Sea grape cultivation monitoring system and method

Abstract

The invention relates to the technical field of aquaculture, in particular to a sea grape culture monitoring system and method, and the system comprises a data collection module which is used for collecting culture pond data and sea grape culture density; the water quality analysis module is used for constructing an activity index according to the pH value of the culture pond, the dissolved oxygen of the culture pond and the ammonia nitrogen concentration of the culture pond collected in the monitoring period, and analyzing the activity state of the sea grapes according to the activity index; the salinity analysis module is used for analyzing the salinity fluctuation abnormity of the culture pond, and the nutrition monitoring module is used for analyzing the nutrition state of the culture pond; the culture management module is used for managing the water flow speed of the culture pond in the next culture cycle according to the active state of the sea grapes in the culture cycle, the salinity fluctuation abnormity of the culture pond, the nutrition state of the culture pond, the culture density of the sea grapes and the water depth of the culture pond; and the output module outputs the management result of the water flow speed to a user. The culture monitoring efficiency of the sea grapes is effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of aquaculture, and in particular to a sea grape cultivation monitoring system and method. Background Art

[0002] Sea grapes are a kind of aquaculture species with high economic value, and their growth requires high environmental conditions. Traditional sea grape farming methods mainly rely on manual experience for environmental monitoring and management, which has problems such as low monitoring efficiency and inaccurate management. In the prior art, although there are some monitoring methods for sea grape farming, most of them only analyze a single environmental factor (such as salinity) and cannot fully reflect the comprehensive state of the farming environment. Therefore, the development of a system and method that can comprehensively and real-time monitor the sea grape farming environment is of great significance to improving the farming efficiency and yield of sea grapes.

[0003] Chinese patent publication number CN107593419A discloses a circulation culture method for low-salinity sea grapes, which relates to the field of aquaculture technology. The culture method of the present invention comprises the following steps: (1) preparation of a culture pond, (2) initial planting, (3) secondary planting, (4) circulation culture, and (5) harvesting. The present invention utilizes a circulating water system to culture grape algae, which not only saves water resources, but also makes the culture process fully controllable, avoiding food safety problems such as heavy metal pollution. At the same time, the salinity of the culture liquid is gradually reduced by water circulation, shortening the adaptation period of the sea grapes to the environment, without affecting their growth rate and yield. The sea grape products cultured by the present method do not need to be desalted separately, and the products have little fishy smell, good taste, high nutritional value, and can meet the dietary needs of modern people. It can be seen that the scheme only analyzes the salinity when monitoring the culture of sea grapes, and there are problems such as low efficiency in sea grape culture monitoring and low sea grape yield. Summary of the invention

[0004] The object of the present invention is to provide a sea grape cultivation monitoring system and method to solve at least one of the problems existing in the prior art.

[0005] To achieve the above object, the present invention adopts the following technical solutions: A sea grape cultivation monitoring system, comprising: Data collection module, used to collect data on aquaculture ponds and sea grape aquaculture density; The water quality analysis module is used to construct an activity index based on the pH value, dissolved oxygen and ammonia nitrogen concentration of the aquaculture pool collected during the monitoring period, and analyze the activity status of sea grapes based on the activity index; A nutrition monitoring module, for analyzing the nutrition status of the culture pond according to the nitrate concentration, phosphate concentration and silicate concentration collected during the management period; the nutrition monitoring module includes a nutrition analysis unit and a nutrition status analysis unit, the nutrition analysis unit is used to construct a first nutrition abnormality coefficient and a second nutrition abnormality coefficient according to the nitrate concentration, phosphate concentration and silicate concentration collected during the management period, and the nutrition status analysis unit analyzes the nutrition status of the culture pond according to the construction results of each nutrition abnormality coefficient; The aquaculture management module is used to manage the water flow velocity of the aquaculture pond in the next aquaculture cycle according to the activity status of the sea grapes, abnormal salinity fluctuations in the aquaculture pond, the nutritional status of the aquaculture pond, the sea grape aquaculture density and the water depth of the aquaculture pond.

[0006] Furthermore, it also includes a salinity analysis module, which is used to calculate the salinity fluctuation rate BD of the breeding pond according to the salinity of the breeding pond collected during the management period, and analyze the abnormality of the salinity fluctuation of the breeding pond according to the salinity fluctuation rate BD. If BD≤b0, the salinity analysis module determines that the salinity fluctuation of the breeding pond in the current management period is normal. Otherwise, the salinity analysis module determines that the salinity fluctuation of the breeding pond in the current management period is abnormal.

