Fish ingestion intensity quantification device based on vibration spectrogram and intensity classification method

Abstract

The invention discloses a fish ingestion intensity quantification device based on a vibration spectrogram, and the device comprises a breeding part which comprises a fixed part and a breeding assembly disposed below the fixed part; the quantification part comprises a sensing assembly arranged in the cultivation assembly and a monitoring assembly arranged below the fixing part; according to the invention, all-weather monitoring of fish behaviors can be realized, manual intervention is not needed, and the monitoring accuracy and efficiency are improved; by controlling the feeding amount of fish feed, measures can be taken in time to prevent water quality pollution and disease transmission, and loss is reduced; the system is easy to install and maintain, high in expandability and suitable for aquaculture places of different scales and types; long-term data accumulation is beneficial to establishment of a more perfect fish behavior model, and valuable data is provided for scientific research.

Description

Technical Field

[0001] The invention relates to the technical field of aquaculture, and in particular to a fish feeding intensity quantification device based on a vibration spectrum diagram and an intensity classification method. Background Art

[0002] In modern fishery farming, high-density farming technology has become a new farming technology that has gradually become popular in the field of aquaculture. In aquaculture, the amount of feed fed is particularly important. Excessive feed feeding can easily cause water pollution, fish death and the spread of disease; while too little feed will cause poor growth and development of fish.

[0003] Traditional monitoring methods rely on manual observation or vision. These methods are more effective for aquaculture with small amounts of breeding. However, for modern high-density breeding technology, traditional imaging technology often cannot achieve good results, and manual work is more time-consuming and labor-intensive. Therefore, it is particularly important to develop a device that can efficiently, continuously and automatically monitor fish feeding intensity. Summary of the invention

[0004] In view of the problems existing in the above-mentioned existing fish feeding intensity quantification device based on vibration spectrum diagram, the present invention is proposed.

[0005] Therefore, the object of the present invention is to provide a device for quantifying fish feeding intensity based on a vibration spectrum diagram.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] As a preferred embodiment of the fish feeding intensity quantification device based on the vibration spectrum diagram described in the present invention, it includes: a breeding component, which includes a fixing part and a cultivation component arranged below the fixing part; a quantification component, which includes a sensor component arranged inside the cultivation component and a monitoring component arranged below the fixing part.

[0008] As a preferred solution of the device for quantifying fish feeding intensity based on vibration spectrum diagram described in the present invention, the fixing member includes a fixing frame, a supporting frame arranged above the fixing frame, and a steel wire arranged below the supporting frame.

[0009] As a preferred embodiment of the device for quantifying fish feeding intensity based on vibration spectrum diagram of the present invention, the cultivation component includes a circulating water culture barrel arranged below the fixed frame, and a feeder arranged at the upper end of the circulating water culture barrel and fixedly connected to the fixed frame; wherein the feeder is connected to the fixed frame by bolts and fixed to the top of the fixed frame.

[0010] As a preferred solution of the device for quantifying fish feeding intensity based on vibration spectrum diagram described in the present invention, the sensing component includes a vibration sensor arranged at one end of the steel wire and an industrial computer arranged at the top of the fixing frame.

[0011] As a preferred solution of the fish feeding intensity quantification device based on vibration spectrum diagram described in the present invention, the monitoring component includes a camera arranged below the top of the fixing frame, a video recorder arranged above the top of the fixing frame, and a display arranged on one side of the industrial computer.

[0012] As a preferred embodiment of the method for classifying fish feeding intensity based on vibration spectrum diagram described in the present invention, it includes: a device for quantifying fish feeding intensity based on vibration spectrum diagram, and also includes: judging the feeding of fish school by water waves generated by fish swimming in different states, so as to observe the fish school through a camera.

