A method and system for reconstructing tidal zone ecological space

Abstract

The invention provides a method and system for reconstructing the ecological space of a tidal stream, and relates to the technical field of data processing. The method comprises: acquiring geographic information data of the tidal stream; generating a plurality of tidal stream ecological space reconstruction schemes by adopting a distribution mode of mangroves and shellfish culture ponds at intervals; determining the environmental carrying capacity and economic return of various tidal stream ecological space reconstruction schemes through a tidal stream ecological and economic interaction model; determining an optimal tidal stream ecological space reconstruction scheme; according to the optimal tidal stream ecological space reconstruction scheme, removing Spartina alterniflora, planting mangroves, digging shellfish culture ponds, and reconstructing the tidal stream ecological space; arranging Internet of Things sensors in the reconstructed tidal stream ecological space, and obtaining environmental parameters in real time through the sensors; performing health monitoring on the reconstructed tidal stream ecological space through a tidal stream ecological health monitoring model; and managing the reconstructed tidal stream ecological space according to the health monitoring result.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a method and system for reconstructing tidal zone ecological space. Background Art

[0002] The coastal people use the rich tidal zone (mudflat) resources for aquaculture, but most of the tidal zone is occupied by a large number of Spartina alterniflora. The coastal people have set up scattered aquaculture ponds in the Spartina alterniflora bushes to maintain their livelihood. However, the poor ecological environment in the Spartina alterniflora area has seriously affected the quality of their aquaculture.

[0003] Food security is a "major concern of the country". Aquatic products are important agricultural products that can increase the total amount of food and ease the supply pressure of staple food and livestock and poultry products. In recent years, with the development of the economy and society, the demand for marine products among Chinese residents has increased rigidly. As living standards have improved, people's pursuit of aquaculture quality has continued to increase. Therefore, it is an urgent issue to remove Spartina alterniflora, reconstruct its ecological space, and improve the ecological environment of the aquaculture area to achieve ecological aquaculture and improve aquaculture quality.

[0004] Currently, the main method is to restore ecological functions by planting mangroves or salt marsh vegetation in tidal zones, and to carry out eco-friendly aquaculture activities in tidal zones to reduce the impact on the environment through low-density farming and population rotation. However, traditional ecological aquaculture usually lacks coordinated design with vegetation such as mangroves, and cannot fully utilize the water purification function of mangroves. It is easy to over-farm, leading to an imbalance in the ecosystem, and it is difficult to maintain water quality in the long term. Summary of the invention

[0005] In order to solve the technical problems that traditional ecological aquaculture usually lacks coordinated design with vegetation such as mangroves, cannot fully utilize the water purification function of mangroves, is prone to over-cultivation leading to ecosystem imbalance, and water quality is difficult to maintain in the long term, the present invention provides a tidal zone ecological space reconstruction method and system.

[0006] The technical solution provided by the embodiment of the present invention is as follows:

[0007] First aspect:

[0008] An embodiment of the present invention provides a method for reconstructing an ecological space of a tidal zone, comprising:

[0009] S1: Obtain geographic information data of tidal stream zone;

[0010] S2: Based on the geographic information data of the tidal zone, a variety of tidal zone ecological space reconstruction schemes are generated by adopting the intermittent distribution of mangroves and shellfish culture ponds;

[0011] S3: Determine the environmental carrying capacity and economic returns of various tidal zone ecological space reconstruction plans through the tidal zone ecological and economic interaction model;

[0012] S4: Based on the environmental carrying capacity and the economic returns, comprehensively determine the optimal tidal zone ecological space reconstruction plan;

[0013] S5: According to the optimal tidal zone ecological space reconstruction plan, remove Spartina alterniflora, plant mangroves, dig shellfish culture ponds, and reconstruct the tidal zone ecological space;

[0014] S6: IoT sensors are deployed in the reconstructed tidal stream ecological space to obtain environmental parameters in real time;

[0015] S7: According to the environmental parameters, the health monitoring model of the tidal zone ecological health is used to monitor the health of the reconstructed tidal zone ecological space;

[0016] S8: Manage the reconstructed tidal zone ecological space based on health monitoring results.

[0017] Second aspect:

[0018] An embodiment of the present invention provides a tidal zone ecological space reconstruction system, comprising:

[0019] processor;

[0020] A memory having computer-readable instructions stored thereon, wherein when the computer-readable instructions are executed by the processor, the method for reconstructing the tidal zone ecological space as described in the first aspect is implemented.

[0021] The beneficial effects brought about by the technical solution provided by the embodiment of the present invention include at least:

[0022] (1) In the present invention, ecological aquaculture and mangroves are collaboratively designed. Based on the environmental carrying capacity and economic returns, the optimal tidal zone ecological space reconstruction plan is comprehensively determined. According to the optimal tidal zone ecological space reconstruction plan, Spartina alterniflora is removed, mangroves are planted, and shellfish ponds are excavated to reconstruct the tidal zone ecological space and avoid excessive aquaculture leading to an imbalance in the ecosystem. This can not only effectively improve the environmental carrying capacity of the tidal zone, maintain water quality for a long time, strengthen erosive coastal wetlands, and improve the ecological environment, but also achieve sustainable economic benefits.

