhuangtai ;

[0037] When P and d v The image feature matching is successful, indicating that the chickens in the chicken house have the vth pathological behavior, and the chicken pathological behavior recognition data P is output. zhuangtai The chickens in the chicken house show the vth type of pathological behavior;

[0038] When P and d v If the image features are not matched successfully, it means that the chickens in the chicken house do not show any pathological behavior, then the chicken pathological behavior recognition data P is output. zhuangtai Chickens raised in chicken houses do not show any sick behavior.

[0039] Preferably, the steps of performing identification processing of the morbid physiological characteristic state of farmed chickens according to the physiological characteristic data of farmed chickens and the normal physiological characteristic parameter interval of farmed chickens to generate the morbid physiological state identification data of farmed chickens are as follows:

[0040] S71. Establish a normal physiological characteristic parameter interval set E of farmed chickens = (e1,…,e u ,…,e χ ), where e u represents the normal physiological characteristic parameter interval of farmed chickens corresponding to the u-th type of farmed chicken physiological characteristic, wherein the normal physiological characteristic parameter interval of farmed chickens represents the standard physiological characteristic parameter interval corresponding to different physiological characteristic types of farmed chickens in a healthy state;

[0041] S72, the farmed chicken physiological characteristic data c in the farmed chicken physiological characteristic data set C u According to the keywords of the physiological characteristics of farmed chickens, the normal physiological characteristics parameter intervals e of the farmed chickens in the normal physiological characteristics parameter interval set E of the farmed chickens are ordered. u Perform physiological characteristic parameter comparison, and generate the morbid physiological state identification data set C'=(c'1,…,c' u ,…,c' χ ), where c' u Represents the identification data of the morbid physiological state of farmed chickens corresponding to the u-th type of farmed chicken physiological characteristics;

[0042] When c u ∈e u , indicating that the physiological characteristics of the u-th type of farmed chicken are normal, then the output is the farmed chicken pathological physiological state identification data c′ uis normal;

[0043] when Indicates that the physiological characteristics of the u-th farmed chicken are abnormal, then the farmed chicken pathological physiological state identification data c′ is output u is abnormal.

[0044] Preferably, the operation steps of constructing the real-time status data of chicken house farming and performing the real-time status feedback operation of chicken house farming are as follows:

[0045] S81, obtain the chicken house breeding environment characteristic data set A, the chicken house breeding environment status analysis data set A", the chicken house daily feed feeding amount analysis data set A The daily single feed feeding amount data of the chicken house b danci , the farmed chicken behavior characteristic image data P, the farmed chicken pathological behavior recognition data P zhuangtai , the morbid physiological state identification data set C' of the farmed chickens is combined with data identification to construct the real-time state data G of the chicken house farming, wherein

[0046] S82, the breeding management platform performs the chicken house breeding real-time status feedback operation through the display screen using the chicken house breeding real-time status data G.

[0047] A smart chicken farming system based on big data, used to implement the smart chicken farming method based on big data, the system includes a chicken house environment monitoring module, a chicken house feed feeding monitoring module, a chicken house disease monitoring module, and a chicken house breeding status feedback module;

[0048] The chicken house environment monitoring module includes a chicken house breeding environment parameter collection unit, a chicken house breeding standard environment parameter storage unit, a chicken house breeding environment state analysis unit, and a chicken house breeding environment state control unit;

[0049] The chicken house breeding environment parameter acquisition unit collects chicken house breeding environment characteristic data through environmental monitoring sensors; the chicken house breeding standard environment parameter storage unit is used to store chicken house breeding standard environment characteristic data; the chicken house breeding environment status analysis unit performs chicken house breeding environment status analysis and processing based on the chicken house breeding environment characteristic data and the chicken house breeding standard environment characteristic data to generate chicken house breeding environment status analysis data; the chicken house breeding environment status control unit controls the environment adjustment equipment according to the breeding management platform to perform chicken house breeding environment status regulation operations.

