Intelligent aquaculture environment monitoring method and system

Abstract

The embodiment of the invention provides an intelligent aquaculture environment monitoring method and system, and the method comprises the steps: determining a corresponding monitoring instrument based on equipment needed for aquaculture, and determining at least one first candidate interest point of the corresponding monitoring instrument; determining a first monitoring proportion based on the at least one first candidate interest point; obtaining feature information of the breeding environment; obtaining at least one second candidate interest point based on the feature information of the breeding environment; determining a second monitoring proportion based on the at least one first candidate interest point and the at least one second candidate interest point; and determining the target interest point based on the first monitoring proportion and the second monitoring proportion.

Description

Technical Field

[0001] This application relates to the technical field of environmental monitoring, and particularly to an intelligent aquaculture environment monitoring method and system. Background Art

[0002] When it comes to traditional aquaculture environment monitoring, a sensor network installed at fixed positions is usually adopted. These sensors are usually installed at predetermined positions, such as the edge of a fishpond or specific positions of equipment. However, since the sensors are usually installed at predetermined positions, this method of monitoring the aquaculture environment is not comprehensive and timely enough. For example, if the layout of the equipment in the farm changes or the shape of the aquaculture area changes, the sensors may not be able to effectively monitor the key areas. Moreover, traditional sensor networks often lack the ability to quickly respond to changes in the aquaculture environment. This means that in the face of emergencies or changes in the terrain of the aquaculture site, the monitoring system may not be able to adjust in time to maintain the effectiveness and accuracy of monitoring.

[0003] Therefore, it is desirable to provide an intelligent aquaculture environment monitoring method and system, by determining the positions of the monitoring instruments, and / or increasing the positions of the monitoring instruments, to increase the comprehensiveness, flexibility and adaptability of the monitoring system, and to realize the intelligence of aquaculture research. Summary of the Invention

[0004] This application provides an intelligent aquaculture environment monitoring method, characterized in that the method includes: determining corresponding monitoring instruments based on the equipment required for aquaculture, and determining at least one first candidate point of interest for the corresponding monitoring instruments, where the at least one first candidate point of interest refers to the conventional installation positions of the monitoring instruments; determining a first monitoring ratio based on the at least one first candidate point of interest; obtaining characteristic information of the aquaculture environment; obtaining at least one second candidate point of interest based on the characteristic information of the aquaculture environment; determining a second monitoring ratio based on the at least one first candidate point of interest and the at least one second candidate point of interest; and determining a target point of interest based on the first monitoring ratio and the second monitoring ratio.

[0005] The present application provides an intelligent aquaculture environment monitoring system, which includes: a first point of interest module, configured to determine corresponding monitoring instruments based on the equipment required for aquaculture, and determine at least one first candidate point of interest for the corresponding monitoring instruments, where the at least one first candidate point of interest refers to the conventional installation positions of the monitoring instruments; a first ratio determination module, configured to determine a first monitoring ratio based on the at least one first candidate point of interest; a characteristic determination module, configured to obtain the characteristic information of the aquaculture environment; a second point of interest module, configured to obtain at least one second candidate point of interest based on the characteristic information of the aquaculture environment; a second ratio determination module, configured to determine a second monitoring ratio based on the at least one first candidate point of interest and the at least one second candidate point of interest; a target determination module, configured to determine a target point of interest based on the first monitoring ratio and the second monitoring ratio.

[0006] The present application provides an intelligent aquaculture environment monitoring device, which includes a processor and a memory; the memory is used to store instructions, and is characterized in that when the instructions are executed by the processor, the device implements the intelligent aquaculture environment monitoring method as described in any one of the above.

[0007] The present application provides a computer-readable storage medium, which is characterized in that the storage medium stores computer instructions, and when a computer reads the computer instructions in the storage medium, the computer runs the intelligent aquaculture environment monitoring method as described in any one of the above. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] This specification will further illustrate by way of exemplary embodiments, and these exemplary embodiments will be described in detail through the drawings. These embodiments are not restrictive, and in these embodiments, the same numbers represent the same structures, where:

[0009] Figure 1 is a schematic diagram of the application scenario of the intelligent aquaculture environment monitoring system shown in some embodiments of this specification;

[0010] Figure 2 is a schematic diagram of the modules of the intelligent aquaculture environment monitoring system shown in some embodiments of this specification;

[0011] Figure 3 is an exemplary flowchart of the intelligent aquaculture environment monitoring method shown in some embodiments of this specification;

[0012] Figure 4 is an exemplary flowchart of the method for adjusting the first candidate point of interest shown in some embodiments of this specification. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0013] To more clearly illustrate the technical solutions of the embodiments of this specification, the following will briefly introduce the accompanying drawings required for the description of the embodiments. Obviously, the accompanying drawings in the following description are only some examples or embodiments of this specification. For those of ordinary skill in the art, without creative efforts, this specification can also be applied to other similar scenarios based on these drawings. Unless obvious from the language context or otherwise stated, the same reference numerals in the figures represent the same structure or operation.