[0023] (2) In the present invention, environmental parameters are acquired in real time through sensors, and then the ecological health monitoring model is used to dynamically analyze the health status of the ecological space, identify problems in a timely manner and adjust management measures to ensure that the reconstructed ecosystem is stable and healthy, thereby helping to achieve sustainable development of coastal areas and a win-win situation for the ecological economy. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0025] Figure 1 A schematic diagram of a flow chart of a method for reconstructing tidal zone ecological space provided by an embodiment of the present invention;

[0026] Figure 2 A schematic diagram of the structure of a method for reconstructing the ecological space of a tidal stream provided by an embodiment of the present invention;

[0027] Figure 3 A schematic diagram of a tidal zone ecological space reconstruction solution provided by an embodiment of the present invention;

[0028] Figure 4 A schematic structural diagram of a tidal zone ecological space reconstruction system provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0029] The technical solution of the present invention is described below in conjunction with the accompanying drawings.

[0030] In the embodiments of the present invention, words such as "exemplarily" and "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "example" in the present invention should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of the word "example" is intended to present the concept in a specific way. In addition, in the embodiments of the present invention, the meaning expressed by "and / or" can be both, or it can be either of the two.

[0031] In order to make the technical problems, technical solutions and advantages to be solved by the present invention more clear, a detailed description will be given below with reference to the accompanying drawings and specific embodiments.

[0032] Reference Manual Attached Figure 1 , showing a schematic flow chart of a tidal zone ecological space reconstruction method provided in an embodiment of the present invention.

[0033] Reference Manual Attached Figure 2 , showing a structural schematic diagram of a tidal zone ecological space reconstruction method provided by an embodiment of the present invention.

[0034] The embodiment of the present invention provides a method for reconstructing the ecological space of a tidal stream, which can be implemented by a device for reconstructing the ecological space of a tidal stream, and the device for reconstructing the ecological space of a tidal stream can be a terminal or a server. The processing flow of the method for reconstructing the ecological space of a tidal stream can include the following steps:

[0035] S1: Obtain geographic information data of tidal zone.

[0036] Among them, the intertidal zone, also known as the intertidal zone, refers to the area near the coastline that is periodically covered and exposed by seawater during the rise and fall of tides. This area is located between the high tide line and the low tide line, has a unique ecological environment, and has formed rich biodiversity. The intertidal zone plays an important role in ecosystems, environmental protection, and economic development.

[0037] Optionally, the tidal zone geographic information data includes: the spatial size of the tidal zone, the distribution of Spartina alterniflora, soil quality, water quality and biodiversity detection results.

[0038] S2: Based on the geographic information data of the tidal zone, a variety of tidal zone ecological space reconstruction schemes are generated by adopting the intermittent distribution of mangroves and shellfish ponds.

[0039] Reference Manual Attached Figure 3 , showing a schematic diagram of a tidal zone ecological space reconstruction solution provided by an embodiment of the present invention.

[0040] It should be noted that the mangroves distributed at intervals can filter, absorb and precipitate suspended matter and pollutants in the water through their root systems, thus improving the water purification effect. This design allows nutrients in the water to be absorbed by the mangroves, while the clean water in the water flow can better supply the shellfish farming area.

[0041] In a possible implementation, S2 specifically includes sub-steps S201 and S202:

[0042] S201: Determine the area ratio, spacing and layout of mangroves and shellfish ponds.

[0043] S202: Generate a variety of tidal zone ecological space reconstruction plans based on the area ratio, spacing and layout of mangroves and shellfish ponds.

[0044] Optionally, the layout manner specifically includes: strip distribution, grid distribution, cluster distribution and / or gradient distribution.

[0045] It should be noted that different area ratios, spacing distances and layout methods will generate different tidal zone ecological space reconstruction plans.

[0046] In the present invention, the ecological and economic benefits of mangroves and shellfish culture ponds can be maximized through reasonable area ratio and layout. Reasonable mangrove area ensures water purification and soil protection, while the layout of shellfish culture ponds increases the yield and economic benefits of shellfish.

[0047] S3: Determine the environmental carrying capacity and economic returns of various tidal zone ecological space reconstruction plans through the tidal zone ecological and economic interaction model.

[0048] In a possible implementation, S3 specifically includes sub-steps S301 to S307:

[0049] S301: Construct ecological models to simulate the growth, reproduction and mortality of shellfish and mangrove populations in shellfish culture ponds and predict the impact on the overall ecology.

[0050] S302: Construct an economic model to predict the economic benefits of shellfish farming and mangrove planting.