[0013] As a preferred embodiment of the method for classifying fish feeding intensity based on vibration spectrum diagram described in the present invention, before feeding, a spectrum diagram of water waves is drawn, which includes: collecting water waves through a vibration sensor; an industrial computer is used to receive vibration sensor data collected by a high-precision six-axis sensor, denoise the data, and draw a spectrum diagram; and at the same time, the data is input into a deep learning model for training, and then three feeding intensities of strong, medium, and weak are obtained.

[0014] As a preferred embodiment of the method for classifying fish feeding intensity based on vibration spectrum diagram described in the present invention, three feeding intensities, strong, medium and weak, are obtained during feeding, and finally the feeder is guided to feed the corresponding amount of feed.

[0015] As a preferred embodiment of the method for classifying fish feeding intensity based on vibration spectrum diagram described in the present invention, after feeding, video information of the fish while feeding is collected through the cooperation between the display, camera and video recorder, and combined with the six-axis vibration sensor to analyze the fish feeding intensity information.

[0016] The beneficial effects of the invention are as follows: the invention can realize all-weather monitoring of fish behavior without human intervention, thereby improving the accuracy and efficiency of monitoring; by controlling the amount of fish feed fed, timely measures can be taken to prevent water pollution and disease transmission, thereby reducing losses; the system is easy to install and maintain, has strong scalability, and is suitable for aquaculture sites of different sizes and types; long-term data accumulation helps to establish a more complete fish behavior model, providing valuable information for scientific research. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0018] Figure 1 It is a schematic diagram of the overall structure of a device for quantifying fish feeding intensity based on a vibration spectrum diagram of the present invention;

[0019] Figure 2 It is a front view of a device for quantifying fish feeding intensity based on a vibration spectrum diagram of the present invention;

[0020] Figure 3 The feeding flow chart of the feeding machine controlled by vibration information is described. DETAILED DESCRIPTION

[0021] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0022] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0023] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0024] Secondly, the present invention is described in detail with reference to the schematic diagram. When describing the embodiments of the present invention in detail, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0025] Example 1

[0026] Reference Figure 1-3, a device for quantifying fish feeding intensity based on a vibration spectrum diagram is provided, comprising a breeding component 100, which comprises a fixing member 101, and a breeding component 102 disposed below the fixing member 101; a quantifying component 200, which comprises a sensing component 201 disposed inside the breeding component 102, and a monitoring component 202 disposed below the fixing member 101;

[0027] The fixing member 101 and the cultivation component 102 are used to simulate the on-site environment of fish farming, the vibration frequency of water waves generated by the fish school is tested through the sensor component 201, and the situation of the fish school after feeding is monitored through the monitoring component 202.

[0028] Specifically, the fixing member 101 includes a fixing frame 101a, a supporting frame 101b arranged above the fixing frame 101a, and a steel wire 101c arranged below the supporting frame 101b. The steel wire 101c is an elastic steel wire 101c, which has good flexibility and is not easy to break. The elastic steel wire 101c is used to fix the vibration sensor 201a, so that the vibration sensor 201a can accurately sense water wave vibration and improve accuracy.

[0029] Furthermore, the cultivation component 102 includes a circulating water breeding barrel 102a arranged below the fixed frame 101a, and a feeder 102b arranged at the upper end of the circulating water breeding barrel 102a and fixedly connected to the fixed frame 101a; wherein the feeder 102b is connected to the fixed frame 101a by bolts and fixed to the top of the fixed frame 101a, and the feeder 102b is fixed to the top of the fixed frame 101a and placed downward, and different feeding amounts are determined by receiving the feeding intensity transmitted by the sensor component 201.

[0030] Furthermore, the sensing component 201 includes a vibration sensor 201a provided at one end of the steel wire 101c and an industrial computer 201b provided at the top of the fixing frame 101a. The vibration sensor 201a is used to receive the vibration sensor 201a data when the fish is feeding, and transmit the data to the industrial computer 201b for integration, and is used to receive the vibration sensor 201a data collected by the vibration sensor 201a, denoise it, draw a spectrum diagram, and input it into the deep learning model for training, and then obtain three feeding intensities of strong, medium and weak, and finally guide the feeder 102b to feed the corresponding amount of feed.