[0050] The chicken house feed feeding supervision module includes a chicken breeding characteristic information collection unit, a chicken house breeding standard daily feed feeding amount storage unit, a chicken house daily feed feeding amount analysis unit, a chicken house feed daily feeding times storage unit, a chicken house single feed feeding amount metering unit, and a chicken house feed feeding amount control unit;

[0051] The chicken breeding characteristic information collection unit collects the breeding characteristic data of the chicken breeding through the breeding management platform; the chicken house breeding standard daily feed feeding amount storage unit is used to store the chicken house breeding standard daily feed feeding amount data; the chicken house daily feed feeding amount analysis unit performs daily feed feeding amount analysis and processing of the chicken house according to the breeding characteristic data of the chicken breeding and the chicken house breeding standard daily feed feeding amount data, and generates the chicken house daily feed feeding amount analysis data; the chicken house feed daily feeding frequency storage unit is used to store the chicken house feed daily feeding frequency; the chicken house single feed feeding amount metering unit performs daily single feed feeding amount metering and processing of the chicken house according to the chicken house daily feed feeding amount analysis data and the chicken house feed daily feeding frequency, and generates the chicken house daily single feed feeding amount data; the chicken house feed feeding amount control unit controls the feed feeding device according to the breeding management platform to perform the chicken house feed feeding amount control operation;

[0052] The chicken house disease supervision module includes a chicken behavior feature image acquisition unit, a chicken physiological feature parameter acquisition unit, a chicken morbid behavior feature image storage unit, a chicken morbid behavior recognition unit, a chicken normal physiological feature parameter storage unit, and a chicken morbid physiological state recognition unit.

[0053] The farmed chicken behavior characteristic image acquisition unit acquires farmed chicken behavior characteristic image data through a camera; the farmed chicken physiological characteristic parameter acquisition unit acquires farmed chicken physiological characteristic data through a physiological detection sensor; the farmed chicken morbid behavior characteristic image storage unit is used to store morbid behavior characteristic image data of farmed chickens; the farmed chicken morbid behavior identification unit performs farmed chicken morbid behavior state identification processing based on the farmed chicken behavior characteristic image data and the farmed chicken morbid behavior characteristic image data to generate farmed chicken morbid behavior identification data; the farmed chicken normal physiological characteristic parameter storage unit is used to store farmed chicken normal physiological characteristic parameter intervals; the farmed chicken morbid physiological state identification unit performs farmed chicken morbid physiological characteristic state identification processing based on the farmed chicken physiological characteristic data and the farmed chicken normal physiological characteristic parameter intervals to generate farmed chicken morbid physiological state identification data;

[0054] The chicken house breeding state feedback module includes a chicken house breeding real-time state information construction unit and a chicken house breeding state feedback unit;

[0055] The chicken house breeding real-time status information construction unit is used to construct the chicken house breeding real-time status data; the chicken house breeding status feedback unit performs the chicken house breeding real-time status feedback operation according to the breeding management platform and the display screen.

[0056] (III) Beneficial effects

[0057] The present invention provides an intelligent chicken farming system and method based on big data, which has the following beneficial effects:

[0058] 1. Dynamically collect the characteristic parameters of the chicken house breeding environment online through environmental monitoring sensors to provide reliable data support for scientific and efficient regulation of the chicken house breeding environment; intelligently analyze the abnormal status of different environmental characteristic parameters in the chicken house based on numerical analysis, and combine the breeding management platform to accurately control different environmental adjustment equipment to perform chicken house breeding environment regulation operations, ensuring the cleanliness and hygiene of the chicken house breeding environment and improving the intelligence and safety of the regulation of the chicken house breeding environment.

[0059] 2. Through the breeding management platform, it is convenient and accurate to obtain the characteristic parameters of breeding chickens, combine data analysis with the standard daily feed feeding amount parameters of chicken house breeding, and conduct efficient and reliable analysis of the daily feed feeding amount of the chicken house, so as to achieve comprehensive and accurate measurement of the daily feed feeding amount of the chicken house based on the growth stage, weight and number of chicken house breeding, and realize the standardized and scientific control of the chicken house feed feeding control. According to the daily feed feeding amount analysis parameters of the chicken house, combined with numerical analysis and the number of daily feeding times of the chicken house feed, the daily single feed feeding amount of the chicken house is dynamically measured. At the same time, combined with the breeding management platform, the feed feeding device is controlled to independently and reliably execute the chicken house feed feeding amount operation, so as to achieve accurate feeding of chicken house feed and improve the convenience and reliability of feed feeding management of chicken house breeding.

[0060] 3. Through cameras and physiological detection sensors, accurate online collection of behavioral characteristic images and physiological characteristic parameters of farmed chickens is achieved; based on the behavioral characteristic image parameters of farmed chickens combined with image analysis and pathological behavioral characteristic image parameters of farmed chickens, intelligent identification of pathological behavioral status of farmed chickens is performed to achieve intelligent monitoring of pathological appearance behavior of farmed chickens in chicken houses; based on the physiological characteristic parameters of farmed chickens combined with numerical analysis and the range of normal physiological characteristic parameters of farmed chickens, accurate diagnosis of abnormal pathological physiological characteristic status of farmed chickens is performed to achieve reliable monitoring of physiological characteristic pathologies of farmed chickens in chicken houses; visual monitoring of the environmental status of the chicken house, the feeding status of the chicken house and the growth status of the chickens in the chicken house is achieved to improve the quality and economy of chicken house farming. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 A schematic diagram of a module of an intelligent chicken farming system based on big data provided by the present invention;

[0062] Figure 2A flow chart of an intelligent chicken farming method based on big data provided by the present invention. DETAILED DESCRIPTION

[0063] 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.