[0007] Further, the water quality analysis module includes an activity index construction unit for constructing a pH offset factor py according to the pH value of the aquaculture pond collected during the monitoring period, and setting py=|pH value of the aquaculture pond-YpH| / α1, where YpH is a preset pH threshold and α1 is a first preset reference threshold; The activity index construction unit constructs a dissolved oxygen offset factor ry according to the dissolved oxygen a0 of the aquaculture pond collected during the monitoring period, and sets ry=|a0-α2| / α2, where α2 is a second preset reference threshold; The activity index construction unit constructs an ammonia nitrogen offset factor ay according to the ammonia nitrogen concentration n0 of the aquaculture pond collected during the monitoring period, and sets ay=n0×e T / α3, α3 is the third preset reference threshold, T is the preset proportional coefficient, and e is the natural logarithm.

[0008] Furthermore, the water quality analysis module further comprises an activity state analysis unit, and the activity state analysis unit is used to construct an activity index HX according to a pH offset factor py, a dissolved oxygen offset factor ry and an ammonia nitrogen offset factor ay; The activity state analysis unit analyzes the activity state of the sea grape according to the activity index HX and the preset activity index HX0. If HX≤HX0, the activity state analysis unit determines that the activity state of the sea grape is normal. Otherwise, the activity state analysis unit determines that the activity state of the sea grape is abnormal and issues a water quality optimization warning to the user.

[0009] Further, the nutrition analysis unit constructs a first nutrition abnormality coefficient according to the nitrate concentration c1 and the phosphate concentration c2 collected during the management period. If c1 / c2≤E1, the nutrition analysis unit sets the first nutrition abnormality coefficient to DY1, and sets DY1=0. If c1 / c2>E1, the nutrition analysis unit sets the first nutrition coefficient to DY2, and sets DY2=lg[2×(c1 / c2-E1)+1] / lg3. The nutrition analysis unit is also used to construct a second nutrition abnormality coefficient according to the silicate concentration c3 collected during the management period. If c3 / c0≤E2, the nutrition analysis unit sets the second nutrition abnormality coefficient to SD1, setting SD1=0; if c3 / c0>E2, the nutrition analysis unit sets the second nutrition coefficient to SD2, setting SD2=(c3 / c0-E2) / U; Among them, E1 is the first preset abnormal ratio, E2 is the second preset abnormal ratio, c0 is the maximum soluble silicate concentration in the breeding pond, and U is the preset dissolution threshold.

[0010] Further, the nutritional status analysis unit analyzes the nutritional status of the culture pond according to the construction results of the first nutritional abnormality coefficient and the second nutritional abnormality coefficient, wherein: If r1×the first nutritional abnormality coefficient+r2×the second nutritional abnormality coefficient≤K, the nutritional status analysis unit determines that the nutritional status of the aquaculture pond in the current management period is normal; otherwise, the nutritional status analysis unit determines that the nutritional status of the aquaculture pond in the current management period is abnormal; Among them, r1 is the first weight, r2 is the second weight, and K is the preset nutritional status index.

[0011] Furthermore, the aquaculture management module includes a water flow management unit, which is used to analyze the state of the aquaculture pond according to the analysis results of the activity state of the sea grapes in the aquaculture cycle, the analysis results of the abnormality of the salinity fluctuation of the aquaculture pond, and the analysis results of the nutrient state of the aquaculture pond, and manage the water flow speed of the aquaculture pond in the next aquaculture cycle according to the state of the aquaculture pond, wherein: If G1×zt0 / zt1-G2×yb0 / P+G3×yy0 / P≤u0, the water flow management unit determines that the state of the breeding pond in the current breeding cycle is normal, and sets the water flow speed of the breeding pond in the next breeding cycle to V1, setting V1=v0; If G1×zt0 / zt1-G2×yb0 / P+G3×yy0 / P>u0, the water flow management unit determines that the state of the breeding pond in the current breeding cycle is abnormal, and sets the water flow velocity of the breeding pond in the next breeding cycle to V2, setting V2=v0+v1×(G1×zt0 / zt1-G2×yb0 / P+G3×yy0 / P-u0); Among them, zt0 is the number of monitoring cycles for water quality optimization warnings to users during the breeding cycle, zt1 is the number of monitoring cycles during the breeding cycle, yb0 is the number of monitoring cycles for abnormal salinity fluctuations in the breeding pond during the breeding cycle, P is the number of management cycles during the breeding cycle, yy0 is the number of management cycles for abnormal nutritional status during the breeding cycle, G1 is the water quality weight, G2 is the salinity weight, G3 is the nutritional weight, G1+G2+G3=1, v0 is the water flow velocity of the breeding pond in the current breeding cycle, v1 is the preset adjustment speed, and u0 is the preset status threshold.

[0012] Furthermore, the aquaculture management module further includes a density analysis unit, which is used to analyze the abnormality of sea grape aquaculture density according to the collected sea grape aquaculture density m0 and the preset density m1, wherein: If m0≤m1, the density analysis unit determines that the sea grape cultivation density is normal, otherwise, the density analysis unit determines that the sea grape cultivation density is abnormal; The density analysis unit processes the analysis process of the culture pond state when the sea grape culture density is abnormal, and sets the processed preset adjustment speed to v2.