[0031] Furthermore, the monitoring component 202 includes a camera 202a arranged below the top of the fixing frame 101a, a video recorder 202b arranged above the top of the fixing frame 101a, and a display 202c arranged on one side of the industrial computer 201b. The camera is connected to the video recorder 202b to collect video information of fish when feeding, and is combined with the vibration sensor 201a to analyze the feeding intensity information of the fish. The video recorder 202b is used to store the video information of the camera 202a for real-time viewing. The display 202c is used to display the video data saved by the video recorder 202b in real time, and can also display the status of the high-precision vibration sensor 201a in real time.

[0032] Example 2

[0033] Reference Figure 1-3 This embodiment is different from the first embodiment in that the vibration sensor 201a adopts a six-axis vibration sensor 201a, and the six-axis vibration sensor 201a is packaged with silicone to achieve a waterproof effect. At the same time, it can also prevent the sharp edges of the six-axis vibration sensor 201a from causing damage to the fish, and the six-axis vibration sensor 201a has better perception ability.

[0034] The rest of the structure is the same as that of Example 1.

[0035] Example 3

[0036] Reference Figure 1-3 This embodiment is different from the above embodiments in that: this embodiment proposes a method for classifying fish feeding intensity based on a vibration spectrum diagram, and judging the feeding of fish schools through water waves generated by fish swimming in different states, thereby observing the fish schools through camera 202a.

[0037] Specifically, before feeding, the spectrum of water waves is drawn, which includes:

[0038] The water waves are collected by the vibration sensor 201a;

[0039] The industrial computer 201b is used to receive the vibration sensor 201a data collected by the high-precision six-axis sensor, denoise it, and draw a spectrum diagram;

[0040] At the same time, the data were input into the deep learning model for training, and then three feeding intensities: strong, medium, and weak were obtained.

[0041] Furthermore, during feeding, three feeding intensities, namely strong, medium and weak, are obtained, and finally the feeder 102b is instructed to feed the corresponding amount of feed.

[0042] Furthermore, after feeding, the video information of the fish while feeding is collected through the cooperation between the display 202c, the camera 202a and the video recorder 202b, and combined with the six-axis vibration sensor 201a to analyze the fish feeding intensity information.

[0043] The deep learning module is mainly carried out in the industrial computer 201b. The vibration information of different feeding intensities collected in the early stage is denoised and then plotted into corresponding spectrum diagrams. The spectrum diagrams are input into the industrial computer 201b for training. The trained model can accurately identify the feeding intensity when new vibration information is input, and guide the feeder 102b to feed the feed.

[0044] The rest of the structure is the same as that of Example 2.

[0045] Importantly, it should be noted that the construction and arrangement of the present application shown in a plurality of different exemplary embodiments are only exemplary. Although only a few embodiments are described in detail in this disclosure, it should be readily understood by those who refer to this disclosure that many modifications are possible (e.g., the size, scale, structure, shape and proportion of various elements, as well as parameter values ​​(e.g., temperature, pressure, etc.), mounting arrangements, use of materials, color, directional changes, etc.) without substantially departing from the novel teachings and advantages of the subject matter described in the application. For example, the element shown as integrally formed can be composed of multiple parts or elements, the position of the element can be inverted or otherwise changed, and the nature or number or position of the discrete element can be changed or changed. Therefore, all such modifications are intended to be included in the scope of the present invention. The order or sequence of any process or method steps can be changed or reordered according to alternative embodiments. In the claims, any "device plus function" clause is intended to cover the structure described herein that performs the function, and is not only structurally equivalent but also equivalent structure. Without departing from the scope of the present invention, other replacements, modifications, changes and omissions can be made in the design, operating conditions and arrangement of the exemplary embodiments. Therefore, the invention is not limited to a specific embodiment, but extends to numerous modifications still falling within the scope of the appended claims.

