Optimization Method and System for Environmental Management of Breeding Duck Farms Based on AI Analysis

Abstract

The present invention discloses an optimization method and system for the environmental management of a breeding duck farm based on AI analysis, which relates to the technical field of breeding duck farm management and includes: obtaining the site design drawing of the breeding duck farm and the ventilable peripheral area; using the wind direction positioning method to obtain the environmental monitoring points and wind speed monitoring points in the breeding duck farm, and obtaining the in-farm wind speed standard; obtaining the permanent detection points and variable detection points; managing the environment of the breeding duck farm based on AI. The present invention is used to solve the problem that in the existing optimization method for the environmental management of a breeding duck farm, the data collection points are relatively conventional and fixed, the installation positions of sensors cannot be determined based on the environmental conditions in the breeding duck farm, and the installation positions of sensors cannot be changed based on real-time environmental changes, resulting in inaccurate environmental data and omissions in environmental management optimization.

Description

Technical Field

[0001] The present invention relates to the technical field of breeding duck farm management, and specifically to an optimization method and system for the environment management of a breeding duck farm based on AI analysis. Background Art

[0002] A breeding duck farm refers to a place specifically used for raising and managing breeding ducks, and its main purpose is to breed and cultivate healthy ducklings; the management of a breeding duck farm mainly includes: feeding management, disease prevention and control, selection and matching of breeding ducks, and environment management. Among them, environment management mainly includes temperature control, humidity control, and ventilation control; the main measures for optimizing the environment management of a breeding duck farm include reasonable control of temperature and humidity, ventilation design, disinfection, deodorization, humidification, and feed cost management.

[0003] Existing methods for optimizing the environment management of a breeding duck farm usually analyze the growth state information of the breeding ducks in the breeding duck farm, obtain the environmental data in the breeding duck farm by installing sensors, and combine the growth state information of the breeding ducks with the environmental data in the breeding duck farm for analysis, so as to obtain the environmental impact factors that have a relatively high impact on the growth state of the breeding ducks, and then optimize the environment of the breeding duck farm. Although this improved method can reduce the impact of the environment on the growth process of the breeding ducks, in the collection of environmental data, the data collection points are relatively conventional and fixed, and it is impossible to determine the installation positions of the sensors based on the environmental conditions in the breeding duck farm, and at the same time, it is impossible to change the installation positions of the sensors based on the real-time environmental changes, resulting in inaccurate environmental data and omissions in the environmental management optimization. For example, in the patent application with the publication number CN119323290A, an intelligent duck farm environment management optimization method and system are disclosed. This solution filters high-weight environmental impact factors based on growth attributes, sets key environmental impact factors for multiple growth scenarios based on the high-weight environmental impact factors, collects the environmental impact factors of multiple growth scenarios, and configures the semantic processing of the matching environmental logs for the healthy growth of the breeding ducks. Other improvements in the optimization of the environment management of a breeding duck farm are usually improvements in the equipment in the breeding duck farm, and still cannot solve the problem that in the collection of environmental data, the data collection points are relatively conventional and fixed, and it is impossible to determine the installation positions of the sensors based on the environmental conditions in the breeding duck farm, and at the same time, it is impossible to change the installation positions of the sensors based on the real-time environmental changes, resulting in inaccurate environmental data and omissions in the environmental management optimization. In view of this, it is necessary to improve the existing methods for optimizing the environment management of a breeding duck farm. Summary of the Invention

[0004] The present invention aims to solve at least one of the technical problems in the prior art to some extent. By proposing an optimization method and system for the environmental management of a breeding duck farm based on AI analysis, it is used to solve the problems in the existing optimization methods for the environmental management of breeding duck farms. In the collection of environmental data, the data collection points are relatively conventional and fixed, and it is impossible to determine the installation positions of sensors based on the environmental conditions in the breeding duck farm. At the same time, it is impossible to change the installation positions of sensors based on real-time environmental changes, resulting in inaccurate environmental data and omissions in environmental management optimization.

[0005] To achieve the above object, in the first aspect, the present application provides an optimization method for the environmental management of a breeding duck farm based on AI analysis, including the following steps:

[0006] Obtain the site design drawing of the breeding duck farm, and based on the site design drawing, obtain the ventilable peripheral area of the breeding duck farm; Place wind speed sensors in the ventilable peripheral area, and based on the sensing data of the wind speed sensors, use the wind direction positioning method to obtain the environmental monitoring points and wind speed monitoring points in the breeding duck farm;

[0007] Screen the wind speed monitoring points based on the wind speed sensors, and based on the screening results, obtain the in-farm wind speed standard, where the in-farm wind speed standard includes the in-farm direction and the in-farm wind speed; Screen the environmental monitoring points based on the in-farm wind speed standard, and based on the screening results, obtain the permanent detection points and variable detection points;

[0008] Import the real-time sensing data of the wind speed sensors and the wind direction positioning method into the AI, and based on the AI, obtain the environmental monitoring points and wind speed monitoring points in real time, and update the in-farm wind speed standard, permanent detection points and variable detection points; Manage the environment of the breeding duck farm based on the latest permanent detection points and variable detection points.

[0009] Further, obtaining the site design drawing of the breeding duck farm and obtaining the ventilable peripheral area of the breeding duck farm based on the site design drawing includes:

[0010] Obtain the site design drawing of the breeding duck farm, and mark the area where the duck house is located in the site design drawing as the duck house area; Mark the area where air circulation is allowed in the duck house area as the ventilable area, and mark the closed figure corresponding to the boundary of the duck house in the site design drawing as the duck house edge area; Mark the area where the ventilable area coincides with the duck house edge area as the ventilable peripheral area;

[0011] Mark all independent areas in the ventilable peripheral area as ventilable sub-areas KZ1 to ventilable sub-areas KZ v ; For any ventilable sub-area KZ b ,mark the ventilable sub-area KZ bThe points that coincide with the edge area of the duck house are respectively denoted as boundary coincidence point A and boundary coincidence point B, where b is a positive integer less than or equal to v and greater than or equal to 1; the distance between boundary coincidence point A and boundary coincidence point B is denoted as the sub-region length.