[0013] Furthermore, the aquaculture management module further includes a water depth analysis unit, which is used to analyze the abnormality of the water depth of the aquaculture pond according to the collected water depth ss0 of the aquaculture pond and the preset water depth ss1, wherein: If ss0≤ss1, the water depth analysis unit determines that the water depth of the breeding pond is normal, otherwise, the water depth analysis unit determines that the water depth of the breeding pond is abnormal; The water depth analysis unit processes the analysis process of the abnormality of the sea grape culture density when the water depth of the culture pond is abnormal, and sets the processed preset density to m2.

[0014] On the other hand, the present invention also provides a sea grape cultivation monitoring method, comprising: Step S1, collecting breeding pond data and sea grape breeding density; Step S2, constructing an activity index according to the pH value, dissolved oxygen and ammonia nitrogen concentration of the aquaculture pond collected during the monitoring period, and analyzing the activity state of the sea grape according to the activity index; Step S3, calculating the salinity fluctuation rate of the aquaculture pond according to the salinity of the aquaculture pond collected during the management period, and analyzing the abnormality of the salinity fluctuation of the aquaculture pond according to the salinity fluctuation rate; Step S4, analyzing the nutritional status of the culture pond according to the nitrate concentration, phosphate concentration and silicate concentration collected during the management period; Step S5, managing the water flow velocity of the breeding pond for the next breeding cycle according to the activity state of the sea grapes, the abnormality of the salinity fluctuation of the breeding pond, the nutrient state of the breeding pond, the breeding density of the sea grapes and the water depth of the breeding pond during the breeding cycle; Step S6: output the water flow speed management result to the user.

[0015] The beneficial effects of the present invention are as follows: by collecting key parameters such as pH value, dissolved oxygen, ammonia nitrogen concentration, light intensity, salinity, water temperature, water flow rate, etc. of the breeding pond in real time, combined with water quality analysis, salinity analysis and nutrition monitoring modules, the growth environment of sea grapes can be monitored comprehensively and in real time. The water quality analysis module quantifies water quality changes and detects water quality abnormalities in a timely manner by constructing an activity index; the salinity analysis module ensures the stability of the salinity environment by calculating the salinity fluctuation rate; the nutrition monitoring module ensures that the nutritional status of the breeding pond is appropriate by analyzing the concentrations of nitrates, phosphates and silicates. The breeding management module adjusts the water flow rate, density and water depth according to the above analysis results to ensure that the sea grapes grow in the best environment. The present invention can significantly improve the breeding efficiency and yield of sea grapes, reduce growth problems caused by environmental fluctuations, and has broad application prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of 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.

[0017] Figure 1 Schematic diagram of the structure of the sea grape cultivation monitoring system of this embodiment.

[0018] Figure 2 Schematic diagram of the structure of the water quality analysis module of this embodiment.

[0019] Figure 3 Schematic diagram of the structure of the nutrition monitoring module of this embodiment.

[0020] Figure 4 This is a structural diagram of the breeding management module of this embodiment.

[0021] Figure 5 Schematic diagram of the process of the sea grape cultivation monitoring method of this embodiment. DETAILED DESCRIPTION

[0022] In order to more clearly illustrate the present invention, the present invention is further described below in conjunction with preferred embodiments and accompanying drawings. Similar components in the accompanying drawings are represented by the same reference numerals. It should be understood by those skilled in the art that the content specifically described below is illustrative rather than restrictive, and should not be used to limit the scope of protection of the present invention.

[0023] It should be noted that, although the terms first, second, third, etc. may be used to describe in the embodiments of the present application, these descriptions should not be limited to these terms. These terms are only used to distinguish the descriptions. For example, without departing from the scope of the embodiments of the present application, the first may also be referred to as the second, and similarly, the second may also be referred to as the first.

[0024] See also Figure 1 As shown, it is a schematic diagram of the structure of the sea grape cultivation monitoring system of this embodiment, and the system includes: The data acquisition module is used to collect the breeding pond data and the sea grape breeding density, wherein the breeding pond data includes the pH value of the breeding pond, the dissolved oxygen of the breeding pond, the ammonia nitrogen concentration of the breeding pond, the salinity of the breeding pond, the water depth of the breeding pond, the nitrate concentration, the phosphate concentration, the silicate concentration and the water flow velocity of the breeding pond, and the sea grape breeding density is the density of seedling placement; in this embodiment, no specific limitation is made on the collection method of the breeding pond data and the sea grape breeding density, and those skilled in the art can freely set it, as long as the collection requirements of the breeding pond data and the sea grape breeding density are met, wherein the breeding pond data can be collected by various intelligent sensors, and the sea grape breeding density can be obtained by interaction.

[0025] Please continue reading Figure 1 As shown, the system also includes: A water quality analysis module is connected to the data acquisition module, and is used to construct an activity index according to the pH value, dissolved oxygen and ammonia nitrogen concentration of the aquaculture pool collected during the monitoring period, and analyze the activity state of the sea grape according to the activity index; in this embodiment, the setting of the monitoring period is not specifically limited, and those skilled in the art can set it freely, as long as the setting requirements of the monitoring period are met, wherein the monitoring period can be set to 5 minutes, 10 minutes, etc.

