A system for verifying the feed environment for optimal growth of grass carp

Abstract

The invention relates to a system for verifying a feed environment for optimal growth of grass carp, belonging to the technical field of fish breeding systems, comprising a plurality of fish ponds in which different feeds are placed, and a plurality of monitoring systems, wherein the plurality of monitoring systems are matched one-to-one with the plurality of fish ponds, and any of the monitoring systems is arranged in a corresponding fish pond, and the monitoring system is used to monitor the feeding conditions of fish schools in the corresponding fish ponds, the scale sizes of the fish schools, the body shapes of the fish schools, and the movement conditions of the fish schools. By setting up the monitoring system, the monitoring system detects the growth conditions and movement conditions of the fish schools, and can obtain the growth rate of the fish schools, changes in body shape, and early symptoms before the onset of the disease after the fish schools have ingested the feed, and at the same time, through the above-mentioned related records, it can be judged in advance whether the fish schools are suitable for ingesting the feed.

Description

Technical Field

[0001] The invention belongs to the technical field of fish breeding systems, and in particular relates to a system for verifying a feed environment for optimal growth of grass carp. Background Art

[0002] When conducting comparative tests on multiple feeds, the controlled variable method is usually used to provide multiple fish ponds under the same environment to raise the same type of fish. Each fish pond is fed with different feeds. After a period of feeding, the compatibility of each feed with the fish species is compared and analyzed by obtaining data such as fish growth, mortality, and incidence of liver diseases.

[0003] The traditional inspection method is to observe the growth rate of the fish after long-term feeding, as well as the disease or death of the fish in the pond with obvious symptoms, and then remove them for dissection and testing to obtain the relationship between this type of feed and the growth rate and morbidity of the fish species. However, this testing method requires the fish to be dissected and tested in advance, which increases the labor and time cost of cultivating fish. Summary of the invention

[0004] In order to solve the problem that diseases are difficult to detect in time in traditional inspection methods and additional labor is needed to detect body shape changes and pathological conditions of fish farmed in fish ponds, the present invention provides a system for verifying the optimal feed environment for grass carp growth, so as to solve the problems existing in the above-mentioned prior art.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A system for verifying the optimal feed environment for grass carp growth, including multiple fish ponds with different feeds, and multiple monitoring systems, wherein the multiple monitoring systems are matched one-to-one with the multiple fish ponds, and any of the monitoring systems is arranged in a corresponding fish pond, and the monitoring system is used to monitor the feeding conditions of fish schools in the corresponding fish ponds, the size of fish scales, the density of fish scales, the movement conditions of fish schools, and the early symptoms of disease in fish schools.

[0007] As a preferred technical solution of the present invention, the monitoring system includes a plurality of cameras, and the plurality of cameras are distributed throughout the fish pond, and the shooting ranges of the plurality of cameras are combined to form the range of the fish pond.

[0008] As a preferred technical solution of the present invention, the monitoring system further includes a control module, which is respectively connected to a plurality of cameras for communication; the control module pre-inputs an average size M of a single fish scale of the fish school in the fish pond before feeding, and the camera is used to measure the scale size mi of each fish in the fish pond after feeding for a period of time, where i is the number of fish measured, and uploads the data to the control module, and the control module can calculate the growth coefficient L of the fish school in the fish pond according to the size of the fish scale;

[0009] Wherein, L=m / M, m=(m1+m2+...+mi) / i, i is the number of fish measured, i≠0.

[0010] As a preferred technical solution of the present invention, the fish scales measured by the camera are all located at the same position of the corresponding fish.

[0011] As a preferred technical solution of the present invention, the control module pre-inputs the average reflectivity F of the fish school in the fish pond before feeding, and the camera is used to measure the reflective area f1i and the non-reflective area f2i of each fish in the fish pond after feeding for a period of time, where i is the number of fish measured, and uploads the data to the control module, and the control module can calculate the scale growth rate A of the fish school in the fish pond according to the numerical value;

[0012] Among them, A=f / F, f=(f1+f2+...+fi) / i, fi=f1i / (f1i+f2i), i is the number of fish measured, i≠0. In addition, after the camera completes the measurement, it will number the corresponding fish according to the number of fish measured.