[0051] S303: Couple the ecological model and the economic model to form an ecological and economic interaction model of the tidal zone.

[0052] It should be noted that the dynamic coupling of the ecological and economic interaction model has achieved real-time interaction between ecology and economy. When ecological conditions change or economic benefits fluctuate, the proportion and layout of mangrove and shellfish farming can be quickly adjusted to meet new needs.

[0053] S304: Through the tidal zone ecological and economic interaction model, calculate the water purification capacity, soil carrying capacity and biodiversity carrying capacity of various tidal zone ecological space reconstruction schemes.

[0054] Optionally, the water purification capacity is specifically:

[0055]

[0056] in, E w Indicates water purification capacity, Δ N Indicates the reduction of nitrogen in water. M N Indicates the nitrogen purification efficiency, A m Indicates the area of ​​mangrove plantations.

[0057] It should be noted that water purification capacity measures the efficiency of tidal ecosystems in removing pollutants (especially nutrients such as nitrogen and phosphorus) from water bodies. This capacity mainly comes from the absorption and filtration of mangroves, salt marsh plants and microorganisms, which reduces harmful substances in the water, improves the overall quality of the water body, and provides a healthy living environment for aquaculture such as shellfish.

[0058] Optionally, the soil bearing capacity is specifically:

[0059]

[0060] in, Es represents the soil bearing capacity, R in Indicates the amount of soil nutrients input by mangroves and other plants, R out Represents the amount of soil nutrients consumed by shellfish farming.

[0061] It should be noted that soil carrying capacity refers to the ability of soil in tidal zones to support the sustainable development of ecosystems, especially shellfish farming and mangrove planting. Mangrove roots inject organic matter and nutrients into the soil through plant decomposition and soil biological activity, while shellfish farming puts pressure on the soil by consuming nutrients in the soil. Soil carrying capacity assesses the balance between these inputs and outputs to ensure that soil nutrients are not over-consumed.

[0062] Optionally, the biodiversity carrying capacity is:

[0063]

[0064] in, E o represents the biodiversity carrying capacity, H represents the Shannon diversity index, p i Indicates i The relative abundance of species, ln represents the natural constant e is the logarithmic function of the base, n Represents the total number of species.

[0065] It should be noted that biodiversity carrying capacity is used to measure the diversity of species and ecological stability in tidal ecosystems. Rich biodiversity can enhance the resilience of ecosystems and make them more adaptable in the face of environmental changes and pressures. Mangroves provide suitable habitats that can attract and support a variety of organisms such as fish, birds, and microorganisms, thereby improving the stability of the ecosystem.

[0066] S305: Calculate the environmental carrying capacity of various tidal zone ecological space reconstruction plans based on water purification capacity, soil carrying capacity and biodiversity carrying capacity:

[0067]

[0068] in, E represents the environmental carrying capacity, E w Indicates water purification capacity. E s represents the soil bearing capacity, E o represents the biodiversity carrying capacity, αw The weight coefficient representing the water purification capacity, α s represents the weight coefficient of soil bearing capacity, α o Represents the weight coefficient of biodiversity carrying capacity.

[0069] Among them, those skilled in the art can set the weight coefficient of water purification capacity according to actual conditions. α w , weight coefficient of soil bearing capacity α s and the weight coefficient of biodiversity carrying capacity α o The present invention does not limit the size.

[0070] In the present invention, the maximum carrying capacity that the tidal zone ecosystem can support can be determined by evaluating water purification, soil carrying capacity and biodiversity carrying capacity. Reasonable evaluation of environmental carrying capacity can prevent over-breeding and excessive occupation of vegetation, avoid excessive consumption of ecological resources, and ensure that the water quality, soil and biodiversity in the tidal zone area are maintained at a healthy level.

[0071] S306: Through the tidal zone ecological and economic interaction model, calculate the shellfish farming income, mangrove ecological service value income and spatial reconstruction cost of various tidal zone ecological space reconstruction schemes.

[0072] Optionally, the shellfish farming benefits are:

[0073]

[0074] in, I s Indicates the benefits of shellfish farming, Q represents the annual production of shellfish, P Indicates the market price of shellfish.

[0075] Optionally, the mangrove ecosystem service value benefits are as follows:

[0076]

[0077] in, I m represents the value of mangrove ecosystem services, I c represents the carbon sequestration value per unit area of ​​mangroves, I w Indicates the water purification value per unit area of ​​mangroves, A m Indicates the area of ​​mangrove plantations.

[0078] Optionally, the spatial reconstruction cost is specifically:

[0079]

[0080] in, C represents the spatial reconstruction cost, C h Indicates the removal of Spartina alterniflora per unit area. A h Indicates the area of ​​Spartina alterniflora removal, C p represents the manufacturing cost per unit area of ​​shellfish ponds, A p represents the area of ​​shellfish culture ponds, C m represents the planting cost per unit area of ​​mangroves, A m Indicates the area of ​​mangrove plantations.