[0064] The embodiment of the intelligent chicken farming system and method based on big data is as follows:

[0065] Embodiment 1:

[0066] See also Figure 1 - Figure 2 , an intelligent chicken farming method based on big data, the method comprising the following steps:

[0067] S1, collect chicken house breeding environment characteristic data and analyze and process the chicken house breeding environment status with the chicken house breeding standard environment characteristic data to generate chicken house breeding environment status analysis data; when it is normal, directly execute step S3;

[0068] S2. When it is abnormal, perform chicken house breeding environment status control operation;

[0069] S3, collecting breeding characteristic data of farmed chickens and analyzing and processing the daily feed feeding amount of the chicken house with the standard daily feed feeding amount data of the chicken house, to generate daily feed feeding amount analysis data of the chicken house;

[0070] S4, according to the daily feed feeding amount analysis data of the chicken house and the daily feeding frequency of the chicken house feed, the daily single feed feeding amount of the chicken house is measured and processed, the daily single feed feeding amount data of the chicken house is generated, and the chicken house feed feeding amount control operation is executed;

[0071] S5, collecting behavioral characteristic image data and physiological characteristic data of farmed chickens;

[0072] S6, performing a recognition process of the morbid behavior state of farmed chickens based on the farmed chicken behavior characteristic image data and the farmed chicken morbid behavior characteristic image data to generate farmed chicken morbid behavior recognition data;

[0073] S7, performing identification processing of the morbid physiological characteristic state of farmed chickens according to the physiological characteristic data of farmed chickens and the normal physiological characteristic parameter interval of farmed chickens, and generating morbid physiological state identification data of farmed chickens;

[0074] S8. Construct the real-time status data of the chicken house breeding and execute the real-time status feedback operation of the chicken house breeding.

[0075] For further information, see Figure 1 - Figure 2 , collect the chicken house breeding environment characteristic data and analyze the chicken house breeding environment status with the chicken house breeding standard environment characteristic data to generate chicken house breeding environment status analysis data; when it is normal, directly execute the operation steps of step S3 as follows:

[0076] S11, collect the chicken house environmental characteristic parameters online through the environmental monitoring sensors installed in the chicken house, and generate the chicken house breeding environment characteristic data set A = (a1, ..., a m ,…,a α ), m=1,2,3,…,α; where a m represents the chicken house breeding environment characteristic data corresponding to the mth type of environmental characteristic parameter, α represents the maximum number of environmental characteristic parameter types, and the environmental characteristic parameter types include temperature, humidity and light intensity; the environmental monitoring sensor includes a temperature sensor, a humidity sensor and a light intensity sensor;

[0077] S12, establish the standard environmental characteristic data set of chicken house breeding A'=(a'1,…,a' m ,…,a' α ), where a' m Indicates the standard environmental characteristic data of chicken house breeding corresponding to the mth environmental characteristic parameter type, where the standard environmental characteristic data of chicken house breeding indicates the standard environmental characteristic parameters set when the chicken house environment is in a normal state;

[0078] S13, the chicken house breeding environment characteristic data a in the chicken house breeding environment characteristic data set A m The standard environmental characteristic data set A' of the chicken house breeding standard environmental characteristic data set a' m Perform numerical comparison according to the keywords of environmental characteristic parameter types, and generate the chicken house breeding environment status analysis data set A”=(a″1,…,a” m ,…,a” α ), where a” m Indicates the standard environmental characteristic data of chicken house breeding corresponding to the mth environmental characteristic parameter type;

[0079] when a m Equal to a′ m , indicating that the mth environmental characteristic parameter in the chicken house meets the standard requirements, then the standard environmental characteristic data a of the chicken house breeding is output. m is normal, when all the chicken house breeding standard environmental characteristic data a″ in the chicken house breeding environmental status analysis data set A″ m If all are normal, directly execute step S3;

[0080] when a m Not equal to a′ m , indicating that the mth environmental characteristic parameter in the chicken house meets the standard requirements, then the standard environmental characteristic data a of the chicken house breeding is output. m It is abnormal when the chicken house breeding environment status analysis data set A” contains chicken house breeding standard environment characteristic data a″ m If it is abnormal, directly execute step S2.