[0013] As a preferred technical solution of the present invention, the reflective area f1i, non-reflective area f2i and reflectivity F measured by the camera are all located on the same side of the corresponding fish, and the measurement angle between the camera and the measured fish is the same, and i is the number of fish measured.

[0014] As a preferred technical solution of the present invention, the control module pre-inputs the average effective movement times Y of the fish school in the fish pond before feeding, and the camera is used to measure the effective movement times yi of each fish in the fish pond after feeding for a period of time, where i is the measured number of fish, and upload the data to the control module, and the control module can calculate the activity coefficient B of the fish school in the fish pond according to the effective movement times of the fish;

[0015] Wherein, B=y / Y, y=(y1+y2+...+yi) / i, i is the number of fish measured, i≠0, and after the camera completes the measurement, it will number the corresponding fish according to the number of fish measured.

[0016] As a preferred technical solution of the present invention, the camera calculates the number of effective movements according to the number of accelerations, angular velocities and speeds generated by the corresponding fish in unit time.

[0017] As a preferred technical solution of the present invention, it also includes a central module, the central module is respectively connected to the plurality of control modules for communication, the central module numbers the plurality of control modules in sequence: 1, 2, ..., n; n is the number of control modules, the control module sorts the data transmitted by the camera and transmits it to the central module, the central module determines the growth condition P of the fish school according to the data uploaded by the control module, and determines the fish school with the best growth condition;

[0018] P = {p1, p2, ..., pn}max, pn = Ln×An×Bn; n is the number of the control module.

[0019] The beneficial effects of the present invention are:

[0020] This scheme includes multiple fish ponds with different feeds, and also includes several monitoring systems, which are matched one by one with the multiple fish ponds. Any monitoring system is set in the corresponding fish pond, and the monitoring system is used to monitor the feeding situation of the fish school in the corresponding fish pond, the scale size of the fish school, the scale density of the fish school, the movement situation of the fish school, and the early symptoms of the disease of the fish school. By setting up the monitoring system, the monitoring system can obtain the detailed relationship between the feeding amount and feeding frequency of the fish school and the disease of the fish school by monitoring the feeding amount and feeding frequency of the corresponding feed of the fish school and combining the disease situation of the fish school;

[0021] In addition, the most important thing is that by using the monitoring system to detect the growth and movement of the fish, the early symptoms of the fish before they become ill after eating this type of feed can be obtained. At the same time, by recording the early symptoms of the fish before they become ill after eating this type of feed, it is possible to judge in advance whether the fish are suitable for eating this type of feed. This new inspection method replaces the traditional inspection method of observing the fish in the pond for obvious symptoms or death after long-term feeding, and then taking them out for dissection and testing. It solves the problem that the traditional inspection method is to observe the growth rate of the fish and the disease or death of the fish in the pond after long-term feeding through sampling, and then take them out for dissection and testing, so as to obtain the relationship between this type of feed and the growth rate and morbidity of the fish species. However, such an inspection method requires the fish to be dissected and tested in advance, which increases the labor and time cost of cultivating the fish. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0023] Figure 1 A top view of a system for verifying a feed environment for optimal growth of grass carp according to the present invention;

[0024] Figure 2 This is a connection diagram of the central module and the control module of the present invention.

[0025] Description of main symbols

[0026] In the figure: 1. Fish pond; 2. Monitoring system; 3. Control module; 4. Camera; 5. Central module. DETAILED DESCRIPTION

[0027] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the specific implementation methods, structures, features and effects of the present invention are described in detail below in conjunction with the accompanying drawings and preferred embodiments.