[0081] S307: Calculate the economic returns of various tidal zone ecological space reconstruction plans based on the benefits of shellfish farming, the value of mangrove ecological services, and the cost of spatial reconstruction:

[0082]

[0083] in, I Indicates economic returns, I s Indicates the benefits of shellfish farming, I m represents the value of mangrove ecosystem services, C Represents the spatial reconstruction cost.

[0084] In the present invention, the shellfish farming income, mangrove ecological service value income and spatial reconstruction cost are calculated through the tidal zone ecological and economic interaction model, which helps to quantify the ecological and economic benefits and realize the rational allocation and effective management of resources. The economic return analysis finally obtained provides a scientific basis for the selection of the optimal solution, helps to achieve the sustainable development of the tidal zone, and promotes the win-win development goals of ecology and economy.

[0085] S4: Based on environmental carrying capacity and economic returns, comprehensively determine the optimal tidal zone ecological space reconstruction plan.

[0086] In a possible implementation, S4 specifically includes sub-steps S401 and S402:

[0087] S401: Based on environmental carrying capacity and economic returns, comprehensively calculate the decision-making index of various tidal zone ecological space reconstruction plans:

[0088]

[0089] in, ρ represents the decision index, E represents the environmental carrying capacity, I Indicates economic returns, β The decision coefficient representing the environmental carrying capacity.

[0090] Among them, technicians in this field can set the decision coefficient of environmental carrying capacity according to actual conditions. β The present invention does not limit the size.

[0091] S402: The tidal zone ecological space reconstruction plan with the highest decision-making index is taken as the optimal tidal zone ecological space reconstruction plan.

[0092] In the present invention, by calculating the decision index, the environmental carrying capacity and economic return are integrated into one indicator, effectively balancing the dual goals of ecological protection and economic development. This comprehensive trade-off ensures that the carrying capacity of the ecosystem will not be exceeded while achieving economic benefits. Selecting the optimal solution based on the decision index can ensure that resource allocation is maximized in terms of dual optimization of ecological and economic benefits. This avoids waste of resources and improves the overall efficiency of ecological space reconstruction.

[0093] S5: According to the optimal tidal zone ecological space reconstruction plan, remove Spartina alterniflora, plant mangroves, dig shellfish breeding ponds, and reconstruct the tidal zone ecological space.

[0094] In the present invention, ecological aquaculture and mangroves are collaboratively designed, and the optimal tidal zone ecological space reconstruction plan is comprehensively determined based on environmental carrying capacity and economic returns. According to the optimal tidal zone ecological space reconstruction plan, Spartina alterniflora is removed, mangroves are planted, and shellfish breeding ponds are excavated to reconstruct the tidal zone ecological space and avoid excessive aquaculture that leads to an imbalance in the ecosystem. This can not only effectively improve the environmental carrying capacity of the tidal zone, maintain water quality for a long time, reinforce erosive coastal wetlands, and improve the ecological environment, but also achieve sustainable economic benefits.

[0095] S6: Deploy IoT sensors in the reconstructed tidal stream ecological space to obtain environmental parameters in real time.

[0096] Optionally, the environmental parameters include: soil pH, soil conductivity, soil sulfate content, soil moisture, soil nitrogen content, soil phosphorus content, soil carbon content, soil activity, soil microbial community, tidal water pH, tidal water dissolved oxygen content, tidal water conductivity, tidal water turbidity, tidal water nitrogen content, tidal water microbial community, phytoplankton species, phytoplankton quantity, zooplankton species and zooplankton quantity.

[0097] S7: Based on environmental parameters, the health monitoring model of the tidal zone ecological health is used to monitor the health of the reconstructed tidal zone ecological space.

[0098] In a possible implementation, S7 specifically includes sub-steps S701 and S702:

[0099] S701: The environmental parameters at each moment are combined into environmental sequence data, and input into the tidal zone ecological health monitoring model based on gated cycle units.

[0100] Among them, the Gated Recurrent Unit (GRU) is a neural network unit used to process sequence data, which is widely used in time series analysis, natural language processing, and prediction tasks. GRU controls the transmission of information through "reset gate" and "update gate", so that it can effectively memorize and selectively forget information when processing sequence data.

[0101] S702: Predict the environmental health index at the next moment through the tidal zone ecological health monitoring model based on gated cycle units.