[0026] See also Figure 2 As shown, the water quality analysis module includes: An activity index construction unit is used to construct a pH offset factor py according to the pH value of the aquaculture pond collected during the monitoring period, and set py=|pH value of the aquaculture pond-YpH| / α1, where YpH is a preset pH threshold and α1 is a first preset reference threshold; The activity index construction unit constructs a dissolved oxygen offset factor ry according to the dissolved oxygen a0 of the aquaculture pond collected during the monitoring period, and sets ry=|a0-α2| / α2, where α2 is a second preset reference threshold; The activity index construction unit constructs an ammonia nitrogen offset factor ay according to the ammonia nitrogen concentration n0 of the aquaculture pond collected during the monitoring period, and sets ay=n0×e T / α3, α3 is the third preset benchmark threshold, T is the preset proportional coefficient, and e is the natural logarithm; the activity index construction unit quantifies the water quality changes in the breeding pond by constructing pH offset factor, dissolved oxygen offset factor and ammonia nitrogen offset factor, helps to judge the activity state of sea grapes, and promptly discovers water quality abnormalities.

[0027] It can be understood that, in this embodiment, the setting of the preset pH threshold and each preset reference threshold is not specifically limited, and those skilled in the art can set it freely, as long as the setting requirements of the preset pH threshold and each preset reference threshold are met. Among them, the optimal value of YpH is 8, the optimal value of α1 is 1, the optimal value of α2 is 6 mg / L, and the optimal value of α3 is 0.5 mg / L.

[0028] It is understandable that in this embodiment, the preset pH threshold and each preset reference threshold are not Please continue reading Figure 2 As shown, the water quality analysis module also includes: An activity state analysis unit connected to the activity index construction unit, the activity state analysis unit is used to construct an activity index HX according to a pH offset factor py, a dissolved oxygen offset factor ry and an ammonia nitrogen offset factor ay, and set HX=w1×py+w2×ry+w3×ay, w1 is a pH weight, w2 is a dissolved oxygen weight, w3 is an ammonia nitrogen weight, and w1+w2+w3=1; The activity state analysis unit analyzes the activity state of the sea grape according to the activity index HX and the preset activity index HX0. If HX≤HX0, the activity state analysis unit determines that the activity state of the sea grape is normal. Otherwise, the activity state analysis unit determines that the activity state of the sea grape is abnormal and issues a water quality optimization warning to the user. The activity state analysis unit determines the activity state of the sea grape according to the activity index, and issues a warning if it is abnormal, so as to help the breeder take timely measures to optimize the water quality and avoid affecting the growth of the sea grape. At the same time, it provides feedback on the water quality state for the breeding management module to help adjust management measures such as the water flow rate.

[0029] It can be understood that the present embodiment does not specifically limit the setting of each weight and preset activity index, and those skilled in the art can freely set them as long as the setting requirements of each weight and preset activity index are met, among which the optimal value of w1 is 0.3, the optimal value of w2 is 0.4, the optimal value of w3 is 0.3, and the optimal value of HX0 is 0.36.

[0030] Please continue reading Figure 1 As shown, the system also includes: The salinity analysis module is used to calculate the salinity fluctuation rate BD of the aquaculture pond according to the salinity of the aquaculture pond collected during the management period. The settings are: The salinity analysis module analyzes the abnormality of salinity fluctuation in the aquaculture pool according to the salinity fluctuation rate BD. If BD≤b0, the salinity analysis module determines that the salinity fluctuation in the aquaculture pool in the current management period is normal. Otherwise, the salinity analysis module determines that the salinity fluctuation in the aquaculture pool in the current management period is abnormal. Wherein, b0 is the preset abnormal coefficient, si is the salinity data of the ith aquaculture pond collected during the management period, I is the total amount of salinity data of the aquaculture pond collected during the management period, sp is the average salinity of the aquaculture pond collected during the management period, The salinity analysis module determines the fluctuation of salinity in the breeding pond by calculating the salinity fluctuation rate, detects salinity anomalies in time, ensures that sea grapes grow in a suitable salinity environment, and avoids growth problems caused by salinity fluctuations. At the same time, it provides feedback on salinity fluctuations for the breeding management module to help adjust management measures such as water flow rate.

[0031] It can be understood that the present embodiment does not specifically limit the setting of the management period, and those skilled in the art can freely set it as long as the setting requirements of the management period are met, wherein the management period can be set to 2 hours.

[0032] It can be understood that the present embodiment does not specifically limit the setting of the preset abnormal coefficient, and those skilled in the art can freely set it as long as the setting requirements of the preset abnormal coefficient are met, wherein the best value of b0 is 0.1.

