CN118135500B

CN118135500B - Intelligent monitoring platform and monitoring method for livestock breeding

Info

Publication number: CN118135500B
Application number: CN202410571778.1A
Authority: CN
Inventors: 薛素金; 刘宗宁; 张忠杰; 周宝灵; 吴炳凯; 徐少华
Original assignee: Xiamen Nongxin Digital Technology Co ltd
Current assignee: Xiamen Nongxin Digital Technology Co ltd
Filing date: 2024-05-10
Publication date: 2024-07-09
Anticipated expiration: 2044-05-10

Abstract

The application relates to the field of livestock breeding, in particular to an intelligent monitoring platform and a monitoring method for livestock breeding. The method comprises the following steps: the monitoring equipment is controlled to monitor the livestock and poultry houses in real time to acquire images of the livestock and poultry houses and information of the livestock and poultry houses; extracting features of the livestock and poultry house image to obtain livestock and poultry features; analyzing the characteristics of the livestock and poultry, and judging whether the livestock and poultry have abnormal postures according to analysis results; if the abnormal gesture exists, analyzing the livestock and poultry housing environment according to the livestock and poultry housing image, and judging whether the abnormal gesture of the livestock and poultry occurs due to the external reason according to the analysis result; if the external reason exists, a solution is formulated according to the external reason, so that a worker can exclude the external reason according to the solution. The method realizes the rapid discovery and treatment of the abnormal postures of the livestock and poultry through real-time monitoring, automatic analysis and intelligent early warning, and provides powerful support for the healthy development of the livestock and poultry breeding industry.

Description

Intelligent monitoring platform and monitoring method for livestock breeding

Technical Field

The application relates to the field of livestock breeding, in particular to an intelligent monitoring platform and a monitoring method for livestock breeding.

Background

The livestock breeding industry is an important component of agricultural production, can increase income of farmers, provides meat food for people living and provides raw materials for food industry, and is a very important industry; therefore, monitoring livestock and poultry to promote healthy growth of the livestock and poultry is an important part of livestock and poultry breeding work;

In the prior art, the health condition of the livestock is generally monitored by adopting a manual monitoring mode, however, the manual monitoring has a plurality of defects, for example, the manual monitoring usually needs to consume a great deal of manpower and time, and particularly in a large livestock farm, the health condition of each livestock is checked one by one, which is a very heavy work; not only affects the working efficiency, but also may cause monitor omission and delay; meanwhile, manual monitoring often depends on experience and subjective judgment of monitoring staff, which may lead to inconsistency and error of monitoring results; different monitoring staff may have differences in judging the health condition of the livestock and poultry, thereby affecting the accuracy of monitoring and needing improvement.

Disclosure of Invention

The application provides an intelligent monitoring platform and a monitoring method for livestock breeding, which are used for solving the problems of manual monitoring, low working efficiency and easy occurrence of omission and delay of monitoring in the prior art.

In a first aspect, the application provides an intelligent monitoring method for livestock breeding, comprising the following steps:

The monitoring equipment is controlled to monitor the livestock and poultry houses in real time to acquire images of the livestock and poultry houses and information of the livestock and poultry houses; extracting features of the livestock and poultry house image to obtain livestock and poultry features; analyzing the characteristics of the livestock and poultry, and judging whether the livestock and poultry have abnormal postures according to analysis results;

If the abnormal gesture exists, analyzing the livestock and poultry housing environment according to the livestock and poultry housing image, and judging whether the abnormal gesture of the livestock and poultry occurs due to the external reason according to an analysis result;

If the external reason exists, a solution is formulated according to the external reason, so that a worker can exclude the external reason according to the solution;

if no external cause exists, determining that an abnormal gesture of the livestock and poultry is caused by the internal cause, analyzing the abnormal gesture, determining the cause of the abnormal gesture, and formulating a solution according to the cause of the abnormal gesture so as to enable staff to exclude the internal cause according to the solution.

The technical scheme has the following advantages: based on the real-time monitoring of the images and environmental information of the livestock and poultry houses, the abnormal gestures of the livestock and poultry can be found in time and early-warned, so that omission and untimely manual inspection are avoided; in addition, whether the livestock and poultry have abnormal postures or not can be judged, the reasons of the abnormal postures can be further analyzed, corresponding solutions can be provided no matter external factors or internal factors, and the pertinence and the efficiency of problem processing are improved; therefore, through real-time monitoring, automatic analysis and intelligent early warning, the abnormal postures of the livestock and poultry are quickly found and processed, and powerful support is provided for the healthy development of the livestock and poultry breeding industry.

Optionally, the analyzing the characteristics of the livestock and poultry, and judging whether the livestock and poultry have abnormal postures according to the analysis result includes:

determining the tail root position and the tail end position of the livestock and poultry according to the characteristics of the livestock and poultry;

taking the direction from the root position of the tail to the ground as An axis, the tail root position is parallel to the groundA shaft, establishing a coordinate system; setting the tail root position as an origin;

Based on an image recognition technology, recording coordinates of each point of the tail end position in a fixed time period according to the coordinate system;

Determining the swing amplitude of the tail of the livestock and poultry according to the coordinates of each point of the tail end position in the fixed time period;

comparing the swing amplitude with a preset swing amplitude, and if the swing amplitude is smaller than the preset swing amplitude, determining that the livestock and poultry have abnormal postures.

The technical scheme has the following advantages: based on the detailed analysis of the tail swing amplitude of the livestock and poultry, whether the livestock and poultry have abnormal postures can be judged more accurately, and the possibility of misjudgment and missed judgment is reduced; meanwhile, the tail is used as a part of the body of the livestock and poultry, and the swing amplitude of the tail can reflect the health condition and the emotion state of the livestock and poultry; through analysis of the swing amplitude, the fine change of the livestock and poultry posture can be sensitively captured, and the potential problem can be found timely.

Optionally, the determining of the swing amplitude includes:

obtaining the coordinates of a plurality of recording points according to the coordinates of each point of the tail end position in the fixed time period ,)；

According to the coordinates of the recorded points,) Determining the straight line distance from the recording point to the originReference is made in particular to the following formula:

；

wherein, Representing the straight line distance of the recorded point to the origin,The abscissa of the recorded point is indicated,Representing the ordinate of the recorded point; Representing the i-th recording point;

according to the straight distance Calculating the straight line distance from each recording point to the original point to obtain a distance data set;

obtaining a maximum value and a minimum value of the linear distance by comparing all the distance data in the data set;

according to the maximum value and the minimum value of the linear distance, the swing amplitude is determined, and the following formula is specifically referred to:

；

wherein, The amplitude of the wobble is indicated,The maximum value of the straight-line distance is indicated,Representing the minimum value of the straight line distance.

