Water area information digital twin modeling method and system

Abstract

The application relates to the field of water area information twinning and management, and discloses a water area information digital twinning modeling method and system, which is suitable for water breeding management related technologies, a variety of sensing modules are arranged in the water area, the whole water area environment and water breeding objects are monitored, real-time data twinning is carried out, the water area environment is conveniently and efficiently evaluated and zoned, and the water breeding objects are induced to move in the water area according to breeding requirements, so that the water breeding objects can always be in the best aquatic ecological environment, and the safe and healthy growth of the water breeding objects is ensured.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of aquaculture information twin and management, and particularly relates to a water area information digital twin modeling method and system. BACKGROUND

[0002] In aquaculture, various management behaviors in a short period of time can affect the change of water quality in the region. For example, feeding can cause the activity of aquatic products in the local area to increase, and the increase in activity can cause an increase in excretion, suspended mud, and other substances in the water, resulting in a decrease in water quality. At the same time, the residues of the food fed can further cause the quality of the water to decrease, which can affect the health and growth rate of the aquatic products.

[0003] Therefore, in order to ensure the healthy growth of aquatic products, it is necessary to monitor and regulate the water area and water quality. In the existing aquaculture process, in order to facilitate efficient feeding and a series of management, a fixed point method is usually used, that is, feeding and drug feeding are performed at fixed points. Long-term fixed points can cause aquatic populations to be distributed in clusters. Even in a short time interval of feeding, the aquatic clusters will disperse to some extent, but the density is still high. Therefore, even if the existing technology uses water area water circulation and other continuous long-term water quality management methods, the effect is still poor, and the water quality environment cannot be restored to the best state, which can affect the health of the aquatic products and the quality of the aquatic products. SUMMARY

[0004] The present application aims to provide a water area information digital twin modeling method and system to solve the problems raised in the background.

[0005] To achieve the above-mentioned purpose, the present application provides the following technical solutions:

[0006] A water area information digital twin modeling method, comprising:

[0007] Monitoring of water environment data and establishment of an environmental model, monitoring the water environment through a global sensing module pre-set in the water environment, establishing a digital twin model based on the water structure distribution and synchronizing the environmental monitoring data in real time;

[0008] Synchronization of group object monitoring and distribution data, synchronizing the underwater biological distribution data obtained by underwater biological radar monitoring, updating in real time in the digital twin model, and calculating the density of aquatic products in each space in the digital twin model;

[0009] Water environment evaluation and environmental demand matching, evaluating the water quality of the digital twin model to obtain the water quality distribution in the region, the water quality distribution including suspended matter density, dissolved oxygen concentration, and chemical concentration, which are used to represent the adaptive parameters of the water storage environment;

[0010] The water area aquatic product object is induced and managed, the core distribution area is demarcated based on the aquatic product density, if the water quality distribution of the core distribution area reaches the threshold parameter of cultivation, the induced scheduling scheme is generated correspondingly, so as to control and guide the aquatic product to the adjacent high water quality area, and the induced scheduling scheme is realized based on oxygenation and feeding.

[0011] As a further scheme of the present application: in the step of demarcating the core distribution area based on the aquatic product density, if the water quality distribution of the core distribution area reaches the threshold parameter of cultivation, the induced scheduling scheme is generated correspondingly, specifically comprising:

[0012] The spatial distribution of the current aquatic product density is obtained, and the density data is mapped in the plane, a plurality of core distribution areas are divided according to the preset density ladder of the current aquatic product type, and each core distribution area corresponds to a certain aquatic product density range;

[0013] Based on the environmental detection data, the current water quality parameters of the core distribution area are obtained, and the available redundancy difference value of the current water quality parameters and the corresponding cultivation threshold parameter is calculated, and the cultivation threshold parameter is used to represent the highest value of the aquatic product safety range of different water quality parameters;

[0014] Based on the aquatic product density of the core distribution area, the safety environment time length of the available redundancy difference value under a plurality of cultivation demands is calculated, the cultivation demands include feed delivery, drug delivery and additional nutrient delivery, which correspond to different water quality parameter pollution indexes respectively;

[0015] The rated induced scheduling time length is reserved in the safety environment time length, and the next cultivation demand of the current aquatic product is obtained, a continuous demand delivery line is established between the high water quality area and the current core distribution area, so as to generate the induced scheduling scheme, and the delivery time length of the demand delivery line is not higher than the induced scheduling time length.