[0014] It should be understood that the "system", "device", "unit" and / or "module" used herein is a way to distinguish different components, elements, parts, portions or assemblies at different levels. However, if other words can achieve the same purpose, the said words can be replaced by other expressions.

[0015] As shown in this specification and the claims, unless the context clearly indicates an exceptional situation, words such as "a", "an", "one" and / or "the" are not specifically singular and may also include the plural. Generally speaking, the terms "comprising" and "including" only indicate the inclusion of the clearly identified steps and elements, and these steps and elements do not constitute an exclusive list. The method or device may also include other steps or elements.

[0016] Flowcharts are used in this specification to illustrate the operations performed by the system according to the embodiments of this specification. It should be understood that the previous or subsequent operations do not necessarily need to be executed precisely in sequence. On the contrary, they can be executed in reverse order or simultaneously. At the same time, other operations can also be added to these processes, or one or several steps can be removed from these processes.

[0017] Figure 1 is a schematic diagram of the application scenario of the intelligent aquaculture environment monitoring system according to some embodiments of this specification. As Figure 1 shown, the scenario 100 involved in the intelligent aquaculture environment monitoring system may include a processor 110, a user terminal 120, a storage device 130, a network 140, and a culture pond 150.

[0018] In some embodiments, the processor 110 can be used to process information and / or data related to the scenario 100. For example, the processor 110 can obtain a network spectrogram based on the data. In some embodiments, the processor 110 can be local or remote. For example, the processor 110 can access the information and / or data stored in the storage device 130 and the user terminal 120 via the network 140. For another example, the processor 110 can be directly connected to the storage device 130 and the user terminal 120 to access the stored information and / or data.

[0019] The user terminal 120 can be a device used by the user. The user terminal 120 can view the operation of the intelligent aquaculture environment monitoring system.

[0020] The storage device 130 can be used to store data and / or instructions related to intelligent aquaculture environment monitoring. In some embodiments, the storage device 130 can store data obtained / acquired from the user terminal 120. In some embodiments, the storage device 130 can store the data and / or instructions used by the processor 110 to execute or use to complete the exemplary methods described in this application. In some embodiments, the storage device 130 can be implemented on a cloud platform.

[0021] In some embodiments, the storage device 130 can be connected to the network 140 to communicate with one or more components of the scenario 100 (e.g., the processor 110, the user terminal 120). One or more components of the scenario 100 can access the data or instructions stored in the storage device 130 via the network 140. In some embodiments, the storage device 130 can be directly connected to or communicate with one or more components of the scenario 100 (e.g., the processor 110, the concentrator 120, the user terminal 120). In some embodiments, the storage device 130 can be a part of the processor 110. In some embodiments, the storage device 130 can be a separate memory. The storage device 140 can store historical data, such as historical work data, user characteristic data, etc. The storage device 140 can also store machine learning models, etc.

[0022] The network 140 can facilitate the exchange of information and / or data. In some embodiments, one or more components of the scenario 100 (e.g., the processor 110, the user terminal 120) can send information and / or data to other components of the scenario 100 via the network 140.

[0023] The aquaculture pond 150 can include at least one aquaculture required device (not shown) and at least one monitoring instrument (not shown).

[0024] Figure 2 is a schematic diagram of the modules of the intelligent aquaculture environment monitoring system shown in some embodiments of this specification.

[0025] As Figure 2 shown, the intelligent aquaculture environment monitoring system 200 can include a first point of interest module 210, a first ratio determination module 220, a characteristic determination module 230, a second point of interest module 240, a second ratio determination module 250, and a target determination module 260.

[0026] The first interest point module 210 is used to determine corresponding monitoring instruments based on the equipment required for breeding, and determine at least one first candidate interest point of the corresponding monitoring instrument, where at least one first candidate interest point refers to the conventional installation position of the monitoring instrument;

[0027] The first ratio determination module 220 is used to determine the first monitoring ratio based on at least one first candidate interest point;

[0028] The characteristic determination module 230 is used to obtain the characteristic information of the breeding environment;

[0029] The second interest point module 240 is used to obtain at least one second candidate interest point based on the characteristic information of the breeding environment;

[0030] The second ratio determination module 250 is used to determine the second monitoring ratio based on at least one first candidate interest point and at least one second candidate interest point;

[0031] The target determination module 260 is used to determine the target interest point based on the first monitoring ratio and the second monitoring ratio.

