Bullfrog breeding state monitoring system and method

Abstract

The invention provides a bullfrog breeding state monitoring system and method, and the method comprises the steps: carrying out the global visual recognition of a breeding space, obtaining the distribution state information of bullfrogs in the breeding space, determining a bullfrog aggregation abnormality sub-region in the breeding space, and carrying out the large-scale group recognition of the breeding space, and limiting a disease concentration occurrence region; performing visual identification on the bullfrog gathering abnormal sub-region to obtain respective appearance feature information and behavior action feature information of all bullfrogs in the sub-region, so as to identify sick bullfrogs in the sub-region, performing screening identification on the bullfrogs from an individual level, and accurately searching a disease source; and the diseased bullfrogs are dynamically tracked to obtain interactive behavior information of the diseased bullfrogs and other bullfrogs, so that a disease propagation path in the culture space is determined, a to-be-disinfected range in the culture space is calibrated, the propagation path of diseases in the culture area is dynamically tracked and identified, bullfrog diseases are prevented and treated in time, and bullfrog culture loss is reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of intelligent monitoring of the aquaculture industry, and in particular to a bullfrog breeding state monitoring system and method. BACKGROUND

[0002] Bullfrog breeding belongs to intensive breeding industry, and disease prevention is an important part thereof. Among them, red leg disease, crooked head disease, and skin rot disease are caused by bacterial infection. Especially under the requirement of pursuing intensification and high efficiency of the existing bullfrog breeding, once individual bullfrogs are infected with viruses, they can easily spread rapidly in the entire breeding farm, thereby causing a large number of bullfrogs to be infected and diseased. Considering the large number of bullfrogs in the breeding farm and the frequent change of the activity position of the bullfrogs, it is not feasible to detect all the bullfrogs in the breeding farm one by one, and it will also increase the breeding cost. How to conduct investigation and detection on bullfrogs from the whole to the individual and from a large range to a small range in the breeding farm, timely find bullfrog individuals in the early stage of disease, and dynamically track and identify the transmission path of bacterial diseases in the breeding farm, has a very important significance for timely prevention and treatment of bullfrog diseases and reduction of bullfrog breeding losses. SUMMARY

[0003] The present application aims to provide a bullfrog breeding state monitoring system and method, which globally visually identifies the breeding space, obtains the distribution state information of the bullfrogs in the breeding space, determines the abnormal sub-region of bullfrog aggregation in the breeding space, and limits the region where the disease occurs in a large range of group identification of the breeding space. The visual identification of the abnormal sub-region of bullfrog aggregation obtains the shape feature information and behavior action feature information of all bullfrogs in the sub-region, thereby identifying the diseased bullfrogs in the sub-region, screening and identifying the bullfrogs from the individual level, and accurately finding the source of the disease. The diseased bullfrogs are also dynamically tracked to obtain the interaction behavior information of the diseased bullfrogs and other bullfrogs, thereby determining the disease transmission path in the breeding space, and thereby determining the disinfection treatment range in the breeding space, dynamically tracking and identifying the transmission path of the disease in the breeding area, and timely preventing and treating the bullfrog diseases and reducing the bullfrog breeding losses.

[0004] The present application is achieved by the following technical solutions:

[0005] A bullfrog breeding state monitoring system, comprising:

[0006] A first visual identification module for globally visually identifying the breeding space, and obtaining the distribution state information of the bullfrogs in the breeding space;

[0007] An abnormal sub-region determination module for determining the abnormal sub-region of bullfrog aggregation in the breeding space based on the distribution state information;

[0008] a second visual recognition module, configured to perform visual recognition on the abnormal aggregation sub-region of the bullfrog to obtain respective shape feature information and behavior action feature information of all bullfrogs in the sub-region;

[0009] a diseased bullfrog identification module, configured to identify the diseased bullfrog in the sub-region based on the shape feature information and the behavior action feature information;

[0010] a bullfrog interaction behavior determination module, configured to dynamically track the diseased bullfrog to obtain interaction behavior information of the diseased bullfrog and other bullfrogs;

[0011] a range to be disinfected determination module, configured to determine a disease transmission path in the breeding space based on the interaction behavior information, so as to demarcate a range to be disinfected in the breeding space.

[0012] Optionally, the first visual recognition module is configured to perform global range visual recognition on the breeding space to obtain distribution state information of the bullfrog in the breeding space, including:

[0013] performing partition shooting and image splicing on the breeding space based on water body and land distribution positions of the breeding space to obtain a global range image of the breeding space; performing bullfrog contour recognition on the global range image to obtain the distribution state information of the bullfrog in the breeding space; wherein the distribution state information includes bullfrog spatial distribution density information and bullfrog separation distance information;

[0014] The abnormal sub-region determination module is configured to determine the abnormal aggregation sub-region of the bullfrog in the breeding space based on the distribution state information, including:

[0015] performing time domain change analysis on the bullfrog spatial distribution density information and the bullfrog separation distance information to obtain respective bullfrog spatial distribution density change rates and bullfrog average separation distance change rates of all grid sub-regions in the breeding space; and determining a part of the grid sub-regions as the abnormal aggregation sub-region of the bullfrog based on the bullfrog spatial distribution change rates and the bullfrog average separation distance change rates.

[0016] Optionally, the change of the abnormal aggregation sub-region of the bullfrog is monitored in real time, and it is determined whether to perform abnormal early warning according to the change of the abnormal aggregation sub-region of the bullfrog, including:

[0017] The change of the abnormal aggregation sub-region of the bullfrog in each preset unit time period is monitored, wherein the change of the abnormal aggregation sub-region of the bullfrog includes that the abnormal aggregation sub-region of the bullfrog is changed into a non-abnormal sub-region and that the non-abnormal sub-region is changed into the abnormal aggregation sub-region of the bullfrog;

[0018] extracting the number of regions in which the bullfrog gathering abnormal sub-region turns into the non-abnormal sub-region and the number of regions corresponding to the non-abnormal sub-region turning into the bullfrog gathering abnormal sub-region in each unit time period;

[0019] extracting the average value of the bullfrog spatial distribution density change rate corresponding to the number of regions in which the bullfrog gathering abnormal sub-region turns into the non-abnormal sub-region and the average value of the bullfrog average interval change rate as the first average value data;

[0020] extracting the average value of the bullfrog spatial distribution density change rate corresponding to the number of regions in which the non-abnormal sub-region turns into the bullfrog gathering abnormal sub-region and the average value of the bullfrog average interval change rate as the second average value data;

[0021] acquiring the region change coefficient corresponding to each unit time period by combining the first average value data and the second average value data with the number of regions in which the bullfrog gathering abnormal sub-region turns into the non-abnormal sub-region and the number of regions corresponding to the non-abnormal sub-region turning into the bullfrog gathering abnormal sub-region in each unit time period;

[0022] wherein the region change coefficient is acquired by the following formula:

[0023]

[0024] wherein S represents the region change coefficient; M 01 represents the number of regions in which the bullfrog gathering abnormal sub-region turns into the non-abnormal sub-region in each unit time period; M 02 represents the number of regions corresponding to the non-abnormal sub-region turning into the bullfrog gathering abnormal sub-region in each unit time period; M represents the total number of all sub-regions under the breeding space; λ 01 and λ 02 respectively represent the first factor and the second factor, and the first factor and the second factor are acquired by the following formula:

[0025]

[0026] wherein U 01 and U 02 respectively represent the average value of the bullfrog spatial distribution density change rate corresponding to the number of regions in which the bullfrog gathering abnormal sub-region turns into the non-abnormal sub-region and the average value of the bullfrog spatial distribution density change rate corresponding to the number of regions in which the non-abnormal sub-region turns into the bullfrog gathering abnormal sub-region; J 01 and J 02 respectively represent the average value of the bullfrog average interval change rate corresponding to the number of regions in which the bullfrog gathering abnormal sub-region turns into the non-abnormal sub-region and the average value of the bullfrog average interval change rate corresponding to the number of regions in which the non-abnormal sub-region turns into the bullfrog gathering abnormal sub-region; U yrepresents a first change rate threshold corresponding to a change rate of spatial distribution density of bullfrogs; y represents a second change rate threshold corresponding to a change rate of average interval of bullfrogs;

[0027] The area change coefficient is compared with a preset coefficient threshold.