[0016] As a further scheme of the present application: in the step of generating the induced scheduling scheme correspondingly, the step of selecting the high water quality area is further included, specifically comprising:

[0017] The highest aquatic product density area of the plurality of core distribution areas is set as the water quality supervision area, and the periodic environmental monitoring and water area water quality evaluation are carried out on the water quality supervision area;

[0018] The mosaic area is established based on the boundary range of the core distribution area, and the water quality of the mosaic area is marked according to the water area water quality evaluation, if the water quality evaluation result represents that the water quality has completely recovered to the standard level, the current mosaic area demarcation is cancelled;

[0019] Segmenting adjacent regions of the current mosaic region, if there is an already established mosaic region in the adjacent region, the mosaic region is retained, if not, a new induced candidate region is established by segmentation, the induced candidate region is consistent with the range or area of the current water product in the mosaic region;

[0020] The water quality evaluation results of the adjacent multiple induced candidate regions are sorted, and the optimal high water quality region in the sorting is selected as the induced scheduling region to generate an induced scheduling scheme.

[0021] As a further scheme of the present application: further comprising a vertical space management step:

[0022] Based on the twin digital model, the distribution of different water product categories in the vertical space of the water area is counted to obtain the vertical water area interval of multiple categories of water products;

[0023] Based on the multiple vertical water area intervals, multiple twin supervision models are established, and each twin supervision model is used to realize the environmental population supervision and induced scheduling management of different water product categories.

[0024] As a further scheme of the present application: further comprising a water management step:

[0025] Obtain multiple water treatment schemes of the current water area, and the water environment treatment efficiency corresponding to the water treatment scheme, each water treatment scheme corresponds to treat one or more water quality parameters;

[0026] Obtain the execution point of the multiple water treatment schemes in the water area, and synchronize the position in the twin digital model;

[0027] Through statistical evaluation of the historical water treatment records of the multiple water treatment schemes, the water treatment efficiency of the water treatment scheme in the radiation range of the execution point is obtained, to obtain the treatment efficiency model of the water treatment scheme, and the treatment efficiency model based on the execution point is synchronized in the twin digital model.

[0028] The embodiment of the present application aims to provide a water area information digital twin modeling system, comprising:

[0029] An environment synchronization module is used for monitoring of water area environment data and establishment of an environmental model, water area environment monitoring is performed through a pre-set global sensing module in the water area environment, a twin digital model is established based on water area structure distribution, and environmental monitoring data is synchronized in real time;

[0030] A group synchronization module is used for group object monitoring and synchronization of distribution data, underwater biological distribution data obtained through underwater biological radar monitoring is synchronized, and the underwater biological distribution data is updated in real time in the twin digital model, and the density of water products in each space in the twin digital model is calculated.

[0031] An environment evaluation module is configured to evaluate the water environment and match the environmental demand, evaluate the water quality of the water area based on the twin digital model, and obtain the water quality distribution in the region, which includes the suspended matter density, dissolved oxygen concentration and chemical concentration, and is used to represent the adaptive parameters of the water storage environment.

[0032] An induction simulation module is configured to induce and manage the water production object in the water area, and divide the core distribution area based on the water production density. If the water quality distribution of the core distribution area reaches the breeding threshold parameter, an induction scheduling scheme is generated to control and guide the water production to the adjacent high water quality area, and the induction scheduling scheme is realized based on oxygenation and feeding.

[0033] As a further scheme of the present application, the induction simulation module comprises:

[0034] A density grading unit is configured to obtain the spatial distribution of the current water production density, map the density data in the plane, divide the multi-level core distribution area according to the preset density ladder of the current water production type, and each core distribution area corresponds to a certain water production density range.

[0035] A water quality evaluation unit is configured to obtain the current water quality parameters of the core distribution area based on the environmental detection data, and calculate the available redundancy difference value of the current water quality parameters and the corresponding breeding threshold parameter, which is used to represent the highest value of the water production safety range of different water quality parameters.

[0036] An environment prediction unit is configured to calculate the safe environment time length of the available redundancy difference value under multiple breeding demands based on the water production density of the core distribution area, and the breeding demands include feed delivery, drug delivery and additional nutrient delivery, which correspond to different water quality parameter pollution indexes.

[0037] An induction generation unit is configured to reserve a rated induction scheduling time length within the safe environment time length, obtain the next breeding demand of the current water production, establish a continuous demand delivery line between the high water quality area and the current core distribution area, and generate an induction scheduling scheme, and the delivery time length of the demand delivery line is not higher than the induction scheduling time length.

[0038] As a further scheme of the present application, the induction generation unit specifically comprises:

[0039] A supervision division subunit is configured to set the highest water production density area of the multi-level core distribution area as the water quality supervision area, and periodically monitor the environment and evaluate the water quality of the water area.

[0040] The region subdivision unit is configured to establish a mosaic region based on the boundary range of the core distribution region, and mark the water quality of the mosaic region according to the water quality evaluation result; and if the water quality evaluation result indicates that the water quality has completely recovered to the standard level, the current mosaic region is cancelled.