[0102] Specifically, the hidden state of environmental parameters at each moment is extracted through the tidal stream ecological health monitoring model based on gated recurrent units:

[0103]

[0104] in, z t express t Update the output vector of the gate at all times, represents the activation function, W uz represents the weight matrix between the input layer and the update gate, x t express t Input data at time, W hz Indicates that the update gate is t Moment and t -1 self-connection weight matrix between moments, h t-1 Represents a gated recurrent unit t -1 time hidden state, b z represents the bias term of the update gate, r t express t The output vector of the reset gate at time t, W ur represents the weight matrix between the input layer and the reset gate, W hr Indicates that the reset gate ist Moment and t -1 self-connection weight matrix between moments, b r represents the bias term for resetting the gate, c t express t The output vector of the candidate layer at time t, W uc represents the weight matrix between the input layer and the candidate layer, W hc Indicates that the candidate layer is t Moment and t -1 self-connection weight matrix between moments, b c represents the bias term of the candidate layer, represents the element-wise product operation, h t Represents a gated recurrent unit t The hidden state of the moment.

[0105] Next, based on the hidden state, predict the environmental health index at the next moment:

[0106]

[0107] in, H t+1 express t +1 moment environmental health index, Sigmoid represents the Sigmoid activation function, W ho represents the weight matrix between the candidate layer and the output layer, b o Represents the bias term of the output layer.

[0108] In this invention, the hidden state of environmental parameters is extracted and the health index is predicted by the health monitoring system based on the GRU model, which not only effectively improves the accuracy and timeliness of tidal zone ecological health monitoring, but also provides managers with more scientific decision-making support. It realizes dynamic monitoring, timely warning and intelligent management of the ecosystem, and provides strong support for the sustainable development of coastal ecosystems.

[0109] Furthermore, in order to achieve accurate detection of the environmental health index by the tidal zone ecological health monitoring model based on gated cyclic units, it is necessary to optimize the network parameters of the gated cyclic units. The present invention adopts fireflies combined with genetic optimization algorithm to determine the optimal model parameters of the tidal zone ecological health monitoring model based on gated cyclic units.

[0110] Specifically, the accuracy of environmental health index prediction can be used as the fitness function of the firefly combined with genetic optimization algorithm.

[0111] Initialize the population, which contains multiple individuals. Each individual represents a feasible set of model parameters. The model parameter set includes: weight matrices between layers, bias terms, and gating mechanism control parameters, etc.

[0112] An elite selection strategy is adopted to remove the 30% of individuals with the lowest fitness values ​​to form the first population.

[0113] It should be noted that removing the 30% individuals with the lowest fitness values ​​helps retain individuals with higher fitness, while eliminating individuals with poorer fitness to avoid a decline in population quality.

[0114] Perform a crossover operation on the individuals in the first population to form a second population:

[0115]

[0116] in, Y 1. Y 2 represents a new individual, X 1 represents the first parent, X 2 represents the second parent, rand Represents a random number between 0 and 1.

[0117] In the present invention, new individuals with different gene combinations are generated through crossover operations, which enhances the diversity of the population and prevents the population from falling into a local optimal solution. In addition, the crossover combination controlled by random numbers can produce multiple changes in genes to avoid excessive individual similarity.

[0118] Perform mutation operations on individuals in the second population to form a third population:

[0119]

[0120] in, Y 3 represents a new individual, X 3 represents the parent body, X max represents the individual with the largest fitness value, X min represents the individual with the smallest fitness value, rand Represents a random number between 0 and 1.

[0121] It should be noted that the mutation operation is performed on the basis of the second population, so that individuals randomly shift in the solution space, thereby generating new solutions. This random shift not only helps individuals jump out of the current local optimum, but also increases the possibility of exploring new areas.

[0122] The positions of individuals in the third population are updated according to the firefly optimization algorithm to form the fourth population:

[0123]

[0124] in, Indicates i Firefly individuals in t The position at +1 iteration, Indicated in t The adaptive inertia weight coefficient at the iteration, Indicates i Firefly individuals in t The position at the iteration, Indicates j Firefly individuals in t The position at the iteration, β Indicates attraction, α represents the step size factor, r Represents a random number in the range of 0 to 1. Levy Represents the random step length of Levy flight.

[0125] It should be noted that firefly optimization can achieve a balance between global and local search, avoid premature convergence, and increase the chance of escaping local optimality.

[0126] Optionally, the adaptive inertia weight coefficient is specifically:

[0127]

[0128] in, T Indicates the maximum number of iterations.

[0129] In the present invention, the inertia weight gradually decreases with the number of iterations. In the initial iteration, the inertia weight is large, which helps the individual to conduct a large-scale exploration in the solution space and enhance the global search; in the later iteration, the inertia weight gradually decreases, allowing the individual to conduct a refined local search.

[0130] Optionally, the attraction is specifically:

[0131]

[0132] in, β 0 represents the attraction between two fireflies when the distance between them is 0, and exp represents the natural constant e is the exponential function of the base, γ represents the light intensity attraction coefficient, r ij Indicates i Firefly individuals and j The Euclidean distance between individual fireflies.

[0133] It should be noted that the attraction is adjusted according to the distance between individuals. The closer the distance, the greater the attraction, which encourages similar individuals to concentrate on local optimization; when the distance is far, the attraction decays rapidly to avoid mutual interference. This mechanism helps to concentrate local search when individuals are close, and maintain global search capabilities when individuals are far away.