[0032] In some embodiments, the system further includes an adjustment module for adjusting the first candidate interest point. The adjustment module includes: a spectrogram module for determining a breeding spectrogram based on the characteristic information of the breeding environment and the mutual distance of the equipment required for breeding; a selection module for determining at least one relevant node and at least one relevant edge in the breeding spectrogram based on the equipment of the same type required for breeding; a correlation module for determining a relevant spectrogram based on at least one relevant node and at least one relevant edge; a displacement module for determining at least one displacement data through a displacement model based on the relevant spectrogram; a fourth interest point module for determining at least one fourth candidate interest point based on at least one displacement data and at least one first candidate interest point; a third ratio determination module for determining at least one third monitoring ratio and at least one fourth monitoring ratio based on at least one fourth candidate interest point and at least one second candidate interest point; a first difference determination module for determining at least one first difference based on at least one third monitoring ratio and the corresponding first monitoring ratio, determining at least one second difference based on at least one fourth monitoring ratio and the corresponding second monitoring ratio, and taking the fourth candidate interest point corresponding to the candidate displacement data with the maximum sum of the first difference and the second difference as the adjusted target interest point.

[0033] In some embodiments, the system further includes a backup module for adding at least one backup point of interest. The backup module includes: an environment module for determining a similar historical environment based on the aquaculture environment; a historical module for obtaining a historically relevant spectrogram based on the similar historical environment; a prediction module for predicting the number and location of additions of at least one backup point of interest through a prediction spectrogram model based on the historically relevant spectrogram and the currently relevant spectrogram; a backup module for determining a backup spectrogram based on the currently relevant spectrogram, the number and location of additions of at least one backup point of interest; a fourth ratio determination module for determining at least one fifth monitoring ratio and at least one sixth monitoring ratio based on the backup spectrogram; a second interpolation module for determining at least one third difference based on at least one fifth monitoring ratio and the corresponding first monitoring ratio, determining at least one fourth difference based on at least one fifth monitoring ratio and the corresponding second monitoring ratio, and taking the backup point of interest corresponding to the maximum value of the sum of the third difference and the fourth difference as the added point of interest.

[0034] In some embodiments, the spectrogram module is used to determine an aquaculture spectrogram, which is a spectrogram of the aquaculture environment. The aquaculture spectrogram includes nodes and edges; the nodes include aquaculture required equipment, a first candidate point of interest, and a second candidate point of interest. The node information corresponding to the aquaculture required equipment includes type, working parameters, model specifications, and location information. The node information of the first candidate point of interest includes data obtained by monitoring instruments and location information. The node information of the second candidate point of interest includes location information and type of special locations in the aquaculture environment; the first type of edge is the connection line in the aquaculture required equipment, and the edge information of the first type of edge includes the distance between the aquaculture required equipment, etc. The second type of edge is the connection line between the aquaculture required equipment and the first candidate point of interest, and the edge information of the second type of edge is the distance between the monitoring instruments located between the first candidate points of interest and the aquaculture required equipment. The third type of edge is determined as a water channel, and the edge information of the third type of edge includes the water flow direction.

[0035] It should be understood that the above modules are only simple examples of the relevant modules mainly involved in this specification, and do not represent the display of all relevant contents of this application. There are still some modules and units not shown in this module diagram, and they will not be exemplified one by one here. And the above modules and units do not exist completely independently, and there may also be cross-involvements.

[0036] Figure 3 is an exemplary flowchart of an intelligent aquaculture environment monitoring method shown according to some embodiments of this specification. Process 300 can be executed by a processor. As Figure 3 shown, process 300 may include the following steps:

[0037] Step 310, determining corresponding monitoring instruments based on the aquaculture required equipment, and determining at least one first candidate point of interest for the corresponding monitoring instruments.

[0038] The equipment required for aquaculture can refer to the equipment used for aquaculture during the aquaculture process. According to the usage, the equipment required for aquaculture can include types such as oxygenation equipment, heating equipment, feed feeding equipment, and filtration equipment.

[0039] The monitoring instrument can refer to an instrument for monitoring the aquaculture environment and / or the status of the equipment required for aquaculture. The monitoring instrument can correspond to the type of the equipment required for aquaculture. For example, the monitoring instruments for oxygenation equipment can include dissolved oxygen sensors, oxygen flow meters, etc., the monitoring instruments for heating equipment can include temperature sensors, etc., the monitoring instruments for feed feeding equipment can include feed feeding volume meters, water quality monitors, etc., and the monitoring instruments for filtration equipment can include filtration rate monitors, pollutant monitors, etc.

[0040] The first candidate point of interest can refer to the conventional installation position based on the monitoring instrument. The point of interest can be represented by three-dimensional coordinates in the aquaculture pond. Different types of the equipment required for aquaculture have different first candidate points of interest for the corresponding monitoring instruments. The number of first candidate points of interest for the monitoring instruments of the same type of the equipment required for aquaculture can be at least one. The first candidate point of interest can be determined based on artificial experience or historical data.

[0041] For example, for oxygenation equipment, the dissolved oxygen sensor can be installed at different depths in the aquaculture pond to monitor the dissolved oxygen level in the water; for heating equipment, the temperature sensor can be installed at different depths or in the water flow path (the inlet and outlet of the water flow) in the aquaculture pond to ensure comprehensive monitoring of the water temperature change; for feed feeding equipment, the feed feeding volume meter can be installed on the feed feeding pipeline, for example, at the starting end or key branch of the pipeline, to ensure accurate measurement and control of the feeding volume; the water quality monitor can be installed near the feed feeding port of the aquaculture pond to monitor the water quality change after feeding the feed; for filtration equipment, the filtration rate monitor can be installed at the inlet and outlet or in the water flow path of the filtration equipment to monitor the filtration efficiency and the water quality treatment effect, and the pollutant monitor can be installed at the outlet of the filtration equipment to continuously monitor the water quality change after treatment.