[0041] The adjacent region partition unit is configured to partition the adjacent region of the current mosaic region, and if there is an established mosaic region in the adjacent region, the mosaic region is retained; if not, a new induced candidate region is partitioned and established, and the induced candidate region is consistent with the range or area of the current mosaic region in which the aquatic product is located.

[0042] The induced selection unit is configured to sort the water quality evaluation results of the adjacent multiple induced candidate regions, and select the optimal high water quality region in the sorting as an induced dispatch region to generate an induced dispatch scheme.

[0043] As a further scheme of the present application, a vertical twin management module is further included, comprising:

[0044] The vertical partition unit is configured to count the distribution of different aquatic product categories in the vertical space of the water area based on the twin digital model, to obtain a vertical water area interval of multiple aquatic product categories.

[0045] The vertical supervision unit is configured to establish multiple twin supervision models based on the multiple vertical water area intervals, and each twin supervision model is configured to realize the environmental population supervision and induced dispatch management of different aquatic product categories.

[0046] As a further scheme of the present application, a water management module is further included, specifically comprising:

[0047] The processing type acquisition unit is configured to acquire multiple water treatment schemes of the current water area, and the water environment treatment efficiency corresponding to the water treatment schemes, and each water treatment scheme corresponds to the treatment of one or more water quality parameters.

[0048] The processing delivery synchronization unit is configured to acquire the execution delivery point of the multiple water treatment schemes in the water area, and perform position synchronization in the twin digital model.

[0049] The processing model establishment unit is configured to statistically evaluate the historical water treatment records of the multiple water treatment schemes, to acquire the water treatment efficiency of the water treatment schemes varying with the distance within the radiation range of the execution delivery point, to obtain the processing efficiency model of the water treatment schemes, and to synchronize the processing efficiency model based on the execution delivery point in the twin digital model.

[0050] Compared with the prior art, the beneficial effects of the present application are: suitable for water breeding management related technology, through the distributed setting of various sensing modules in the water area, the global monitoring of the water environment and aquatic objects is realized, and real-time data twin is carried out, so as to achieve the purpose of convenient supervision and control, and the water storage environment of the water area is evaluated and partitioned intuitively and efficiently, and the aquatic products are induced and transferred in the water area according to the breeding demand, so that the aquatic products can always be in the best aquatic ecological environment, and the safe and healthy growth of the aquatic products is ensured. BRIEF DESCRIPTION OF DRAWINGS

[0051] Figure 1 It is a flowchart of a water area information digital twin modeling method.

[0052] Figure 2 It is a flowchart of a water area information digital twin modeling method high water quality area selection step.

[0053] Figure 3 It is a composition diagram of a water area information digital twin modeling system. DETAILED DESCRIPTION

[0054] In order to make the purpose, technical scheme and advantages of the present application clearer, the present application is further described in detail below in combination with the drawings and examples. It should be understood that the specific examples described herein are only used to explain the present application and do not limit the present application.

[0055] The specific implementation mode of the present application is described in detail below in combination with specific examples.

[0056] As Figure 1 The water area information digital twin modeling method provided by an embodiment of the present application includes the following steps:

[0057] S10, water environment data monitoring and environment model establishment, water environment monitoring is carried out through the global sensing module pre-set in the water environment, a twin digital model is established based on the water structure distribution, and the environment monitoring data is synchronized in real time;

[0058] S20, group object monitoring and distribution data synchronization, synchronizing the underwater biological distribution data obtained by underwater biological radar monitoring, and updating in real time in the twin digital model, and calculating the aquatic density of each space in the twin digital model;

[0059] S30, water environment evaluation and environment demand matching, water quality evaluation of the twin digital model is carried out to obtain the water quality distribution in the region, the water quality distribution includes suspended matter density, dissolved oxygen concentration and chemical concentration, which is used to represent the adaptive parameters of the water storage environment;

[0060] S40, the water area aquatic object induction scheduling management, based on the aquatic density core distribution area, if the core distribution area water quality distribution reaches the threshold parameter of aquaculture, the corresponding induction scheduling scheme is generated to control the guide aquatic to the adjacent high water quality area, the induction scheduling scheme is based on oxygenation, feeding.