[0012] Further, placing wind speed sensors in the ventilable peripheral area includes:

[0013] When the sub-region length is greater than L, the value obtained by dividing the sub-region length by L and rounding up is denoted as j, and j points are evenly obtained on the line connecting boundary coincidence point A and boundary coincidence point B, and are all denoted as wind speed placement points; when the sub-region length is less than or equal to L, the midpoint of the line connecting boundary coincidence point A and boundary coincidence point B is denoted as the wind speed placement point, where L is the minimum installation interval of the wind speed sensor;

[0014] Obtain the wind speed placement points of all ventilable sub-regions KZ, place wind speed sensors at the wind speed placement points, and denote them as off-site sensors.

[0015] Further, the wind direction positioning method includes:

[0016] Denote the sensing data of all off-site sensors as wind speed sensing data; establish a plane rectangular coordinate system with the units of both the X-axis and the Y-axis being m, and denote it as the ventilation analysis coordinate system; place the duck house area proportionally in the ventilation analysis coordinate system and mark the positions of the wind speed placement points.

[0017] Further, the wind direction positioning method also includes:

[0018] In the ventilation analysis coordinate system: for any obtained wind speed sensing data, mark the wind speed and wind direction at the wind speed placement points based on the positions of the off-site sensors. Among them, based on the wind direction, draw a ray at the wind speed placement point, and denote it as the ventilation ray, and the direction of the ventilation ray is the orientation of the wind direction;

[0019] Obtain the ventilation rays corresponding to the wind speed sensing data; denote the intersection point of all ventilation rays in the duck house area as the wind speed monitoring point, and denote the number of wind speed monitoring points as k; denote the independent areas divided by all ventilation rays in the duck house area as regular areas, and denote the first k regular areas arranged in descending order of area among all regular areas as regular detection areas; obtain the center of the minimum circumscribed circle of all regular detection areas, and denote it as the environmental monitoring point.

[0020] Further, screening the wind speed monitoring points based on the wind speed sensors, and obtaining the in-site wind speed standard based on the screening results includes:

[0021] Place wind speed sensors at all wind speed monitoring points, and denote them as in-field sensors; mark the wind speed and wind direction at the wind speed monitoring points based on the sensing data of the in-field sensors; for any wind speed monitoring point: when the marked wind direction at the wind speed monitoring point is the same as the direction of the ventilation ray where the wind speed monitoring point is located, mark the wind speed monitoring point as a co-directional monitoring point; when the marked wind direction at the wind speed monitoring point is different from the direction of the ventilation ray where the wind speed monitoring point is located, mark the wind speed monitoring point as a counter-directional monitoring point;

[0022] When the number of co-directional monitoring points is greater than that of counter-directional monitoring points, use the co-directional analysis algorithm to obtain the co-directional wind difference of each co-directional monitoring point, and denote the marked wind speed and wind direction of the co-directional monitoring point corresponding to the largest co-directional wind difference as the in-field wind speed and in-field wind direction respectively, where the co-directional analysis algorithm is: Z = Z0 - Z1, Z is the co-directional wind difference, Z0 is the marked wind speed of the co-directional monitoring point, and Z1 is the marked wind speed of the wind speed placement point in the ventilation ray where the co-directional monitoring point is located;

[0023] When the number of co-directional monitoring points is less than or equal to that of counter-directional monitoring points, use the counter-directional analysis algorithm to obtain the counter-directional wind difference of each counter-directional monitoring point, and denote the marked wind speed and wind direction of the counter-directional monitoring point corresponding to the largest counter-directional wind difference as the in-field wind speed and in-field wind direction respectively, where the counter-directional analysis algorithm is: D = d - β, D is the counter-directional wind difference, β is the marked wind speed of the wind speed placement point in the ventilation ray where the counter-directional monitoring point is located, and d is the component of the marked wind speed of the counter-directional monitoring point in the direction of the ventilation ray where the counter-directional monitoring point is located.

[0024] Further, screen the environmental monitoring points based on the in-field wind speed standard, and obtain the permanent detection points and variable detection points based on the screening results, including:

[0025] Use wind speed sensors to obtain the wind direction of each environmental monitoring point respectively; for any environmental monitoring point, when the included angle between the wind direction of the environmental monitoring point and the in-field direction is less than 90°, mark the environmental monitoring point as a variable detection point;

[0026] When the included angle between the wind direction of the environmental monitoring point and the in-field direction is equal to 90°, mark the environmental monitoring point as a permanent detection point.

[0027] Further, manage the environment of the breeding duck farm based on the latest permanent detection points and variable detection points, including:

[0028] Import the real-time sensing data and wind direction positioning method of the off-field sensors into the AI; update the environmental monitoring points and wind speed monitoring points in the duck house area in real time based on the AI data processing, and update the in-field wind speed standard and variable detection points based on the latest obtained environmental monitoring points and wind speed monitoring points, where the positions of the permanent detection points remain unchanged.

[0029] Furthermore, the management of the breeding duck farm environment based on the latest permanent detection points and variable detection points also includes:

[0030] Place environmental sensors at the permanent detection points and the latest variable detection points, and adjust the ventilable area of the duck house based on the sensing data of the environmental sensors until the data of all environmental sensors are standard data, where the standard data is the environmental data that allows the breeding ducks to grow normally.