[0033] Please continue reading Figure 1 As shown, the system also includes: A nutrition monitoring module is connected to the data acquisition module, and is used to analyze the nutrition status of the culture pond according to the nitrate concentration, phosphate concentration and silicate concentration collected during the management cycle.

[0034] See also Figure 3 As shown, the nutrition monitoring module includes: A nutrition analysis unit is used to construct a first nutrition abnormality coefficient according to the nitrate concentration c1 and the phosphate concentration c2 collected during the management period. If c1 / c2≤E1, the nutrition analysis unit sets the first nutrition abnormality coefficient to DY1, and sets DY1=0. If c1 / c2>E1, the nutrition analysis unit sets the first nutrition coefficient to DY2, and sets DY2=lg[2×(c1 / c2-E1)+1] / lg3. The nutrition analysis unit is also used to construct a second nutrition abnormality coefficient according to the silicate concentration c3 collected during the management period. If c3 / c0≤E2, the nutrition analysis unit sets the second nutrition abnormality coefficient to SD1, setting SD1=0; if c3 / c0>E2, the nutrition analysis unit sets the second nutrition coefficient to SD2, setting SD2=(c3 / c0-E2) / U; Among them, E1 is the first preset abnormal ratio, E2 is the second preset abnormal ratio, c0 is the maximum soluble silicate concentration in the breeding pond, and U is the preset dissolution threshold; the nutritional analysis unit quantifies the concentration changes of nitrate, phosphate and silicate in the breeding pond by constructing the first and second nutritional abnormality coefficients to help determine the nutritional status of the breeding pond.

[0035] Specifically, the maximum soluble silicate concentration in the aquaculture pond described in this embodiment can be obtained through interaction.

[0036] It can be understood that, in this embodiment, there is no specific limitation on the setting of each preset abnormal ratio and the preset dissolution threshold, and those skilled in the art can set them freely, as long as the setting requirements of each preset abnormal ratio and the preset dissolution threshold are met. Among them, the optimal value of E1 is 12, the optimal value of E2 is 1.2, and the optimal value of U is 0.8.

[0037] Please continue reading Figure 3 As shown, the nutrition monitoring module also includes: A nutrition status analysis unit is connected to the nutrition analysis unit, and the nutrition status analysis unit analyzes the nutrition status of the culture pond according to the construction results of the first nutrition abnormality coefficient and the second nutrition abnormality coefficient, wherein: If r1×the first nutritional abnormality coefficient+r2×the second nutritional abnormality coefficient≤K, the nutritional status analysis unit determines that the nutritional status of the aquaculture pond in the current management period is normal; otherwise, the nutritional status analysis unit determines that the nutritional status of the aquaculture pond in the current management period is abnormal; Among them, r1 is the first weight, r2 is the second weight, r1+r2=1, and K is the preset nutritional status index; the nutritional status analysis unit determines the nutritional status of the breeding pond according to the nutritional abnormality coefficient, and issues an early warning if it is abnormal, helping the breeder to adjust the nutritional supply in time to ensure that the sea grapes obtain sufficient nutrition. At the same time, it provides nutritional status feedback to the breeding management module to help adjust management measures such as water flow speed.

[0038] It can be understood that in this embodiment, no specific limitation is made on the setting of each weight and the preset nutritional status index, and those skilled in the art can set them freely as long as the setting requirements of the preset nutritional status index are met. Among them, the optimal value of r1 is 0.4, the optimal value of r2 is 0.6, and the optimal value of K is 0.3.

[0039] Please continue reading Figure 1 As shown, the system also includes: A breeding management module is connected to the water quality analysis module, the salinity analysis module and the nutrition monitoring module. The breeding management module is used to manage the water flow rate of the breeding pond in the next breeding cycle according to the activity state of the sea grapes, the abnormality of the salinity fluctuation of the breeding pond, the nutrition state of the breeding pond, the breeding density of the sea grapes and the water depth of the breeding pond during the breeding cycle. In this embodiment, no specific limitation is made to the setting of the breeding management module, and those skilled in the art can freely set it as long as the setting requirements of the breeding cycle are met, wherein the breeding cycle can be set to 7 days.