[0061] In the embodiment, a water area information digitization twin modeling method is given, which is suitable for water breeding management related technologies. Through the distributed setting of various sensing modules in the water area, the global monitoring of the water environment and aquatic objects is realized, and real-time data twin is carried out to achieve convenient supervision and control purposes. The water storage environment is evaluated and zoned planning intuitively and efficiently, and the aquatic products are induced to transfer in the water area according to the breeding needs, so that the aquatic products can always be in the best aquatic ecological environment, and the safe and healthy growth of the aquatic products is ensured. In the existing aquatic breeding process, in order to facilitate efficient feeding and a series of management, a fixed point method is usually used, that is, feeding and drug feeding are carried out at fixed points. Long-term fixed points will cause the aquatic population to gather and distribute, so that higher efficiency can be obtained to quickly cover all groups during execution. However, if the distribution of aquatic products is relatively dispersed or the position of the aquatic cluster is random, the traditional manual feeding management method cannot quickly determine the best feeding management point. However, the fixed point management method of the prior art has serious problems in water quality. Long-term fixed-point feeding and drug feeding will cause the water quality in the region to deteriorate seriously. Although the aquatic population will disperse to some extent within a certain period of time after feeding is completed, the main distribution density area will not change much. In the short feeding interval time, the water quality in the region cannot be effectively treated and precipitated. For a long time, the water storage environment will deteriorate, which will further increase the probability of aquatic disease and cross infection. The embodiment proposes a variable point feeding management method to effectively control the water quality in the breeding area, so that the aquatic cluster can always be in a relatively safe and healthy water environment, and stable water treatment and water precipitation time are provided for the region with poor water quality.The specific implementation method is: first, by distributing various types of sensing equipment in the water area (including sensor types of various data objects such as vision, temperature and humidity, suspended matter, dissolved oxygen, and specific chemical solubility), the environmental monitoring data in the water area and the group distribution data of aquatic products can be monitored and synchronized in real time, thereby realizing the data synchronization twin of the aquaculture water area, which can quickly judge the distribution of aquatic products and the pollution of the water environment, and conduct safety assessments based on the healthy living environment needs of aquatic products. If the water quality is no longer safe (or the degree of pollution reaches the standards set by the management), the surrounding areas will be judged, and areas with higher water quality will be selected to induce aquatic products. The distribution range of the cluster shifts. Induction methods here can include physical induction (such as using sound signals of a certain frequency) and feeding induction. Through this management method, the entire aquaculture water area will be divided into multiple mosaic intervals. Each mosaic interval represents the concentrated activity range of the aquatic cluster over a period of time. This can achieve block management of the aquaculture water area. For polluted water areas, the priority of subsequent induction is reduced. The time for the aquatic cluster to circulate in the entire water area is provided as the maximum water quality treatment time. This ensures that the water quality is in the best state when it is visited by a high-density aquatic group next time, ensuring the safety of the aquatic living environment.

[0062] As another preferred embodiment of the present invention, the core distribution area is delineated based on the aquatic density. If the water quality distribution in the core distribution area reaches the aquaculture threshold parameter, the step of generating the induced scheduling plan specifically includes:

[0063] Obtain the spatial distribution of the current aquatic density and map the density data in a plane. Divide the density data into multiple core distribution areas according to the preset density steps corresponding to the current aquatic type. Each core distribution area corresponds to a certain aquatic density range.

[0064] Based on environmental monitoring data, the current water quality parameters in the core distribution area are obtained, and the available redundant differences between the current water quality parameters and their corresponding aquaculture threshold parameters are calculated. The aquaculture threshold parameters are used to represent the maximum value of the aquaculture safety range for different water quality parameters.

[0065] Calculating the safe environment duration of the available redundancy difference under multiple aquaculture requirements based on the aquaculture density in the core distribution area, wherein the aquaculture requirements include feed delivery, drug delivery, and additional nutrient delivery, corresponding to different water quality parameter pollution indices;

[0066] The rated induced scheduling time is reserved within the safety environment time, and the next breeding demand of the current aquatic products is obtained, and a continuous demand delivery line is established between the high water quality area and the current core distribution area to generate an induced scheduling plan. The delivery time of the demand delivery line is not longer than the induced scheduling time.

[0067] In this embodiment, the generation step of the induced scheduling scheme is further described, mainly including the demarcation of the core distribution area, the available redundancy of each water quality, the pollution impact of different aquaculture management behaviors, and the establishment of induced scheduling. In the demarcation of the core distribution area, it is determined based on different types of aquatic products, and can be divided into multiple levels to represent different density intervals. If the water area is small and cannot be based on the core distribution area of the entire periphery to induce the scheduling of aquatic products, the core distribution area of several levels around the main density area can be selected as the main range of the scheduling induction, and the entire group is partially induced and shifted. The water environment in the surrounding area with low density is still in a good state, and can continue to be used as the surrounding low-density area after the induced shift, thereby reducing the large demand for the total area of the water area in the repeated aquatic group shift process. The available redundancy of each water quality is also determined based on the environmental requirements of different types of aquatic products. Under the density of the aquatic group, the pollution of various excretions and the like to the water environment can be quantified in unit time increments, so that the available redundancy can be accurately obtained. When different aquaculture management operations are performed, the impact of the unit time increment in the range will change (additional increments of additional factors and indirect changes in unit time increments caused by changes in the activity of aquatic objects), so historical data records need to be evaluated to determine these factors. After determining these factors, the water quality available duration in the current core distribution area can be accurately determined to plan and determine the direction and execution mode of the induced scheduling in advance, so as to timely manage the aquatic products.