[0081] When it is abnormal, the operating steps for performing chicken house breeding environment status control operation are as follows:

[0082] S21, when the chicken house breeding environment status analysis data set A" contains chicken house breeding standard environment characteristic data a" m When it is abnormal, the breeding management platform analyzes the chicken house breeding environment status data a in the chicken house breeding environment status analysis data set A” m The environmental characteristic parameters corresponding to the abnormality are unified according to the standard environmental characteristic data set A' of the chicken house breeding standard environmental characteristic data a' m The environmental control equipment is used to control the state of the chicken house environment. The environmental control equipment includes heating equipment, refrigeration equipment, humidification equipment and lighting equipment.

[0083] Through the chicken house breeding environment parameter collection unit, environmental monitoring sensors are used to dynamically collect the characteristic parameters of the chicken house breeding environment online, providing reliable data support for the scientific and efficient regulation of the chicken house breeding environment; the chicken house breeding environment status analysis unit and the chicken house breeding environment status control unit cooperate with each other, and intelligently analyze the abnormal status of different environmental characteristic parameters in the chicken house based on numerical analysis, and combine the breeding management platform to accurately control different environmental adjustment equipment to perform chicken house breeding environment regulation operations, ensuring the cleanliness and hygiene of the chicken house breeding environment and improving the intelligence and safety of the regulation of the chicken house breeding environment.

[0084] For further information, see Figure 1 - Figure 2 , collect the breeding characteristic data of farmed chickens and analyze the daily feed feeding amount of the chicken house with the standard daily feed feeding amount data of the chicken house. The operating steps for generating the daily feed feeding amount analysis data of the chicken house are as follows:

[0085] S31, obtaining the current growth stage, average weight and quantity text information of individual chickens in the chicken house online through the breeding management platform, and generating breeding characteristic data J of the breeding chickens;

[0086] S32, establish the standard daily feed feeding amount data set B = (b1, ..., b n ,…,b β ), n=1,2,3,…,β; where b nrepresents the standard daily feed feeding amount data of chicken house farming corresponding to the nth type of farming characteristic parameter combination type, β represents the maximum number of farming characteristic parameter combination types, and the farming characteristic parameter combination type represents the index data type mainly formed by the growth stage information, weight information and quantity information of the farmed chickens for searching the standard daily feed feeding amount of chicken house farming; the standard daily feed feeding amount data of chicken house farming represents the standard daily feed feeding amount parameters of chicken house farming set according to different farming characteristic parameter combination types, b n The unit is kilogram;

[0087] S33, the breeding chicken breeding characteristic data J and the standard daily feed feeding amount data b of the chicken house breeding standard daily feed feeding amount data set B are combined. n Perform character matching of breeding characteristic parameters to search for the standard daily feed feeding amount data b of the chicken house breeding corresponding to the breeding characteristic data J of the breeding chicken n , and generate chicken house daily feed feeding amount analysis data through data identification in The unit is kilogram.

[0088] The following are the steps to measure the daily single feed feeding amount of the chicken house according to the daily feed feeding amount analysis data and the daily feeding frequency of the chicken house, generate the daily single feed feeding amount data of the chicken house and execute the chicken house feed feeding amount control operation:

[0089] S41. Analyze the daily feed feeding amount of the chicken house The daily feeding frequency I of the chicken house is numerically divided and measured to generate the daily single feed feeding amount data b of the chicken house. danci ,in The daily feeding frequency of chicken house feed refers to the maximum daily feeding frequency set based on the growth stage, weight and quantity standards of chickens raised in the chicken house. danci The unit is kilogram;

[0090] S42, the breeding management platform is based on the daily feeding number I of the chicken house and the daily single feed feeding amount data b of the chicken house danci Control the feed feeding device to perform the feed feeding amount control operation in the chicken house.

[0091] Through the cooperation of the breeding characteristic information collection unit and the daily feed feeding amount analysis unit of the chicken house, the breeding management platform is used to conveniently and accurately obtain the breeding characteristic parameters of breeding chickens, and combine data analysis with the standard daily feed feeding amount parameters of the chicken house to perform efficient and reliable analysis of the daily feed feeding amount of the chicken house, so as to achieve comprehensive and accurate measurement of the daily feed feeding amount of the chicken house based on the growth stage, weight and number of chicken house breeding, and realize standardized and scientific control of the feed feeding control of the chicken house. The chicken house single feed feeding amount metering unit and the chicken house feed feeding amount control unit dynamically measure the daily single feed feeding amount of the chicken house according to the daily feed feeding amount analysis parameters of the chicken house combined with numerical analysis and the daily feeding times of the chicken house feed. At the same time, combined with the breeding management platform, the feed feeding device is controlled to independently and reliably perform the chicken house feed feeding amount operation, so as to achieve accurate feeding of chicken house feed and improve the convenience and reliability of feed feeding management of chicken house breeding.