[0134] Optionally, the Levy flight random step size is specified as:

[0135]

[0136] in, u obey The normal distribution of v obey The normal distribution of λ Represents the exponential parameter.

[0137]

[0138] in, is the standard Gamma function.

[0139] It should be noted that the Levy flight random step provides asymmetric jump distances of varying lengths, allowing individuals to perform jumping searches in the solution space, expanding the search range and increasing search efficiency.

[0140] The third and fourth populations are merged to form the fifth population.

[0141] Determine whether the current number of iterations has reached the maximum number of iterations; if so, output the model parameter set representing the firefly individual with the highest fitness in the fifth population; otherwise, return to continue iterating.

[0142] It should be noted that the traditional genetic algorithm performs a global search on the population through operations such as selection, crossover and mutation, which helps to explore multiple possibilities in the solution space and avoid the population from falling into the local optimum. However, a single genetic algorithm may experience premature convergence during the search process, especially when the solution space is complex or the fitness surface is irregular. The present invention combines the firefly optimization algorithm with the genetic algorithm, which can give full play to the global search advantages of the genetic algorithm and the local optimization ability of the firefly algorithm, effectively avoid premature convergence, increase population diversity, and achieve more accurate and efficient model parameter optimization. This combined algorithm enhances the flexibility and adaptability of the optimization process, can achieve better optimization effects in complex problems, and makes it suitable for complex parameter optimization tasks such as tidal zone ecological health monitoring.

[0143] S8: Manage the reconstructed tidal zone ecological space based on health monitoring results.

[0144] In a possible implementation, S8 specifically includes: when the monitored environmental health index is lower than a preset health index, an alarm is issued, and the reconstructed tidal zone ecological space is checked.

[0145] Among them, those skilled in the art can set the size of the preset health index according to actual conditions, and the present invention does not limit it.

[0146] In the present invention, through real-time monitoring by IoT sensors and prediction by health monitoring models, the tidal stream ecological space can be managed comprehensively and dynamically. This method ensures that the ecosystem operates efficiently in a healthy state, while achieving intelligent and refined management.

[0147] The beneficial effects brought about by the technical solution provided by the embodiment of the present invention include at least:

[0148] (1) In the present invention, ecological aquaculture and mangroves are collaboratively designed. Based on the environmental carrying capacity and economic returns, the optimal tidal zone ecological space reconstruction plan is comprehensively determined. According to the optimal tidal zone ecological space reconstruction plan, Spartina alterniflora is removed, mangroves are planted, and shellfish ponds are excavated to reconstruct the tidal zone ecological space and avoid excessive aquaculture leading to an imbalance in the ecosystem. This can not only effectively improve the environmental carrying capacity of the tidal zone, maintain water quality for a long time, strengthen erosive coastal wetlands, and improve the ecological environment, but also achieve sustainable economic benefits.

[0149] (2) In the present invention, environmental parameters are acquired in real time through sensors, and then the ecological health monitoring model is used to dynamically analyze the health status of the ecological space, identify problems in a timely manner and adjust management measures to ensure that the reconstructed ecosystem is stable and healthy, thereby helping to achieve sustainable development of coastal areas and a win-win situation for the ecological economy.

[0150] Reference Manual Attached Figure 4 , showing a structural schematic diagram of a tidal zone ecological space reconstruction system provided by the present invention.

[0151] The present invention also provides a tidal zone ecological space reconstruction system 20, comprising:

[0152] Processor 201;

[0153] The memory 202 stores computer-readable instructions, and when the computer-readable instructions are executed by the processor 201, the method for reconstructing the ecological space of the tidal zone as described in the method embodiment is implemented.

[0154] The tidal zone ecological space reconstruction system 20 provided by the present invention can execute the above-mentioned tidal zone ecological space reconstruction method and achieve the same or similar technical effects. To avoid repetition, the present invention will not go into details.

[0155] The beneficial effects brought about by the technical solution provided by the embodiment of the present invention include at least:

[0156] (1) In the present invention, ecological aquaculture and mangroves are collaboratively designed. Based on the environmental carrying capacity and economic returns, the optimal tidal zone ecological space reconstruction plan is comprehensively determined. According to the optimal tidal zone ecological space reconstruction plan, Spartina alterniflora is removed, mangroves are planted, and shellfish ponds are excavated to reconstruct the tidal zone ecological space and avoid excessive aquaculture leading to an imbalance in the ecosystem. This can not only effectively improve the environmental carrying capacity of the tidal zone, maintain water quality for a long time, strengthen erosive coastal wetlands, and improve the ecological environment, but also achieve sustainable economic benefits.

[0157] (2) In the present invention, environmental parameters are acquired in real time through sensors, and then the ecological health monitoring model is used to dynamically analyze the health status of the ecological space, identify problems in a timely manner and adjust management measures to ensure that the reconstructed ecosystem is stable and healthy, thereby helping to achieve sustainable development of coastal areas and a win-win situation for the ecological economy.