[0068] As shown in Figure 2 As another preferred embodiment of the present application, the step of generating an induced scheduling scheme includes a step of selecting a high water quality area, specifically comprising:

[0069] S51, setting the highest aquatic density area of the multi-level core distribution area as a water quality supervision area, and periodically monitoring the environment and evaluating the water quality of the water area in the water quality supervision area;

[0070] S52, establishing a mosaic area based on the boundary range of the core distribution area, and marking the water quality of the mosaic area according to the water quality evaluation. If the water quality evaluation result indicates that the water quality has completely recovered to the standard level, the current mosaic area demarcation is cancelled;

[0071] S53, dividing the adjacent area of the current mosaic area, if there is an established mosaic area in the adjacent area, the mosaic area is retained, if not, a new induced candidate area is established by division, the induced candidate area is consistent with or the same as the range of the current aquatic mosaic area;

[0072] S54, sort the water quality evaluation results of the adjacent multiple induction candidate areas, and select the optimal high water quality area in the sorting as the induction scheduling area to generate the induction scheduling scheme.

[0073] In this embodiment, the selection of the high water quality area in the induction scheduling scheme is further described. This process can be simply understood as a mosaic management area of the water area in the plane region. The size of the mosaic block is determined according to the size of the plane space occupied by the water product distribution, so that the current mosaic area can be radiated to the surrounding to split the entire water area into multiple sub-areas (i.e., multiple mosaic areas), so that the water quality environment of the adjacent mosaic area can be evaluated, and the high water quality area is selected as the target area for induction. In this process, there may be multiple adjacent mosaic areas. At this time, the water quality area in the next adjacent range of the multiple mosaic areas is determined, and the next adjacent high water quality area is selected as the induction target area. The advantage of this is that it can further move away and avoid the previously left water quality to be optimized area, and prevent the induction scheduling management process from circulating in the local of the entire water area.

[0074] As another preferred embodiment of the present application, it further includes a vertical space management step:

[0075] Based on the twin digital model, the distribution of different water product categories in the vertical space of the water area is counted to obtain multiple vertical water area intervals of different water product categories;

[0076] Based on the multiple vertical water area intervals, multiple twin supervision models are established respectively, and each twin supervision model is used for realizing the environmental population supervision and induction scheduling management of different water product categories.

[0077] In actual aquaculture, different water product types have different space occupancy of the water area, that is, the distribution of biological communities in the vertical direction of the ecological circle is different, so that different water products can be simultaneously cultured at different depths in the water area. Therefore, different vertical space layers need to be independently supervised and controlled during the supervision and control process by the twin digital model. Therefore, in this embodiment, the vertical water space is segmented by the cultured water product type, so as to distinguish different twin supervision models and realize the synchronous water area information management of multiple object type water products.

[0078] As another preferred embodiment of the present application, it further includes a water management step:

[0079] Obtain multiple water treatment schemes of the current water area and water environment treatment efficiency corresponding to the water treatment schemes, and each water treatment scheme corresponds to treatment of one or more water quality parameters.

[0080] acquire execution release points of a plurality of water treatment schemes in a water area, and perform position synchronization in the digital twin model;

[0081] statistically evaluate historical water treatment records of the plurality of water treatment schemes, acquire water treatment efficiency of the water treatment schemes within a radiation range of the execution release points varying with distance, to acquire a treatment efficiency model of the water treatment schemes, and synchronize the treatment efficiency model based on the execution release points in the digital twin model.

[0082] In the embodiment, a water management step is supplemented, that is, a process of establishing and implementing a digital twin model for water quality optimization management in a water area. To perform water quality management, first, a pollution type that needs to be treated in the water area is determined through a sensing device, and then a treatment scheme that needs to be performed is determined. Because the position of a treatment device is determined in the process of water treatment, and the pollution may be diffusely distributed, it is further necessary to determine the diffusion influence characteristics of the treatment effect (that is, a corresponding treatment efficiency model, which represents the treatment efficiency of the pollution in different spatial ranges of the treatment position) when the corresponding treatment position is treated, so that the strength and duration of the treatment that needs to be performed can be determined according to the pollution distribution model and the treatment efficiency model.

[0083] As shown in Figure 3 The present application also provides a water area information digital twin modeling system, which comprises:

[0084] An environment synchronization module 100 is used for monitoring of water area environment data and establishment of an environment model. The water area environment is monitored through a global sensing module pre-set in the water area environment. A digital twin model is established based on the structure distribution of the water area, and the environment monitoring data is synchronized in real time.

[0085] A group synchronization module 200 is used for monitoring of group objects and synchronization of distribution data. The distribution data of underwater organisms obtained through underwater organism radar monitoring is synchronized, and the digital twin model is updated in real time. The density of aquatic products in each space in the digital twin model is calculated.