[0031] In a second aspect, the present application also provides an optimization system for the management of the breeding duck farm environment based on AI analysis, including a wind speed environment detection module, an environmental analysis fixed-point module, and an AI management optimization module;

[0032] The wind speed environment detection module is used to obtain the site design drawing of the breeding duck farm and obtain the ventilable peripheral area of the breeding duck farm based on the site design drawing; place wind speed sensors in the ventilable peripheral area, and use the wind direction positioning method based on the sensing data of the wind speed sensors to obtain the environmental monitoring points and wind speed monitoring points in the breeding duck farm;

[0033] The environmental analysis fixed-point module is used to screen the wind speed monitoring points based on the wind speed sensors, and obtain the in-farm wind speed standard based on the screening results, where the in-farm wind speed standard includes the in-farm direction and the in-farm wind speed; screen the environmental monitoring points based on the in-farm wind speed standard, and obtain the permanent detection points and variable detection points based on the screening results;

[0034] The AI management optimization module is used to import the real-time sensing data of the wind speed sensors and the wind direction positioning method into the AI, obtain the environmental monitoring points and wind speed monitoring points in real time based on the AI, and update the in-farm wind speed standard, permanent detection points, and variable detection points; manage the environment of the breeding duck farm based on the latest permanent detection points and variable detection points.

[0035] Advantages of the present invention: The present application first obtains the site design drawing of the breeding duck farm and obtains the ventilable peripheral area; places wind speed sensors in the ventilable peripheral area, and uses the wind direction positioning method based on the sensing data of the wind speed sensors to obtain the environmental monitoring points and wind speed monitoring points in the breeding duck farm. The advantage of this is that by placing wind speed sensors and obtaining environmental monitoring points and wind speed monitoring points, it is possible to obtain monitorable points in areas with a relatively large air circulation rate, that is, a relatively fast wind speed, and areas with a relatively small air circulation rate, that is, a relatively slow wind speed, in the duck house of the breeding duck farm, which helps to collect environmental data in the duck house during subsequent analysis and prevent the problem of inaccurate environmental data obtained due to the inability to determine the installation position of the sensors based on the environmental conditions in the breeding duck farm;

[0036] This application also screens the wind speed monitoring points based on the wind speed sensor, and obtains the in-field wind speed standard based on the screening results; screens the environmental monitoring points based on the in-field wind speed standard, and obtains the permanent detection points and variable detection points based on the screening results; imports the real-time sensing data of the wind speed sensor and the wind direction positioning method into the AI, and obtains the environmental monitoring points and wind speed monitoring points in real time based on the AI, and updates the in-field wind speed standard, permanent detection points and variable detection points; finally, manages the environment of the breeding duck farm based on the latest permanent detection points and variable detection points. The advantage of this is that by obtaining the in-field wind speed standard, it is possible to obtain the air circulation in the duck house of the breeding duck farm, that is, the positions with faster wind speed; and based on the in-field wind speed standard to obtain the regular detection points and variable detection points, it is possible to distinguish the points in the duck house that are greatly affected by air circulation and the points that are less affected by air circulation, so as to flexibly change the installation position of the sensor in the subsequent environmental data collection to ensure more comprehensive collection of environmental data in the duck house. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 is a block diagram of the principle of the system of the present invention;

[0038] Figure 2 is a flowchart of the steps of the method of the present invention;

[0039] Figure 3 is a schematic diagram of obtaining the wind speed placement points of the present invention;

[0040] Figure 4 is a schematic diagram of the positions of the wind speed placement points and the different-direction monitoring points of the present invention;

[0041] Figure 5 is a schematic diagram of the structure of the electronic device of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0042] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0043] Example 1, please refer to Figure 1 As shown, this application provides an optimized system for the environmental management of a breeding duck farm based on AI analysis, including a wind speed and environment detection module, an environmental analysis and fixed-point module, and an AI management and optimization module;

[0044] The wind speed environment detection module is used to obtain the site design drawing of the breeding duck farm, and based on the site design drawing, obtain the ventilable peripheral area of the breeding duck farm; place wind speed sensors in the ventilable peripheral area, and use the wind direction positioning method based on the sensing data of the wind speed sensors to obtain the environmental monitoring points and wind speed monitoring points in the breeding duck farm;

[0045] The wind speed environment detection module includes a duck farm environment analysis unit, and the duck farm environment analysis unit is configured with a duck farm environment analysis strategy. The duck farm environment analysis strategy includes:

[0046] Obtain the site design drawing of the breeding duck farm, and record the area where the duck house is located in the site design drawing as the duck house area; record the area where air circulation is allowed in the duck house area as the ventilable area, and record the closed figure corresponding to the boundary of the duck house in the site design drawing as the duck house edge area; record the area where the ventilable area coincides with the duck house edge area as the ventilable peripheral area;

[0047] In the specific implementation process, when the ventilable area in the boundary of the duck house is marked in the site design drawing of the breeding duck farm, the marked ventilable area can be directly obtained and recorded as the ventilable peripheral area; by obtaining the ventilable peripheral area, it is helpful to obtain the installation positions of the off-site sensors in the subsequent analysis, so as to obtain the data corresponding to the ventilation state of the duck house, and then optimize the environmental management of the duck house in the breeding duck farm;

[0048] Record all independent areas in the ventilable peripheral area as ventilable sub-areas KZ1 to ventilable sub-areas KZ v ; For any ventilable sub-area KZ b , record the points where the ventilable sub-area KZ b coincides with the duck house edge area as boundary coincidence point A and boundary coincidence point B respectively, where b is a positive integer less than or equal to v and greater than or equal to 1; record the distance between boundary coincidence point A and boundary coincidence point B as the sub-area length;

[0049] When the sub-area length is greater than L, record the value obtained by dividing the sub-area length by L and rounding up as j, and evenly obtain j points on the line connecting boundary coincidence point A and boundary coincidence point B, and record them all as wind speed placement points; when the sub-area length is less than or equal to L, record the midpoint of the line connecting boundary coincidence point A and boundary coincidence point B as the wind speed placement point, where L is the minimum installation interval of the wind speed sensor;