[0092] For further information, see Figure 1 - Figure 2 The operation steps for collecting the behavioral characteristic image data and the physiological characteristic data of farmed chickens are as follows:

[0093] S51, collecting real-time behavior status images of farmed chickens in a chicken house online through a camera, and generating behavior characteristic image data P of farmed chickens;

[0094] The physiological characteristic parameters of body temperature and heartbeat of individual chickens in the chicken house are collected online through physiological monitoring sensors, and a physiological characteristic data set of chickens C = (c1,…,c u ,…,c χ ), u=1,2,3,…,χ; where c u represents the physiological characteristic data of farmed chickens corresponding to the u-th type of farmed chicken physiological characteristic type, χ represents the maximum number of farmed chicken physiological characteristic types, the farmed chicken physiological characteristic types include the body temperature physiological characteristic parameters and heartbeat physiological characteristic parameters of farmed chickens; the physiological monitoring sensors include the body temperature detection sensor and the heartbeat detection sensor of farmed chickens.

[0095] Based on the behavior characteristic image data of farmed chickens and the morbid behavior characteristic image data of farmed chickens, the morbid behavior state of farmed chickens is identified and processed, and the operation steps for generating morbid behavior identification data of farmed chickens are as follows:

[0096] S61, establish a set of image data of pathological behavior characteristics of farmed chickens D = (d1, ..., d v ,…,d δ ), v = 1, 2, 3, ..., δ; where d vrepresents the characteristic image data of farmed chicken morbid behavior corresponding to the vth morbid behavior type, δ represents the maximum number of morbid behavior types, and the morbid behavior types include farmed chickens breathing with open mouth, standing still with head retracted, unable to walk, unstable gait and crooked neck; the characteristic image data of farmed chicken morbid behavior represents the standard behavior characteristic image information corresponding to different types of morbid behaviors of farmed chickens;

[0097] S62, compare the farmed chicken behavior characteristic image data P with the farmed chicken pathological behavior characteristic image data set D v Perform image feature matching and generate chicken pathological behavior recognition data P based on the image feature matching results zhuangtai ;

[0098] When P and d v The image feature matching is successful, indicating that the chickens in the chicken house have the vth pathological behavior, and the chicken pathological behavior recognition data P is output. zhuangtai The chickens in the chicken house show the vth type of pathological behavior;

[0099] When P and d v If the image features are not matched successfully, it means that the chickens in the chicken house do not show any pathological behavior, then the chicken pathological behavior recognition data P is output. zhuangtai Chickens raised in chicken houses do not show any sick behavior.

[0100] According to the physiological characteristic data of farmed chickens and the parameter interval of normal physiological characteristics of farmed chickens, the morbid physiological characteristic state of farmed chickens is identified and processed, and the operation steps of generating morbid physiological state identification data of farmed chickens are as follows:

[0101] S71. Establish a normal physiological characteristic parameter interval set E of farmed chickens = (e1,…,e u ,…,e χ ), where e u represents the normal physiological characteristic parameter interval of farmed chickens corresponding to the u-th type of farmed chicken physiological characteristic, and the normal physiological characteristic parameter interval of farmed chickens represents the standard physiological characteristic parameter interval corresponding to different physiological characteristic types of farmed chickens in a healthy state;

[0102] S72, the farmed chicken physiological characteristic data c in the farmed chicken physiological characteristic data set C u According to the keywords of the physiological characteristics of farmed chickens, the normal physiological characteristics parameter intervals of farmed chickens in the set E of normal physiological characteristics parameter intervals of farmed chickens are sorted and compared. u Perform physiological characteristic parameter comparison, and generate the morbid physiological state identification data set C'=(c'1,…,c' u ,...,c' χ ), where c' uRepresents the identification data of the morbid physiological state of farmed chickens corresponding to the u-th type of farmed chicken physiological characteristics;

[0103] When c u ∈e u , indicating that the physiological characteristics of the u-th type of farmed chicken are normal, then the output is the farmed chicken pathological physiological state identification data c′ u is normal;

[0104] when Indicates that the physiological characteristics of the u-th farmed chicken are abnormal, then the farmed chicken pathological physiological state identification data c′ is output u is abnormal.