[0086] An environment evaluation module 300 is used for water area environment evaluation and environment demand matching. The digital twin model is evaluated for water quality of the water area, to obtain the water quality distribution in the region. The water quality distribution includes the density of suspended solids, the concentration of dissolved oxygen, and the concentration of chemicals, which are used to represent the adaptive parameters of the water storage environment.

[0087] The induction simulation module 400 is used for induction scheduling management of aquatic objects in a water area, and a core distribution area is determined based on an aquatic density. If a water quality distribution of the core distribution area reaches a breeding threshold parameter, an induction scheduling scheme is generated to control and guide the aquatic objects to an adjacent high water quality area, and the induction scheduling scheme is implemented based on oxygenation and feeding.

[0088] As another preferred embodiment of the present application, the induction simulation module 400 comprises:

[0089] A density grading unit is configured to obtain a spatial distribution of a current aquatic density, map the density data in a plane, and divide a plurality of core distribution areas according to a preset density ladder corresponding to a current aquatic type, each of the core distribution areas corresponding to a certain aquatic density range.

[0090] A water quality evaluation unit is configured to obtain a plurality of current water quality parameters of the core distribution area based on environmental detection data, and calculate available redundancy difference values of the current water quality parameters and corresponding breeding threshold parameters, the breeding threshold parameters being used to represent a highest value of an aquatic safety range of different water quality parameters.

[0091] An environmental prediction unit is configured to calculate a safe environmental time length of the available redundancy difference values under a plurality of breeding demands based on the aquatic density of the core distribution area, the breeding demands including feeding, drug delivery, and additional nutrient delivery, and corresponding to different water quality parameter pollution indexes.

[0092] An induction generation unit is configured to reserve a rated induction scheduling time length within the safe environmental time length, obtain a next breeding demand of the current aquatic objects, establish a continuous demand delivery route between the high water quality area and the current core distribution area, and generate an induction scheduling scheme, a delivery time length of the demand delivery route being not higher than the induction scheduling time length.

[0093] As another preferred embodiment of the present application, the induction generation unit specifically comprises:

[0094] A supervision demarcation sub-unit is configured to set a highest aquatic density area of the plurality of core distribution areas as a water quality supervision area, and periodically perform environmental monitoring and water area water quality evaluation on the water quality supervision area.

[0095] A region subdivision sub-unit is configured to establish a mosaic region based on a boundary range of the core distribution area, mark the mosaic region according to the water area water quality evaluation, and cancel the current mosaic region demarcation if the water quality evaluation result indicates that the water quality has completely recovered to a standard level.

[0096] A neighbor partition subunit is configured to partition a neighboring region of the current mosaic region, and if there is an already established mosaic region in the neighboring region, the mosaic region is retained, and if not, a new induced candidate region is partitioned and established, and the induced candidate region is consistent with the range or area of the current water product in the mosaic region.

[0097] An induced selection subunit is configured to sort the water quality evaluation results of the plurality of induced candidate regions, and select the optimal high water quality region as an induced scheduling region to generate an induced scheduling scheme.

[0098] As another preferred embodiment of the present application, a vertical twin management module is further included, comprising:

[0099] A vertical partition unit is configured to count the distribution of different water product categories in the vertical space of the water area based on the twin digital model to obtain a plurality of vertical water area intervals of the water product categories.

[0100] A vertical supervision unit is configured to establish a plurality of twin supervision models based on the plurality of vertical water area intervals, and each twin supervision model is configured to implement environmental population supervision and induced scheduling management of different water product categories.

[0101] As another preferred embodiment of the present application, a water management module is further included, specifically comprising:

[0102] A processing type acquisition unit is configured to acquire a plurality of water treatment schemes of the current water area and water environment treatment efficiency corresponding to the water treatment schemes, and each water treatment scheme corresponds to treatment of one or more water quality parameters.

[0103] A processing delivery synchronization unit is configured to acquire a plurality of water treatment scheme execution delivery points in the water area, and perform position synchronization in the twin digital model.

[0104] A processing model establishment unit is configured to statistically evaluate a plurality of water treatment records to obtain water treatment efficiency of the water treatment scheme within a radiation range of the execution delivery point, and to obtain a processing efficiency model of the water treatment scheme, and to synchronize the processing efficiency model based on the execution delivery point in the twin digital model.

[0105] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The program can be stored in a non-volatile computer readable storage medium, and when the program is executed, the processes of the above-mentioned embodiments of the methods can be included. Any reference to memory, storage, databases, or other media in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration but not limitation, RAM is available in many forms such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct RAMbus dynamic RAM (DRDRAM), and Rambus dynamic RAM (RDRAM), etc.