[0028] When the area change coefficient is not lower than the preset coefficient threshold, an abnormal alarm is performed.

[0029] Optionally, the second visual recognition module is configured to perform visual recognition on the bullfrog aggregation abnormal sub-area to obtain respective shape feature information and behavior action feature information of all bullfrogs in the sub-area, including:

[0030] The bullfrog aggregation abnormal sub-area is dynamically visually recognized to obtain respective skin texture and color feature information and jumping action feature information of all bullfrogs in the sub-area; the jumping action feature information includes limb action posture and amplitude information of the bullfrog in the jumping process.

[0031] The diseased bullfrog identification module is configured to identify the diseased bullfrog in the sub-area based on the shape feature information and the behavior action feature information, including:

[0032] Based on the skin texture and color feature information, all suspected infected bullfrogs in the sub-area are determined; based on the jumping action feature information, activity sensitivity degrees of all suspected infected bullfrogs are determined, so as to identify the diseased bullfrog in all suspected infected bullfrogs.

[0033] Optionally, the bullfrog interaction behavior determination module is configured to dynamically track the diseased bullfrog to obtain interaction behavior information of the diseased bullfrog and other bullfrogs, including:

[0034] The diseased bullfrog is dynamically tracked based on the shape feature of the diseased bullfrog to obtain interaction behavior information of the diseased bullfrog and other bullfrogs; the interaction behavior information includes body part information and direct contact duration information of the diseased bullfrog and other bullfrogs.

[0035] The to-be-disinfected range determination module is configured to determine a disease transmission path in the breeding space based on the interaction behavior information, so as to demarcate a to-be-disinfected processing range in the breeding space, including:

[0036] Based on the interaction behavior information, a disease transmission path of the diseased bullfrog to other bullfrogs is determined; the disease transmission path refers to a transmission path of a disease from the diseased bullfrog to all other bullfrogs; based on an activity track of other bullfrogs in the breeding space, a to-be-disinfected processing range in the breeding space is demarcated.

[0037] A method for monitoring the status of bullfrog farming, comprising:

[0038] globally identifying the farming space visually to obtain distribution state information of bullfrogs in the farming space; based on the distribution state information, determining an abnormal bullfrog gathering sub-region in the farming space;

[0039] visually identifying the abnormal bullfrog gathering sub-region to obtain respective shape feature information and behavior action feature information of all bullfrogs in the sub-region; based on the shape feature information and the behavior action feature information, identifying sick bullfrogs in the sub-region;

[0040] dynamically tracking the sick bullfrogs to obtain interaction behavior information of the sick bullfrogs and other bullfrogs; based on the interaction behavior information, determining a disease transmission path in the farming space, thereby demarcating a range to be disinfected in the farming space.

[0041] Optionally, globally identifying the farming space visually to obtain distribution state information of bullfrogs in the farming space; based on the distribution state information, determining an abnormal bullfrog gathering sub-region in the farming space, comprising:

[0042] based on the water body and land distribution positions of the farming space, taking pictures of the farming space in different zones and splicing the images to obtain a global range image of the farming space; identifying the contours of bullfrogs in the global range image to obtain distribution state information of bullfrogs in the farming space; wherein the distribution state information comprises bullfrog spatial distribution density information and bullfrog separation distance information;

[0043] analyzing the time-domain changes of the bullfrog spatial distribution density information and the bullfrog separation distance information to obtain respective bullfrog spatial distribution density change rates and bullfrog average separation distance change rates of all grid sub-regions in the farming space; based on the bullfrog spatial distribution change rates and the bullfrog average separation distance change rates, determining a part of the grid sub-regions as abnormal bullfrog gathering sub-regions.

[0044] Optionally, monitoring the changes of the abnormal bullfrog gathering sub-regions in real time, and determining whether to issue an abnormality warning according to the changes of the abnormal bullfrog gathering sub-regions, comprising:

[0045] monitoring the changes of the abnormal bullfrog gathering sub-regions in each preset unit time period, wherein the changes of the abnormal bullfrog gathering sub-regions include the conversion of abnormal bullfrog gathering sub-regions into non-abnormal sub-regions and the conversion of non-abnormal sub-regions into abnormal bullfrog gathering sub-regions;

[0046] extracting the number of regions in which the bullfrog gathering abnormal sub-region turns into the non-abnormal sub-region and the number of regions corresponding to the non-abnormal sub-region turning into the bullfrog gathering abnormal sub-region in each unit time period;

[0047] extracting the average value of the bullfrog spatial distribution density change rate corresponding to the number of regions in which the bullfrog gathering abnormal sub-region turns into the non-abnormal sub-region and the average value of the bullfrog average interval change rate as the first average value data;

[0048] extracting the average value of the bullfrog spatial distribution density change rate corresponding to the number of regions in which the non-abnormal sub-region turns into the bullfrog gathering abnormal sub-region and the average value of the bullfrog average interval change rate as the second average value data;

[0049] acquiring the region change coefficient corresponding to each unit time period by combining the first average value data and the second average value data with the number of regions in which the bullfrog gathering abnormal sub-region turns into the non-abnormal sub-region and the number of regions corresponding to the non-abnormal sub-region turning into the bullfrog gathering abnormal sub-region in each unit time period;

[0050] wherein the region change coefficient is acquired by the following formula:

[0051]

[0052] wherein S represents the region change coefficient; M 01 represents the number of regions in which the bullfrog gathering abnormal sub-region turns into the non-abnormal sub-region in each unit time period; M 02 represents the number of regions corresponding to the non-abnormal sub-region turning into the bullfrog gathering abnormal sub-region in each unit time period; M represents the total number of all sub-regions under the breeding space; λ 01 and λ 02 respectively represent the first factor and the second factor, and the first factor and the second factor are acquired by the following formula:

[0053]

[0054] wherein U 01 and U 02 respectively represent the average value of the bullfrog spatial distribution density change rate corresponding to the number of regions in which the bullfrog gathering abnormal sub-region turns into the non-abnormal sub-region and the average value of the bullfrog spatial distribution density change rate corresponding to the number of regions in which the non-abnormal sub-region turns into the bullfrog gathering abnormal sub-region; J 01 and J 02 respectively represent the average value of the bullfrog average interval change rate corresponding to the number of regions in which the bullfrog gathering abnormal sub-region turns into the non-abnormal sub-region and the average value of the bullfrog average interval change rate corresponding to the number of regions in which the non-abnormal sub-region turns into the bullfrog gathering abnormal sub-region; U yrepresents a first change rate threshold corresponding to a change rate of spatial distribution density of bullfrogs; y represents a second change rate threshold corresponding to a change rate of average interval of bullfrogs;

[0055] The area change coefficient is compared with a preset coefficient threshold.

[0056] When the area change coefficient is not lower than the preset coefficient threshold, an abnormality alarm is performed.

[0057] Optionally, visual recognition is performed on the bullfrog gathering abnormal sub-area to obtain respective shape feature information and behavior action feature information of all bullfrogs in the sub-area; based on the shape feature information and the behavior action feature information, diseased bullfrogs in the sub-area are identified, including:

[0058] Dynamic visual recognition is performed on the bullfrog gathering abnormal sub-area to obtain respective epidermis texture and color feature information and jumping action feature information of all bullfrogs in the sub-area; wherein the jumping action feature information includes limb action posture and amplitude information of the bullfrog in the jumping process;

[0059] Based on the epidermis texture and color feature information, all suspected infected bullfrogs in the sub-area are determined; based on the jumping action feature information, activity sensitivity degrees of all suspected infected bullfrogs are determined, so as to identify diseased bullfrogs in all suspected infected bullfrogs.