[0028] See also Figure 1-2 This embodiment provides a system for verifying the optimal feed environment for grass carp growth, including several fish ponds 1 and several feeds, wherein the several feeds are matched one-to-one with the several fish ponds 1, and any feed is fed into the corresponding fish pond 1, and the varieties of the several feeds are different; it also includes several monitoring systems 2, wherein the several monitoring systems 2 are matched one-to-one with the several fish ponds 1, and any monitoring system 2 is set in the corresponding fish pond 1, and the monitoring system 2 is used to monitor the feeding conditions of the fish schools in the corresponding fish ponds 1, the scale size of the fish schools, the scale density of the fish schools, and the movement conditions of the fish schools. This scheme is provided with a monitoring system 2, and the monitoring system 2 monitors the intake amount and frequency of the corresponding feed of the fish schools, and combines the fish growth rate, the scale density of the fish schools, and the pathogenicity of the fish schools to obtain a detailed relationship between the intake amount and frequency of the feed of the fish schools and the fish growth rate, the scale density of the fish schools, and the pathogenicity of the fish schools;

[0029] In addition, the most important thing is that by monitoring the growth and movement of the fish school through the monitoring system 2, the early symptoms of the fish school before the disease occurs after eating this kind of feed can be obtained. At the same time, by recording the early symptoms of the fish school before the disease occurs after eating this kind of feed, it can be judged in advance whether the fish school is suitable for eating this kind of feed. This new inspection method replaces the traditional inspection method of observing the fish in the pond for obvious symptoms or death after long-term feeding, and then taking them out for dissection and testing. It solves the problem that the traditional inspection method is to observe the growth rate of the fish school and the disease or death of the fish in the pond after long-term feeding through sampling, and then take them out for dissection and testing, so as to obtain the relationship between this type of feed and the growth rate and morbidity of the fish species. However, such an inspection method requires the fish to be dissected and tested in advance, which increases the labor and time cost of cultivating the fish school.

[0030] Specifically, the monitoring system 2 of the present solution includes a plurality of cameras 4, and the plurality of cameras 4 are distributed throughout the fish pond 1. The shooting ranges of the plurality of cameras 4 are combined to form the range of the fish pond 1. Such a setting ensures the accuracy of detection by the monitoring system 2.

[0031] Furthermore, the monitoring system 2 of the present scheme also includes a control module 3, which is respectively connected to a plurality of cameras 4 for communication; the control module 3 pre-inputs the average size M of a single fish scale of the fish school in the fish pond 1 before feeding, and the camera 4 is used to measure the scale size mi of each fish in the fish pond 1 after feeding for a period of time, where i is the measured number of fish, and upload the data to the control module 3, and the control module 3 can calculate the growth coefficient L of the fish school in the fish pond 1 according to the size of the fish scale; wherein, L=m / M, m=(m1+m2+...+mi) / i, i is the measured number of fish, and i≠0.

[0032] It is worth noting that, generally speaking, as the size of grass carp increases, the scales of grass carp will also increase. By measuring the scale size of grass carp through camera 4 and matching the algorithm pre-input into control module 3, and comparing it with the scale size before the previous feed, the size change of grass carp can be confirmed. It is worth noting that the reason why this solution measures the scales instead of directly measuring the volume of the fish is that there are a large number of fish in the fish pond 1, and the fish will interfere with the data measured by camera 4, so it is only necessary to infer the growth of the fish by measuring the scales. In addition, according to this formula, the larger the value of L, the better the growth of grass carp, and the higher the adaptability of the feed to the grass carp.

[0033] It should also be noted that in order to ensure the accuracy of the detection by the camera 4, the fish scales measured in this solution are all located at the same position of the corresponding fish.

[0034] Furthermore, the control module 3 of this solution pre-inputs the average reflectivity F of the fish school in the fish pond 1 before feeding, and the camera 4 is used to measure the reflective area f1i and the non-reflective area f2i of each fish in the fish pond 1 after feeding for a period of time, where i is the number of fish measured, and uploads the data to the control module 3, and the control module 3 can calculate the scale growth rate A of the fish school in the fish pond 1 according to the numerical value;

[0035] Among them, A=f / F, f=(f1+f2+...+fi) / i, fi=f1i / (f1i+f2i), i is the number of measured fish, i≠0. In addition, after completing the measurement, the camera 4 will number the corresponding fish according to the number of measured fish.