[0106] Other embodiments of the present disclosure will be apparent to those skilled in the art with the accomplishment of the present disclosure as reflected in the specification and embodiments. The present application is intended to cover any variations, uses, or adaptive changes of the present disclosure following the general principles of the present disclosure and including common knowledge or conventional technical means in the art not disclosed in the present disclosure. The specification and embodiments are only regarded as exemplary, and the true scope and spirit of the present disclosure are indicated by the claims.

[0107] It should be understood that the present disclosure is not limited to the precise structures described above and shown in the drawings, and various modifications and changes can be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A method for digital twin modeling of water body information, characterized in that, The application relates to a water environment monitoring and evaluation method and system. The method comprises the following steps: monitoring and establishing an environment model of water environment data, monitoring the water environment through a global sensing module pre-set in the water environment, establishing a twin digital model based on water structure distribution and synchronizing the environment monitoring data in real time; synchronizing group object monitoring and distribution data, synchronizing underwater biological distribution data obtained through underwater biological radar monitoring, updating the twin digital model in real time, and calculating the aquatic product density of each space in the twin digital model; water environment evaluation and environment demand matching, water quality distribution of the twin digital model is obtained through water quality evaluation of the twin digital model, the water quality distribution comprises suspended matter density, dissolved oxygen concentration and chemical concentration, and is used for representing adaptive parameters of the water environment; water product object induction scheduling management, a core distribution area is demarcated based on the aquatic product density, if the water quality distribution of the core distribution area reaches a breeding threshold parameter, an induction scheduling scheme is generated correspondingly to control and guide the aquatic product to an adjacent high water quality area, and the induction scheduling scheme is realized based on oxygenation and feeding; the step of demarcating the core distribution area based on the aquatic product density and generating the induction scheduling scheme correspondingly if the water quality distribution of the core distribution area reaches the breeding threshold parameter specifically comprises the following steps: spatial distribution of the current aquatic product density is obtained, density data is mapped in a plane, a plurality of core distribution areas are divided according to a preset density ladder of the current aquatic product type, and each core distribution area corresponds to a certain aquatic product density range; each water quality parameter of the core distribution area is obtained based on the environment detection data, and a usable redundancy difference value of each water quality parameter and a corresponding breeding threshold parameter is calculated, the breeding threshold parameter is used for representing the highest value of the aquatic product safety range of different water quality parameters; a safety environment time length of the usable redundancy difference value under a plurality of breeding demands is calculated based on the aquatic product density of the core distribution area, the breeding demands comprise feed feeding, drug feeding and additional nutrient feeding, and correspond to different water quality parameter pollution indexes respectively; 2. The water information digital twin modeling method according to claim 1, wherein, a rated induction scheduling time length is reserved in the safety environment time length, a next breeding demand of the current aquatic product is obtained, a continuous demand feeding line is established between the high water quality area and the current core distribution area, and an induction scheduling scheme is generated, and a feeding time length of the demand feeding line is not higher than the induction scheduling time length. the step of generating the induction scheduling scheme correspondingly further comprises a high water quality area selection step, and specifically comprises the following steps: the highest aquatic product density area of the plurality of core distribution areas is set as a water quality supervision area, and periodic environment monitoring and water quality evaluation are conducted on the water quality supervision area; a mosaic area is established based on the boundary range of the core distribution area, the mosaic area is marked with water quality according to the water quality evaluation, and if the water quality evaluation result represents that the water quality has completely recovered to a standard level, the current mosaic area demarcation is cancelled. Segmenting adjacent regions of the current mosaic region, if there is an established mosaic region in the adjacent region, the mosaic region is retained, if not, a new induced candidate region is established, which is consistent with the range or area of the current water production in the mosaic region; Sort the water quality evaluation results of the adjacent multiple induced candidate regions, and select the optimal high water quality region in the sorting as the induced scheduling region to generate the induced scheduling scheme.

3. The water information digital twin modeling method according to claim 2, wherein, It also includes a vertical space management step: Based on the twin digital model, the distribution of different water production categories in the vertical space of the water area is counted to obtain the vertical water area interval of multiple categories of water production; Based on multiple vertical water area intervals, multiple twin supervision models are established, and each twin supervision model is used for environmental population supervision and induced scheduling management of different water production categories.

4. The water information digital twin modeling method according to claim 1, wherein, It also includes a water management step: Obtain multiple water treatment schemes for the current water area, and the water environment treatment efficiency corresponding to the water treatment scheme, each water treatment scheme corresponds to the treatment of one or more water quality parameters; Obtain the execution point of multiple water treatment schemes in the water area, and synchronize the position in the twin digital model; Through statistical evaluation of the historical water treatment records of multiple water treatment schemes, the water treatment efficiency of the water treatment scheme in the radiation range of the execution point is obtained, and the treatment efficiency model of the water treatment scheme is obtained based on the execution point, which is synchronized in the twin digital model.