[0105] The steps to construct the real-time status data of chicken house farming and perform the real-time status feedback operation of chicken house farming are as follows:

[0106] S81, obtain chicken house breeding environment characteristic data set A, chicken house breeding environment status analysis data set A", chicken house daily feed feeding amount analysis data Daily single feed feeding amount data for chicken houses danci , farmed chicken behavior feature image data P, farmed chicken pathological behavior recognition data P zhuangtai , the morbid physiological state identification data set C' of farmed chickens and the real-time state data G of chicken house farming are constructed through data identification combination, where

[0107] S82. The breeding management platform transmits the real-time status data G of the chicken house breeding through the display screen to perform the real-time status feedback operation of the chicken house breeding.

[0108] Through the cooperation of the chicken behavior characteristic image acquisition unit and the chicken physiological characteristic parameter acquisition unit, cameras and physiological detection sensors are used to realize the accurate online acquisition of chicken behavior characteristic images and chicken physiological characteristic parameters; the chicken morbid behavior recognition unit intelligently recognizes the morbid behavior state of chickens based on the chicken behavior characteristic image parameters combined with image analysis and the chicken morbid behavior characteristic image parameters, and realizes the intelligent monitoring of the morbid appearance behavior of chickens in the chicken house; the chicken morbid physiological state recognition unit accurately diagnoses the abnormal morbid physiological characteristic state of chickens based on the chicken physiological characteristic parameters combined with numerical analysis and the normal physiological characteristic parameter interval of chickens, and realizes the reliable monitoring of the morbid physiological characteristics of chickens in the chicken house; the chicken house breeding real-time status information construction unit and the chicken house breeding status feedback unit cooperate with each other to realize the visual monitoring of the chicken house environment status, chicken house feeding status and chicken house growth status, and improve the quality and economy of chicken house breeding.

[0109] Embodiment 2:

[0110] See also Figure 1 - Figure 2 , an intelligent chicken farming system based on big data, used to realize an intelligent chicken farming method based on big data, the system includes a chicken house environment monitoring module, a chicken house feed feeding monitoring module, a chicken house disease monitoring module, and a chicken house breeding status feedback module;

[0111] The chicken house environment monitoring module includes a chicken house breeding environment parameter collection unit, a chicken house breeding standard environment parameter storage unit, a chicken house breeding environment status analysis unit, and a chicken house breeding environment status control unit;

[0112] The chicken house breeding environment parameter collection unit collects the chicken house breeding environment characteristic data through the environmental monitoring sensor; the chicken house breeding standard environment parameter storage unit is used to store the chicken house breeding standard environment characteristic data; the chicken house breeding environment state analysis unit analyzes and processes the chicken house breeding environment state based on the chicken house breeding environment characteristic data and the chicken house breeding standard environment characteristic data to generate the chicken house breeding environment state analysis data; the chicken house breeding environment state control unit controls the environment adjustment equipment according to the breeding management platform to perform the chicken house breeding environment state regulation operation.

[0113] The chicken house feed feeding supervision module includes a chicken breeding characteristic information collection unit, a chicken house breeding standard daily feed feeding amount storage unit, a chicken house daily feed feeding amount analysis unit, a chicken house feed daily feeding times storage unit, a chicken house single feed feeding amount metering unit, and a chicken house feed feeding amount control unit;

[0114] A chicken breeding characteristic information collection unit collects breeding characteristic data of chickens through a breeding management platform; a chicken house breeding standard daily feed feeding amount storage unit is used to store chicken house breeding standard daily feed feeding amount data; a chicken house daily feed feeding amount analysis unit performs daily feed feeding amount analysis and processing of the chicken house based on the breeding characteristic data of chickens and the chicken house breeding standard daily feed feeding amount data, and generates chicken house daily feed feeding amount analysis data; a chicken house feed daily feeding frequency storage unit is used to store the chicken house feed daily feeding frequency; a chicken house single feed feeding amount metering unit performs daily single feed feeding amount metering and processing of the chicken house based on the chicken house daily feed feeding amount analysis data and the chicken house feed daily feeding frequency, and generates daily single feed feeding amount data of the chicken house; a chicken house feed feeding amount control unit controls the feed feeding device according to the breeding management platform to perform chicken house feed feeding amount control operations;