[0036] It should be noted here that the degree of reflection of the fish with scales detected by the camera 4 is inconsistent with the degree of reflection of the fish without scales detected by the camera 4. Based on this, the area of ​​the fish with scales detected by the camera 4 is called the reflective area f1i, and the area of ​​the fish without scales detected by the camera 4 is called the non-reflective area f2i, where i is the number of fish measured. By measuring the reflective area f1i and the non-reflective area f2i, combined with the algorithm pre-input into the control module 3, the area in the fish pond 1 before the feed is calculated. By comparing with the average reflectivity F of the fish school, the scale growth rate A of the fish school in the fish pond 1 can be confirmed; it should be noted that when the value of A is greater than 1, it means that the scales of the fish school fall off less after feeding for a period of time, indicating that the feed is suitable for the fish school, and the higher the value of A, the higher the compatibility between the feed and the fish school; when the value of A is less than 1, it means that the scales of the fish school fall off more after feeding for a period of time, indicating that the feed is not suitable for the fish school, and the lower the value of A, the worse the compatibility between the feed and the fish school.

[0037] It is worth noting that in order to ensure the accuracy of the fish scale growth rate A, the reflective area f1i, non-reflective area f2i and reflectivity F measured by camera 4 are all located on the same side of the corresponding fish, and the measurement angle between camera 4 and the measured fish is the same, and i is the number of fish measured.

[0038] Furthermore, the control module 3 of the present solution pre-inputs the average effective movement times Y of the fish school in the fish pond 1 before feeding, and the camera 4 is used to measure the effective movement times yi of each fish in the fish pond 1 after feeding for a period of time, where i is the number of fish measured, and upload the data to the control module 3. The control module 3 can calculate the activity coefficient B of the fish school in the fish pond 1 according to the effective movement times of the fish;

[0039] Wherein, B=y / Y, y=(y1+y2+...+yi) / i, i is the number of fish measured, i≠0, and after the camera 4 completes the measurement, it will number the corresponding fish according to the number of fish measured;

[0040] It should be noted here that this solution also needs to judge the effect of the feed on the fish school from the activity of the fish school. Based on this, this solution can measure the effective movement times yi of each fish in the fish pond 1 after feeding for a period of time through the camera 4, and match it with the algorithm pre-input into the control module 3.

[0041] That is, the average effective movement times y of the fish in the fish pond 1 after feeding for a period of time is obtained, and then the data is compared with the average effective movement times Y of the fish school in the fish pond 1 before feeding, so as to obtain the activity coefficient B of the fish school after feeding the feed. It should be noted that when the value of B is greater than 1, it means that the fish school becomes more active after feeding for a period of time, indicating that the feed is suitable for the fish school, and the higher the value of B, the higher the adaptability between the feed and the fish school; when the value of B is less than 1, it means that the fish school becomes more dull after feeding for a period of time, indicating that the feed is not suitable for the fish school, and the lower the value of B, the worse the adaptability between the feed and the fish school.

[0042] It is worth noting that, in order to ensure the accuracy of the activity coefficient B, the camera 4 of this solution will calculate the number of effective movements based on the number of accelerations, angular velocities and speeds generated by the corresponding fish per unit time.

[0043] The most important thing is that the growth condition P of the fish school in this scheme will be jointly affected by the growth coefficient L of the fish school, the scale growth rate A of the fish school and the activity coefficient B of the fish school. Based on this, this scheme also needs to integrate these data. This scheme also includes a central module 5, which is communicated with a number of control modules 3 respectively. The central module 5 numbers the control modules 3 in sequence: 1, 2, ..., n; n is the number of control modules 3. The control module 3 organizes the data transmitted by the camera 4 and transmits it to the central module 5. The central module 5 determines the growth condition P of the fish school according to the data uploaded by the control module 3, and determines the fish school with the best growth condition;

[0044] Wherein, P = {p1, p2, ..., pn}max, pn = Ln×An×Bn; n is the number of the control module 3. It should be noted that the higher the value of P, the higher the compatibility between the feed and the fish school; the lower the value of P, the worse the compatibility between the feed and the fish school. Among the fish ponds 1, the one with the highest P value indicates that the fish school of this scheme has the highest compatibility with the feed, and the growth of the fish school is the best when the feed is used to feed the fish school.