[0050] In the specific implementation process, for example, in a data analysis, the obtained boundary coincidence point A and boundary coincidence point B are respectively as Figure 3As shown by AA1 and BB1 in , the length of the sub-region in DD1 is less than L, indicating that only one wind speed sensor can be placed between the boundary coincidence point A and the boundary coincidence point B. Therefore, a wind speed sensor can be placed at point OO1, which is the midpoint of the line connecting the boundary coincidence point A and the boundary coincidence point B, to detect the wind speed data here. In actual applications, the wind speed placement point can be obtained according to the positions where the wind speed sensor is allowed to be installed. The analysis in this embodiment is only to determine the number of wind speed placement points in the line connecting the boundary coincidence point A and the boundary coincidence point B. In addition, the length of the sub-region in DD2 is greater than L, indicating that the distance between the boundary coincidence point A and the boundary coincidence point B is relatively large, and multiple wind speed sensors can be placed. Given that L is obtained as 5 meters through data acquisition and the length of the sub-region in DD2 is 8 meters, two wind speed sensors can be placed in the line connecting the boundary coincidence point A and the boundary coincidence point B. Through analysis, the wind speed placement points are OO2 and OO3 respectively.

[0051] Obtain the wind speed placement points of all ventilable sub-regions KZ, place wind speed sensors at the wind speed placement points, and denote them as off-site sensors;

[0052] The wind direction positioning method includes: denoting the sensing data of all off-site sensors as wind speed sensing data; establishing a plane rectangular coordinate system with the units of both the X-axis and the Y-axis being m, and denoting it as the ventilation analysis coordinate system; placing the duck house area proportionally in the ventilation analysis coordinate system and marking the positions of the wind speed placement points;

[0053] In the ventilation analysis coordinate system: for any obtained wind speed sensing data, mark the wind speed and wind direction at the wind speed placement points based on the positions of the off-site sensors. Among them, a ray is drawn at the wind speed placement point based on the wind direction, and it is denoted as the ventilation ray. The direction of the ventilation ray is the orientation of the wind direction;

[0054] Obtain the ventilation rays corresponding to the wind speed sensing data; denote the intersection points of all ventilation rays in the duck house area as wind speed monitoring points, and denote the number of wind speed monitoring points as k; denote the independent areas divided by all ventilation rays in the duck house area as regular areas, and denote the top k regular areas arranged in descending order of area among all regular areas as regular detection areas; obtain the centers of the minimum circumscribed circles of all regular detection areas, and denote them as environmental monitoring points;

[0055] In the specific implementation process, in this embodiment, the wind speed monitoring points are the points affected by winds from multiple directions, that is, the points more affected by ventilation; the environmental monitoring points are the positions farther from the air circulation, that is, the points less affected by ventilation. Therefore, by obtaining the wind speed monitoring points and environmental monitoring points, environmental analysis can be carried out separately for the points with larger air circulation and the points with smaller air circulation in the duck house during subsequent analysis to ensure the comprehensiveness and accuracy of environmental analysis and environmental management optimization.

[0056] The environmental analysis fixed-point module is used to screen wind speed monitoring points based on a wind speed sensor, and obtain the in-site wind speed standard based on the screening results. The in-site wind speed standard includes the in-site direction and the in-site wind speed. Screen environmental monitoring points based on the in-site wind speed standard, and obtain permanent detection points and variable detection points based on the screening results;

[0057] The environmental analysis fixed-point module includes an environmental analysis fixed-point unit, and the environmental analysis fixed-point unit is configured with an environmental analysis fixed-point strategy. The environmental analysis fixed-point strategy includes:

[0058] Place wind speed sensors at all wind speed monitoring points and record them as in-site sensors; mark the wind speed and wind direction at the wind speed monitoring points based on the sensing data of the in-site sensors; for any wind speed monitoring point: when the marked wind direction at the wind speed monitoring point is the same as the direction of the ventilation ray where the wind speed monitoring point is located, record the wind speed monitoring point as a co-directional monitoring point; when the marked wind direction at the wind speed monitoring point is different from the direction of the ventilation ray where the wind speed monitoring point is located, record the wind speed monitoring point as a counter-directional monitoring point;

[0059] When the number of co-directional monitoring points is greater than the number of counter-directional monitoring points, use the co-directional analysis algorithm to obtain the co-directional wind difference of each co-directional monitoring point, and record the marked wind speed and wind direction of the co-directional monitoring point corresponding to the largest co-directional wind difference as the in-site wind speed and the in-site wind direction respectively. The co-directional analysis algorithm is: Z = Z0 - Z1, where Z is the co-directional wind difference, Z0 is the marked wind speed of the co-directional monitoring point, and Z1 is the marked wind speed of the wind speed placement point in the ventilation ray where the co-directional monitoring point is located;

[0060] In a specific implementation process, for example, in a data analysis, the marked wind speed of the co-directional monitoring point is 5 m / s, and the marked wind speed of the wind speed placement point in the ventilation ray where the co-directional monitoring point is located is 3 m / s. Then, through calculation, the co-directional wind difference is 2 m / s. By obtaining the co-directional wind difference, the point with a faster wind speed change among the co-directional monitoring points can be obtained, that is, the point that can represent a larger air circulation rate in the duck house, which helps to analyze whether the environmental monitoring points are affected by air circulation during subsequent analysis, and then screen the environmental monitoring points;