[0046] Additionally, in order to provide a concise description of exemplary embodiments, all features of an actual embodiment (ie, those features that are not relevant to the best mode presently contemplated for carrying out the invention or those that are not relevant to implementing the invention) may not be described.

[0047] It will be appreciated that in the development of any actual implementation, as in any engineering or design project, numerous implementation-specific decisions may be made. Such a development effort may be complex and time-consuming, but will be a routine task of design, fabrication, and production for those of ordinary skill having the benefit of this disclosure without undue experimentation.

[0048] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A device for quantifying fish feeding intensity based on a vibration spectrum, characterized in that: include: A breeding component (100) comprising a fixing member (101) and a breeding component (102) disposed below the fixing member (101); The quantification component (200) comprises a sensor component (201) arranged inside the cultivation component (102), and a monitoring component (202) arranged below the fixing component (101).

2. The device for quantifying fish feeding intensity based on vibration spectrum diagram according to claim 1, characterized in that: The fixing member (101) comprises a fixing frame (101a), a supporting frame (101b) arranged above the fixing frame (101a), and a steel wire (101c) arranged below the supporting frame (101b).

3. The device for quantifying fish feeding intensity based on vibration spectrum diagram according to claim 2, characterized in that: The cultivation component (102) comprises a circulating water culture barrel (102a) disposed below the fixed frame (101a), and a feeder (102b) disposed at the upper end of the circulating water culture barrel (102a) and fixedly connected to the fixed frame (101a); Wherein, the feeder (102b) is connected to the fixing frame (101a) by bolts and is fixed on the top of the fixing frame (101a).

4. The device for quantifying fish feeding intensity based on vibration spectrum diagram according to claim 3, characterized in that: The sensor assembly (201) comprises a vibration sensor (201a) arranged at one end of the steel wire (101c) and an industrial control computer (201b) arranged at the top of the fixing frame (101a).

5. The device for quantifying fish feeding intensity based on vibration spectrum diagram according to claim 4, characterized in that: The monitoring component (202) comprises a camera (202a) arranged below the top of the fixing frame (101a), a video recorder (202b) arranged above the top of the fixing frame (101a), and a display (202c) arranged on one side of the industrial computer (201b).

6. The device for quantifying fish feeding intensity based on vibration spectrum diagram according to claim 5, characterized in that: The vibration sensor (201a) is a six-axis vibration sensor, and the six-axis vibration sensor is packaged using silica gel.

7. A method for classifying fish feeding intensity based on vibration spectrogram, characterized in that: The fish feeding intensity quantification device based on the vibration spectrum diagram described in rights 1 to 6 is used to feed food and monitor fish schools, and the feeding amount of the fish school is judged by the water waves generated by the fish swimming in different states, so that the state of the fish school after feeding can be observed through the camera (202a).

8. The method for classifying fish feeding intensity based on vibration spectrum diagram according to claim 7, characterized in that: Before feeding, draw the spectrum of water waves, which includes: The water waves are collected by a vibration sensor (201a); The industrial computer (201b) is used to receive the vibration sensor (201a) data collected by the six-axis sensor, perform noise elimination on the data, and draw a frequency spectrum diagram; At the same time, the data were input into the deep learning model for training, and then three feeding intensities: strong, medium, and weak were obtained.

9. The method for classifying fish feeding intensity based on vibration spectrum diagram according to claim 8, characterized in that: When feeding, three feeding intensities of strong, medium and weak are obtained, and finally the feeder (102b) is instructed to feed the corresponding amount of feed.

10. The method for classifying fish feeding intensity based on vibration spectrum diagram according to claim 9, characterized in that: After feeding, the display (202c), the camera (202a) and the video recorder (202b) are used to collect video information of the fish while feeding, and the information of the fish feeding intensity is analyzed in combination with the six-axis vibration sensor (201a).

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