[0060] Optionally, dynamic tracking is performed on the diseased bullfrogs to obtain interaction behavior information of the diseased bullfrogs and other bullfrogs; based on the interaction behavior information, a disease transmission path in the breeding space is determined, so as to demarcate a disinfection treatment range in the breeding space, including:

[0061] Based on the shape feature of the diseased bullfrogs, dynamic tracking is performed on the diseased bullfrogs to obtain interaction behavior information of the diseased bullfrogs and other bullfrogs; wherein the interaction behavior information includes body part information and direct contact duration information of the diseased bullfrogs and other bullfrogs.

[0062] Based on the interaction behavior information, a disease transmission path of the diseased bullfrogs to other bullfrogs is determined; wherein the disease transmission path refers to a disease transmission and transfer path from the diseased bullfrogs to all other bullfrogs; based on activity tracks of other bullfrogs in the breeding space, a disinfection treatment range in the breeding space is demarcated.

[0063] Compared with the prior art, the present application has the following beneficial effects:

[0064] The bullfrog breeding state monitoring system and method provided by the application perform global range visual identification on the breeding space, obtain distribution state information of the bullfrogs in the breeding space, determine an abnormal bullfrog gathering sub-region in the breeding space, perform large range group identification on the breeding space, and limit the region where diseases concentrate; perform visual identification on the abnormal bullfrog gathering sub-region, obtain shape feature information and behavior action feature information of all bullfrogs in the sub-region, identify the diseased bullfrogs in the sub-region, screen and identify the bullfrogs from the individual level, and accurately find the disease source; the diseased bullfrogs are further dynamically tracked, interaction behavior information of the diseased bullfrogs and other bullfrogs is obtained, the disease transmission path in the breeding space is determined, and thus the disinfection treatment range in the breeding space is demarcated, the disease transmission path in the breeding region is dynamically tracked and identified, and the bullfrog diseases are prevented and reduced in a timely manner. BRIEF DESCRIPTION OF DRAWINGS

[0065] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description only constitute some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor. Among them:

[0066] Figure 1 The structure schematic diagram of the bullfrog breeding state monitoring system provided by the present application.

[0067] Figure 2 The flowchart of the bullfrog breeding state monitoring method provided by the present application. DETAILED DESCRIPTION

[0068] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the specific embodiments of the present application will be described in detail below with reference to the drawings. It can be understood that the specific embodiments described here are only used to explain the present application, but not to limit the present application. In addition, it should be noted that only the parts related to the present application are shown in the drawings, not all the structures. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0069] The terms "comprising" and "having" and any variations thereof in the present application are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device including a series of steps or units is not limited to the listed steps or units, but can optionally include steps or units not listed, or can optionally include other steps or units inherent to the process, method, product or device.

[0070] Reference to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase "in an embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are they necessarily mutually exclusive of one another.

[0071] Reference is made to Figure 1 As shown in the accompanying drawings, an embodiment of the present application provides a bullfrog breeding state monitoring system. The bullfrog breeding state monitoring system comprises:

[0072] A first visual recognition module is configured to perform global visual recognition on the breeding space to obtain distribution state information of the bullfrogs in the breeding space.

[0073] An abnormal sub-region determination module is configured to determine an abnormal bullfrog gathering sub-region in the breeding space based on the distribution state information.

[0074] A second visual recognition module is configured to perform visual recognition on the abnormal bullfrog gathering sub-region to obtain shape feature information and behavior action feature information of each of the bullfrogs in the sub-region.

[0075] A sick bullfrog identification module is configured to identify sick bullfrogs in the sub-region based on the shape feature information and the behavior action feature information.

[0076] A bullfrog interaction behavior determination module is configured to dynamically track the sick bullfrogs to obtain interaction behavior information of the sick bullfrogs and other bullfrogs.

[0077] A to-be-disinfected range determination module is configured to determine a disease transmission path in the breeding space based on the interaction behavior information, and to determine a to-be-disinfected range in the breeding space.

[0078] The bullfrog breeding state monitoring system performs global visual recognition on the breeding space to obtain distribution state information of the bullfrogs in the breeding space, determines an abnormal bullfrog gathering sub-region in the breeding space, performs large-scale group recognition on the breeding space to limit the region where the disease concentrates, performs visual recognition on the abnormal bullfrog gathering sub-region to obtain shape feature information and behavior action feature information of each of the bullfrogs in the sub-region, identifies sick bullfrogs in the sub-region from the individual level, accurately finds the source of the disease, dynamically tracks the sick bullfrogs to obtain interaction behavior information of the sick bullfrogs and other bullfrogs, determines a disease transmission path in the breeding space, and determines a to-be-disinfected range in the breeding space, thereby dynamically tracking and identifying the transmission path of the disease in the breeding region, timely preventing and treating bullfrog diseases, and reducing bullfrog breeding losses.

[0079] In another embodiment, the first visual recognition module is used for global range visual recognition of the breeding space to obtain distribution state information of the bullfrogs in the breeding space, including:

[0080] Based on the water body and land distribution positions of the breeding space, the breeding space is partitioned and photographed to obtain a global range image of the breeding space; the global range image is subjected to bullfrog contour recognition to obtain the distribution state information of the bullfrogs in the breeding space; wherein the distribution state information includes bullfrog spatial distribution density information and bullfrog separation interval information;

[0081] The abnormal sub-region determination module is used for determining a bullfrog aggregation abnormal sub-region in the breeding space based on the distribution state information, including:

[0082] The bullfrog spatial distribution density information and the bullfrog separation interval information are subjected to time domain change analysis to obtain the bullfrog spatial distribution density change rate and the bullfrog average separation interval change rate of all grid sub-regions in the breeding space; based on the bullfrog spatial distribution change rate and the bullfrog average separation interval change rate, a part of the grid sub-regions are determined as the bullfrog aggregation abnormal sub-region.

[0083] The beneficial effects of the above embodiments are that in order to meet the growth needs of bullfrogs, the breeding space such as a bullfrog farm usually has different areas such as water bodies and land, and the bullfrogs can freely move in the water body and land areas. Considering that the environmental states of the water body and land areas are different, for example, the surface of the water body area may form a reflection that affects the clarity of shooting, if the same mode (such as the same shooting parameters) is used to shoot the water body area and the land area, it cannot be guaranteed that all water body areas and land areas are clearly shot. Therefore, based on the distribution positions of the water body and the land of the breeding space, each water body area and each land area in the breeding space is distinguished and shot, the shooting aperture and / or shooting focal length and other parameters can be adjusted to shoot the water body area and the land area separately, and then the images of all water body areas and all land areas are spliced to obtain a global range image of the breeding space, thereby avoiding the problem of unclear image shooting caused by the environmental difference between the water body area and the land area. The global range image is further subjected to bullfrog body contour recognition to obtain bullfrog spatial distribution density information and bullfrog separation distance information in the breeding space; wherein the bullfrog spatial distribution density information can be the number of bullfrogs distributed in the unit volume space of each grid sub-area in the breeding space; and the bullfrog separation distance information can be the average distance of bullfrogs inside each grid sub-area in the breeding space. Considering that the bullfrogs are free to move inside the breeding space, when the health status of the bullfrogs is problematic, the activity level of the bullfrogs decreases and they tend to gather together, at this time, the bullfrogs will gather inside the breeding space, and by identifying the gathering of the bullfrogs in the breeding space, the gathering position of the bullfrogs that may have health problems can be screened from the global range level of the breeding space. Specifically, the bullfrog spatial distribution density information and the bullfrog separation distance information are subjected to time domain change analysis to obtain the bullfrog spatial distribution density change rate and the bullfrog average separation distance change rate of each grid sub-area in the breeding space, the bullfrog spatial distribution density change rate and the bullfrog average separation distance change rate can represent the activity level of the bullfrogs, if the bullfrog spatial distribution density change rate of a grid sub-area is less than a first change rate threshold and / or the bullfrog average separation distance change rate is less than a second change rate threshold, it is determined that the grid sub-area belongs to a bullfrog gathering abnormal sub-area, and a large-scale group identification is performed on the breeding space to limit the area where the disease concentrates.