[0061] When the number of co-directional monitoring points is less than or equal to the number of counter-directional monitoring points, use the counter-directional analysis algorithm to obtain the counter-directional wind difference of each counter-directional monitoring point, and record the marked wind speed and wind direction of the counter-directional monitoring point corresponding to the largest counter-directional wind difference as the in-site wind speed and the in-site wind direction respectively. The counter-directional analysis algorithm is: D = d - β, where D is the counter-directional wind difference, β is the marked wind speed of the wind speed placement point in the ventilation ray where the counter-directional monitoring point is located, and d is the component of the marked wind speed of the counter-directional monitoring point in the direction of the ventilation ray where the counter-directional monitoring point is located;

[0062] In the specific implementation process, for example, during a data analysis, the marked wind speed at the wind speed placement point in the ventilation ray where the opposite-direction monitoring point is located is 3 m / s, and the obtained ventilation ray is as follows Figure 4 shown, where the point where △ is located is the wind speed placement point, the point where ○ is located is the opposite-direction monitoring point, and at the same time, the direction indicated by the arrow T is the wind direction of the opposite-direction monitoring point. The wind speed of the opposite-direction monitoring point is 5 m / s, and the included angle α is 30°. Then, through analysis, it can be obtained that the component of the marked wind speed of the opposite-direction monitoring point in the direction of the ventilation ray where the opposite-direction monitoring point is located is 4 m / s. Then, through calculation, it can be obtained that the opposite-direction wind difference is 1; by calculating the opposite-direction wind difference, the wind speed difference in the same direction when the wind speed of the opposite-direction monitoring point is affected by the wind speed at the wind speed placement point can be obtained. The larger the opposite-direction wind difference, the greater the influence of the wind speed at the wind speed placement point on the wind speed of the opposite-direction monitoring point;

[0063] Use wind speed sensors to obtain the wind direction of each environmental monitoring point respectively; for any environmental monitoring point, when the included angle between the wind direction of the environmental monitoring point and the in-field direction is less than 90°, the environmental monitoring point is recorded as a variable detection point;

[0064] When the included angle between the wind direction of the environmental monitoring point and the in-field direction is equal to 90°, the environmental monitoring point is recorded as a permanent detection point;

[0065] In the specific implementation process, by screening the environmental monitoring points to obtain variable detection points and permanent detection points, it is possible to respectively obtain the points in the duck house that are more affected by air circulation and are far from the position of air circulation, and the points that are less affected by air circulation and are far from the position of air circulation. In subsequent data acquisition, under the condition of reducing the interference of air circulation on the environment in the duck house, data can be collected separately for the positions in the duck house where the air is more affected by the outside and the positions where the air is less affected by the outside, so as to ensure more comprehensive collection of environmental data in the duck house.

[0066] The AI management optimization module is used to import the real-time sensing data of the wind speed sensor and the wind direction positioning method into the AI, and based on the AI, obtain the environmental monitoring points and wind speed monitoring points in real time, and update the in-field wind speed standard, permanent detection points, and variable detection points; manage the environment of the breeding duck farm based on the latest permanent detection points and variable detection points;

[0067] The AI management optimization module includes a duck farm management optimization unit, and the duck farm management optimization unit is configured with a duck farm management optimization strategy, and the duck farm management optimization strategy includes:

[0068] Import the real-time sensing data of the off-site sensor and the wind direction positioning method into the AI; based on the AI data processing, update the environmental monitoring points and wind speed monitoring points in the duck house area in real time, and update the in-field wind speed standard and variable detection points based on the latest obtained environmental monitoring points and wind speed monitoring points, where the position of the permanent detection point remains unchanged;

[0069] In the specific implementation process, since the resident detection point is less affected by air circulation and is far away from the location of air circulation, when the variable detection point is updated, the resident detection point is less affected, so the location of the resident detection point does not need to be changed;

[0070] Environmental sensors are placed at permanent detection points and the latest change detection points, and the ventilated area of the duck house is adjusted based on the sensing data of the environmental sensors until the data of all environmental sensors are standard data, where the standard data is environmental data that allows the normal growth of breeding ducks.

[0071] Example 2, please refer to Figure 2 As shown, this application also provides an environmental management optimization method for a breeding duck farm based on AI analysis, comprising the following steps:

[0072] Step S1, obtaining a site design drawing of a breeding duck farm, and obtaining a ventilated peripheral area of the breeding duck farm based on the site design drawing; placing a wind speed sensor in the ventilated peripheral area, and obtaining environmental monitoring points and wind speed monitoring points in the breeding duck farm using a wind direction positioning method based on sensor data from the wind speed sensor;

[0073] Step S1 includes: step S101, obtaining a site design drawing of a breeding duck farm, and recording the area where the duck house is located in the site design drawing as the duck house area; recording the area in the duck house area where air circulation is allowed as the ventilated area, and recording the closed figure corresponding to the boundary of the duck house in the site design drawing as the duck house edge area; recording the area where the ventilated area overlaps with the duck house edge area as the ventilated peripheral area;

[0074] Step S102: All independent areas in the ventilated peripheral area are recorded as ventilated sub-areas KZ1 to KZ2. v ; For any ventilated sub-region KZ b , the ventilated sub-area KZ b The points that coincide with the edge of the duck house are recorded as boundary coincidence point A and boundary coincidence point B, where b is a positive integer less than or equal to v and greater than or equal to 1; the distance between boundary coincidence point A and boundary coincidence point B is recorded as the sub-region length;

[0075] Step S103: When the sub-region length is greater than L, the value obtained by dividing the sub-region length by L and rounding up is recorded as j. J points are evenly obtained on the line connecting the boundary coincidence point A and the boundary coincidence point B, and each is recorded as a wind speed placement point. When the sub-region length is less than or equal to L, the midpoint of the line connecting the boundary coincidence point A and the boundary coincidence point B is recorded as a wind speed placement point, where L is the minimum installation interval of the wind speed sensor.