The technical scheme has the following advantages: by accurately calculating the maximum value and the minimum value of the tail swing amplitude, whether the livestock and poultry have abnormal postures can be more accurately judged, and the possibility of misjudgment is reduced; the calculation is carried out based on a mathematical formula, so that the interference of human factors is avoided, and the objectivity of judgment is improved; therefore, the health condition of the livestock can be accurately judged by accurately calculating the swing amplitude of the livestock tail, and powerful support is provided for the healthy development of the livestock breeding industry.

Optionally, the monitoring device comprises a sound simulator, and the method further comprises:

Determining the livestock and poultry breeding type and the livestock and poultry breeding position of the livestock and poultry housing according to the livestock and poultry housing information;

Determining the type of the livestock according to the livestock breeding type of the livestock house and the breeding position of the livestock;

extracting sounds sensitive to the livestock in a preset database according to the type of the livestock;

Before the livestock house image is acquired, a sound production instruction is sent to the sound simulator according to the sound sensitive to the livestock, the sound simulator is controlled to send the sound sensitive to the livestock according to the sound production instruction, and the emotion of the livestock is stimulated through the sound sensitive to the livestock, so that the livestock swings the tail.

The technical scheme has the following advantages: the emotion of the livestock and poultry is stimulated by the sound simulator, so that the livestock and poultry can be promoted to generate more obvious tail swing, and the accuracy and the sensitivity of monitoring the behavior of the livestock and poultry are improved; and the proper sound stimulation is selected according to the specific type and biological characteristics of the livestock, so that the personalized monitoring of the livestock is realized, and the pertinence and the effectiveness of the monitoring are improved.

Optionally, the monitoring device includes a temperature sensor, analyzes the environment of the livestock and poultry house, and determines, according to an analysis result, whether an external cause exists to cause the abnormal posture of the livestock and poultry, including:

Sending a detection instruction to the temperature sensor, controlling the temperature sensor to detect the temperature of the livestock and poultry houses according to the detection instruction, obtaining the actual temperature of the livestock and poultry houses, comparing the actual temperature with a preset temperature, and judging whether the temperature of the livestock and poultry houses is abnormal according to the comparison result;

If the outdoor temperature is abnormal, acquiring the current outdoor temperature;

Extracting a current vent image according to the livestock house image; obtaining the current vent state according to the current vent image;

Judging whether the current ventilation opening state is correct or not according to the current outdoor temperature;

If the current ventilation opening state is correct, determining that no external cause exists to cause abnormal postures of the livestock and poultry;

If the current ventilation opening state is wrong, determining that an abnormal posture of the livestock and poultry is caused by the existence of an external reason, wherein the external reason is the current ventilation opening state error;

formulating a solution based on the external cause, comprising:

determining a correct current vent state according to the current outdoor temperature;

and the current ventilation opening state is adjusted to be in a correct state in error.

The technical scheme has the following advantages: based on a temperature sensor and an image recognition technology, the influence of environmental factors of the livestock and poultry houses on livestock and poultry is comprehensively considered, and the accuracy and the comprehensiveness of monitoring are improved; and moreover, the abnormal livestock and poultry postures caused by external reasons can be timely found through monitoring and analyzing the temperature and the ventilation opening state of the livestock and poultry house in real time, and corresponding solutions are formulated, so that the problem is prevented from further deteriorating.

Optionally, the livestock and poultry house includes a plurality of compartments, analyze livestock and poultry house environment, judge whether there is the external cause to lead to the beasts and birds to appear unusual gesture according to the analysis result, include:

According to the livestock and poultry house image, carrying out image segmentation on the livestock and poultry house image to obtain an image after image segmentation;

extracting features of the image after image segmentation to obtain compartment features;

Classifying and identifying the livestock and poultry characteristics and the compartment characteristics to obtain classification results;

based on a mathematical model, determining the number of livestock and poultry in the compartment and the area of the compartment according to the classification result;

Determining the density of livestock and poultry in the compartment according to the number of livestock and poultry in the compartment and the area of the compartment, wherein the following formula is specifically referred to:

；

wherein, Is the density of the livestock and poultry in the compartment,Is the number of livestock and poultry in the compartment; Is the cell area;

comparing the density of the livestock and poultry in the compartment with a preset density, and judging whether the density of the livestock and poultry in the compartment meets the standard according to the comparison result;

If the abnormal posture of the livestock and poultry does not meet the standard, determining that the abnormal posture of the livestock and poultry is caused by the existence of an external reason.

The technical scheme has the following advantages: based on image segmentation and feature extraction of compartments in the livestock and poultry houses, the environment of the livestock and poultry houses can be finely managed, and the density and distribution condition of livestock and poultry in the compartments can be more accurately estimated; moreover, the condition that the density of the livestock and poultry in the compartment does not accord with the standard can be found in time by calculating and analyzing the density of the livestock and poultry, so that measures are taken in time to solve the problems, and abnormal postures and health problems of the livestock and poultry are avoided.

Optionally, the livestock house comprises an isolation area, the monitoring device comprises a visual guiding device, and the solution is formulated according to the cause of the abnormal gesture, including:

based on a preset symptom database, symptom information corresponding to the internal cause is called;

Determining whether the internal cause is infectious based on the symptom information;

if the infectivity exists, determining livestock and poultry with internal reasons according to the livestock and poultry house image, and carrying out abnormal marking on the livestock and poultry with internal reasons to obtain abnormal marked livestock and poultry and non-abnormal marked livestock and poultry;

extracting sounds and marks with guiding effect on the livestock and poultry in a preset database according to the type of the livestock and poultry;

Controlling the sound simulator to emit sound with guiding effect on the livestock and poultry, and controlling the visual guiding device to swing a mark with guiding effect on the livestock and poultry;

If the abnormal marked livestock and poultry enter the isolation area, managing the abnormal marked livestock and poultry;

And if the non-abnormal marked livestock and poultry enter the isolation area, driving the non-abnormal marked livestock and poultry.

The technical scheme has the following advantages: based on the visual guide device and the sound simulator, the accurate isolation of livestock and poultry with health problems or infectious diseases can be realized, and the spread of diseases is effectively prevented; and the health condition of the livestock and poultry can be timely monitored and isolated and managed, so that the health and safety of the whole livestock and poultry house can be ensured, and the economic loss is reduced.

Optionally, the monitoring device includes a syringe, and the managing the abnormally marked livestock and poultry includes:

based on a preset symptom database, according to the symptom information, invoking a treatment medicament and an anesthetic corresponding to the symptom information;

Sending a medicament injection instruction to the injector according to the treatment medicament and the anesthetic medicament;

and controlling the injector to inject the medicament into the abnormally marked livestock and poultry according to the medicament injection instruction, and managing the abnormally marked livestock and poultry.

The technical scheme has the following advantages: the animals can be effectively managed by injecting the treatment medicament and the anesthetic to the abnormally marked animals, so that the pains of the animals are relieved, and the recovery is promoted; meanwhile, the efficiency and benefit of livestock breeding are improved, and the loss caused by diseases is reduced.