[0040] See also Figure 4 As shown, the breeding management module includes: The water flow management unit is used to analyze the state of the aquaculture pond according to the analysis results of the activity state of the sea grapes during the aquaculture cycle, the analysis results of the abnormality of the salinity fluctuation of the aquaculture pond, and the analysis results of the nutrient state of the aquaculture pond, and manage the water flow speed of the aquaculture pond in the next aquaculture cycle according to the state of the aquaculture pond, wherein: If G1×zt0 / zt1-G2×yb0 / P+G3×yy0 / P≤u0, the water flow management unit determines that the state of the breeding pond in the current breeding cycle is normal, and sets the water flow speed of the breeding pond in the next breeding cycle to V1, setting V1=v0; If G1×zt0 / zt1-G2×yb0 / P+G3×yy0 / P>u0, the water flow management unit determines that the state of the breeding pond in the current breeding cycle is abnormal, and sets the water flow velocity of the breeding pond in the next breeding cycle to V2, setting V2=v0+v1×(G1×zt0 / zt1-G2×yb0 / P+G3×yy0 / P-u0); Among them, zt0 is the number of monitoring cycles for water quality optimization warning to users during the breeding cycle, zt1 is the number of monitoring cycles during the breeding cycle, yb0 is the number of monitoring cycles for abnormal salinity fluctuations in the breeding pool during the breeding cycle, P is the number of management cycles during the breeding cycle, yy0 is the number of management cycles for abnormal nutrient status during the breeding cycle, G1 is the water quality weight, G2 is the salinity weight, G3 is the nutrient weight, G1+G2+G3=1, v0 is the water flow velocity of the breeding pool in the current breeding cycle, v1 is the preset adjustment speed, and u0 is the preset state threshold; the water flow management unit adjusts the water flow velocity of the next breeding cycle according to the analysis results of the activity state, salinity fluctuation and nutrient status of the sea grape, to ensure that the water flow velocity of the breeding pool is appropriate and promote the healthy growth of the sea grape.

[0041] It can be understood that in this embodiment, no specific limitation is made on the setting of each weight, preset adjustment speed and preset state threshold. The optimal value of G1 is 0.4, the optimal value of G2 is 0.3, the optimal value of G3 is 0.3, the optimal value of v1 is 0.3×v1, and the optimal value of u0 is 0.15.

[0042] Please continue reading Figure 4 As shown, the breeding management module also includes: A density analysis unit is connected to the water flow management unit, and is used to analyze the abnormality of sea grape cultivation density according to the collected sea grape cultivation density m0 and the preset density m1, wherein: If m0≤m1, the density analysis unit determines that the sea grape cultivation density is normal, otherwise, the density analysis unit determines that the sea grape cultivation density is abnormal; The density analysis unit processes the analysis process of the culture pond state when the sea grape culture density is abnormal, and sets the preset adjustment speed after processing to v2, setting v2=v1×{1+exp[3×(m0-m1) / (m0+m1)-3]}; the density analysis unit determines whether the sea grape culture density is abnormal according to the sea grape culture density, and if it is abnormal, adjusts the water flow speed to avoid sea grape growth problems caused by excessively high density, ensures that the water flow speed of the culture pond is appropriate, and promotes the healthy growth of sea grapes.

[0043] It can be understood that the setting of the preset density is not specifically limited in this embodiment, and those skilled in the art can freely set it as long as the setting requirements of the preset density are met, wherein the optimal value of m1 is 2kg / m².

[0044] Please continue reading Figure 4 As shown, the breeding management module also includes: A water depth analysis unit is connected to the density analysis unit, and is used to analyze the abnormality of the water depth of the breeding pond according to the collected water depth ss0 of the breeding pond and the preset water depth ss1, wherein: If ss0≤ss1, the water depth analysis unit determines that the water depth of the breeding pond is normal, otherwise, the water depth analysis unit determines that the water depth of the breeding pond is abnormal; The water depth analysis unit processes the analysis process of the abnormality of the sea grape culture density when the water depth of the culture pond is abnormal, and sets the processed preset density to m2, and sets m2=m1×exp[-η×(ss0-ss1) / (ss0+ss1)], where η is a preset correction coefficient; the water depth analysis unit determines whether it is abnormal based on the water depth of the culture pond, and if it is abnormal, adjusts the culture density of the sea grape to ensure that the sea grape grows in a suitable water depth environment, so as to ensure that the water flow speed of the culture pond is suitable and promote the healthy growth of the sea grape.

[0045] It can be understood that the present embodiment does not specifically limit the setting of the preset water depth and the preset correction coefficient, and those skilled in the art can freely set them as long as the setting requirements of the preset water depth and the preset correction coefficient are met, among which the optimal value of ss1 is 1.5m, and the optimal value of η is 0.46.

[0046] Please continue reading Figure 1 As shown, the system also includes: An output module is connected to the breeding management module and is used to output the management result of the water flow speed to the user.

[0047] See also Figure 5 As shown, the sea grape cultivation monitoring method comprises: Step S1, collecting breeding pond data and sea grape breeding density; Step S2, constructing an activity index according to the pH value, dissolved oxygen and ammonia nitrogen concentration of the aquaculture pond collected during the monitoring period, and analyzing the activity state of the sea grape according to the activity index; Step S3, calculating the salinity fluctuation rate of the aquaculture pond according to the salinity of the aquaculture pond collected during the management period, and analyzing the abnormality of the salinity fluctuation of the aquaculture pond according to the salinity fluctuation rate; Step S4, analyzing the nutritional status of the culture pond according to the nitrate concentration, phosphate concentration and silicate concentration collected during the management period; Step S5, managing the water flow velocity of the breeding pond for the next breeding cycle according to the activity state of the sea grapes, the abnormality of the salinity fluctuation of the breeding pond, the nutrient state of the breeding pond, the breeding density of the sea grapes and the water depth of the breeding pond during the breeding cycle; Step S6: output the water flow speed management result to the user.