[0076] Step S104: Obtain the wind speed placement points of all ventilable sub - regions KZ, place wind speed sensors at the wind speed placement points, and denote them as off - site sensors;

[0077] The wind direction positioning method in Step S105 includes: Step S1051: Denote the sensing data of all off - site sensors as wind speed sensing data; establish a plane rectangular coordinate system with the unit of both the X - axis and the Y - axis being m, and denote it as the ventilation analysis coordinate system; place the duck house area proportionally in the ventilation analysis coordinate system, and mark the positions of the wind speed placement points;

[0078] In the ventilation analysis coordinate system in Step S1052: For any obtained wind speed sensing data, based on the position of the off - site sensor, mark the wind speed and wind direction at the wind speed placement point. Among them, based on the wind direction, draw a ray at the wind speed placement point, and denote it as the ventilation ray. The direction of the ventilation ray is the orientation of the wind direction;

[0079] In Step S1053: Obtain the ventilation rays corresponding to the wind speed sensing data; denote the intersection points of all ventilation rays in the duck house area as wind speed monitoring points, and denote the number of wind speed monitoring points as k; denote the independent regions divided by all ventilation rays in the duck house area as regular regions, and denote the top k regular regions arranged in descending order of area among all regular regions as regular detection regions; obtain the centers of the minimum circumscribed circles of all regular detection regions, and denote them as environmental monitoring points.

[0080] In Step S2: Screen the wind speed monitoring points based on the wind speed sensors, and obtain the in - field wind speed standard based on the screening results. The in - field wind speed standard includes the in - field direction and the in - field wind speed; screen the environmental monitoring points based on the in - field wind speed standard, and obtain the permanent detection points and the variable detection points based on the screening results;

[0081] Step S2 includes: Step S201: Place wind speed sensors at all wind speed monitoring points, and denote them as in - field sensors; mark the wind speed and wind direction at the wind speed monitoring points based on the sensing data of the in - field sensors; for any wind speed monitoring point: when the marked wind direction at the wind speed monitoring point is the same as the direction of the ventilation ray where the wind speed monitoring point is located, denote the wind speed monitoring point as a co - direction monitoring point; when the marked wind direction at the wind speed monitoring point is different from the direction of the ventilation ray where the wind speed monitoring point is located, denote the wind speed monitoring point as a non - co - direction monitoring point;

[0082] Step S202: When the number of co-directional monitoring points is greater than that of counter-directional monitoring points, use the co-directional analysis algorithm to obtain the co-directional wind difference of each co-directional monitoring point, and record the marked wind speed and wind direction of the co-directional monitoring point corresponding to the maximum co-directional wind difference as the in-field wind speed and in-field wind direction respectively. The co-directional analysis algorithm is: Z = Z0 - Z1, where Z is the co-directional wind difference, Z0 is the marked wind speed of the co-directional monitoring point, and Z1 is the marked wind speed of the wind speed placement point in the ventilation ray where the co-directional monitoring point is located.

[0083] Step S203: When the number of co-directional monitoring points is less than or equal to that of counter-directional monitoring points, use the counter-directional analysis algorithm to obtain the counter-directional wind difference of each counter-directional monitoring point, and record the marked wind speed and wind direction of the counter-directional monitoring point corresponding to the maximum counter-directional wind difference as the in-field wind speed and in-field wind direction respectively. The counter-directional analysis algorithm is: D = d - β, where D is the counter-directional wind difference, β is the marked wind speed of the wind speed placement point in the ventilation ray where the counter-directional monitoring point is located, and d is the component of the marked wind speed of the counter-directional monitoring point in the direction of the ventilation ray where the counter-directional monitoring point is located.

[0084] Step S204: Use a wind speed sensor to obtain the wind direction of each environmental monitoring point respectively; for any environmental monitoring point, when the angle between the wind direction of the environmental monitoring point and the in-field direction is less than 90°, record the environmental monitoring point as a variable detection point.

[0085] Step S205: When the angle between the wind direction of the environmental monitoring point and the in-field direction is equal to 90°, record the environmental monitoring point as a permanent detection point.

[0086] Step S3: Import the real-time sensing data of the wind speed sensor and the wind direction positioning method into the AI, and based on the AI, obtain the environmental monitoring points and wind speed monitoring points in real time, and update the in-field wind speed standard, permanent detection points and variable detection points; manage the environment of the breeding duck farm based on the latest permanent detection points and variable detection points.

[0087] Step S3 includes: Step S301: Import the real-time sensing data of the off-site sensor and the wind direction positioning method into the AI; based on the AI data processing, update the environmental monitoring points and wind speed monitoring points in the duck house area in real time, and update the in-field wind speed standard and variable detection points based on the latest obtained environmental monitoring points and wind speed monitoring points, where the position of the permanent detection point remains unchanged.

[0088] Step S302: Place environmental sensors at the permanent detection points and the latest variable detection points, and adjust the ventilable area of the duck house based on the sensing data of the environmental sensors until the data of all environmental sensors are standard data, where the standard data is the environmental data that allows the breeding ducks to grow normally.

[0089] Example 3, please refer to Figure 5As shown Figure 5 The figure illustrates a schematic structural diagram of an electronic device, which may include: a processor, a communication interface, a memory, and a communication bus. Among them, the processor, the communication interface, and the memory complete communication with each other through the communication bus. The memory stores computer-readable instructions, and the processor can call the instructions in the memory. When the computer-readable instructions are executed by the processor, the steps in the method for optimizing the management of the breeding duck farm environment based on AI analysis are run to achieve the following functions: First, obtain the site design drawing of the breeding duck farm and obtain the ventilable peripheral area; place a wind speed sensor in the ventilable peripheral area, and use the wind direction positioning method based on the sensing data of the wind speed sensor to obtain the environmental monitoring points and wind speed monitoring points in the breeding duck farm, and also screen the wind speed monitoring points based on the wind speed sensor, and obtain the in-farm wind speed standard based on the screening results; then screen the environmental monitoring points based on the in-farm wind speed standard, and obtain the permanent detection points and variable detection points based on the screening results; import the real-time sensing data of the wind speed sensor and the wind direction positioning method into AI, and obtain the environmental monitoring points and wind speed monitoring points in real time based on AI, and update the in-farm wind speed standard, permanent detection points, and variable detection points; finally, manage the environment of the breeding duck farm based on the latest permanent detection points and variable detection points.