[0084] In another embodiment, the change of the bullfrog gathering abnormal sub-area is monitored in real time, and it is determined whether an abnormal warning is needed according to the change of the bullfrog gathering abnormal sub-area, including:

[0085] The change of the bullfrog gathering abnormal sub-area in each preset unit time period is monitored, wherein the change of the bullfrog gathering abnormal sub-area includes that the bullfrog gathering abnormal sub-area is changed into a non-abnormal sub-area and the non-abnormal sub-area is changed into the bullfrog gathering abnormal sub-area;

[0086] extracting the number of regions in which the bullfrog gathering abnormal sub-region turns into the non-abnormal sub-region and the number of regions corresponding to the non-abnormal sub-region turning into the bullfrog gathering abnormal sub-region in each unit time period;

[0087] extracting the average value of the bullfrog spatial distribution density change rate corresponding to the number of regions in which the bullfrog gathering abnormal sub-region turns into the non-abnormal sub-region and the average value of the bullfrog average interval change rate as the first average value data;

[0088] extracting the average value of the bullfrog spatial distribution density change rate corresponding to the number of regions in which the non-abnormal sub-region turns into the bullfrog gathering abnormal sub-region and the average value of the bullfrog average interval change rate as the second average value data;

[0089] acquiring the region change coefficient corresponding to each unit time period by combining the first average value data and the second average value data with the number of regions in which the bullfrog gathering abnormal sub-region turns into the non-abnormal sub-region and the number of regions corresponding to the non-abnormal sub-region turning into the bullfrog gathering abnormal sub-region in each unit time period;

[0090] wherein the region change coefficient is acquired by the following formula:

[0091]

[0092] wherein S represents the region change coefficient; M 01 represents the number of regions in which the bullfrog gathering abnormal sub-region turns into the non-abnormal sub-region in each unit time period; M 02 represents the number of regions corresponding to the non-abnormal sub-region turning into the bullfrog gathering abnormal sub-region in each unit time period; M represents the total number of all sub-regions under the breeding space; λ 01 and λ 02 respectively represent the first factor and the second factor, and the first factor and the second factor are acquired by the following formula:

[0093]

[0094] wherein U 01 and U 02 respectively represent the average value of the bullfrog spatial distribution density change rate corresponding to the number of regions in which the bullfrog gathering abnormal sub-region turns into the non-abnormal sub-region and the average value of the bullfrog spatial distribution density change rate corresponding to the number of regions in which the non-abnormal sub-region turns into the bullfrog gathering abnormal sub-region; J 01 and J 02 respectively represent the average value of the bullfrog average interval change rate corresponding to the number of regions in which the bullfrog gathering abnormal sub-region turns into the non-abnormal sub-region and the average value of the bullfrog average interval change rate corresponding to the number of regions in which the non-abnormal sub-region turns into the bullfrog gathering abnormal sub-region; U yrepresents the first change rate threshold corresponding to the change rate of bullfrog spatial distribution density; J y represents the second change rate threshold corresponding to the bullfrog average interval change rate;

[0095] comparing the regional variation coefficient with a preset coefficient threshold;

[0096] When the regional variation coefficient is not lower than a preset coefficient threshold, an abnormality alarm is issued.

[0097] The beneficial effects of the above embodiment are real-time monitoring of the transformation of bullfrog aggregation abnormal sub-areas within each preset unit time period, covering the transformation from abnormal to non-abnormal and from non-abnormal to abnormal. At the same time, the number of related areas and the average value of the bullfrog spatial distribution density and the average interval change rate are extracted. This can comprehensively and accurately capture the dynamic changes in the bullfrog aggregation state, providing a detailed and reliable data basis for subsequent analysis. Through the above technical solution, multi-dimensional data such as the number of areas where bullfrog aggregation abnormal sub-areas transform, the average value of the spatial distribution density change rate, and the average value of the average interval change rate are comprehensively calculated to obtain the regional variation coefficient. This coefficient quantifies the degree of change in the bullfrog aggregation area within a unit time period, making the assessment of bullfrog aggregation changes more objective, accurate, and comparable. The regional variation coefficient is compared with a preset coefficient threshold, and an abnormality alarm is promptly issued when the threshold is reached or exceeded. This judgment method based on quantitative indicators can quickly issue an alarm when abnormal changes in bullfrog aggregation occur, so that farmers can take timely measures such as adjusting the breeding environment and preventing the spread of diseases, effectively reducing breeding risks and ensuring the stability and efficiency of bullfrog breeding. The comprehensive data and accurate anomaly detection provided by this technical solution help breeders gain a deeper understanding of the dynamic patterns of bullfrog aggregation and the conditions under which anomalies occur. Based on this information, breeders can optimize the layout of breeding spaces, adjust stocking density, and rationally arrange feeding, thereby achieving scientific and refined breeding management, improving breeding efficiency and bullfrog survival rates.

[0098] In another embodiment, the second visual recognition module is used to perform visual recognition on a sub-region where bullfrogs gather abnormally, and obtain the appearance feature information and behavioral feature information of all bullfrogs in the sub-region, including:

[0099] Dynamic visual recognition is performed on the abnormal bullfrog cluster sub-region to obtain the skin texture and color feature information and jumping motion feature information of all bullfrogs in the sub-region. The jumping motion feature information includes the posture and amplitude information of the bullfrog's limbs during the jumping process.

[0100] The sick bullfrog identification module is used to identify sick bullfrogs in the sub-area based on appearance feature information and behavioral feature information, including:

[0101] Based on the skin texture and color feature information, all suspected infected bullfrogs in the sub-region are determined; based on the jumping action feature information, the activity sensitivity of each suspected infected bullfrog is determined, so as to identify the diseased bullfrog in all suspected infected bullfrogs.

[0102] The beneficial effects of the above embodiments are known through the above analysis. The abnormal aggregation sub-region of bullfrogs may be a large aggregation sub-region formed due to the decrease in activity of bullfrogs infected with diseases, that is, the abnormal aggregation sub-region of bullfrogs has a higher probability of containing bullfrogs infected with diseases. In order to identify the diseased bullfrog from the individual level, the dynamic visual recognition is performed on the above abnormal aggregation sub-region of bullfrogs to obtain the skin texture and color feature information and the jumping action feature information of all bullfrogs in the sub-region, which comprehensively represents the skin appearance characteristics of bullfrogs and the limb action posture and amplitude characteristics in the jumping process, facilitating the subsequent judgment of whether the bullfrog is infected with diseases from the appearance and action level. Then, the skin texture and color feature information is compared with the skin disease data formed by the infected bullfrog itself to preliminarily determine all suspected infected bullfrogs in the sub-region; and then, the limb action posture and amplitude information of the suspected infected bullfrog in the jumping process is compared with the jumping limb action feature information of the normal bullfrog to determine the activity sensitivity of each suspected infected bullfrog, so as to identify the diseased bullfrog in all suspected infected bullfrogs, screen and identify the bullfrog from the individual level, and accurately find the source of the disease, thereby providing a reference for determining the disease transmission path in the global range of the breeding space.