Optionally, analyzing the abnormal gesture, determining a cause of the abnormal gesture includes:

Extracting a local image of the livestock and poultry according to the livestock and poultry house image;

Extracting the characteristics of the local image to obtain local characteristics;

Matching the local features with preset features, and judging whether the local features are the cause of the abnormal gesture according to a matching result;

If the local features are not matched with the preset features, determining that the local features are the cause of the abnormal gesture;

and if the local characteristics are consistent with the preset characteristics, determining that other causes exist in the abnormal gesture.

The technical scheme has the following advantages: the reasons for causing the abnormal postures can be more accurately found out by extracting and matching the characteristics of the local images of the livestock and the poultry; and through deep analysis of the cause of abnormal postures, powerful support can be provided for subsequent solution formulation, and the efficiency and benefit of livestock breeding are improved.

In a second aspect, the present application provides an intelligent monitoring platform for livestock breeding, comprising:

The monitoring module is used for controlling the monitoring equipment to monitor the livestock and poultry houses in real time and obtaining images of the livestock and poultry houses; extracting features of the livestock and poultry house image to obtain livestock and poultry features; analyzing the characteristics of the livestock and poultry, and judging whether the livestock and poultry have abnormal postures according to analysis results;

the environment analysis module is used for analyzing the environment of the livestock and poultry houses according to the images of the livestock and poultry houses if the abnormal postures exist, and judging whether the abnormal postures of the livestock and poultry are caused by external reasons according to analysis results;

The judging module is used for making a solution according to the external reason if the external reason exists, so that a worker can exclude the external reason according to the solution;

And the scheme making module is used for determining that the abnormal gesture of the livestock and poultry is caused by the internal reason if the external reason does not exist, analyzing the abnormal gesture, determining the cause of the abnormal gesture, and making a solution according to the cause of the abnormal gesture so as to enable staff to exclude the internal reason according to the solution.

Optionally, the monitoring module is specifically configured to:

；

Optionally, the intelligent monitoring platform for livestock breeding further comprises an emotion excitation module for:

Optionally, the environment analysis module is specifically configured to:

formulating a solution based on the external cause, comprising:

Optionally, the environment analysis module is specifically configured to:

；

Optionally, the scheme making module is specifically configured to:

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions of the prior art, the drawings that are needed in the embodiments or the description of the prior art will be briefly described below, it will be obvious that the drawings in the following description are some embodiments of the present application, and that other drawings can be obtained according to these drawings without inventive effort to a person skilled in the art.

Fig. 1 is a schematic view of an application scenario provided in an embodiment of the present application;

FIG. 2 is a flow chart of an intelligent monitoring method for livestock breeding according to an embodiment of the application;

fig. 3 is a schematic structural diagram of an intelligent monitoring platform for livestock breeding according to an embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. It will be apparent that the described embodiments are some, but not all, embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.

In addition, the term "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. In this context, unless otherwise specified, the term "/" generally indicates that the associated object is an "or" relationship.

Embodiments of the application are described in further detail below with reference to the drawings.

Based on the image and environment information of the livestock and poultry house monitored in real time, the intelligent monitoring platform and the monitoring method for livestock and poultry cultivation can discover abnormal postures of livestock and poultry in time and early warn the abnormal postures, so that omission and untimely manual inspection are avoided; in addition, whether the livestock and poultry have abnormal postures or not can be judged, the reasons of the abnormal postures can be further analyzed, corresponding solutions can be provided no matter external factors or internal factors, and the pertinence and the efficiency of problem processing are improved; therefore, through real-time monitoring, automatic analysis and intelligent early warning, the abnormal postures of the livestock and poultry are quickly found and processed, and powerful support is provided for the healthy development of the livestock and poultry breeding industry.

Fig. 1 is a schematic view of an application scenario provided by the present application.

In the livestock breeding process, the scheme of the application is applied to monitoring. Specifically, a server is arranged in an intelligent monitoring platform for livestock breeding, communication is carried out between the server and monitoring equipment, communication is carried out between the server and a staff terminal, real-time monitoring instructions are sent to the monitoring equipment, the monitoring equipment is controlled to monitor livestock houses in real time according to the real-time monitoring instructions, the monitored livestock house images and the monitored livestock house information are fed back, whether the livestock exist an external reason or an internal reason is judged according to analysis results through analysis of the livestock house images and the livestock house information, corresponding solutions are formulated according to the external reason and the internal reason, and finally, the solutions are sent to the staff terminal, so that staff can adjust the livestock house environment according to the solutions or rescue abnormal livestock. Reference may be made to the following examples for specific implementation.

Fig. 2 is a flowchart of an intelligent monitoring method for livestock breeding according to an embodiment of the present application, where the method of the present embodiment may be applied to a server in the above scenario. As shown in fig. 2, the method includes:

S201, controlling monitoring equipment to monitor the livestock and poultry houses in real time to acquire images and information of the livestock and poultry houses; extracting features of the livestock and poultry house image to obtain livestock and poultry features; and analyzing the characteristics of the livestock and the poultry, and judging whether the livestock and the poultry have abnormal postures according to an analysis result.

The monitoring device may be considered as a device for continuously observing, measuring and recording various parameters of the livestock and poultry house, such as temperature, humidity, air quality, and the like, as well as growth states and behavior patterns of the livestock and poultry, such as a temperature and humidity sensor, an air quality detector, a video monitoring system, and the like.

The livestock house image can be considered as a real-time image of the interior of the livestock house acquired by the monitoring equipment, and the image can be used for observing the behavior, the gesture and the environmental condition of the livestock in the house.

The livestock and poultry house information can be considered to cover detailed information such as size, structure, facility configuration and the like of the livestock and poultry house.

The characteristics of the livestock and poultry can be considered as the body type, outline, action gesture and the like of the livestock and poultry, and are used for distinguishing the background in the image from the livestock and poultry.

Wherein, the abnormal posture can be considered as an unusual posture of the livestock and poultry which does not accord with the normal growth or behavior mode; for example, the livestock and poultry may have abnormal postures such as lameness, unstable standing, shrinkage into a group and the like.

Specifically, in the livestock breeding process, the livestock house is monitored in real time for 24 hours through monitoring equipment such as a high-definition camera and a sensor arranged in the livestock house; to capture images of the livestock and poultry houses in real time and collect relevant environmental information such as temperature, humidity, ammonia concentration and the like.

Then, the characteristics of the livestock and poultry body type, action and the like are identified by utilizing image processing technologies such as image denoising, image enhancement, image segmentation and the like to extract the characteristics of the images; by comparing with a preset normal posture model, the characteristics are analyzed, and whether the livestock and poultry have abnormal postures, such as unstable standing, difficult walking and the like, is judged.

S202, if the abnormal gesture exists, analyzing the livestock and poultry housing environment according to the livestock and poultry housing image, and judging whether the abnormal gesture of the livestock and poultry occurs due to the external reason according to the analysis result.

The environment of the livestock and poultry house can be considered as physical and chemical conditions of the livestock and poultry house, such as ventilation opening state of the livestock and poultry house, ground humidity and the like.