[0045] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Although the present invention has been disclosed as a preferred embodiment as above, it is not used to limit the present invention. Any technical personnel in this field can make some changes or modify the technical contents disclosed above into equivalent embodiments without departing from the scope of the technical solution of the present invention. However, any brief modifications, equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention are still within the scope of the technical solution of the present invention.

Claims

1. A system for verifying the optimal feed environment for grass carp growth, characterized in that: The invention comprises a plurality of fish ponds in which different feeds are put, and a plurality of monitoring systems, wherein the plurality of monitoring systems are matched one by one with the plurality of fish ponds, and any of the monitoring systems is arranged in a corresponding fish pond, and the monitoring system is used to monitor the feeding conditions of the fish schools in the corresponding fish ponds, the scale size of the fish schools, the scale density of the fish schools, the movement conditions of the fish schools, and the early symptoms of the diseases of the fish schools; The monitoring system includes a plurality of cameras, which are distributed throughout the fish pond, and the shooting ranges of the plurality of cameras are combined to form the range of the fish pond; The monitoring system further comprises a control module, which is respectively connected to a plurality of cameras for communication; the control module pre-inputs an average size M of a single fish scale of the fish school in the fish pond before feeding, and the camera is used to measure the scale size mi of each fish in the fish pond after feeding for a period of time, where i is the number of fish measured, and uploads the data to the control module, and the control module can calculate the growth coefficient L of the fish school in the fish pond according to the size of the fish scale; Where, L=m / M, m=(m1+m2+...+mi) / i, i is the number of fish measured, i≠0; The control module inputs the average reflectivity F of the fish in the fish pond before feeding in advance, and the camera is used to measure the reflective area f1i and the non-reflective area f2i of each fish in the fish pond after feeding for a period of time, where i is the number of fish measured, and uploads the data to the control module, and the control module can calculate the scale growth rate A of the fish in the fish pond according to the numerical value; Wherein, A=f / F, f=(f1+f2+...+fi) / i, fi=f1i / (f1i+f2i), i is the number of fish measured, i≠0, and after the camera completes the measurement, it will number the corresponding fish according to the number of fish measured; The control module inputs the average effective movement times Y of the fish school in the fish pond before feeding in advance, and the camera is used to measure the effective movement times yi of each fish in the fish pond after feeding for a period of time, where i is the number of fish measured, and upload the data to the control module. The control module can calculate the activity coefficient B of the fish school in the fish pond according to the effective movement times of the fish; Wherein, B=y / Y, y=(y1+y2+...+yi) / i, i is the number of fish measured, i≠0, and after the camera completes the measurement, it will number the corresponding fish according to the number of fish measured; It also includes a central module, which is respectively connected to the control modules for communication. The central module numbers the control modules in sequence: 1, 2, ..., n; n is the number of the control modules. The control modules organize the data transmitted by the cameras and transmit them to the central module. The central module determines the growth status P of the fish school according to the data uploaded by the control modules, and determines the fish school with the best growth status. P={p1, p2, ..., pn}max, pn=Ln×An×Bn; n is the number of the control module.

2. A system for verifying the optimal feed environment for grass carp growth according to claim 1, characterized in that: The fish scales measured by the camera are all located at the same position of the corresponding fish.

3. A system for verifying the optimal feed environment for grass carp growth according to claim 1, characterized in that: The reflective area f1i, non-reflective area f2i and reflectivity F measured by the camera are all located on the same side of the corresponding fish, and the measuring angle between the camera and the measured fish is the same, and i is the number of fish measured.

4. A system for verifying the optimal feed environment for grass carp growth according to claim 1, characterized in that: The camera calculates the effective movement times according to the acceleration, angular velocity and speed generated by the corresponding fish in unit time.

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