[0158] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

[0159] There are a few points to note:

[0160] (1) The drawings of the embodiments of the present invention only involve structures related to the embodiments of the present invention. Other structures may refer to conventional designs.

[0161] (2) For the sake of clarity, in the drawings used to describe the embodiments of the present invention, the thickness of the film or region is exaggerated or reduced, that is, these drawings are not drawn according to the actual scale. It is understood that when an element such as a film, a region or a substrate is referred to as being "on" or "under" another element, the element may be "directly" "on" or "under" the other element or there may be intermediate elements.

[0162] (3) In the absence of conflict, the embodiments of the present invention and the features therein may be combined with each other to obtain new embodiments.

[0163] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. The protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A method for reconstructing the ecological space of a tidal zone, characterized in that: include: S1: Obtain geographic information data of tidal stream zone; S2: Based on the geographic information data of the tidal zone, a variety of tidal zone ecological space reconstruction schemes are generated by adopting the intermittent distribution of mangroves and shellfish culture ponds; S3: Determine the environmental carrying capacity and economic returns of various tidal zone ecological space reconstruction plans through the tidal zone ecological and economic interaction model; S4: Based on the environmental carrying capacity and the economic returns, comprehensively determine the optimal tidal zone ecological space reconstruction plan; S5: According to the optimal tidal zone ecological space reconstruction plan, remove Spartina alterniflora, plant mangroves, dig shellfish culture ponds, and reconstruct the tidal zone ecological space; S6: IoT sensors are deployed in the reconstructed tidal stream ecological space to obtain environmental parameters in real time; S7: According to the environmental parameters, the health monitoring model of the tidal zone ecological health is used to monitor the health of the reconstructed tidal zone ecological space; S8: Manage the reconstructed tidal zone ecological space based on health monitoring results; Wherein, the S3 specifically includes: S301: Construct an ecological model to simulate the growth, reproduction and mortality of shellfish and mangrove populations in shellfish culture ponds and predict the impact on the overall ecology; S302: Construct an economic model to predict the economic benefits of shellfish farming and mangrove planting; S303: coupling the ecological model and the economic model to form an ecological and economic interaction model of the tidal zone; S304: Calculate the water purification capacity, soil carrying capacity and biodiversity carrying capacity of various tidal zone ecological space reconstruction schemes through the tidal zone ecological and economic interaction model; Among them, the water purification capacity is specifically: in, E w Indicates water purification capacity, Δ N Indicates the reduction of nitrogen in water. M N Indicates the nitrogen purification efficiency, A m represents the area of ​​mangrove plantations; The soil bearing capacity is as follows: in, E s represents the soil bearing capacity, R in Indicates the amount of soil nutrients input by mangroves and other plants, R out represents the amount of soil nutrients consumed by shellfish farming; The biodiversity carrying capacity is as follows: in, E o represents the biodiversity carrying capacity, H represents the Shannon diversity index, p i Indicates i The relative abundance of species, ln represents the natural constant e is the logarithmic function of the base, n represents the total number of species; S305: Calculate the environmental carrying capacity of various tidal zone ecological space reconstruction plans based on water purification capacity, soil carrying capacity and biodiversity carrying capacity: in, E represents the environmental carrying capacity, E w Indicates water purification capacity. E s represents the soil bearing capacity, E o represents the biodiversity carrying capacity, α w The weight coefficient representing the water purification capacity, α s represents the weight coefficient of soil bearing capacity, α o represents the weight coefficient of biodiversity carrying capacity; S306: Calculate the shellfish farming benefits, mangrove ecological service value benefits and spatial reconstruction costs of various tidal zone ecological space reconstruction schemes through the tidal zone ecological and economic interaction model; Among them, the specific benefits of shellfish farming are: in, I s Indicates the benefits of shellfish farming, Q represents the annual production of shellfish, P represents the market price of shellfish; Among them, the specific benefits of mangrove ecological services are: in, I m represents the value of mangrove ecosystem services, I c represents the carbon sequestration value per unit area of ​​mangroves, I w Indicates the water purification value per unit area of ​​mangroves, A m represents the area of ​​mangrove plantations; The spatial reconstruction cost is as follows: in, C represents the spatial reconstruction cost, C h represents the cost of clearing Spartina alterniflora per unit area, A h Indicates the area of ​​Spartina alterniflora removal, C p represents the manufacturing cost per unit area of ​​shellfish ponds, A p represents the area of ​​shellfish culture ponds, C m represents the planting cost per unit area of ​​mangroves, A m represents the area of ​​mangrove plantations; S307: Calculate the economic returns of various tidal zone ecological space reconstruction plans based on the benefits of shellfish farming, the value of mangrove ecological services, and the cost of spatial reconstruction: in, I Indicates economic returns, I s Indicates the benefits of shellfish farming, I m represents the value of mangrove ecosystem services, C represents the spatial reconstruction cost; Wherein, the