The external reasons can be considered as external factors which cause abnormal postures or health conditions of the livestock and poultry, such as temperature, humidity, cultivation density and the like in the livestock and poultry house.

Specifically, if the abnormal gesture of the livestock is found, the environmental information of the livestock house is further analyzed; for example, the ventilation state of the livestock and poultry house, the ground moisture condition and the like; from these analyses, it is determined whether the abnormal posture is caused by external environmental factors.

And S203, if the external reason exists, a solution is formulated according to the external reason, so that a worker can exclude the external reason according to the solution.

The solution can be considered as specific countermeasures and plans formulated for abnormal postures or health problems of livestock and poultry; solutions may include adjusting feeding management, improving feed formulas, increasing medication or improving the environment of the livestock house, etc.

Specifically, if the analysis result shows that the abnormal posture is caused by external environmental factors, such as heatstroke of livestock and poultry caused by excessive temperature, corresponding solutions can be formulated according to the factors, such as ventilation equipment adjustment, cooling facility opening and the like, and the solutions are sent to staff, so that the staff can take measures in time to eliminate the external reasons.

S204, if no external cause exists, determining that the livestock and poultry have abnormal postures caused by the internal cause, analyzing the abnormal postures, determining the cause of the abnormal postures, and formulating a solution according to the cause of the abnormal postures so as to enable staff to exclude the internal cause according to the solution.

The internal cause can be considered to be abnormal posture or health problems caused by the self factors of the livestock and poultry, such as genetic defects, disease infection, malnutrition and the like.

The cause of the abnormal posture can be considered as a specific cause or predisposition for the livestock and poultry to have the abnormal posture.

Specifically, if the analysis result shows that the abnormal posture is not caused by external environmental factors, judging that the abnormal posture of the livestock and poultry is caused by internal reasons, such as diseases, malnutrition and the like; at this time, the abnormal posture is further analyzed, for example, the abnormal posture of the livestock and poultry is carefully observed, the posture changes of the head, the neck, the limbs, the trunk and other parts are included, and the specific cause of the abnormal posture is determined by combining the historical data and the expert knowledge base.

And finally, according to the determined cause of the abnormal posture, making corresponding solutions, such as providing drug treatment suggestions, adjusting feed formulas and the like, and informing workers to take corresponding measures so as to eliminate internal causes and restore the normal posture of the livestock.

By the method provided by the embodiment, the abnormal gestures of the livestock and poultry house can be timely found and early-warned based on the image and the environment information of the livestock and poultry house monitored in real time, so that omission and untimely manual inspection are avoided; in addition, whether the livestock and poultry have abnormal postures or not can be judged, the reasons of the abnormal postures can be further analyzed, corresponding solutions can be provided no matter external factors or internal factors, and the pertinence and the efficiency of problem processing are improved; therefore, through real-time monitoring, automatic analysis and intelligent early warning, the abnormal postures of the livestock and poultry are quickly found and processed, and powerful support is provided for the healthy development of the livestock and poultry breeding industry.

In some embodiments, determining the tail root position of the livestock and the tail end position of the livestock according to the characteristics of the livestock and the poultry; taking the direction from the tail root position to the ground asThe axis and the tail root position parallel to the ground areA shaft, establishing a coordinate system; setting the tail root position as an origin; based on an image recognition technology, recording coordinates of each point of the tail end position in a fixed time period according to a coordinate system; determining the swing amplitude of the tail of the livestock and poultry according to the coordinates of each point of the tail end position in a fixed time period; comparing the swing amplitude with a preset swing amplitude, and if the swing amplitude is smaller than the preset swing amplitude, determining that the livestock and poultry have abnormal postures.

The tail root position can be considered as the position of the part of the livestock tail connected with the body and is an important reference point for determining the tail swing starting point.

The tail end position can be regarded as the most far end position of the livestock tail, and is another key reference point for determining the tail swing range and amplitude.

The swing amplitude can be considered as the maximum moving distance or angle from the root to the end of the livestock tail in the swing process, and reflects the swing intensity of the tail.

The preset swing amplitude can be considered as a reference value of a tail swing amplitude preset according to the type, health condition or experimental requirement of the livestock and the poultry, and is used for comparing with the actual swing amplitude; the preset swing amplitude is set according to the swing range of the tail of the livestock and poultry under normal conditions.

Specifically, firstly, according to the characteristics of livestock and poultry, tail characteristics of the livestock and poultry are extracted from livestock and poultry house images, wherein the tail characteristics comprise root positions of the tails and end positions of the tails.

Then, a y-axis is established according to the direction from the tail root position to the ground, an x-axis is established according to the direction from the tail root position to the ground, and a two-dimensional coordinate system is established based on the x-axis; and the tail root position is set as the origin of the coordinate system.

Then, using image recognition technology, continuously tracking and recording tail end positions over a fixed period of time (e.g., one minute, five minutes, etc.), the coordinates of each point in a coordinate system; these coordinate points reflect the trajectory of the tail during this time.

From these coordinate points, the amplitude of the tail oscillation during this time can be calculated.

Finally, comparing the calculated swing amplitude with a preset swing amplitude; if the actually measured swing amplitude is smaller than the preset swing amplitude, judging that the livestock and poultry have abnormal postures.

By the method provided by the embodiment, based on detailed analysis of the tail swing amplitude of the livestock and poultry, whether the livestock and poultry have abnormal postures can be judged more accurately, and the possibility of misjudgment and missed judgment is reduced; meanwhile, the tail is used as a part of the body of the livestock and poultry, and the swing amplitude of the tail can reflect the health condition and the emotion state of the livestock and poultry; through analysis of the swing amplitude, the fine change of the livestock and poultry posture can be sensitively captured, and the potential problem can be found timely.

In some embodiments, the coordinates of a plurality of recorded points are obtained according to the coordinates of each point of the tail end position in a fixed time period,) ; According to the coordinates of the recorded points,) Determining the straight line distance from the recording point to the originSpecifically, the following formula (1) is referred to:

（1）

according to the straight distance Calculating the straight line distance from each recording point to the original point to obtain a distance data set; obtaining a maximum value and a minimum value of the linear distance by comparing all the distance data in the data set; determining the swing amplitude according to the maximum value and the minimum value of the linear distance, and specifically referring to the following formula (2):

（2）

Where a distance dataset may be considered as a collection of distance measurements comprising a straight line distance from all recorded points to the origin of the tail over a fixed period of time.

Specifically, in order to more accurately judge the abnormal gesture of the livestock and poultry, the swing amplitude of the tail of the livestock and poultry is particularly concerned, and the specific implementation steps of the swing amplitude are as follows:

firstly, according to the coordinates of each point of the tail end position recorded in a fixed time period, the coordinates of a plurality of recorded points are obtained ,) ; These coordinate points reflect the trajectory of the tail during this time.