[0042] Step 320, determine the first monitoring ratio based on at least one first candidate point of interest.

[0043] In some embodiments, based on at least one first candidate point of interest corresponding to each type of monitoring instrument, a first monitoring ratio for the type of monitoring instrument is determined. The first monitoring ratio may be the ratio of the total sum of the first monitoring ranges corresponding to the same type of monitoring instrument to the volume of the aquaculture environment. In some embodiments, for the same type of monitoring instrument, the ratio of the sum of the first monitoring ranges of the monitoring instruments located at the first candidate points of interest to the volume of the aquaculture environment is determined as the first monitoring ratio. The first monitoring range may be the monitoring range determined based on the specifications of the corresponding monitoring instrument. For example, according to the specifications of a water quality monitor, the water quality monitor can monitor the water quality within a spherical range with a radius of one meter centered on the water quality monitor.

[0044] Step 330, obtain the characteristic information of the aquaculture environment.

[0045] The aquaculture environment may refer to the environment of an aquaculture pond. The characteristic information may refer to the characteristic information related to the aquaculture environment. The characteristic information may include types such as water flow information, aquaculture pond information, sediment information, light information, etc. The aquaculture pond information may include the characteristics of the aquaculture pond itself. For example, there are pitted areas at the bottom of the aquaculture pond.

[0046] Step 340, based on the characteristic information of the aquaculture environment, obtain at least one second candidate point of interest.

[0047] The second candidate point of interest may refer to the location that needs to be monitored key points corresponding to the characteristics of the aquaculture environment.

[0048] In some embodiments, the second candidate point of interest may not be included in the first monitoring range of the monitoring instrument located at the first candidate point of interest. For example, low-lying areas and locations with weak water flow. The second candidate point of interest can be obtained based on historical data. For example, by inputting the characteristic information of the aquaculture environment into a point of interest determination model, the output is the second candidate type of point of interest. The point of interest determination model can be a machine learning model, such as a graph neural network model.

[0049] Due to the aquaculture environment, the monitoring instrument cannot fully achieve the purpose of real-time or comprehensive monitoring based on the first candidate point of interest, or the monitoring range of the monitoring instrument is blocked due to the aquaculture environment. Therefore, it is necessary to further determine the second candidate point of interest.

[0050] Step 350, determine a second monitoring ratio based on at least one first candidate point of interest and at least one second candidate point of interest.

[0051] For monitoring instruments of the same type, based on the overlapping part between the sum of the first monitoring ranges and the second candidate points of interest, determine the third candidate points of interest from at least one first candidate point of interest. For example, within the spherical monitoring range with the first candidate point of interest A where the water quality monitor is located as the center of the sphere and a radius of one meter, if there is a second candidate point of interest B, then take the first candidate point of interest A as the third candidate point of interest.

[0052] In some embodiments, for monitoring instruments of the same type, determine the second monitoring ratio based on the proportion of the sum of the first monitoring ranges of the monitoring instruments located at the third candidate points of interest in the volume of the aquaculture environment.

[0053] Step 360, determine the target points of interest based on the first monitoring ratio and the second monitoring ratio.

[0054] In some embodiments, when the first monitoring ratio is higher than the first ratio threshold and the second monitoring ratio is higher than the second ratio threshold, determine the corresponding first candidate point of interest as the target point of interest.

[0055] The first ratio threshold is higher than the second ratio threshold, and the first ratio threshold and the second ratio threshold can be determined manually.

[0056] Through the above steps, the installation positions of the monitoring instruments of each type can be sequentially determined as the target points of interest.

[0057] Through some embodiments of this specification, determining the target points of interest not only takes into account the installation positions that need to be considered for the equipment required for each type of aquaculture, but also emphasizes the areas that need to be key monitored and managed in the aquaculture environment, improving the monitoring efficiency and comprehensiveness, and helping to improve the aquaculture efficiency and timely detect potential threats in the aquaculture environment.

[0058] In some embodiments, the characteristics of the aquaculture environment and the relative positions of the equipment required for aquaculture may affect the monitoring effect of the monitoring instrument at the first candidate point of interest. In some embodiments, water flow and low-lying areas at the bottom of the water body affect the monitoring effect of the first candidate point of interest. For example, the distribution of dissolved oxygen in water is greatly affected by water flow. Therefore, the position of the dissolved oxygen sensor needs to consider the water flow dynamics, which will affect the uniformity of water temperature. The installation position of the temperature sensor should consider the water flow path to ensure comprehensive monitoring of water temperature changes. The efficiency and operating status of the filtration equipment are closely related to the water flow rate. The monitoring points are usually set at the water inlet and outlet or key water flow paths. For another example, pollutants or waste may accumulate in low-lying areas, and additional monitoring equipment is required to ensure timely detection of water quality problems. Due to terrain problems in low-lying areas, the monitoring range of the monitoring instrument in the low-lying area is reduced compared to flat ground. For another example, the position of the oxygenation equipment may introduce heat into the water body, affecting the accuracy of the temperature sensor measurement. The position of the oxygenation equipment affects the flow and mixing in the water body, thus affecting the uniform distribution of feed in the pond and further affecting the accuracy of the feed dispenser. Therefore, the first candidate point of interest is not the optimal monitoring point, and the position of the first candidate point of interest needs to be adjusted.