[0103] In another embodiment, the bullfrog interaction behavior determination module is used to dynamically track the diseased bullfrog to obtain interaction behavior information of the diseased bullfrog and other bullfrogs, including:

[0104] Based on the shape characteristics of the diseased bullfrog, the diseased bullfrog is dynamically tracked to obtain the interaction behavior information of the diseased bullfrog and other bullfrogs; wherein the interaction behavior information includes body part information and direct contact duration information of the diseased bullfrog and other bullfrogs in direct contact;

[0105] The disinfection range determination module is used to determine the disease transmission path in the breeding space based on the interaction behavior information, so as to determine the disinfection treatment range in the breeding space, including:

[0106] Based on the interaction behavior information, the disease transmission path of the diseased bullfrog to other bullfrogs is determined; wherein the disease transmission path refers to the transmission path of the disease from the diseased bullfrog to all other bullfrogs; based on the activity trajectory of the other bullfrogs in the breeding space, the disinfection treatment range in the breeding space is determined.

[0107] The beneficial effects of the above embodiment are that the disease bacteria carried by the sick bullfrog can spread and spread through the contact between the sick bullfrog and other bullfrogs. The greater the contact area and the longer the contact duration between the sick bullfrog and other bullfrogs, the more the disease bacteria are transferred from the sick bullfrog to other bullfrogs, and the greater the probability of infection of other bullfrogs. Thus, a disease transfer path is formed between the sick bullfrog and other bullfrogs, which affects all bullfrogs in the breeding space. In order to accurately inhibit the transfer and spread of the disease, the sick bullfrog is dynamically tracked based on the shape characteristics of the sick bullfrog, the body part information and the direct contact duration information of the sick bullfrog and other bullfrogs are obtained, the physical contact between different bullfrogs is accurately determined, the disease transmission path of the sick bullfrog to other bullfrogs is determined based on the contact body part size and the contact duration between the sick bullfrog and other bullfrogs, and the activity track of other bullfrogs after contacting the sick bullfrog in the breeding space is combined to mark the disinfection treatment range in the breeding space, thereby providing reliable guidance for timely and accurate disinfection and inhibition of disease transmission in the breeding space.

[0108] Referring to Figure 2 An embodiment of the present application provides a bullfrog breeding state monitoring method. The bullfrog breeding state monitoring method comprises the following steps:

[0109] The global range of the breeding space is visually identified to obtain distribution state information of the bullfrogs in the breeding space; based on the distribution state information, an abnormal bullfrog gathering sub-region in the breeding space is determined;

[0110] The abnormal bullfrog gathering sub-region is visually identified to obtain shape characteristic information and behavior action characteristic information of all bullfrogs in the sub-region; based on the shape characteristic information and the behavior action characteristic information, a sick bullfrog in the sub-region is identified;

[0111] The sick bullfrog is dynamically tracked to obtain interaction behavior information of the sick bullfrog and other bullfrogs; based on the interaction behavior information, a disease transmission path in the breeding space is determined, thereby marking a disinfection treatment range in the breeding space.

[0112] The method has the beneficial effects that the method of monitoring the bullfrog breeding state performs global range visual recognition on the breeding space, obtains distribution state information of the bullfrogs in the breeding space, determines an abnormal bullfrog gathering sub-region in the breeding space, performs large range group recognition on the breeding space, and limits a disease concentration occurrence region; performs visual recognition on the abnormal bullfrog gathering sub-region, obtains respective shape feature information and behavior action feature information of all the bullfrogs in the sub-region, and identifies the diseased bullfrogs in the sub-region, thereby screening and identifying the bullfrogs from the individual level, accurately finding a disease source; the diseased bullfrogs are further tracked dynamically, interaction behavior information of the diseased bullfrogs and other bullfrogs is obtained, a disease transmission path in the breeding space is determined, and a range to be disinfected in the breeding space is demarcated, so that the disease transmission path in the breeding region is tracked and recognized dynamically, and the bullfrog disease is prevented and treated in time and the bullfrog breeding loss is reduced.

[0113] In another embodiment, the breeding space is globally range visually recognized to obtain distribution state information of the bullfrogs in the breeding space; based on the distribution state information, an abnormal bullfrog gathering sub-region in the breeding space is determined, including:

[0114] The breeding space is partitioned and photographed and image splicing is performed based on the water body and land distribution positions of the breeding space to obtain a global range image of the breeding space; bullfrog contour recognition is performed on the global range image to obtain the distribution state information of the bullfrogs in the breeding space; wherein the distribution state information includes bullfrog spatial distribution density information and bullfrog spacing interval information;

[0115] The bullfrog spatial distribution density information and the bullfrog spacing interval information are analyzed in the time domain to obtain respective bullfrog spatial distribution density change rates and bullfrog average spacing interval change rates of all the grid sub-regions in the breeding space; based on the bullfrog spatial distribution change rates and the bullfrog average spacing interval change rates, a part of the grid sub-regions are determined as the abnormal bullfrog gathering sub-region.

[0116] The beneficial effects of the above embodiments are that in order to meet the growth needs of bullfrogs, the breeding space such as a bullfrog farm usually has different areas such as water bodies and land, and the bullfrogs can freely move in the water body and land areas. Considering that the environmental states of the water body and land areas are different, for example, the surface of the water body area may form a reflection that affects the clarity of shooting, if the same mode (such as the same shooting parameters) is used to shoot the water body area and the land area, it cannot be guaranteed that all water body areas and land areas are clearly shot. Therefore, based on the distribution positions of the water body and the land of the breeding space, each water body area and each land area in the breeding space is distinguished and shot, the shooting aperture and / or shooting focal length and other parameters can be adjusted to shoot the water body area and the land area separately, and then the images of all water body areas and all land areas are spliced to obtain a global range image of the breeding space, thereby avoiding the problem of unclear image shooting caused by the environmental difference between the water body area and the land area. The global range image is further subjected to bullfrog body contour recognition to obtain bullfrog spatial distribution density information and bullfrog separation distance information in the breeding space; wherein the bullfrog spatial distribution density information can be the number of bullfrogs distributed in the unit volume space of each grid sub-area in the breeding space; and the bullfrog separation distance information can be the average distance of bullfrogs inside each grid sub-area in the breeding space. Considering that the bullfrogs are free to move inside the breeding space, when the health status of the bullfrogs is problematic, the activity level of the bullfrogs decreases and they tend to gather together, at this time, the bullfrogs will gather inside the breeding space, and by identifying the gathering of the bullfrogs in the breeding space, the gathering position of the bullfrogs that may have health problems can be screened from the global range level of the breeding space. Specifically, the bullfrog spatial distribution density information and the bullfrog separation distance information are subjected to time domain change analysis to obtain the bullfrog spatial distribution density change rate and the bullfrog average separation distance change rate of each grid sub-area in the breeding space, the bullfrog spatial distribution density change rate and the bullfrog average separation distance change rate can represent the activity level of the bullfrogs, if the bullfrog spatial distribution density change rate of a grid sub-area is less than a first change rate threshold and / or the bullfrog average separation distance change rate is less than a second change rate threshold, it is determined that the grid sub-area belongs to a bullfrog gathering abnormal sub-area, and a large-scale group identification is performed on the breeding space to limit the area where the disease concentrates.