[0115] The chicken house disease monitoring module includes a chicken behavior characteristic image acquisition unit, a chicken physiological characteristic parameter acquisition unit, a chicken morbid behavior characteristic image storage unit, a chicken morbid behavior recognition unit, a chicken normal physiological characteristic parameter storage unit, and a chicken morbid physiological state recognition unit;

[0116] A farmed chicken behavior characteristic image acquisition unit, which collects farmed chicken behavior characteristic image data through a camera; a farmed chicken physiological characteristic parameter acquisition unit, which collects farmed chicken physiological characteristic data through a physiological detection sensor; a farmed chicken morbid behavior characteristic image storage unit, which is used to store farmed chicken morbid behavior characteristic image data; a farmed chicken morbid behavior recognition unit, which performs farmed chicken morbid behavior state recognition processing based on farmed chicken behavior characteristic image data and farmed chicken morbid behavior characteristic image data, and generates farmed chicken morbid behavior recognition data; a farmed chicken normal physiological characteristic parameter storage unit, which is used to store farmed chicken normal physiological characteristic parameter intervals; a farmed chicken morbid physiological state recognition unit, which performs farmed chicken morbid physiological characteristic state recognition processing based on farmed chicken physiological characteristic data and farmed chicken normal physiological characteristic parameter intervals, and generates farmed chicken morbid physiological state recognition data;

[0117] The chicken house breeding status feedback module includes a chicken house breeding real-time status information construction unit and a chicken house breeding status feedback unit;

[0118] The chicken house breeding real-time status information construction unit is used to construct the chicken house breeding real-time status data; the chicken house breeding status feedback unit performs the chicken house breeding real-time status feedback operation based on the breeding management platform and the display screen.

[0119] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent chicken farming method based on big data, characterized in that: The method comprises the following steps: S1, collect chicken house breeding environment characteristic data and analyze and process the chicken house breeding environment status with the chicken house breeding standard environment characteristic data to generate chicken house breeding environment status analysis data; when it is normal, directly execute step S3; S2. When it is abnormal, perform chicken house breeding environment status control operation; S3, collecting breeding characteristic data of farmed chickens and analyzing and processing the daily feed feeding amount of the chicken house with the standard daily feed feeding amount data of the chicken house, to generate daily feed feeding amount analysis data of the chicken house; S4, performing daily single feed feeding amount measurement processing for the chicken house according to the chicken house daily feed feeding amount analysis data and the daily feeding times of the chicken house feed, generating daily single feed feeding amount data for the chicken house and executing the chicken house feed feeding amount control operation; S5, collecting behavioral characteristic image data and physiological characteristic data of farmed chickens; S6, performing a farmed chicken morbid behavior state recognition process based on the farmed chicken behavior characteristic image data and the farmed chicken morbid behavior characteristic image data to generate farmed chicken morbid behavior recognition data; S7, performing a morbid physiological characteristic state identification process of farmed chickens according to the farmed chicken physiological characteristic data and the normal physiological characteristic parameter interval of farmed chickens to generate morbid physiological state identification data of farmed chickens; S8. Construct the real-time status data of the chicken house breeding and execute the real-time status feedback operation of the chicken house breeding.

2. The intelligent chicken farming method based on big data according to claim 1 is characterized in that: The S1 comprises the following steps: S11, collect the chicken house environmental characteristic parameters online through the environmental monitoring sensors installed in the chicken house, and generate the chicken house breeding environment characteristic data set A = (a1, ..., a m ,…,a α ), m=1,2,3,…,α; where a m represents the chicken house breeding environment characteristic data corresponding to the mth type of environmental characteristic parameter, and α represents the maximum number of environmental characteristic parameter types; S12, establish the standard environmental characteristic data set of chicken house breeding A'=(a'1,…,a' m ,…,a' α ), where a' m Indicates the standard environmental characteristic data of chicken house breeding corresponding to the mth environmental characteristic parameter type; S13, the a in A m and the a' in the m Perform numerical comparison according to the keywords of environmental characteristic parameter types, and generate the chicken house breeding environment status analysis data set A”=(a″1,…,a” m ,…,a” α ), where a” m Indicates the standard environmental characteristic data of chicken house breeding corresponding to the mth environmental characteristic parameter type; when a m Equal to a' m , indicating that the mth environmental characteristic parameter in the chicken house meets the standard requirements, when all the a" in A" m If all are normal, directly execute step S3; when a m Not equal to a' m , then output the standard environmental characteristic data of chicken house breeding a" m is abnormal, when the a" exists in the A" m If it is abnormal, directly execute step S2.