[0059] Figure 4 is an exemplary flowchart of a method for adjusting the first candidate point of interest according to some embodiments of the present specification. Process 400 can be executed by a processor. As Figure 4 shown, process 400 may include the following steps:

[0060] Step 410, determining an aquaculture spectrum based on the characteristic information of the aquaculture environment and the mutual distances of the equipment required for aquaculture.

[0061] The aquaculture spectrum may be a spectrum of the aquaculture environment. The aquaculture spectrum includes nodes and edges. The nodes include the equipment required for aquaculture, the first candidate point of interest, and the second candidate point of interest. The node information corresponding to the equipment required for aquaculture may include type, working parameters, model specifications, and location information. The node information of the first candidate point of interest may include the data obtained by the monitoring instrument and location information. The node information of the second candidate point of interest may include the location information and type of special locations in the aquaculture environment. The first type of edge is the connection line among the equipment required for aquaculture. The edge information of the first type of edge includes the distance between the equipment required for aquaculture, etc. The second type of edge may be the connection line between the equipment required for aquaculture and the first candidate point of interest. The edge information of the second type of edge may be the distance between the monitoring instrument located between the first candidate points of interest and the equipment required for aquaculture. The third type of edge is determined as a water channel. The edge information of the third type of edge includes the water flow direction. In some embodiments, the third type of edge may coincide with the second type of edge or the first type of edge.

[0062] In some embodiments, the aquaculture spectrum may include sub - spectra corresponding to at least one aquaculture pond, and each aquaculture pond can communicate with each other through water channels.

[0063] Step 420: Based on the equipment required for the same type of aquaculture, determine at least one relevant node and at least one relevant edge in the aquaculture spectrum.

[0064] At least one relevant node may include at least one piece of equipment required for the same type of aquaculture, the corresponding at least one monitoring instrument, and other types of equipment required for aquaculture that meet a preset condition with respect to the above - mentioned aquaculture - required equipment. Determine the first - type relevant edges based on at least one monitoring instrument, and determine the second - type relevant edges based on the equipment required for the same type of aquaculture and the third - type relevant edges passing through at least one monitoring instrument.

[0065] In some embodiments, meeting a preset condition with respect to the above - mentioned aquaculture - required equipment may include that the distance from the above - mentioned aquaculture - required equipment is within a first distance threshold. The first distance threshold can be determined manually. For example, based on..., determine other types of aquaculture - required equipment B within the first distance threshold from the oxygen - adding equipment A in the aquaculture spectrum, and determine the monitoring instrument C directly connected to the oxygen - adding equipment in the aquaculture spectrum as relevant nodes. Further, the relevant edges include: the first - type edge between the oxygen - adding equipment A and the monitoring instrument C, and the second relevant edge between the oxygen - adding equipment A and other types of aquaculture - required equipment B.

[0066] Step 440: Determine at least one displacement data based on the relevant spectrum through a displacement model.

[0067] At least one displacement data includes the displacement direction and displacement distance of the first candidate interest point of the monitoring instrument in the relevant node.

[0068] The displacement model can be trained based on the first historical data, and the first historical data may include multiple historical relevant spectra.

[0069] Step 450: Determine at least one fourth candidate interest point based on at least one displacement data and at least one first candidate interest point.

[0070] The fourth candidate interest point may include the adjusted interest point of the first candidate interest point. If the displacement data shows 0, the fourth candidate interest point remains the original first candidate interest point without changing its position.

[0071] Step 460: Determine at least one third monitoring ratio and at least one fourth monitoring ratio based on at least one fourth candidate interest point and at least one second candidate interest point.

[0072] The third monitoring ratio may refer to the ratio of the total sum of the first monitoring ranges of the monitoring instruments located at the fourth candidate interest points to the volume of the aquaculture environment.

[0073] For monitoring instruments of the same type, based on the overlapping part of the sum of the monitoring ranges of the fourth candidate points of interest and the second candidate point of interest, determine the fifth candidate point of interest from at least one fourth candidate point of interest.

[0074] The fourth monitoring ratio may refer to the ratio of the sum of the monitoring ranges of the monitoring instruments located at the fifth candidate point of interest to the volume of the aquaculture environment.

[0075] The third monitoring ratio may be similar to the first monitoring ratio. For the content of the fourth monitoring ratio, reference can be made to the second monitoring ratio. For the detailed content and steps, reference can be made to the content from step 320 to step 350.