[0117] In another embodiment, the change of the bullfrog gathering abnormal sub-area is monitored in real time, and it is determined whether an abnormal warning is needed according to the change of the bullfrog gathering abnormal sub-area, including:

[0118] The change of the bullfrog gathering abnormal sub-area in each preset unit time period is monitored, wherein the change of the bullfrog gathering abnormal sub-area includes that the bullfrog gathering abnormal sub-area is changed into a non-abnormal sub-area and the non-abnormal sub-area is changed into the bullfrog gathering abnormal sub-area;

[0119] extracting the number of regions in which the bullfrog gathering abnormal sub-region turns into the non-abnormal sub-region and the number of regions corresponding to the non-abnormal sub-region turning into the bullfrog gathering abnormal sub-region in each unit time period;

[0120] extracting the average value of the bullfrog spatial distribution density change rate corresponding to the number of regions in which the bullfrog gathering abnormal sub-region turns into the non-abnormal sub-region and the average value of the bullfrog average interval change rate as the first average value data;

[0121] extracting the average value of the bullfrog spatial distribution density change rate corresponding to the number of regions in which the non-abnormal sub-region turns into the bullfrog gathering abnormal sub-region and the average value of the bullfrog average interval change rate as the second average value data;

[0122] acquiring the region change coefficient corresponding to each unit time period by combining the first average value data and the second average value data with the number of regions in which the bullfrog gathering abnormal sub-region turns into the non-abnormal sub-region and the number of regions corresponding to the non-abnormal sub-region turning into the bullfrog gathering abnormal sub-region in each unit time period;

[0123] wherein the region change coefficient is acquired by the following formula:

[0124]

[0125] wherein S represents the region change coefficient; M 01 represents the number of regions in which the bullfrog gathering abnormal sub-region turns into the non-abnormal sub-region in each unit time period; M 02 represents the number of regions corresponding to the non-abnormal sub-region turning into the bullfrog gathering abnormal sub-region in each unit time period; M represents the total number of all sub-regions under the breeding space; λ 01 and λ 02 respectively represent the first factor and the second factor, and the first factor and the second factor are acquired by the following formula:

[0126]

[0127] wherein U 01 and U 02 respectively represent the average value of the bullfrog spatial distribution density change rate corresponding to the number of regions in which the bullfrog gathering abnormal sub-region turns into the non-abnormal sub-region and the average value of the bullfrog spatial distribution density change rate corresponding to the number of regions in which the non-abnormal sub-region turns into the bullfrog gathering abnormal sub-region; J 01 and J 02 respectively represent the average value of the bullfrog average interval change rate corresponding to the number of regions in which the bullfrog gathering abnormal sub-region turns into the non-abnormal sub-region and the average value of the bullfrog average interval change rate corresponding to the number of regions in which the non-abnormal sub-region turns into the bullfrog gathering abnormal sub-region; U yrepresents a first change rate threshold corresponding to the change rate of the spatial distribution density of bullfrogs; y represents a second change rate threshold corresponding to the change rate of the average interval of bullfrogs;

[0128] The area change coefficient is compared with a preset coefficient threshold.

[0129] When the area change coefficient is not lower than the preset coefficient threshold, an abnormal alarm is performed.

[0130] The above embodiments have the beneficial effects of real-time monitoring of the transition of the bullfrog aggregation abnormal sub-area in each preset unit time period, covering the transition from abnormal to non-abnormal and from non-abnormal to abnormal, while extracting the average values of the relevant area quantity, the spatial distribution density of bullfrogs, and the average interval change rate, which can comprehensively and accurately capture the dynamic changes of the aggregation state of bullfrogs, providing detailed and reliable data basis for subsequent analysis. Through the above technical solution, the area change coefficient is obtained by comprehensively calculating the multi-dimensional data such as the area quantity of the transition of the bullfrog aggregation abnormal sub-area, the average value of the spatial distribution density change rate, and the average value of the average interval change rate. The coefficient quantifies the change degree of the bullfrog aggregation area in the unit time period, making the evaluation of the change of bullfrog aggregation more objective, accurate, and comparable. The area change coefficient is compared with a preset coefficient threshold, and an abnormal alarm is performed when the threshold is reached or exceeded. This judgment method based on quantitative indicators can quickly issue an alarm when the aggregation of bullfrogs changes abnormally, so that the breeding personnel can take timely measures such as adjusting the breeding environment, preventing disease transmission, etc., effectively reducing the breeding risk and ensuring the stability and efficiency of bullfrog breeding. The comprehensive data and accurate abnormal judgment provided by the above technical solution help the breeding personnel to deeply understand the dynamic rules and conditions of abnormal situations of bullfrog aggregation. Based on this information, the breeding personnel can optimize the breeding space layout, adjust the breeding density, reasonably arrange the feeding, etc., realize scientific and fine breeding management, and improve the breeding efficiency and the survival rate of bullfrogs.

[0131] In another embodiment, the bullfrog aggregation abnormal sub-area is visually recognized to obtain the shape feature information and behavior action feature information of each bullfrog in the sub-area; based on the shape feature information and behavior action feature information, the diseased bullfrogs in the sub-area are identified, including:

[0132] The bullfrog aggregation abnormal sub-area is dynamically visually recognized to obtain the skin texture and color feature information and jumping action feature information of each bullfrog in the sub-area; wherein the jumping action feature information includes the limb action posture and amplitude information of the bullfrog in the jumping process;

[0133] Based on the skin texture and color feature information, all suspected infected bullfrogs in the sub-region are determined; based on the jumping action feature information, the activity sensitivity of each suspected infected bullfrog is determined, so as to identify the diseased bullfrog in all suspected infected bullfrogs.

[0134] The beneficial effects of the above embodiments are known through the above analysis. The abnormal aggregation sub-region of bullfrogs may be a large aggregation sub-region formed due to the decrease in activity of bullfrogs infected with diseases, that is, the abnormal aggregation sub-region of bullfrogs has a higher probability of containing bullfrogs infected with diseases. In order to identify the diseased bullfrog from the individual level, the dynamic visual recognition is performed on the above abnormal aggregation sub-region of bullfrogs to obtain the skin texture and color feature information and the jumping action feature information of all bullfrogs in the sub-region, which comprehensively represents the skin appearance characteristics of bullfrogs and the limb action posture and amplitude characteristics in the jumping process, facilitating the subsequent judgment of whether the bullfrog is infected with diseases from the appearance and action level. Then, the skin texture and color feature information are compared with the skin disease data formed by the infected bullfrog itself to preliminarily determine all suspected infected bullfrogs in the sub-region; and then, the limb action posture and amplitude information of the suspected infected bullfrog in the jumping process are compared with the jumping limb action feature information of the normal bullfrog to determine the activity sensitivity of each suspected infected bullfrog, so as to identify the diseased bullfrog in all suspected infected bullfrogs, screen and identify the bullfrog from the individual level, and accurately find the source of the disease, thereby providing a reference for determining the disease transmission path in the global range of the breeding space.

[0135] In another embodiment, the diseased bullfrog is dynamically tracked to obtain interaction behavior information of the diseased bullfrog and other bullfrogs; based on the interaction behavior information, the disease transmission path in the breeding space is determined, so as to determine the disinfection treatment range in the breeding space, including:

[0136] Based on the shape characteristics of the diseased bullfrog, the diseased bullfrog is dynamically tracked to obtain interaction behavior information of the diseased bullfrog and other bullfrogs; wherein the interaction behavior information includes body part information and direct contact duration information of the diseased bullfrog and other bullfrogs.

[0137] Based on the interaction behavior information, the disease transmission path from the diseased bullfrog to other bullfrogs is determined; wherein the disease transmission path refers to the transmission path of the disease from the diseased bullfrog to all other bullfrogs; based on the activity trajectory of the other bullfrogs in the breeding space, the disinfection treatment range in the breeding space is determined.