5. A water body information digital twin modeling system, characterized in that, It includes: An environment synchronization module for monitoring water environment data and establishing an environmental model. The water environment is monitored by a global sensing module pre-set in the water environment. A twin digital model is established based on the water structure distribution, and the environmental monitoring data is synchronized in real time. A population synchronization module for population object monitoring and distribution data synchronization. The underwater biological distribution data obtained by underwater biological radar monitoring is synchronized and updated in real time in the twin digital model, and the density of aquatic products in each space in the twin digital model is calculated. An environmental evaluation module for water environment evaluation and environmental demand matching. The water quality distribution in the region is obtained by evaluating the water quality of the twin digital model. The water quality distribution includes suspended solids density, dissolved oxygen concentration and chemical concentration, which are used to represent the adaptive parameters of the water production environment. An induced simulation module for induced scheduling management of water production objects in the water area. The core distribution area is divided based on the density of aquatic products. If the water quality distribution of the core distribution area reaches the breeding threshold parameter, an induced scheduling scheme is generated to control and guide the aquatic products to the adjacent high water quality region. The induced scheduling scheme is based on oxygenation and feeding. The induced simulation module includes: A density grading unit for obtaining the spatial distribution of the current aquatic product density and mapping the density data in the plane. According to the preset density ladder corresponding to the current aquatic product type, multiple core distribution areas are divided. Each core distribution area corresponds to a certain range of aquatic product density. The water quality evaluation unit is configured to acquire current water quality parameters of the core distribution area based on the environmental detection data, and calculate available redundancy difference values of the current water quality parameters and corresponding aquaculture threshold parameters, which are used to represent the highest values of the water product safety range of different water quality parameters. The environmental prediction unit is configured to calculate safe environmental time lengths of the available redundancy difference values under multiple aquaculture demands based on the aquatic density of the core distribution area, wherein the aquaculture demands include feed delivery, drug delivery and additional nutrient delivery, and correspond to different water quality parameter pollution indexes, respectively. The induction generation unit is configured to reserve a rated induction scheduling time length within the safe environmental time length, acquire a next aquaculture demand of the current aquatic product, establish a continuous demand delivery route between the high water quality area and the current core distribution area, and generate an induction scheduling scheme, wherein a delivery time length of the demand delivery route is not higher than the induction scheduling time length.

6. The water body information digital twin modeling system of claim 5, wherein, The induction generation unit specifically comprises: The supervision demarcation sub-unit is configured to set the highest aquatic density area of multiple levels of the core distribution area as a water quality supervision area, and perform periodic environmental monitoring and water quality evaluation on the water quality supervision area. The area subdivision sub-unit is configured to establish a mosaic area based on the boundary range of the core distribution area, and perform water quality marking on the mosaic area according to the water quality evaluation, and cancel the current mosaic area demarcation if the water quality evaluation result indicates that the water quality has completely recovered to the standard level. The adjacent area segmentation sub-unit is configured to segment adjacent areas of the current mosaic area, and retain an established mosaic area in the adjacent areas, or segment a new induction candidate area if there is no established mosaic area in the adjacent areas, wherein the induction candidate area is consistent with or identical to a range of the mosaic area in which the current aquatic product is located. The induction selection sub-unit is configured to sort water quality evaluation results of multiple adjacent induction candidate areas, and select an optimal high water quality area in the sorting as an induction scheduling area to generate an induction scheduling scheme.

7. The water body information digital twin modeling system of claim 6, wherein, Further comprising a vertical twin management module, which comprises: The vertical partition unit is configured to count the distribution of different aquatic categories in the vertical space of the water area based on the twin digital model, to obtain vertical water area intervals of multiple aquatic categories. The vertical supervision unit is configured to establish multiple twin supervision models based on the multiple vertical water area intervals, respectively, and each twin supervision model is configured to implement environmental population supervision and induction scheduling management of different aquatic categories.

8. The water information digital twin modeling system of claim 5, wherein, Further comprising a water management module, which specifically comprises: The processing type acquisition unit is configured to acquire multiple water processing schemes of the current water area, and water environment processing efficiencies corresponding to the water processing schemes, wherein each water processing scheme corresponds to processing one or more water quality parameters. The processing delivery synchronization unit is configured to acquire execution delivery points of multiple water processing schemes in the water area, and perform position synchronization in the twin digital model. The processing model establishing unit is configured to perform statistical evaluation on historical water treatment records of a plurality of water treatment schemes, obtain water treatment efficiency of the water treatment schemes varying with distance within a radiation range of the execution delivery point, and obtain a processing efficiency model of the water treatment scheme, and synchronize the processing efficiency model based on the execution delivery point in the twin digital model.

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