[0090] In addition, when the logical instructions in the above-mentioned memory are implemented in the form of software function units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present application. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disks, or optical discs that can store program codes.

[0091] Embodiment 4. The present application also provides a computer-readable storage medium. The present application provides a storage medium on which a computer program is stored. When the computer program is executed by a processor, it runs the steps in the above-mentioned method for optimizing the environmental management of a breeding duck farm based on AI analysis to achieve the following functions: First, obtain the site design drawing of the breeding duck farm and obtain the ventilable peripheral area; Place wind speed sensors in the ventilable peripheral area, and use the wind direction positioning method based on the sensing data of the wind speed sensors to obtain the environmental monitoring points and wind speed monitoring points in the breeding duck farm, and also screen the wind speed monitoring points based on the wind speed sensors, and obtain the in-farm wind speed standard based on the screening results; Then screen the environmental monitoring points based on the in-farm wind speed standard, and obtain the permanent detection points and variable detection points based on the screening results; Import the real-time sensing data of the wind speed sensors and the wind direction positioning method into AI, and use AI to obtain the environmental monitoring points and wind speed monitoring points in real time, and update the in-farm wind speed standard, permanent detection points and variable detection points; Finally, manage the environment of the breeding duck farm based on the latest permanent detection points and variable detection points.

[0092] Through the description of the above embodiments, the embodiments of the present invention can be provided as a method, a system or a computer program product. Based on such an understanding, the above technical solution, in essence, or the part that makes a contribution to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0093] In the embodiments provided by the present application, it should be understood that the disclosed system or method can be implemented in other ways. The above-described embodiments are merely illustrative. For example, the division of modules or units is only a logical function division, and there may be other division methods in actual implementation. For another example, multiple modules or units can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed mutual coupling or direct coupling or communication connection can be through some communication interfaces. The indirect coupling or communication connection of systems, modules and units can be in an electrical, mechanical or other form.

[0094] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, and are not intended to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. An optimization method for the environmental management of a breeding duck farm based on AI analysis, characterized in that, It includes the following steps: Obtain the site design drawing of the breeding duck farm, and based on the site design drawing, obtain the ventilable peripheral area of the breeding duck farm; Place wind speed sensors in the ventilable peripheral area, and based on the sensing data of the wind speed sensors, use the wind direction positioning method to obtain the environmental monitoring points and wind speed monitoring points in the breeding duck farm; Screen the wind speed monitoring points based on the wind speed sensors, and based on the screening results, obtain the in-farm wind speed standard, where the in-farm wind speed standard includes the in-farm direction and the in-farm wind speed; Screen the environmental monitoring points based on the in-farm wind speed standard, and based on the screening results, obtain the permanent detection points and variable detection points; Import the real-time sensing data of the wind speed sensors and the wind direction positioning method into the AI, and based on the AI, obtain the environmental monitoring points and wind speed monitoring points in real time, and update the in-farm wind speed standard, permanent detection points and variable detection points; Manage the breeding duck farm environment based on the latest permanent detection points and variable detection points; The wind direction positioning method includes: Record the sensing data of all off-site sensors as wind speed sensing data; Establish a plane rectangular coordinate system with the units of both the X-axis and the Y-axis being m, and denote it as the ventilation analysis coordinate system; Place the duck house area proportionally in the ventilation analysis coordinate system, and mark the positions of the wind speed placement points; The wind direction positioning method also includes: In the ventilation analysis coordinate system: For any obtained wind speed sensing data, mark the wind speed and wind direction at the wind speed placement point based on the position of the off-site sensor. Among them, based on the wind direction, draw a ray at the wind speed placement point, and denote it as the ventilation ray. The direction of the ventilation ray is the orientation of the wind direction; Obtain the ventilation ray corresponding to the wind speed sensing data; Denote the intersection point of all ventilation rays in the duck house area as the wind speed monitoring point, and denote the number of wind speed monitoring points as k; Denote the independent areas divided by all ventilation rays in the duck house area as the regular areas, and denote the first k regular areas arranged in descending order of area among all regular areas as the regular detection areas; Obtain the center of the minimum circumscribed circle of all regular detection areas, and denote it as the environmental monitoring point.

2. The optimized method for duck breeding farm environment management based on AI analysis according to claim 1, wherein, Obtain the site design drawing of the breeding duck farm, and based on the site design drawing, obtaining the ventilable peripheral area of the breeding duck farm includes: Obtain the site design drawing of the breeding duck farm, and denote the area where the duck house is located in the site design drawing as the duck house area; Denote the area where air circulation is allowed in the duck house area as the ventilable area, and denote the closed figure corresponding to the boundary of the duck house in the site design drawing as the duck house edge area; Denote the area where the ventilable area coincides with the duck house edge area as the ventilable peripheral area; All independent areas in the ventilable peripheral area are respectively denoted as ventilable sub-areas KZ1 to ventilable sub-area KZ v ; For any ventilable sub-area KZ b , the points where the ventilable sub-area KZ b coincides with the edge area of the duck house are respectively denoted as boundary coincidence point A and boundary coincidence point B, where b is a positive integer less than or equal to v and greater than or equal to 1; The distance between the boundary coincidence point A and the boundary coincidence point B is denoted as the sub-area length.