Next, the formula is usedTo calculate the straight line distance from each recording point to the origin. This formula is based on a distance calculation formula in a two-dimensional coordinate system by calculating the abscissa of each recording pointAnd the ordinateThe square root of the sum of squares of (c) yields the straight line distance of the point to the origin.

By calculating the straight line distance of each recording point, a distance data set is obtained.

Then, comparing all distance data in the data set, and finding out the maximum value and the minimum value in the distance data; these two values represent the distance the tail swings to the furthest and nearest ends, respectively, during this time.

Finally, using the formulaTo calculate the swing amplitudeThe formula obtains the swing amplitude of the tail in the period of time by taking the difference between the maximum value and the minimum value; the swing amplitude directly reflects the activity degree of the tail of the livestock and poultry, so that whether the livestock and poultry have abnormal postures or not can be judged.

By the method provided by the embodiment, whether the livestock and poultry have abnormal postures can be more accurately judged by accurately calculating the maximum value and the minimum value of the tail swing amplitude, so that the possibility of misjudgment is reduced; the calculation is carried out based on a mathematical formula, so that the interference of human factors is avoided, and the objectivity of judgment is improved; therefore, the health condition of the livestock can be accurately judged by accurately calculating the swing amplitude of the livestock tail, and powerful support is provided for the healthy development of the livestock breeding industry.

In some embodiments, according to the livestock and poultry house information, determining the livestock and poultry breeding type and the livestock and poultry breeding position of the livestock and poultry house; determining the type of the livestock according to the livestock breeding type and the livestock breeding position of the livestock house; extracting sounds sensitive to the livestock and poultry in a preset database according to the types of the livestock and poultry; before the livestock house image is acquired, a sound production instruction is sent to the sound simulator according to the sound sensitive to the livestock, the sound simulator is controlled to send the sound sensitive to the livestock according to the sound production instruction, and the emotion of the livestock is stimulated through the sound sensitive to the livestock, so that the livestock swings the tail.

The monitoring device comprises a sound simulator.

Among them, a sound simulator can be considered as a device capable of simulating the emission of various sounds for stimulating emotional or behavioral reactions of livestock and poultry, such as the simulation of sounds of other livestock and poultry or specific music.

The livestock and poultry breeding type can be considered as livestock and poultry species bred in livestock and poultry houses, such as pigs, cattle, sheep and the like, and different breeding types have different requirements on breeding management and environment.

Wherein, the breeding position can be considered as a specific breeding position or region of the livestock and poultry in the livestock and poultry house.

Wherein, the type of livestock and poultry can be considered as the type or variety of livestock and poultry, such as pigs, cattle, sheep and the like, and the livestock and poultry of different types have different biological characteristics and production performances.

Wherein, the sound sensitive to the livestock and poultry can be regarded as sound which can cause specific behaviors or emotional reactions of the livestock and poultry, such as the sound of certain animals, sound waves with specific frequencies and the like; these sounds may be used to train, guide or observe the behaviour of the livestock.

The sound command may be considered as a command for controlling the sound simulator to emit a specific sound, and may be an electronic signal or a preset program command.

Specifically, according to the livestock and poultry house information obtained by the monitoring equipment, the livestock and poultry breeding type (such as pigs, cows, sheep and the like) and the livestock and poultry breeding position (such as a specific column or region) of the livestock and poultry house can be determined.

Next, according to the livestock breeding type and the breeding position of the livestock and poultry house, the specific type of the livestock and poultry can be determined; this step is to more precisely understand the biological characteristics and behavior habits of the livestock and poultry for subsequent selection of appropriate sound stimuli.

Then, extracting the sound sensitive to the livestock from a preset database according to the determined type of the livestock; these sounds may be sounds that the livestock and poultry hear in nature, or sounds that can elicit specific reactions of the livestock and poultry in specific situations.

Before the livestock and poultry house image is acquired, the extracted sound sensitive to the livestock and poultry is used as a sound production instruction to be sent to a sound simulator; after receiving the instruction, the sound simulator simulates to make corresponding sound so as to excite the emotion of the livestock and poultry; the sound stimulus helps to promote livestock and poultry to generate more obvious tail swing, and more valuable data is provided for subsequent analysis.

Finally, when the livestock and poultry are stimulated by sound and show tail swing, the behavior can be captured and recorded by utilizing an image recognition technology; by analyzing the tail swing amplitude, the health condition and the abnormal posture of the livestock can be more accurately judged.

By the method provided by the embodiment, the emotion of the livestock is stimulated by the sound simulator, so that the livestock can be promoted to generate more obvious tail swing, and the accuracy and the sensitivity of monitoring the behavior of the livestock are improved; and the proper sound stimulation is selected according to the specific type and biological characteristics of the livestock, so that the personalized monitoring of the livestock is realized, and the pertinence and the effectiveness of the monitoring are improved.

In some embodiments, a detection instruction is sent to a temperature sensor, the temperature sensor is controlled to detect the temperature of the livestock and poultry houses according to the detection instruction, the actual temperature of the livestock and poultry houses is obtained, the actual temperature is compared with a preset temperature, and whether the temperature of the livestock and poultry houses is abnormal or not is judged according to the comparison result; if the outdoor temperature is abnormal, acquiring the current outdoor temperature; extracting a current vent image according to the livestock house image; obtaining the current vent state according to the current vent image; judging whether the current ventilation opening state is correct or not according to the current outdoor temperature; if the current ventilation opening state is correct, determining that no external cause exists to cause abnormal postures of livestock and poultry; if the current ventilation opening state is wrong, determining that an abnormal posture of the livestock and poultry is caused by the existence of an external reason, wherein the external reason is the current ventilation opening state error; determining a correct current vent state according to the current outdoor temperature; the current vent status is erroneously adjusted to the correct status.

The monitoring device comprises a temperature sensor.

The temperature sensor can be regarded as equipment for measuring the temperature in the livestock and poultry house, can provide temperature data in real time, and helps the breeding personnel know and control the environment in the house.

The detection command may be considered as a command for controlling the temperature sensor to perform temperature measurement.

The actual temperature of the livestock and poultry house can be considered as the current actual temperature value in the livestock and poultry house, and reflects the environmental conditions in the house.

Wherein the preset temperature can be considered as a temperature value preset according to factors such as the type of livestock and poultry, the growth stage or the season and the like, and is used for comparing with the actual temperature of the livestock and poultry house so as to adjust the environment in the house; the preset temperature is usually set based on the growth requirements and health standards of the livestock.

The current outdoor temperature can be considered as the actual temperature of the external environment of the livestock and poultry house, and is usually related to temperature control and management inside the livestock and poultry house.

The current vent image can be considered as a real-time image of the livestock and poultry house vent extracted from the livestock and poultry house image and is used for observing the state of the vent.

The current state of the ventilation opening can be regarded as the current opening or closing state of the ventilation opening and the possible adjustment degree, which influences the ventilation and the temperature control in the livestock house.