[0076] Step 470: Determine at least one first difference based on at least one third monitoring ratio and the corresponding first monitoring ratio, determine at least one second difference based on at least one fourth monitoring ratio and the corresponding second monitoring ratio, and use the fourth candidate point of interest corresponding to the candidate displacement data with the maximum sum of the first difference and the second difference as the adjusted target point of interest.

[0077] Through some embodiments of this specification, by adjusting the positions of the monitoring instruments, the rationality and accuracy of the monitoring instrument layout can be improved, and the monitoring effect and intelligence can be more comprehensively improved.

[0078] In some embodiments, since the third candidate point of interest is determined from the first candidate points of interest, the adjustment method for the first candidate points of interest determined according to process 400 can be applied to the adjustment of the positions of the third candidate points of interest.

[0079] Since the selection of the target point of interest is the area with the smallest coverage, in some cases, considering the need to increase the monitoring coverage area, at least one spare point of interest needs to be added for installing the newly added monitoring instruments to make the monitoring more comprehensive.

[0080] In some embodiments, the following method can be used to add spare points of interest corresponding to the equipment required for the same type of aquaculture: Determine the similar historical environment based on the aquaculture environment, and obtain the historical relevant spectrogram based on the similar historical environment; Based on the historical relevant spectrogram and the current relevant spectrogram, predict the number and positions of at least one spare point of interest to be added through the predicted spectrogram model, and determine the spare spectrogram based on the current relevant spectrogram, the number and positions of at least one spare point of interest to be added. The spare spectrogram may refer to the spectrogram with the spare points of interest added. The predicted spectrogram model may be a machine learning model obtained through training.

[0081] In some embodiments, determine at least one fifth monitoring ratio and at least one sixth monitoring ratio based on the spare spectrogram.

[0082] The fifth monitoring ratio may refer to the ratio of the total monitoring range of the monitoring instruments located at the alternative point of interest and the original first candidate point of interest to the volume of the aquaculture environment.

[0083] For monitoring instruments of the same type, determine a sixth candidate point of interest from at least one alternative point of interest and the original first candidate point of interest based on the overlapping part of the total monitoring range of the alternative point of interest and the original first candidate point of interest and the second candidate point of interest.

[0084] The sixth monitoring ratio may refer to the ratio of the total monitoring range of the monitoring instruments located at the sixth candidate point of interest to the volume of the aquaculture environment.

[0085] The fifth monitoring ratio may be similar to the third monitoring ratio. For the content of the sixth monitoring ratio, reference may be made to the fourth monitoring ratio. For the detailed content and steps, reference may be made to the content from step 320 to step 350.

[0086] Determine at least one third difference based on at least one fifth monitoring ratio and the corresponding first monitoring ratio, determine at least one fourth difference based on at least one fifth monitoring ratio and the corresponding second monitoring ratio, and use the alternative point of interest corresponding to the maximum value of the sum of the third difference and the fourth difference as the added point of interest.

[0087] It should be noted that different embodiments may produce different beneficial effects. In different embodiments, the possible beneficial effects may be any one or several combinations of the above, or any other possible beneficial effects that can be obtained.

[0088] The basic concepts have been described above. Obviously, for those skilled in the art, the above detailed disclosure is only an example and does not constitute a limitation to this specification. Although not explicitly stated here, those skilled in the art may make various modifications, improvements, and corrections to this specification. Such modifications, improvements, and corrections are suggested in this specification, so such modifications, improvements, and corrections still fall within the spirit and scope of the exemplary embodiments of this specification.

[0089] At the same time, this specification uses specific terms to describe the embodiments of this specification. Such as "one embodiment", "an embodiment", and / or "some embodiments" mean a certain feature, structure, or characteristic related to at least one embodiment of this specification. Therefore, it should be emphasized and noted that "an embodiment" or "one embodiment" or "an alternative embodiment" mentioned twice or more at different positions in this specification does not necessarily refer to the same embodiment. In addition, certain features, structures, or characteristics in one or more embodiments of this specification can be appropriately combined.

[0090] In addition, unless clearly stated in the claims, the order of process elements and sequences, the use of numerical and alphabetical characters, or the use of other names in this specification are not used to limit the order of the processes and methods in this specification. Although some currently useful embodiments are discussed through various examples in the above disclosure, it should be understood that such details are for illustrative purposes only. The appended claims are not limited to the disclosed embodiments. On the contrary, the claims are intended to cover all modifications and equivalent combinations that conform to the essence and scope of the embodiments of this specification. For example, although the system components described above can be implemented by hardware devices, they can also be implemented only through software solutions, such as installing the described system on existing servers or mobile devices.

[0091] Similarly, it should be noted that, in order to simplify the presentation of the disclosure in this specification and thus help the understanding of one or more embodiments, in the previous description of the embodiments of this specification, sometimes multiple features are merged into one embodiment, drawing, or description thereof. However, this method of disclosure does not mean that the features required by the subject matter of this specification are more than those mentioned in the claims. In fact, the features of the embodiments are fewer than all the features of the individual embodiments disclosed above.