3. The intelligent chicken farming method based on big data according to claim 2 is characterized in that: The S2 comprises the following steps: S21, when the a" exists in the A" m When it is abnormal, the breeding management platform will m The environmental characteristic parameters corresponding to the anomaly are uniformly calculated according to a' in A' m The control environment regulating equipment performs the chicken house breeding environment status regulation operation.

4. The intelligent chicken farming method based on big data according to claim 3 is characterized in that: The S3 comprises the following steps: S31, obtaining the current growth stage, average weight and quantity text information of individual chickens in the chicken house online through the breeding management platform, and generating breeding characteristic data J of the breeding chickens; S32, establish the standard daily feed feeding amount data set B = (b1, ..., b n ,…,b β ), n=1,2,3,…,β; where b n represents the standard daily feed feeding amount data of chicken house farming corresponding to the nth combination type of farming characteristic parameters, β represents the maximum number of farming characteristic parameter combination types, b n The unit is kilogram; S33, combining the J with the b in the B n Perform character matching of breeding characteristic parameters to search for the b corresponding to the J n , and generated through data identification in The unit is kilogram.

5. The intelligent chicken farming method based on big data according to claim 4 is characterized in that: The S4 comprises the following steps: S41, the The daily feeding frequency I of the chicken house is numerically divided and measured to generate the daily single feed feeding amount data b of the chicken house. danci ,in b danci The unit is kilogram; S42, the breeding management platform is based on the above I and b danci Control the feed feeding device to perform the feed feeding amount control operation in the chicken house.

6. The intelligent chicken farming method based on big data according to claim 5 is characterized in that: The S5 comprises the following steps: S51, collecting real-time behavior status images of farmed chickens in a chicken house online through a camera, and generating behavior characteristic image data P of farmed chickens; The physiological characteristic parameters of body temperature and heartbeat of individual chickens in the chicken house are collected online through physiological monitoring sensors, and a physiological characteristic data set of chickens C = (c1,…,c u ,…,c χ ), u=1,2,3,…,χ; where c u represents the physiological characteristic data of farmed chickens corresponding to the u-th type of farmed chicken physiological characteristic, and χ represents the maximum number of farmed chicken physiological characteristic types.

7. The intelligent chicken farming method based on big data according to claim 6 is characterized in that: The S6 comprises the following steps: S61, establish a set of image data of pathological behavior characteristics of farmed chickens D = (d1, ..., d v ,…,d δ ), v = 1, 2, 3, ..., δ; where d v represents the characteristic image data of the morbid behavior of farmed chickens corresponding to the vth morbid behavior type, and δ represents the maximum number of morbid behavior types; S62, compare the P with the d in the D v Perform image feature matching and generate chicken pathological behavior recognition data P based on the image feature matching results zhuangtai ; When P and d v If the image feature matching is successful, the chicken pathological behavior recognition data P is output. zhuangtai The chickens in the chicken house show the vth type of pathological behavior; When P and d v If the image features are not matched successfully, the chicken pathological behavior recognition data P is output. zhuangtai Chickens raised in chicken houses do not show any sick behavior.

8. The intelligent chicken farming method based on big data according to claim 7 is characterized in that: The S7 comprises the following steps: S71. Establish a normal physiological characteristic parameter interval set E of farmed chickens = (e1,…,e u ,…,e χ ), where e u Indicates the normal physiological characteristic parameter interval of farmed chickens corresponding to the u-th type of farmed chicken physiological characteristic; S72, the c in the C u According to the physiological characteristics of farmed chickens, the keywords are sorted and described in E u Perform physiological characteristic parameter comparison, and generate the morbid physiological state identification data set C'=(c'1,…,c' u ,…,c' χ ), where c' u Represents the identification data of the morbid physiological state of farmed chickens corresponding to the u-th type of farmed chicken physiological characteristics; When c u ∈e u , then output the identification data c′ of the morbid physiological state of farmed chickens u is normal; when Then output the identification data c′ of the morbid physiological state of farmed chickens u is abnormal.

9. The intelligent chicken farming method based on big data according to claim 8, characterized in that: The S8 comprises the following steps: S81, obtaining the A, the A”, the The b danci 、The P、The P zhuangtai , the C' is combined with data identifiers to construct the chicken house breeding real-time status data G; S82, the breeding management platform performs the chicken house breeding real-time status feedback operation through the display screen.

10. An intelligent chicken farming system based on big data, used to implement an intelligent chicken farming method based on big data as described in any one of claims 1 to 8, characterized in that: The system includes a chicken house environment monitoring module, a chicken house feed feeding monitoring module, a chicken house disease monitoring module, and a chicken house breeding status feedback module.

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