Specifically, a detection instruction is sent to a temperature sensor, and the temperature sensor is controlled to detect the temperature of the livestock and poultry houses, so that the actual temperature of the livestock and poultry houses is obtained; and then comparing the actual temperature with a preset temperature to judge whether the temperature of the livestock and poultry house is abnormal.

If the temperature of the livestock and poultry house is abnormal, further acquiring the current outdoor temperature; the outdoor temperature is one of important factors influencing the temperature of the livestock and poultry houses, and understanding the outdoor temperature is helpful for accurately judging the reason of abnormal temperature of the livestock and poultry houses.

Then, extracting a current vent image from the livestock house image by utilizing an image recognition technology, and judging the state (such as opening, closing or partially opening) of the current vent according to the vent image; the state of the ventilation opening directly influences the ventilation and temperature regulation in the livestock and poultry house.

Then, judging whether the current ventilation opening state is correct according to the current outdoor temperature; if the outdoor temperature is higher, but the ventilation opening is not closed or opened enough, the temperature in the livestock and poultry house can be too high, so that the livestock and poultry have abnormal postures; conversely, if the outdoor temperature is low, but the vent is opened too much, the temperature in the livestock house may be too low, and the adverse effect on livestock is also caused.

If the current ventilation opening state is correct, the abnormal posture of the livestock and poultry caused by no external reasons can be primarily judged; however, if the current ventilation opening state is wrong, it can be determined that the abnormal posture of the livestock and poultry is caused by the existence of an external reason, and the external reason is the current ventilation opening state error.

Finally, according to the determined external reasons, a corresponding solution is formulated; specifically, the correct current ventilation opening state is determined according to the current outdoor temperature, and the current ventilation opening state is incorrectly adjusted to be in a correct state; by adjusting the state of the ventilation opening, the temperature and ventilation condition in the livestock and poultry house can be improved, thereby helping the livestock and poultry to recover the normal posture and the healthy state.

By the method provided by the embodiment, the influence of the environmental factors of the livestock and poultry houses on the livestock and poultry is comprehensively considered based on the temperature sensor and the image recognition technology, so that the monitoring accuracy and the comprehensiveness are improved; and moreover, the abnormal livestock and poultry postures caused by external reasons can be timely found through monitoring and analyzing the temperature and the ventilation opening state of the livestock and poultry house in real time, and corresponding solutions are formulated, so that the problem is prevented from further deteriorating.

In some embodiments, image segmentation is performed on the livestock and poultry house image according to the characteristics of the livestock and poultry, so as to obtain an image after image segmentation; extracting features of the image after image segmentation to obtain compartment features; classifying and identifying the livestock and poultry characteristics and the compartment characteristics to obtain classification results; based on a mathematical model, determining the number of livestock and poultry in the compartment and the area of the compartment according to the classification result; determining the density of livestock and poultry in the compartment according to the number of livestock and poultry in the compartment and the area of the compartment, wherein the following formula (3) is specifically referred to:

（3）

Comparing the density of the livestock and poultry in the compartment with a preset density, and judging whether the density of the livestock and poultry in the compartment meets the standard according to the comparison result; if the external reasons are not met, determining that the abnormal posture of the livestock and poultry is caused by the external reasons.

The livestock house comprises a plurality of compartments.

The compartment can be considered as an independent space or area divided in the livestock house for separating different livestock or meeting specific feeding requirements.

The image after image segmentation can be regarded as an image which is convenient for subsequent analysis and identification by segmenting the image of the livestock and poultry house into different areas with specific characteristics or attributes through an image processing technology.

Among other things, compartment characteristics may be considered as unique attributes or features that the compartment exhibits after image segmentation, such as size, shape, color, etc.

The mathematical model can be considered as a mathematical formula or structure for describing, predicting or explaining various phenomena and relations in the livestock and poultry breeding process.

The preset density can be considered as the normal density of the livestock in the single compartment, and is set based on the growth requirement, health standard and cultivation experience of the livestock.

Specifically, according to the characteristics (such as color, shape, size and the like) of the livestock and poultry, an image recognition technology is utilized to divide the livestock and poultry house image, and the livestock and poultry in the image are distinguished from the background, other objects and compartments, so that the image after image division is obtained.

The implementation mode of image segmentation is specifically as follows:

using image segmentation algorithms such as threshold-based segmentation, edge detection, region growing, or deep learning-based segmentation methods (e.g., U-Net, mask R-CNN, etc.), separating the beasts and birds from the compartments;

the segmentation algorithm can distinguish the livestock and poultry from the background (including the compartment) according to the characteristics of color, texture or shape and the like.

Next, feature extraction is performed on the image segmented image, focusing particularly on the features of the compartment, such as the size, shape, position, and the like of the compartment.

Then, classifying and identifying the livestock and poultry characteristics and the compartment characteristics by using a classifying and identifying algorithm; through this process, the number and type of beasts and birds in each compartment, as well as compartment specific information, can be determined.

Based on the mathematical model, the number of livestock and poultry in the compartment and the compartment area are further determined according to the classification result. Subsequently, the formula is usedCalculating the density of livestock and poultry in the compartment; thus, the crowding degree of the livestock and poultry in the compartment is intuitively reflected according to the density of the livestock and poultry in the compartment.

Next, comparing the calculated livestock and poultry density with a preset density; by comparison, whether the density of livestock and poultry in the compartment meets the standard can be judged.

If the density of the livestock and poultry in the compartment does not meet the standard, for example, the density is too high or too low, the abnormal posture of the livestock and poultry caused by the existence of external reasons can be determined; too high a density may cause problems such as limited activity, reduced air quality, etc. of the livestock and poultry, while too low a density may affect social behavior and mental health of the livestock and poultry.

Aiming at the problem of the density of the livestock and poultry which does not meet the standard, a corresponding solution can be formulated; for example, the density of the beasts and birds is changed by adjusting the number of beasts and birds in the compartment or re-dividing the compartment to ensure that the beasts and birds can grow in a comfortable environment.

By the method provided by the embodiment, the fine management of the livestock and poultry housing environment can be realized based on image segmentation and feature extraction of the compartments in the livestock and poultry housing, and the density and distribution condition of livestock and poultry in the compartments can be more accurately estimated; moreover, the condition that the density of the livestock and poultry in the compartment does not accord with the standard can be found in time by calculating and analyzing the density of the livestock and poultry, so that measures are taken in time to solve the problems, and abnormal postures and health problems of the livestock and poultry are avoided.

In some embodiments, based on a preset symptom database, retrieving symptom information corresponding to an internal cause; determining whether an internal cause is infectious according to the symptom information; if the infectivity exists, determining livestock and poultry with internal reasons according to the livestock and poultry house image, and carrying out abnormal marking on the livestock and poultry with the internal reasons to obtain abnormal marked livestock and poultry and non-abnormal marked livestock and poultry; extracting sounds and marks with guiding effect on livestock and poultry in a preset database according to the types of the livestock and poultry; controlling the sound simulator to emit sound with guiding effect on livestock and poultry, and controlling the visual guiding device to swing a mark with guiding effect on livestock and poultry; if the abnormally marked livestock and poultry enter the isolation area, managing the abnormally marked livestock and poultry; if the non-abnormal marked livestock and poultry enter the isolation area, the non-abnormal marked livestock and poultry are driven.