[0092] In some embodiments, numbers are used to describe components and the quantity of attributes. It should be understood that such numbers used in the description of the embodiments are modified by the modifiers "about", "approximate", or "substantially" in some examples. Unless otherwise stated, "about", "approximate", or "substantially" indicate that the said numbers allow a variation of ±20%. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximate values, and such approximate values may change according to the characteristics required by individual embodiments. In some embodiments, the numerical parameters should consider the specified significant digits and adopt the method of retaining the general number of digits. Although the numerical ranges and parameters used in some embodiments of this specification to confirm the breadth of their scope are approximate values, in specific embodiments, such numerical settings are made as precise as possible within the feasible range.

[0093] For each patent, patent application, patent application publication, and other materials cited in this specification, such as articles, books, specifications, publications, documents, etc., their entire contents are hereby incorporated into this specification as references. Except for the application history documents that are inconsistent with or conflict with the content of this specification, and also except for the documents that limit the broadest scope of the claims of this specification (currently or subsequently appended to this specification). It should be noted that if there are inconsistencies or conflicts between the descriptions, definitions, and / or the use of terms in the supplementary materials of this specification and the content described in this specification, the descriptions, definitions, and / or the use of terms in this specification shall prevail.

[0094] Finally, it should be understood that the embodiments described in this specification are only used to illustrate the principles of the embodiments of this specification. Other variations may also fall within the scope of this specification. Therefore, by way of example and not limitation, alternative configurations of the embodiments of this specification may be regarded as consistent with the teachings of this specification. Accordingly, the embodiments of this specification are not limited to the embodiments explicitly presented and described in this specification.

Claims

1. An intelligent aquaculture environment monitoring method, characterized in that, The method includes: Determining corresponding monitoring instruments based on the equipment required for farming, and determining at least one first candidate point of interest for the corresponding monitoring instruments, where the at least one first candidate point of interest refers to the conventional installation positions of the monitoring instruments; Determining a first monitoring ratio based on the at least one first candidate point of interest; Obtaining the characteristic information of the farming environment; Based on the characteristic information of the farming environment, obtaining at least one second candidate point of interest; Determining a second monitoring ratio based on the at least one first candidate point of interest and the at least one second candidate point of interest; Determining the target point of interest based on the first monitoring ratio and the second monitoring ratio.

2. The method according to claim 1, wherein The method further includes adjusting the first candidate point of interest, and the adjustment method includes: Determining a farming spectrum diagram based on the characteristic information of the farming environment and the mutual distances of the equipment required for farming; Based on the equipment required for farming of the same type, determining at least one relevant node and at least one relevant edge in the farming spectrum diagram; Determining a relevant spectrum diagram based on the at least one relevant node and the at least one relevant edge; Determining at least one displacement data based on the relevant spectrum diagram through a displacement model; Determining at least one fourth candidate point of interest based on the at least one displacement data and the at least one first candidate point of interest; Determining at least one third monitoring ratio and at least one fourth monitoring ratio based on the at least one fourth candidate point of interest and the at least one second candidate point of interest; Determining at least one first difference based on the at least one third monitoring ratio and the corresponding first monitoring ratio, determining at least one second difference based on the at least one fourth monitoring ratio and the corresponding second monitoring ratio, and taking the fourth candidate point of interest corresponding to the candidate displacement data with the maximum sum of the first difference and the second difference as the adjusted target point of interest.

3. The method according to claim 2, characterized in that, The method further includes adding at least one spare point of interest, and adding at least one spare point of interest includes: Determining a similar historical environment based on the farming environment; Obtaining the historical relevant spectrum diagram based on the similar historical environment; Predicting the number and positions of the addition of the at least one spare point of interest based on the historical relevant spectrum diagram and the current relevant spectrum diagram through a prediction spectrum model; Determining a spare spectrum diagram based on the current relevant spectrum diagram, the number and positions of the addition of the at least one spare point of interest; Determining at least one fifth monitoring ratio and at least one sixth monitoring ratio based on the spare spectrum diagram; Determining at least one third difference based on the at least one fifth monitoring ratio and the corresponding first monitoring ratio, determining at least one fourth difference based on the at least one fifth monitoring ratio and the corresponding second monitoring ratio, and taking the spare point of interest corresponding to the value with the maximum sum of the third difference and the fourth difference as the added point of interest.

4. According to the method described in claim 2, characterized in that: The breeding spectrum diagram is a spectrum diagram regarding the aquaculture environment. The breeding spectrum diagram includes nodes and edges. The nodes include the equipment required for breeding, the first candidate point of interest, and the second candidate point of interest. The node information corresponding to the equipment required for breeding includes type, working parameters, model specifications, and location information. The node information of the first candidate point of interest includes the data obtained by monitoring instruments and location information. The node information of the second candidate point of interest includes the location information and type of special locations in the aquaculture environment. The first type of edges are the connections among the equipment required for breeding, and the edge information of the first type of edges includes the distance between the equipment required for breeding, etc. The second type of edges are the connections between the equipment required for breeding and the first candidate point of interest, and the edge information of the second type of edges is the distance between the monitoring instruments located among the first candidate points of interest and the equipment required for breeding. The third type of edges are determined as water channels, and the edge information of the third type of edges includes the water flow direction.