[0048] Specifically, the present invention is applicable to large-scale sea grape farms, especially in scenarios where precise control of the breeding environment is required. For example, in large-scale aquaculture bases, farmers can use this system to monitor the water quality, salinity and nutritional status of the breeding pond in real time, and promptly discover and solve environmental abnormalities to ensure the healthy growth of sea grapes.

[0049] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not limitations on the embodiments of the present invention. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is impossible to list all the embodiments here. All obvious changes or modifications derived from the technical solution of the present invention are still within the protection scope of the present invention.

Claims

1. A sea grape cultivation monitoring system, characterized in that: include: Data collection module, used to collect data on aquaculture ponds and sea grape aquaculture density; The water quality analysis module is used to construct an activity index based on the pH value, dissolved oxygen and ammonia nitrogen concentration of the aquaculture pool collected during the monitoring period, and analyze the activity status of sea grapes based on the activity index; Nutrition monitoring module, used to analyze the nutrient status of the aquaculture pond based on the nitrate concentration, phosphate concentration and silicate concentration collected during the management cycle; The nutrition monitoring module includes a nutrition analysis unit and a nutrition status analysis unit, wherein the nutrition analysis unit is used to construct a first nutrition abnormality coefficient and a second nutrition abnormality coefficient according to the nitrate concentration, phosphate concentration and silicate concentration collected during the management period, and the nutrition status analysis unit analyzes the nutrition status of the aquaculture pond according to the construction results of each nutrition abnormality coefficient; The aquaculture management module is used to manage the water flow velocity of the aquaculture pond in the next aquaculture cycle according to the activity status of the sea grapes, abnormal salinity fluctuations in the aquaculture pond, the nutritional status of the aquaculture pond, the sea grape aquaculture density and the water depth of the aquaculture pond.

2. The sea grape cultivation monitoring system according to claim 1, characterized in that: It also includes a salinity analysis module, which is used to calculate the salinity fluctuation rate BD of the breeding pond according to the salinity of the breeding pond collected during the management period, and analyze the abnormality of the salinity fluctuation of the breeding pond according to the salinity fluctuation rate BD. If BD≤b0, the salinity analysis module determines that the salinity fluctuation of the breeding pond in the current management period is normal. Otherwise, the salinity analysis module determines that the salinity fluctuation of the breeding pond in the current management period is abnormal.

3. The sea grape cultivation monitoring system according to claim 2, characterized in that: The water quality analysis module includes an activity index construction unit, which is used to construct a pH offset factor py according to the pH value of the breeding pond collected during the monitoring period, and set py=|pH value of the breeding pond-YpH| / α1, where YpH is a preset pH threshold and α1 is a first preset reference threshold; The activity index construction unit constructs a dissolved oxygen offset factor ry according to the dissolved oxygen a0 of the aquaculture pond collected during the monitoring period, and sets ry=|a0-α2| / α2, where α2 is a second preset reference threshold; The activity index construction unit constructs an ammonia nitrogen offset factor ay according to the ammonia nitrogen concentration n0 of the aquaculture pond collected during the monitoring period, and sets ay=n0×e T / α3, α3 is the third preset reference threshold, T is the preset proportional coefficient, and e is the natural logarithm.

4. The sea grape cultivation monitoring system according to claim 3, characterized in that: The water quality analysis module also includes an activity state analysis unit, which is used to construct an activity index HX according to a pH offset factor py, a dissolved oxygen offset factor ry, and an ammonia nitrogen offset factor ay; The activity state analysis unit analyzes the activity state of the sea grape according to the activity index HX and the preset activity index HX0. If HX≤HX0, the activity state analysis unit determines that the activity state of the sea grape is normal. Otherwise, the activity state analysis unit determines that the activity state of the sea grape is abnormal and issues a water quality optimization warning to the user.

5. The sea grape cultivation monitoring system according to claim 4, characterized in that: The nutrition analysis unit constructs a first nutrition abnormality coefficient according to the nitrate concentration c1 and the phosphate concentration c2 collected during the management period. If c1 / c2≤E1, the nutrition analysis unit sets the first nutrition abnormality coefficient to DY1, setting DY1=0; if c1 / c2>E1, the nutrition analysis unit sets the first nutrition coefficient to DY2, setting DY2=lg[2×(c1 / c2-E1)+1] / lg3; The nutrition analysis unit is also used to construct a second nutrition abnormality coefficient according to the silicate concentration c3 collected during the management period. If c3 / c0≤E2, the nutrition analysis unit sets the second nutrition abnormality coefficient to SD1, setting SD1=0; if c3 / c0>E2, the nutrition analysis unit sets the second nutrition coefficient to SD2, setting SD2=(c3 / c0-E2) / U; Among them, E1 is the first preset abnormal ratio, E2 is the second preset abnormal ratio, c0 is the maximum soluble silicate concentration in the breeding pond, and U is the preset dissolution threshold.