3. The optimized method for duck farm environment management based on AI analysis according to claim 2, wherein Placing wind speed sensors in the ventilable peripheral area includes: When the length of the sub-region is greater than L, denote the value obtained by dividing the length of the sub-region by L and rounding up as j, and evenly obtain j points on the line connecting the boundary coincidence point A and the boundary coincidence point B, and all are denoted as wind speed placement points; When the length of the sub-region is less than or equal to L, denote the midpoint of the line connecting the boundary coincidence point A and the boundary coincidence point B as the wind speed placement point, where L is the minimum installation interval of the wind speed sensor; Obtain the wind speed placement points of all ventilable sub-regions KZ, place wind speed sensors at the wind speed placement points, and denote them as off-site sensors.

4. The optimized method for duck breeding farm environment management based on AI analysis according to claim 3, wherein, Screen the wind speed monitoring points based on the wind speed sensors, and obtain the in-field wind speed standard based on the screening results, including: Place wind speed sensors at all wind speed monitoring points, and record them as in-field sensors; mark the wind speed and wind direction at the wind speed monitoring points based on the sensing data of the in-field sensors; for any wind speed monitoring point: when the marked wind direction at the wind speed monitoring point is the same as the direction of the ventilation ray where the wind speed monitoring point is located, record the wind speed monitoring point as a co-directional monitoring point; when the marked wind direction at the wind speed monitoring point is different from the direction of the ventilation ray where the wind speed monitoring point is located, record the wind speed monitoring point as a non-co-directional monitoring point; When the number of co-directional monitoring points is greater than that of non-co-directional monitoring points, use the co-directional analysis algorithm to obtain the co-directional wind difference of each co-directional monitoring point, and record the marked wind speed and wind direction of the co-directional monitoring point corresponding to the maximum co-directional wind difference as the in-field wind speed and in-field wind direction respectively, where the co-directional analysis algorithm is: Z = Z0 - Z1, Z is the co-directional wind difference, Z0 is the marked wind speed of the co-directional monitoring point, and Z1 is the marked wind speed of the wind speed placement point in the ventilation ray where the co-directional monitoring point is located; When the number of co-directional monitoring points is less than or equal to that of non-co-directional monitoring points, use the non-co-directional analysis algorithm to obtain the non-co-directional wind difference of each non-co-directional monitoring point, and record the marked wind speed and wind direction of the non-co-directional monitoring point corresponding to the maximum non-co-directional wind difference as the in-field wind speed and in-field wind direction respectively, where the non-co-directional analysis algorithm is: D = d - β, D is the non-co-directional wind difference, β is the marked wind speed of the wind speed placement point in the ventilation ray where the non-co-directional monitoring point is located, and d is the component of the marked wind speed of the non-co-directional monitoring point in the direction of the ventilation ray where the non-co-directional monitoring point is located; 5. The optimization method for the environment management of a breeding duck farm based on AI analysis according to claim 4, wherein Screen the environmental monitoring points based on the in-field wind speed standard, and obtain the permanent detection points and variable detection points based on the screening results, including: Use wind speed sensors to obtain the wind direction of each environmental monitoring point respectively; for any environmental monitoring point, when the included angle between the wind direction of the environmental monitoring point and the in-field direction is less than 90°, record the environmental monitoring point as a variable detection point; When the included angle between the wind direction of the environmental monitoring point and the in-field direction is equal to 90°, record the environmental monitoring point as a permanent detection point.

6. The optimization method for the environmental management of a breeding duck farm based on AI analysis according to claim 5, wherein Manage the environment of the breeding duck farm based on the latest permanent detection points and variable detection points, including: Import the real-time sensing data and wind direction positioning method of the off-field sensors into the AI; update the environmental monitoring points and wind speed monitoring points in the duck house area in real time based on the AI data processing, and update the in-field wind speed standard and variable detection points based on the latest obtained environmental monitoring points and wind speed monitoring points, where the positions of the permanent detection points remain unchanged.

7. The optimization method for the environment management of a breeding duck farm based on AI analysis according to claim 6, characterized in that, Managing the environment of the breeding duck farm based on the latest permanent detection points and variable detection points also includes: Place environmental sensors at the permanent detection points and the latest variable detection points, and adjust the ventilable area of the duck house based on the sensing data of the environmental sensors until the data of all environmental sensors are standard data, where the standard data is the environmental data that allows the breeding ducks to grow normally.

8. An optimization system for the environmental management of a breeding duck farm based on AI analysis, which is used to implement the optimization method for the environmental management of a breeding duck farm based on AI analysis according to any one of claims 1-7, characterized in that, Including a wind speed and environment detection module, an environmental analysis and fixed-point module, and an AI management and optimization module; The wind speed environment detection module is used to obtain the site design drawing of the breeding duck farm, and based on the site design drawing, obtain the ventilable peripheral area of the breeding duck farm; place wind speed sensors in the ventilable peripheral area, and use the wind direction positioning method based on the sensing data of the wind speed sensors to obtain the environmental monitoring points and wind speed monitoring points in the breeding duck farm; The environmental analysis fixed-point module is used to screen the wind speed monitoring points based on the wind speed sensors, and obtain the in-farm wind speed standard based on the screening results, where the in-farm wind speed standard includes the in-farm direction and the in-farm wind speed; screen the environmental monitoring points based on the in-farm wind speed standard, and obtain the permanent detection points and variable detection points based on the screening results; The AI management optimization module is used to import the real-time sensing data of the wind speed sensors and the wind direction positioning method into the AI, obtain the environmental monitoring points and wind speed monitoring points in real time based on the AI, and update the in-farm wind speed standard, permanent detection points and variable detection points; manage the environment of the breeding duck farm based on the latest permanent detection points and variable detection points.

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