The livestock and poultry house comprises an isolation area.

The monitoring device comprises a visual guide means.

The isolation area can be considered as a special area arranged in the livestock and poultry house and used for isolating livestock and poultry with diseases or abnormal behaviors so as to prevent diseases from spreading or affecting other livestock and poultry.

The visual guide means may be considered as means capable of swinging a marker having a guiding effect on the livestock.

The preset symptom database can be considered as a database storing various abnormal symptoms or diseases possibly occurring in livestock and poultry, and is used for comparing and matching with the observed behavior or state of the livestock and poultry.

Wherein, the symptom information can be considered to reflect the health condition of livestock and poultry or the possible problems; anorexia or abstinence, mental depression, abnormal body temperature, etc.

Among them, the abnormally marked livestock and poultry can be considered as livestock and poultry which are determined to show abnormal postures after being observed and analyzed, and further examination or treatment is generally required.

Wherein, the non-abnormal marked livestock and poultry can be considered to be opposite to the abnormal marked livestock and poultry, which are normal in appearance and do not show any abnormal posture.

Wherein, the sound with guiding function can be regarded as sound capable of guiding livestock and poultry behavior or changing its emotional state; these sounds may be naturally occurring, such as sounds of other birds or sounds of nature, or may be artificially synthesized sounds or music, which may attract the attention of the birds and move them toward the source of the sounds.

Wherein, the mark with guiding function can be regarded as an identifier or a symbol for guiding livestock and poultry behaviors or conveying specific information through visual information; the signs may be colored patterns, text, lights or other visual elements designed to draw the attention of the animal and convey specific instructions or information.

Specifically, after judging the internal cause according to the abnormal gesture and behavior of the livestock and poultry, firstly retrieving symptom information corresponding to the internal cause based on a preset symptom database.

Next, determining whether the internal cause is infectious based on the symptom information; this is a very important step, as infectious disorders require more stringent isolation measures to prevent disease spread.

If the infectivity is determined to exist, further determining which livestock and poultry exist internal reasons by using livestock and poultry house images, and carrying out abnormal marking on the livestock and poultry; thus, the livestock and poultry needing to be isolated can be clearly identified and distinguished from the non-abnormal marked livestock and poultry.

Then, extracting sounds and marks with guiding effect on livestock and poultry from a preset database according to the types of the livestock and poultry;

Then, controlling the sound simulator to emit sound with guiding effect on livestock and poultry, and controlling the visual guiding device to swing a mark with guiding effect on livestock and poultry; thus, the livestock and poultry are more likely to act according to the expected actions under the double guidance of sound and vision.

In the guiding process, the moving condition of the livestock and poultry is closely concerned; if the abnormally marked livestock and poultry successfully enter the isolation area, carrying out isolation management on the abnormally marked livestock and poultry so as to ensure that diseases cannot be transmitted to other healthy livestock and poultry; if the non-abnormal marked livestock and poultry enter the isolation area by mistake, the livestock and poultry can be timely driven out, so that the purity and the effectiveness of the isolation area are maintained.

Meanwhile, in the guiding process, in order to avoid mutual infection between the abnormally marked livestock and the non-abnormally marked livestock, a device for automatically spraying the disinfectant is arranged in a key area or a channel of the livestock and poultry house; the devices can be automatically started according to a preset program or when sensing that livestock and poultry pass, and a proper amount of disinfectant is sprayed; thus, the surfaces of the bodies and the surrounding environment of the livestock and the poultry can be disinfected, and the survival and transmission opportunities of pathogens are reduced.

Meanwhile, when the non-abnormal marked livestock and poultry enter the isolation area by mistake, if an excessively violent or abrupt driving mode is adopted, the abnormal marked livestock and poultry can be possibly disturbed to make the abnormal marked livestock and poultry not dare to enter the isolation area; to avoid this, ensure that the abnormally marked livestock and poultry can smoothly enter the isolation area and be managed, while the non-abnormally marked livestock and poultry can be effectively but softly driven, a softly driving manner can be adopted:

the low-frequency and low-volume sound or vibration is used for driving the non-abnormal marked livestock and poultry, so that high decibel or harshness sound is avoided;

mild air flow or water mist is considered to be used for driving, but is required to ensure that no harm or discomfort is caused to the livestock.

By the method provided by the embodiment, based on the visual guiding device and the sound simulator, the accurate isolation of livestock and poultry with health problems or infectious diseases can be realized, and the spread of diseases is effectively prevented; and the health condition of the livestock and poultry can be timely monitored and isolated and managed, so that the health and safety of the whole livestock and poultry house can be ensured, and the economic loss is reduced.

In some embodiments, based on a preset symptom database, retrieving a treatment agent and an anesthetic agent corresponding to symptom information according to the symptom information; according to the treatment medicament and the anesthetic, a medicament injection instruction is sent to the injector; and controlling the injector to inject the medicament to the abnormally marked livestock and poultry according to the medicament injection instruction, and managing the abnormally marked livestock and poultry.

The monitoring device comprises a syringe.

Among them, the syringe can be considered as a medical tool for injecting medicines or vaccines into livestock and poultry.

Among them, the therapeutic agent can be considered as a drug or an agent for treating a disease of livestock or alleviating abnormal symptoms thereof.

Among them, anesthetic agents can be considered as drugs for temporarily losing consciousness or consciousness of livestock and poultry, and are generally used in operations or other operations requiring livestock and poultry to be stationary.

The medicine injection command can be considered as a command for controlling the injector to inject the treatment medicine and the anesthetic into the livestock and poultry body, and the command contains key information such as the kind, the dosage, the injection mode and the like of the medicine to be injected.

Specifically, after the abnormal marked livestock and poultry are isolated, firstly, based on a preset symptom database, according to symptom information obtained by previous analysis, retrieving a treatment medicament and an anesthetic corresponding to the symptom information; the treatment agent is used for treating diseases or relieving symptoms of livestock and poultry, and the anesthetic agent is used for reducing pains and stress responses of the livestock and poultry in the injection process.

Then, according to the selected treatment agent and anesthetic agent, sending an agent injection instruction to the injector; after receiving the medicament injection instruction, the injector can automatically absorb the corresponding medicament and accurately inject the abnormally marked livestock and poultry, and the process can be realized through an automatic injection device, so that the accuracy and the safety of injection are ensured.

By the method provided by the embodiment, the animals can be effectively managed by injecting the treatment medicament and the anesthetic into the abnormally marked animals, the pain of the animals is relieved, and the recovery is promoted; meanwhile, the efficiency and benefit of livestock breeding are improved, and the loss caused by diseases is reduced.