5. An intelligent aquatic aquaculture environment monitoring system, characterized in that, The system includes: A first point-of-interest module, configured to determine corresponding monitoring instruments based on the equipment required for breeding, and determine at least one first candidate point of interest for the corresponding monitoring instruments. The at least one first candidate point of interest refers to the conventional installation positions of the monitoring instruments. A first ratio determination module, configured to determine a first monitoring ratio based on the at least one first candidate point of interest. A characteristic determination module, configured to obtain the characteristic information of the aquaculture environment. A second point-of-interest module, configured to obtain at least one second candidate point of interest based on the characteristic information of the aquaculture environment. A second ratio determination module, configured to determine a second monitoring ratio based on the at least one first candidate point of interest and the at least one second candidate point of interest. A target determination module, configured to determine a target point of interest based on the first monitoring ratio and the second monitoring ratio.

6. The system according to claim 5, characterized in that, The system further includes an adjustment module, configured to adjust the first candidate point of interest. The adjustment module includes: A spectrum diagram module, configured to determine a breeding spectrum diagram based on the characteristic information of the aquaculture environment and the mutual distances of the equipment required for breeding. A selection module, configured to determine at least one relevant node and at least one relevant edge in the breeding spectrum diagram based on the equipment required for breeding of the same type. A relevance module, configured to determine a relevant spectrum diagram based on the at least one relevant node and the at least one relevant edge. A displacement module, configured to determine at least one displacement data through a displacement model based on the relevant spectrum diagram. A fourth point-of-interest module, configured to determine at least one fourth candidate point of interest based on the at least one displacement data and the at least one first candidate point of interest. A third ratio determination module, configured to determine at least one third monitoring ratio and at least one fourth monitoring ratio based on the at least one fourth candidate point of interest and the at least one second candidate point of interest. The first difference determination module is configured to determine at least one first difference based on the at least one third monitoring ratio and the corresponding first monitoring ratio, determine at least one second difference based on the at least one fourth monitoring ratio and the corresponding second monitoring ratio, and use the fourth candidate interest point corresponding to the candidate displacement data with the maximum sum of the first difference and the second difference as the adjusted target interest point.

7. The system according to claim 6, characterized in that, The system further includes a spare module for adding at least one spare interest point. The spare module includes: An environment module for determining a similar historical environment based on the aquaculture environment; A history module for obtaining the historical related spectrogram based on the similar historical environment; A prediction module for predicting the addition quantity and position of the at least one spare interest point based on the historical related spectrogram and the current related spectrogram through a prediction spectrogram model; A spare module for determining a spare spectrogram based on the current related spectrogram, the addition quantity and position of the at least one spare interest point; A fourth ratio determination module for determining at least one fifth monitoring ratio and at least one sixth monitoring ratio based on the spare spectrogram; A second interpolation module for determining at least one third difference based on the at least one fifth monitoring ratio and the corresponding first monitoring ratio, determining at least one fourth difference based on the at least one fifth monitoring ratio and the corresponding second monitoring ratio, and using the spare interest point corresponding to the value with the maximum sum of the third difference and the fourth difference as the added interest point.

8. The system according to claim 6, wherein: The spectrogram module is used to determine an aquaculture spectrogram, which is a spectrogram about the aquaculture environment. The aquaculture spectrogram includes nodes and edges; the nodes include aquaculture required equipment, the first candidate interest point, and the second candidate interest point. The node information corresponding to the aquaculture required equipment includes type, working parameters, model specifications, and location information. The node information of the first candidate interest point includes data obtained by monitoring instruments and location information. The node information of the second candidate interest point includes location information and type of special locations in the aquaculture environment; the first type of edge is the connection line in the aquaculture required equipment, and the edge information of the first type of edge includes the distance between aquaculture required equipment, etc. The second type of edge is the connection line between the aquaculture required equipment and the first candidate interest point, and the edge information of the second type of edge is the distance between the monitoring instrument located between the first candidate interest points and the aquaculture required equipment. The third type of edge is determined as a water channel, and the edge information of the third type of edge includes the water flow direction.

9. An intelligent aquaculture environment monitoring device, the device comprising a processor and a memory; the memory is used for storing instructions, characterized in that, When the instruction is executed by the processor, the device implements the intelligent aquaculture environment monitoring method according to any one of claims 1 to 4.

10. A computer-readable storage medium, characterized in that, The storage medium stores computer instructions. When the computer reads the computer instructions in the storage medium, the computer runs the intelligent aquaculture environment monitoring method according to any one of claims 1 to 4.

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