6. The sea grape cultivation monitoring system according to claim 5, characterized in that: The nutritional status analysis unit analyzes the nutritional status of the culture pond according to the construction results of the first nutritional abnormality coefficient and the second nutritional abnormality coefficient, wherein: If r1×the first nutritional abnormality coefficient+r2×the second nutritional abnormality coefficient≤K, the nutritional status analysis unit determines that the nutritional status of the aquaculture pond in the current management period is normal; otherwise, the nutritional status analysis unit determines that the nutritional status of the aquaculture pond in the current management period is abnormal; Among them, r1 is the first weight, r2 is the second weight, and K is the preset nutritional status index.

7. The sea grape cultivation monitoring system according to claim 6, characterized in that: The aquaculture management module includes a water flow management unit, which is used to analyze the state of the aquaculture pool according to the analysis results of the activity state of the sea grapes in the aquaculture cycle, the analysis results of the abnormality of the salinity fluctuation of the aquaculture pool, and the analysis results of the nutrient state of the aquaculture pool, and manage the water flow speed of the aquaculture pool in the next aquaculture cycle according to the state of the aquaculture pool, wherein: If G1×zt0 / zt1-G2×yb0 / P+G3×yy0 / P≤u0, the water flow management unit determines that the state of the breeding pond in the current breeding cycle is normal, and sets the water flow speed of the breeding pond in the next breeding cycle to V1, setting V1=v0; If G1×zt0 / zt1-G2×yb0 / P+G3×yy0 / P>u0, the water flow management unit determines that the state of the breeding pond in the current breeding cycle is abnormal, and sets the water flow velocity of the breeding pond in the next breeding cycle to V2, setting V2=v0+v1×(G1×zt0 / zt1-G2×yb0 / P+G3×yy0 / P-u0); Among them, zt0 is the number of monitoring cycles for water quality optimization warnings to users during the breeding cycle, zt1 is the number of monitoring cycles during the breeding cycle, yb0 is the number of monitoring cycles for abnormal salinity fluctuations in the breeding pond during the breeding cycle, P is the number of management cycles during the breeding cycle, yy0 is the number of management cycles for abnormal nutritional status during the breeding cycle, G1 is the water quality weight, G2 is the salinity weight, G3 is the nutritional weight, G1+G2+G3=1, v0 is the water flow velocity of the breeding pond in the current breeding cycle, v1 is the preset adjustment speed, and u0 is the preset status threshold.

8. The sea grape cultivation monitoring system according to claim 7, characterized in that: The aquaculture management module further includes a density analysis unit, which is used to analyze the abnormality of sea grape aquaculture density according to the collected sea grape aquaculture density m0 and the preset density m1, wherein: If m0≤m1, the density analysis unit determines that the sea grape cultivation density is normal, otherwise, the density analysis unit determines that the sea grape cultivation density is abnormal; The density analysis unit processes the analysis process of the culture pond state when the sea grape culture density is abnormal, and sets the processed preset adjustment speed to v2.

9. The sea grape cultivation monitoring system according to claim 8, characterized in that: The aquaculture management module further includes a water depth analysis unit, which is used to analyze the abnormality of the water depth of the aquaculture pond according to the collected water depth ss0 of the aquaculture pond and the preset water depth ss1, wherein: If ss0≤ss1, the water depth analysis unit determines that the water depth of the breeding pond is normal, otherwise, the water depth analysis unit determines that the water depth of the breeding pond is abnormal; The water depth analysis unit processes the analysis process of the abnormality of the sea grape culture density when the water depth of the culture pond is abnormal, and sets the processed preset density to m2.

10. A sea grape cultivation monitoring method, applied to the sea grape cultivation monitoring system according to any one of claims 1 to 9, characterized in that: include: Step S1, collecting breeding pond data and sea grape breeding density; Step S2, constructing an activity index according to the pH value, dissolved oxygen and ammonia nitrogen concentration of the aquaculture pond collected during the monitoring period, and analyzing the activity state of the sea grape according to the activity index; Step S3, calculating the salinity fluctuation rate of the aquaculture pond according to the salinity of the aquaculture pond collected during the management period, and analyzing the abnormality of the salinity fluctuation of the aquaculture pond according to the salinity fluctuation rate; Step S4, analyzing the nutritional status of the culture pond according to the nitrate concentration, phosphate concentration and silicate concentration collected during the management period; Step S5, managing the water flow velocity of the breeding pond for the next breeding cycle according to the activity state of the sea grapes, the abnormality of the salinity fluctuation of the breeding pond, the nutrient state of the breeding pond, the breeding density of the sea grapes and the water depth of the breeding pond during the breeding cycle; Step S6: output the water flow speed management result to the user.

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