[0138] The diseased bullfrog carries disease bacteria on its body, which spreads and spreads through contact with other bullfrogs. The greater the contact area and the longer the contact duration between the diseased bullfrog and other bullfrogs, the more the disease is transferred from the diseased bullfrog to other bullfrogs, and the greater the probability of infection of other bullfrogs. Thus, a disease transfer path is formed between the diseased bullfrog and other bullfrogs, and between different other bullfrogs, which affects all bullfrogs in the breeding space. In order to accurately inhibit the transfer and spread of the disease, the diseased bullfrog is dynamically tracked based on its external characteristics to obtain information about the body parts directly contacted by the diseased bullfrog and other bullfrogs and the duration of direct contact, accurately determine the physical contact between different bullfrogs, and determine the disease transmission path from the diseased bullfrog to other bullfrogs based on the contact body part size and contact duration between the diseased bullfrog and other bullfrogs. In combination with the activity trajectory of other bullfrogs after contacting the diseased bullfrog in the breeding space, the scope to be disinfected in the breeding space is calibrated, providing reliable guidance for timely and accurate disinfection and disease transmission inhibition in the breeding space.

[0139] Overall, the bullfrog breeding state monitoring system and method performs global range visual recognition on the breeding space to obtain distribution state information of the bullfrogs in the breeding space, thereby determining an abnormal bullfrog gathering sub-region in the breeding space, performing large-scale group recognition on the breeding space to limit the region where the disease occurs; visually recognizing the abnormal bullfrog gathering sub-region to obtain the shape feature information and behavior action feature information of all bullfrogs in the sub-region, thereby identifying the diseased bullfrog in the sub-region, screening and identifying the bullfrogs from an individual level, and accurately finding the source of the disease; the diseased bullfrog is also dynamically tracked to obtain interaction behavior information of the diseased bullfrog and other bullfrogs, thereby determining the disease transmission path in the breeding space, and calibrating the scope to be disinfected in the breeding space. Dynamically track and identify the transmission path of the disease in the breeding area to prevent and control bullfrog diseases and reduce bullfrog breeding losses in a timely manner.

[0140] The above is only one specific embodiment of the present application, and any improvement made on the basis of the concept of the present application is considered to be within the scope of protection of the present application.

Claims

1. A bullfrog breeding status monitoring system, characterized in that: include: A first visual recognition module is used to perform global visual recognition of the breeding space to obtain distribution status information of bullfrogs in the breeding space; an abnormal sub-region determining module, configured to determine an abnormal bullfrog aggregation sub-region within the breeding space based on the distribution status information; The second visual recognition module is used to visually identify the bullfrog abnormal gathering sub-region and obtain the appearance feature information and behavior feature information of all bullfrogs in the sub-region; a sick bullfrog identification module, configured to identify sick bullfrogs in the sub-area based on the appearance feature information and the behavior feature information; A bullfrog interactive behavior determination module is used to dynamically track the diseased bullfrog and obtain interactive behavior information between the diseased bullfrog and other bullfrogs; The module for determining the range to be disinfected is used to determine the disease transmission path in the breeding space based on the interactive behavior information, thereby calibrating the range to be disinfected in the breeding space.

2. The bullfrog breeding status monitoring system according to claim 1, wherein: The first visual recognition module is used to perform global visual recognition of the breeding space to obtain the distribution status information of bullfrogs in the breeding space, including: Based on the distribution of water bodies and land in the breeding space, the breeding space is photographed in sections and the images are stitched together to obtain a global image of the breeding space; bullfrog outlines are recognized on the global image to obtain distribution status information of bullfrogs in the breeding space; wherein the distribution status information includes bullfrog spatial distribution density information and bullfrog spacing information; The abnormal sub-region determining module is used to determine the abnormal bullfrog aggregation sub-region in the breeding space based on the distribution status information, including: A time domain change analysis is performed on the bullfrog spatial distribution density information and the bullfrog spacing information to obtain the bullfrog spatial distribution density change rate and the bullfrog average spacing change rate of all grid sub-areas in the breeding space; based on the bullfrog spatial distribution change rate and the bullfrog average spacing change rate, a part of the grid sub-areas is determined as bullfrog aggregation abnormal sub-areas.

3. The bullfrog breeding status monitoring system according to claim 2, wherein: Monitor the changes in the abnormal bullfrog gathering sub-areas in real time, and determine whether an abnormal warning is needed based on the changes in the abnormal bullfrog gathering sub-areas, including: Monitoring changes in the bullfrog aggregation abnormal sub-region within each preset unit time period, wherein the changes in the bullfrog aggregation abnormal sub-region include the bullfrog aggregation abnormal sub-region transforming into a non-abnormal sub-region and the non-abnormal sub-region transforming into a bullfrog aggregation abnormal sub-region; Extract the number of areas where bullfrog-aggregated abnormal sub-areas are transformed into non-abnormal sub-areas and the number of areas where non-abnormal sub-areas are transformed into bullfrog-aggregated abnormal sub-areas within each unit time period; Extracting the average value of the bullfrog spatial distribution density change rate and the average value of the bullfrog average interval change rate corresponding to the number of areas where the bullfrog aggregation abnormal sub-areas are transformed into non-abnormal sub-areas as first average value data; Extracting the average value of the frog spatial distribution density change rate corresponding to the number of areas corresponding to the transformation of non-abnormal sub-areas into bullfrog aggregation abnormal sub-areas and the average value of the bullfrog average interval change rate as the second average value data; Obtain the regional variation coefficient corresponding to each unit time period by combining the first average value data and the second average value data with the number of regions where the abnormal bullfrog aggregation sub-regions are transformed into non-abnormal sub-regions and the number of regions where the non-abnormal sub-regions are transformed into abnormal bullfrog aggregation sub-regions within each unit time period; The regional variation coefficient is obtained by the following formula: Where S represents the regional variation coefficient; M 01 M represents the number of regions where bullfrog aggregation abnormal sub-regions are transformed into non-abnormal sub-regions within each unit time period; 02 represents the number of areas corresponding to the transformation of non-abnormal sub-areas into bullfrog-aggregated abnormal sub-areas within each unit time period; M represents the total number of all sub-areas in the breeding space; λ 01 and λ 02 denote the first factor and the second factor respectively, and the first factor and the second factor are obtained by the following formula: Among them, U 01 and U 02 They represent the average value of the change rate of bullfrog spatial distribution density corresponding to the number of areas where bullfrog abnormal aggregation sub-areas are transformed into non-abnormal sub-areas and the average value of the change rate of bullfrog spatial distribution density corresponding to the number of areas where non-abnormal sub-areas are transformed into bullfrog abnormal aggregation sub-areas; J 01 and J 02 They represent the average value of the average bullfrog interval change rate corresponding to the number of areas where bullfrog abnormal clustering sub-areas are transformed into non-abnormal sub-areas and the average value of the average bullfrog interval change rate corresponding to the number of areas where non-abnormal sub-areas are transformed into bullfrog abnormal clustering sub-areas; U y represents the first change rate threshold corresponding to the change rate of bullfrog spatial distribution density; J y represents the second change rate threshold corresponding to the bullfrog average interval change rate; comparing the regional variation coefficient with a preset coefficient threshold; When the regional variation coefficient is not lower than a preset coefficient threshold, an abnormality alarm is issued.

4. The bullfrog breeding status monitoring system according to claim 1, wherein: The second visual recognition module is used to perform visual recognition on the bullfrog aggregation abnormal sub-region to obtain the appearance feature information and behavior feature information of all bullfrogs in the sub-region, including: Performing dynamic visual recognition on the bullfrog abnormal aggregation sub-region to obtain skin texture and color feature information and jumping motion feature information of all bullfrogs in the sub-region; wherein the jumping motion feature information includes the posture and amplitude information of the limbs of the bullfrog during the jumping process; The sick bullfrog identification module is used to identify sick bullfrogs in the sub-area based on the appearance feature information and the behavior feature information, including: Based on the epidermal texture and color feature information, all bullfrogs suspected of being infected in the sub-area are determined; based on the jumping movement feature information, the activity sensitivity of each of the bullfrogs suspected of being infected is determined, thereby identifying the sick bullfrogs among all the bullfrogs suspected of being infected.