In some embodiments, a local image of the beasts and birds is extracted from the beasts and birds house image; extracting the characteristics of the local image to obtain local characteristics; matching the local features with preset features, and judging whether the local features are the cause of abnormal gestures or not according to the matching result; if the local features are not matched with the preset features, determining that the local features are the cause of the abnormal gesture; if the local features are consistent with the preset features, determining that other causes exist in the abnormal gesture.

The local image of the livestock and poultry can be considered as an image of a certain part of the livestock and poultry body, and is generally used for observing and analyzing conditions of a specific area, such as limbs, legs and the like.

The local features can be considered as specific attributes or features shown in the local images of livestock and poultry, such as wounds, abnormal swelling and the like.

The preset characteristics can be considered as normal or abnormal characteristics which are preset according to experience and knowledge and are expected to be displayed in the livestock and poultry local images, and the normal or abnormal characteristics are used for comparing with the observed local characteristics.

Other causes can be considered as other reasons or factors which can cause abnormal behaviors or symptoms of livestock and poultry besides known factors.

Specifically, extracting a local image of livestock and poultry according to the livestock and poultry house image;

Then, extracting the characteristics of the partial images to obtain partial characteristics;

Then, matching the local features with the preset features can preliminarily judge whether the features are related to abnormal states or not by matching the local features with the preset features.

If the local features do not match the preset features, the local features can be initially determined to be the reasons for the abnormal state; this may mean that an abnormality such as swelling, deformation, color change, etc. occurs in a certain portion of the livestock and poultry.

However, if the local features coincide with the preset features, these features cannot be simply excluded as the cause of the abnormal state; because sometimes the abnormal state may be caused by a plurality of factors together, or there are special cases that cause the feature to be in compliance with the preset feature but still represent a problem; therefore, in this case, further analysis is required to determine whether there are other causes causing the abnormal state.

By the method provided by the embodiment, the reasons for causing the abnormal postures can be more accurately found out by extracting and matching the characteristics of the local images of the livestock and the poultry; and through deep analysis of the cause of abnormal postures, powerful support can be provided for subsequent solution formulation, and the efficiency and benefit of livestock breeding are improved.

Fig. 3 is a schematic structural diagram of an intelligent monitoring platform for livestock breeding according to an embodiment of the present application, and as shown in fig. 3, an intelligent monitoring platform 300 for livestock breeding according to the embodiment includes: a monitoring module 301, an environment analysis module 302, a judgment module 303 and a scheme formulation module 304.

The monitoring module 301 is configured to control the monitoring device to monitor the livestock and poultry house in real time, and obtain an image of the livestock and poultry house; extracting features of the livestock and poultry house image to obtain livestock and poultry features; analyzing the characteristics of the livestock and poultry, and judging whether the livestock and poultry have abnormal postures according to analysis results;

the environment analysis module 302 is configured to analyze the livestock and poultry housing environment according to the livestock and poultry housing image if the abnormal gesture exists, and determine whether the abnormal gesture of the livestock and poultry occurs due to the external reason according to the analysis result;

A judging module 303, if there is an external reason, making a solution according to the external reason, so that a worker can exclude the external reason according to the solution;

And the scheme making module 304 is used for determining that the abnormal gesture of the livestock and poultry is caused by the existence of the internal cause if the external cause does not exist, analyzing the abnormal gesture, determining the cause of the abnormal gesture, and making a solution according to the cause of the abnormal gesture so as to enable staff to exclude the internal cause according to the solution.

Optionally, the monitoring module 301 is specifically configured to:

；

Optionally, the intelligent monitoring platform 300 for livestock breeding further includes an emotion excitation module 305 for:

Optionally, the environment analysis module 302 is specifically configured to:

formulating a solution based on the external cause, comprising:

Optionally, the environment analysis module 302 is specifically configured to:

；

Optionally, the solution formulation module 304 is specifically configured to:

The intelligent monitoring platform for livestock breeding of the embodiment can be used for executing the method of any embodiment, and the implementation principle and the technical effect are similar, and are not repeated here.

Claims

1. An intelligent monitoring method for livestock breeding, which is characterized by comprising the following steps:

If no external cause exists, determining that an abnormal gesture of the livestock and poultry is caused by the internal cause, analyzing the abnormal gesture, determining the cause of the abnormal gesture, and formulating a solution according to the cause of the abnormal gesture so as to enable staff to exclude the internal cause according to the solution;

analyzing the characteristics of the livestock and poultry, and judging whether the livestock and poultry have abnormal postures according to an analysis result, wherein the method comprises the following steps:

comparing the swing amplitude with a preset swing amplitude, and if the swing amplitude is smaller than the preset swing amplitude, determining that the livestock and poultry have abnormal postures;

the determining of the swing amplitude includes:

；

obtaining a maximum value and a minimum value of the linear distance by comparing all the distance data in the distance data set;

；

wherein, The amplitude of the wobble is indicated,The maximum value of the straight-line distance is indicated,Representing the minimum value of the straight line distance;

the analyzing the abnormal gesture, determining a cause of the abnormal gesture, includes:

2. The method of claim 1, wherein the monitoring device comprises a sound simulator, the method further comprising:

3. The method according to claim 2, wherein the monitoring device includes a temperature sensor, the analyzing the environment of the livestock house, and determining whether the abnormal posture of the livestock is caused by the external cause according to the analysis result includes:

formulating a solution based on the external cause, comprising:

4. A method according to claim 3, wherein the livestock house comprises a plurality of compartments, the analyzing the environment of the livestock house, and determining whether there is an abnormal posture of the livestock caused by an external cause according to the analysis result comprises:

；

5. The method of claim 4, wherein the livestock shed comprises an isolation area, the monitoring device comprises a visual guide, and the formulating a solution based on the cause of the abnormal gesture comprises:

6. The method of claim 5, wherein the monitoring device comprises a syringe, and wherein the managing the anomaly-tagged beasts and birds comprises:

7. An intelligent monitoring platform for livestock-raising, characterized by comprising:

the scheme making module is used for determining that the abnormal gesture of the livestock and poultry is caused by the internal reason if the external reason does not exist, analyzing the abnormal gesture, determining the cause of the abnormal gesture, and making a solution according to the cause of the abnormal gesture so as to enable staff to exclude the internal reason according to the solution;

the monitoring module is used for determining the tail root position and the tail end position of the livestock and poultry according to the characteristics of the livestock and poultry; taking the direction from the root position of the tail to the ground as An axis, the tail root position is parallel to the groundA shaft, establishing a coordinate system; setting the tail root position as an origin; based on an image recognition technology, recording coordinates of each point of the tail end position in a fixed time period according to the coordinate system; determining the swing amplitude of the tail of the livestock and poultry according to the coordinates of each point of the tail end position in the fixed time period; comparing the swing amplitude with a preset swing amplitude, and if the swing amplitude is smaller than the preset swing amplitude, determining that the livestock and poultry have abnormal postures;

the monitoring module is specifically configured to:

；

the scheme making module is specifically configured to: