A method, system, medium and equipment for analyzing scallop behavior patterns

Abstract

The present application belongs to the technical field of scallop behavior patterns, and specifically discloses a method, system, medium, and equipment for analyzing scallop behavior patterns. The method is based on the displacement monitoring data of the scallop bivalve opening and closing movement, and proposes to use the opening and closing rate index to quantify the single opening and closing behavior of the scallop, and set different rate gradients to divide and classify the scallop opening and closing behavior. After gradient and weighted processing, the scallop opening and closing behavior activity index is obtained. This index characterizes the activity level of the scallop bivalve opening and closing movement in a certain time period, and can be used to analyze the rhythmic characteristics of the scallop opening and closing behavior in a certain time period, reflecting the scallop behavior patterns. In response to the problems of large amounts of shellfish behavior data and individual behavioral differences after long-term monitoring, the present invention proposes an efficient and quantifiable aquatic animal behavior analysis method. The method can be applied to the analysis of scallop behavioral patterns and provide technical support for aquatic animal behavior research.

Description

Technical Field

[0001] The present application belongs to the technical field of scallop behavioral patterns, and specifically discloses a method, system, medium and equipment for analyzing scallop behavioral patterns. Background Art

[0002] Biological behavior is the most direct response of an organism to external stimuli and is its most important life characteristic. Compared to terrestrial animal behavior, aquatic animal behavior research started later and is relatively underdeveloped, primarily due to the greater complexity and diversity of the aquatic environment. Currently, much of the research on aquatic animal behavior is descriptive, lacking effective methods to capture, transform, and interpret behavioral signals and analyze the patterns underlying aquatic behavior.

[0003] Shellfish, as an important marine aquaculture economic species in my country, have great economic value. The opening and closing behavior of bivalve shells, as an important biological behavior of shellfish, is closely related to their daily physiological activities such as feeding, breathing, swimming, and avoiding enemies. It can reflect the survival activity, environmental tolerance and stress resistance of shellfish, and has broad application prospects in the fields of aquaculture and water environment monitoring and evaluation. With the development of sensing technology, the displacement changes of shellfish bivalve opening and closing behavior can be captured and monitored in real time using methods such as optoelectronics and electromagnetics. However, there is still a lack of effective analysis methods to transform and process the opening and closing behavior of shellfish bivalve to form comparable data indicators and to mine and analyze the laws of shellfish opening and closing behavior. Therefore, to address the problems of large amounts of data after long-term monitoring and individual behavioral differences, the development of an efficient and quantifiable biobehavioral analysis method is of great significance for analyzing the laws of shellfish behavior and serving the behavioral research of aquatic animals. Summary of the Invention

[0004] The present invention discloses a method for analyzing the behavioral patterns of scallops, which is a new method for analyzing the behavioral patterns of scallops based on the opening and closing movement of the bivalve. This method is based on the displacement monitoring data of the opening and closing movement of the scallop bivalve, and proposes to use the opening and closing rate index to quantify the single opening and closing behavior of the scallop, and set different rate gradients to divide and classify the opening and closing behavior of the scallop. After gradient and weighted processing, the scallop opening and closing behavior activity index is obtained. This index characterizes the activity level of the bivalve opening and closing movement of the scallop in a certain time period, and can be used to analyze the rhythmic characteristics of the opening and closing behavior of the scallop in a certain time period, reflecting the behavioral patterns of the scallop. Its technical solution is:

[0005] A method for analyzing scallop behavior patterns comprises the following steps:

[0006] S1. Select live scallops and place them in a non-invasive underwater biosensor to obtain real-time shell displacement data as the scallops perform bivalve opening and closing movements. A two-dimensional coordinate system is established to plot a displacement curve over time.

[0007] S2. Obtain the maximum velocity V of each scallop bivalve opening and closing movement, where each bivalve opening and closing movement corresponds to a V value;

[0008] S3. Count and obtain the frequency of scallop opening and closing within time T;

[0009] S4. Calculate and obtain the scallop opening and closing behavior activity index F within the time period T.

[0010] Preferably, in step S1, according to the curve, the time it takes for the scallop bivalve to open and close once is used as a period. Within this period, the horizontal axis is set to time, and the vertical axis is set to the distance corresponding to the scallop bivalve at this moment, which is set as a point in a two-dimensional coordinate system.

[0011] Preferably, in step S2, the rate value at that time point is obtained by calculating the slope of the motion curve with the most adjacent coordinate, and all the curve slopes in the opening and closing cycle are calculated and counted, wherein the maximum slope represents the maximum rate V of the scallop's opening and closing movement, and each double shell opening and closing movement corresponds to a V value.

[0012] Preferably, the maximum rate V is used to quantify the single opening and closing behavior of the scallop, and different rate gradients are set to divide and classify the opening and closing behavior of the scallop.

[0013] Preferably, the F value of the scallop within a certain time period T is obtained by calculation. The higher the F value of the scallop, the more active the opening and closing movement of the scallop's bivalve within the T time period, that is, the higher the opening and closing frequency or opening and closing intensity.

[0014] Preferably, in step S3,

[0015] When 5≥V≥1mm / s, count the opening and closing frequency F of the scallop in the time period T α ;

[0016] When 10≥V>5mm / s, count the opening and closing frequency F of the scallop in the time period T β ;

[0017] When V>10mm / s, count the opening and closing frequency F of the scallop in the time period T γ ;

[0018] Based on F α 、F β 、F γ , calculate the scallop opening and closing behavior activity index F within the time period T, and the fitting formula is: Among them, A, B, and C are constants, reflecting the F β 、F γ 、F α The weight difference.

[0019] A scallop behavior analysis system includes an information collection module, a statistics module and a data processing module;

[0020] The information acquisition module can obtain the shell displacement change data of the scallop in real time when the bivalve opens and closes; establish a two-dimensional coordinate system and draw a displacement change curve over time;

[0021] Statistics module: Count the opening and closing frequency of scallops within time T;

[0022] Data processing module: calculate and obtain the scallop opening and closing behavior activity index F within the time period T.

[0023] An electronic device comprises a processor and a memory storing a computer program, wherein the processor implements methods 1 to 6 of the present application when executing the computer program.

[0024] A medium is a computer-readable storage medium, comprising a computer program, wherein the computer program implements methods 1 to 6 of the present application when executed by a processor.

[0025] Compared with the prior art, this application has the following beneficial effects:

[0026] This method, based on displacement monitoring data of the scallop bivalve opening and closing movement, proposes using an opening and closing rate index to quantify the scallop's single opening and closing behavior, and setting different rate gradients to classify the scallop's opening and closing behavior. After gradient and weighted processing, a scallop opening and closing behavior activity index is obtained. This index characterizes the activity level of the scallop's bivalve opening and closing movement within a certain time period, and can be used to analyze the rhythmic characteristics of scallop opening and closing behavior within a certain time period, reflecting the behavioral patterns of scallops. In response to the problems of large amounts of shellfish behavior data and individual behavioral differences after long-term monitoring, this invention proposes an efficient and quantifiable aquatic animal behavioral analysis method. This method can be applied to the analysis of scallop behavioral patterns and provide technical support for aquatic animal behavioral research. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 is the diurnal period F of three scallop individuals (S-1, S-2, S-3) in the specific case of the present invention α Stacked column chart.

[0028] Figure 2 This is a stacked bar chart of the daily cycle F of three scallop individuals (S-1, S-2, and S-3) in the specific case of the present invention.

[0029] Figure 3 This is a schematic diagram of the application process. DETAILED DESCRIPTION

[0030] In order to better understand the content of the present invention, specific examples are provided below to further illustrate the present invention.

[0031] A method for analyzing scallop behavior patterns comprises the following steps:

[0032] S1. The scallop species used in this example was Chlamys farreri, collected from the waters off Qingdao, Shandong Province. Three scallops of similar size and good activity were selected and numbered S-1, S-2, and S-3. Their size parameters are shown in Table 1.

[0033] Table 1:

[0034] Shell height (mm) Shell length (mm) Shell width (mm) Weight (g) S-1 36.08 32.08 10.44 6.77 S-2 35.81 31.75 9.92 6 S-3 34.79 28.72 9.76 5.56

[0035] By placing live scallops in a non-invasive underwater biosensor, real-time data on the shell displacement changes of the scallops during the opening and closing of their bivalve can be obtained. Long-term in-situ monitoring is also carried out in the Tuandao waters of Qingdao. The frequency of scallop bivalve displacement data collection is 10Hz, and a total of 35 days of monitoring data is obtained for each live scallop.

[0036] S2. Based on the displacement change data of the scallop bivalve opening and closing movement, a two-dimensional coordinate system is established to draw a displacement change curve that changes with time; according to the curve, the opening and closing time of the scallop bivalve is used as a cycle. Within this cycle, the horizontal axis is set to time, and the vertical axis is set to the distance corresponding to the scallop bivalve at this moment. It is set as a point in the two-dimensional coordinate system, and the rate value at that time point is obtained by calculating the slope of the motion curve with the most adjacent coordinate. Calculate and count all the slopes of the curves within the opening and closing cycle, where the maximum slope represents the highest rate V of the scallop's opening and closing movement. Each opening and closing movement of the bivalve corresponds to a V value, in units of mm / s;

[0037] The opening and closing velocity index (V) is used to quantify the single opening and closing behavior of scallops. Different velocity (V) gradients are set to classify the opening and closing behavior of scallops. Taking the common scallop species in my country, Chlamys farreri, as an example, three velocity (V) gradients are usually set: 1 mm / s, 5 mm / s, and 10 mm / s.

[0038] S3. In this example, when 5 ≥ V ≥ 1 mm / s, the frequency of bivalve opening and closing of three scallops per hour is obtained. αThe results for individual S-1 are shown in Table 2-1, those for individual S-2 are shown in Table 2-2, and those for individual S-3 are shown in Table 2-3. The first row, T00, represents the daily time period from 00:00 to 01:00 (excluding 01:00), T01 represents the daily time period from 01:00 to 02:00 (excluding 02:00), and so on, up to T023, representing the daily time period from 23:00 to 00:00 the following day (excluding 00:00 the following day). The first column represents monitoring days 1 to 35, denoted by D1, D2, ..., D35, respectively.

[0039] In this example, when 10≥V>5mm / s, the frequency of bivalve opening and closing of three scallops per hour was obtained by counting F. β , where individual S-1 monitors F every hour for 35 days β The results of individual S-2 are shown in Table 3-2, and the results of individual S-3 are shown in Table 3-3.

[0040] In this example, when V>10 mm / s, the frequency of bivalve opening and closing of three scallops per hour was obtained. γ , where individual S-1 monitors F every hour for 35 days γ The results of individual S-2 are shown in Table 4-2, and the results of individual S-3 are shown in Table 4-3.

[0041] In this example, based on F α 、F β 、F γ , calculate the scallop opening and closing behavior activity index F of the three scallop individuals per hour, and the calculation formula is: Among them, A, B, and C are constants, reflecting the F β 、F γ 、F α In this example, assume A = 1, B = 1, and C = 1. The calculated results of hourly F for individual S-1 over 35 days are shown in Table 5-1, the results for individual S-2 are shown in Table 5-2, and the results for individual S-3 are shown in Table 5-3.

[0042] Through calculation, it was found that the F values ​​of the same scallop in different time periods are comparable, and the higher the F value of the scallop, the more active the opening and closing movement of the scallop's bivalve during that period, that is, the higher the opening and closing frequency or opening and closing intensity.

[0043] In this example, the scallops per hour F α As an example, the daily cycles F of three scallop individuals are plotted. α Stacked column chart ( Figure 1 The results showed that there were significant differences in the diurnal opening and closing behaviors of the three scallop individuals. If we draw a stacked bar chart of the diurnal opening and closing behaviors of the three scallop individuals based on the F index ( Figure 2The results showed that the opening and closing behaviors of the three scallops were more active around 0:00-7:00 and 17:00-23:00 every day ( Figure 2 ), and the daily behavior peaks are concentrated in the periods of 0:00-1:00, 5:00-7:00, and 18:00-19:00 ( Figure 2 The F-index analysis revealed that different scallop individuals exhibited similar diurnal activity patterns. These results suggest that scallops' opening and closing behavior is more active at night and follows a diurnal rhythm.

[0044] In the study of scallop behavioral patterns, this invention provides an efficient and quantifiable method for analyzing bivalve opening and closing behavior. This method comprehensively considers the role of opening and closing frequency and intensity in evaluating the activity index of bivalve opening and closing behavior. It transforms bivalve displacement indicators into quantifiable and comparable data indicators, which facilitates the exploration and analysis of bivalve opening and closing behavior patterns. This method can be applied to the analysis of scallop behavioral patterns, providing technical support for aquatic animal behavioral research.

[0045] Table 2-1 F of individual S-1 when 5≥V≥1mm / s α Statistical results (D1-D20):

[0046]

[0047] When 5≥V≥1mm / s individual S-1 F α Statistical results continued (D21-D35):

[0048]

[0049] Table 2-2 AF of individual S-2 when 5≥AV≥1mm / s α Statistical results (D1-D21):

[0050]

[0051] When 5≥V≥1mm / s, the F of individual S-2 α Statistical results continued (D21-D35):

[0052]

[0053] Table 2-3 F of individual S-3 when 5≥V≥1mm / s α Statistical results (D1-D20):

[0054]

[0055] When 5≥V≥1mm / s, the F of individual S-3 αStatistical results continued (D21-D35):

[0056]

[0057] Table 3-1 When 10≥V>5mm / s, the frequency F of bivalve opening and closing in scallop individual S-1 per hour β (D1-D20):

[0058]

[0059] When 10≥V>5mm / s, the frequency of bivalve opening and closing of scallop individual S-1 per hour F β Continued table (D21-D35):

[0060]

[0061] Table 3-2 When 10≥V>5mm / s, the frequency F of bivalve opening and closing per hour for scallop individual S-2 β (D1-D20):

[0062]

[0063] When 10≥V>5mm / s, the frequency of bivalve opening and closing of scallop individual S-2 per hour F β Continued table (D21-D35):

[0064]

[0065] Table 3-3 When 10≥V>5mm / s, the frequency F of bivalve opening and closing per hour for scallop individual S-3 β (D1-D20):

[0066]

[0067] When 10≥V>5mm / s, the frequency of bivalve opening and closing of scallop individual S-3 per hour F β Continued table (D21-D35):

[0068]

[0069] Table 4-1 When V>10mm / s, the frequency F of bivalve opening and closing of scallop individual S-1 per hour γ (D1-D20):

[0070]

[0071] When V>10mm / s, the frequency of bivalve opening and closing of scallop individual S-1 per hour is F γ Continued table (D21-D35):

[0072]

[0073] Table 4-2 When V>10mm / s, the frequency F of bivalve opening and closing per hour for scallop individual S-2 γ (D1-D20):

[0074]

[0075] When V>10mm / s, the frequency of bivalve opening and closing of scallop individual S-2 per hour is F γ Continued table (D21-D35):

[0076]

[0077] Table 4-3 When V>10mm / s, the frequency F of bivalve opening and closing per hour for scallop individual S-3 γ (D1-D20):

[0078]

[0079] When V>10mm / s, the frequency of bivalve opening and closing of scallop individual S-3 per hour is F γ Continued table (D21-D35):

[0080]

[0081] Table 5-1 Calculation results of hourly F for individual S-1 monitored for 35 days (D1-D20):

[0082]

[0083] Calculation results of hourly F for individual S-1 monitored for 35 days (D21-D35):

[0084]

[0085] Table 5-2 Calculation results of hourly F for individual S-2 monitoring for 35 days (D1-D20):

[0086]

[0087] Calculation results of hourly F for individual S-2 monitored for 35 days (D21-D35):

[0088]

[0089] Table 5-3 Calculation results of hourly F for individual S-3 monitoring for 35 days (D1-D20):

[0090]

[0091] Calculation results of hourly F for individual S-3 monitored for 35 days (D21-D35):

[0092]

[0093] The above-described embodiments merely illustrate several implementations of the present invention, and while their descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the patent. It should be noted that a person skilled in the art would be able to make numerous variations and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the patent for this invention shall be determined by the appended claims.

Claims

1. A method for analyzing the behavior of scallops, characterized in that: The following steps are involved: S1. Select live scallops and place them in a non-invasive underwater biosensor to obtain real-time shell displacement data as the scallops perform bivalve opening and closing movements. A two-dimensional coordinate system is established to plot a displacement curve over time. S2. Obtain the maximum speed of each scallop bivalve opening and closing movement Each double shell opening and closing movement corresponds to a value; S3. Count and obtain the frequency of scallop opening and closing within time T; When 5 ≥1 mm / s, statistics Frequency of scallop opening and closing within a certain period of time ; when >5 mm / s, statistics Frequency of scallop opening and closing within a certain period of time ; when >10 mm / s, statistics Frequency of scallop opening and closing within a certain period of time ; based on 、 、 , calculated to obtain Scallop opening and closing behavior activity index within a time period , the fitting formula is: ,in 、 、 are constants, reflecting the 、 、 The weight difference; S4. Calculate the Scallop opening and closing behavior activity index within a time period .

2. A method for analyzing scallop behavior patterns according to claim 1, characterized in that, In step S1, according to the curve, the time it takes for the scallop bivalve to open and close once is taken as a period. Within this period, the horizontal axis is set to time, and the vertical axis is set to the distance corresponding to the scallop bivalve at this moment, which is set as a point in the two-dimensional coordinate system.

3. A method for analyzing scallop behavior patterns according to claim 1, characterized in that, In step S2, the rate value at that time point is obtained by calculating the slope of the motion curve with the coordinate closest to it, and all the slopes of the curves in the opening and closing cycle are calculated and counted, wherein the maximum slope represents the highest rate of the scallop's opening and closing movement. Each double shell opening and closing movement corresponds to a value.

4. A method for analyzing scallop behavior patterns according to claim 1, characterized in that, Utilize the highest rate Quantify the single opening and closing behavior of scallops, set different rate gradients, and classify the opening and closing behavior of scallops.

5. A method for analyzing scallop behavior patterns according to claim 1, characterized in that, Obtained by calculation Scallops within a time period Value, scallops The higher the value, the more The more active the bivalve opening and closing movement is within a time period, that is, the higher the opening and closing frequency or the opening and closing intensity is.

6. A system for analyzing the behavior of scallops according to any one of claims 1 to 5, characterized in that: Including information collection module, statistics module and data processing module; The information acquisition module can obtain the shell displacement change data of the scallop in real time when the bivalve opens and closes; establish a two-dimensional coordinate system and draw a displacement change curve over time; Statistics module: Count the opening and closing frequency of scallops within time T; Data processing module: calculate and obtain the Scallop opening and closing behavior activity index within a time period .

7. An electronic device comprising a processor and a memory storing a computer program, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 5 is implemented.

8. A medium, said medium being a computer-readable storage medium, comprising a computer program, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 5 is implemented.

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