5. The bullfrog breeding status monitoring system according to claim 1, wherein: The bullfrog interactive behavior determination module is used to dynamically track the diseased bullfrog to obtain interactive behavior information between the diseased bullfrog and other bullfrogs, including: Based on the appearance characteristics of the sick bullfrog, the sick bullfrog is dynamically tracked to obtain interactive behavior information between the sick bullfrog and other bullfrogs; wherein the interactive behavior information includes body part information of the sick bullfrog in direct contact with other bullfrogs and direct contact duration information; The module for determining the range to be disinfected is used to determine the disease transmission path in the breeding space based on the interactive behavior information, thereby calibrating the range to be disinfected in the breeding space, including: Based on the interactive behavior information, the disease transmission path of the sick bullfrog to other bullfrogs is determined; wherein, the disease transmission path refers to the disease transmission and transfer path from the sick bullfrog to all other bullfrogs; based on the activity trajectories of other bullfrogs in the breeding space, the range to be disinfected in the breeding space is calibrated.

6. A method for monitoring bullfrog breeding status, characterized in that: include: Performing global visual recognition of the breeding space to obtain distribution status information of bullfrogs in the breeding space; Based on the distribution status information, determining a sub-region in which bullfrogs in the breeding space have abnormal aggregation; Performing visual recognition on the bullfrog abnormal gathering sub-region to obtain the appearance feature information and behavior feature information of all bullfrogs in the sub-region; Based on the appearance feature information and the behavior feature information, identifying sick bullfrogs in the sub-area; The diseased bullfrog is dynamically tracked to obtain interactive behavior information between the diseased bullfrog and other bullfrogs; based on the interactive behavior information, the disease transmission path in the breeding space is determined, thereby calibrating the range to be disinfected in the breeding space.

7. The bullfrog breeding status monitoring method according to claim 6, wherein: Performing global visual recognition of the breeding space to obtain distribution status information of bullfrogs in the breeding space; Determining, based on the distribution status information, a sub-region in which bullfrogs gather abnormally within the breeding space, comprising: Based on the distribution of water bodies and land in the breeding space, the breeding space is photographed in sections and the images are stitched together to obtain a global image of the breeding space; bullfrog outlines are recognized on the global image to obtain distribution status information of bullfrogs in the breeding space; wherein the distribution status information includes bullfrog spatial distribution density information and bullfrog spacing information; A time domain change analysis is performed on the bullfrog spatial distribution density information and the bullfrog spacing information to obtain the bullfrog spatial distribution density change rate and the bullfrog average spacing change rate of all grid sub-areas in the breeding space; based on the bullfrog spatial distribution change rate and the bullfrog average spacing change rate, a part of the grid sub-areas is determined as bullfrog aggregation abnormal sub-areas.

8. The bullfrog breeding status monitoring method according to claim 7, wherein: Monitor the changes in the abnormal bullfrog gathering sub-areas in real time, and determine whether an abnormal warning is needed based on the changes in the abnormal bullfrog gathering sub-areas, including: Monitoring changes in the abnormal bullfrog aggregation sub-region within each preset unit time period, wherein the changes in the abnormal bullfrog aggregation sub-region include the transformation of the abnormal bullfrog aggregation sub-region into a non-abnormal sub-region and the transformation of the non-abnormal sub-region into the abnormal bullfrog aggregation sub-region; extracting the number of regions where the abnormal bullfrog aggregation sub-region is transformed into the non-abnormal sub-region and the number of regions where the non-abnormal sub-region is transformed into the abnormal bullfrog aggregation sub-region within each unit time period; Extracting the average value of the bullfrog spatial distribution density change rate and the average value of the bullfrog average interval change rate corresponding to the number of areas where the bullfrog aggregation abnormal sub-areas are transformed into non-abnormal sub-areas as first average value data; Extracting the average value of the frog spatial distribution density change rate corresponding to the number of areas corresponding to the transformation of non-abnormal sub-areas into bullfrog aggregation abnormal sub-areas and the average value of the bullfrog average interval change rate as the second average value data; Obtain the regional variation coefficient corresponding to each unit time period by combining the first average value data and the second average value data with the number of regions where the abnormal bullfrog aggregation sub-regions are transformed into non-abnormal sub-regions and the number of regions where the non-abnormal sub-regions are transformed into abnormal bullfrog aggregation sub-regions within each unit time period; The regional variation coefficient is obtained by the following formula: Where S represents the regional variation coefficient; M 01 M represents the number of regions where bullfrog aggregation abnormal sub-regions are transformed into non-abnormal sub-regions within each unit time period; 02 represents the number of areas corresponding to the transformation of non-abnormal sub-areas into bullfrog-aggregated abnormal sub-areas within each unit time period; M represents the total number of all sub-areas in the breeding space; λ 01 and λ 02 denote the first factor and the second factor respectively, and the first factor and the second factor are obtained by the following formula: Among them, U 01 and U 02 They represent the average value of the change rate of bullfrog spatial distribution density corresponding to the number of areas where bullfrog abnormal aggregation sub-areas are transformed into non-abnormal sub-areas and the average value of the change rate of bullfrog spatial distribution density corresponding to the number of areas where non-abnormal sub-areas are transformed into bullfrog abnormal aggregation sub-areas; J 01 and J 02 They represent the average value of the average bullfrog interval change rate corresponding to the number of areas where bullfrog abnormal clustering sub-areas are transformed into non-abnormal sub-areas and the average value of the average bullfrog interval change rate corresponding to the number of areas where non-abnormal sub-areas are transformed into bullfrog abnormal clustering sub-areas; U y Indicates the first change rate threshold corresponding to the change rate of bullfrog spatial distribution density; J y represents the second change rate threshold corresponding to the bullfrog average interval change rate; comparing the regional variation coefficient with a preset coefficient threshold; When the regional variation coefficient is not lower than a preset coefficient threshold, an abnormality alarm is issued.

9. The bullfrog breeding status monitoring method according to claim 6, wherein: Performing visual recognition on the bullfrog abnormal gathering sub-region to obtain the appearance feature information and behavior feature information of all bullfrogs in the sub-region; Identifying sick bullfrogs in the sub-area based on the appearance feature information and the behavior feature information includes: Performing dynamic visual recognition on the bullfrog abnormal aggregation sub-region to obtain skin texture and color feature information and jumping motion feature information of all bullfrogs in the sub-region; wherein the jumping motion feature information includes the posture and amplitude information of the limbs of the bullfrog during the jumping process; Based on the epidermal texture and color feature information, all bullfrogs suspected of being infected in the sub-area are determined; based on the jumping movement feature information, the activity sensitivity of each of the bullfrogs suspected of being infected is determined, thereby identifying the sick bullfrogs among all the bullfrogs suspected of being infected.

10. The bullfrog breeding status monitoring method according to claim 6, wherein: Dynamically tracking the diseased bullfrog to obtain interactive behavior information between the diseased bullfrog and other bullfrogs; Based on the interactive behavior information, determining the disease transmission path in the breeding space, thereby calibrating the range to be disinfected in the breeding space, including: Based on the appearance characteristics of the sick bullfrog, the sick bullfrog is dynamically tracked to obtain interactive behavior information between the sick bullfrog and other bullfrogs; wherein the interactive behavior information includes body part information of the sick bullfrog in direct contact with other bullfrogs and direct contact duration information; Based on the interactive behavior information, determining a disease transmission path of the diseased bullfrog to other bullfrogs; Among them, the disease transmission path refers to the transmission and transfer path of the disease from the diseased bullfrog to all other bullfrogs; based on the activity trajectory of other bullfrogs in the breeding space, the range to be disinfected in the breeding space is calibrated.

Images