S4 specifically includes: S401: Based on the environmental carrying capacity and the economic return, comprehensively calculate the decision index of various tidal zone ecological space reconstruction plans: in, ρ represents the decision index, E represents the environmental carrying capacity, I Indicates economic returns, β The decision coefficient representing the environmental carrying capacity; S402: The tidal stream ecological space reconstruction scheme with the highest decision-making index is taken as the optimal tidal stream ecological space reconstruction scheme; The S7 specifically includes: S701: The environmental parameters at each moment are combined into environmental sequence data, and input into the tidal stream ecological health monitoring model based on gated cycle units; S702: Predict the environmental health index at the next moment through the tidal zone ecological health monitoring model based on gated cycle units; Through the tidal stream ecological health monitoring model based on gated recurrent units, the hidden states of environmental parameters at each moment are extracted: in, z t express t Update the output vector of the gate at all times, σ ( ) represents the activation function, W uz represents the weight matrix between the input layer and the update gate, x t express t Input data at time, W hz Indicates that the update gate is t Moment and t -1 self-connection weight matrix between moments, h t-1 Represents a gated recurrent unit t -1 time hidden state, b z represents the bias term of the update gate, r t express t The output vector of the reset gate at time t, W ur represents the weight matrix between the input layer and the reset gate, W hr Indicates that the reset gate is t Moment and t -1 self-connection weight matrix between moments, b r represents the bias term for resetting the gate, c t express t The output vector of the candidate layer at time t, W uc represents the weight matrix between the input layer and the candidate layer, W hc Indicates that the candidate layer is t Moment and t -1 self-connection weight matrix between moments, b c represents the bias term of the candidate layer, represents the element-wise product operation, h t Represents a gated recurrent unit t The hidden state of the moment; According to the hidden state, predict the environmental health index at the next moment: in, H t+1 express t +1 moment environmental health index, Sigmoid represents the Sigmoid activation function, W ho represents the weight matrix between the candidate layer and the output layer, b o Represents the bias term of the output layer; The firefly combined with genetic optimization algorithm was used to determine the optimal model parameters of the tidal stream ecological health monitoring model based on gated cycle units. The accuracy of environmental health index prediction is used as the fitness function of the firefly combined with genetic optimization algorithm; Initialize the population, which contains multiple individuals. Each individual represents a feasible set of model parameters. The model parameter set includes: weight matrices between layers, bias terms, and gating mechanism control parameters; Adopting an elite selection strategy, removing the 30% of individuals with the lowest fitness values ​​to form the first population; Perform a crossover operation on the individuals in the first population to form a second population: in, Y 1. Y 2 represents a new individual, X 1 represents the first parent, X 2 represents the second parent, rand Represents a random number between 0 and 1; Perform mutation operations on individuals in the second population to form a third population: in, Y 3 represents a new individual, X 3 represents the parent body, X max represents the individual with the largest fitness value, X min represents the individual with the smallest fitness value, rand Represents a random number between 0 and 1; The positions of individuals in the third population are updated according to the firefly optimization algorithm to form the fourth population: in, Indicates i Firefly individuals in t The position at +1 iteration, ω t Indicated in t The adaptive inertia weight coefficient at the iteration, Indicates i Firefly individuals in t The position at the iteration, Indicates j Firefly individuals in t The position at the iteration, β Indicates attraction, α represents the step size factor, r Represents a random number in the range of 0 to 1. Levy represents the random step length of Levy flight; Among them, the adaptive inertia weight coefficient is specifically: in, T Indicates the maximum number of iterations; The attractions are: in, β 0 represents the attraction between two fireflies when the distance between them is 0, and exp represents the natural constant e is the exponential function of the base, γ represents the light intensity attraction coefficient, r ij Indicates i Firefly individuals and j The Euclidean distance between individual fireflies; Among them, the Levy flight random step length is specifically: in, u obey The normal distribution of v obey The normal distribution of λ represents the exponential parameter; in, τ is the standard Gamma function; It should be noted that the Levy flight random step provides asymmetric and varying jump distances, which allows individuals to perform jump searches in the solution space, expand the search range, and increase search efficiency; The third group and the fourth group are combined to form the fifth group; Determine whether the current number of iterations has reached the maximum number of iterations; if so, output the model parameter set representing the firefly individual with the highest fitness in the fifth population; otherwise, return to continue iterating.

2. The method for reconstructing the tidal zone ecological space according to claim 1, characterized in that: The tidal zone geographic information data include: the spatial size of the tidal zone, the distribution of Spartina alterniflora, soil quality, water quality and biodiversity detection results.

3. The method for reconstructing the tidal zone ecological space according to claim 1, characterized in that: The S2 specifically includes: S201: Determine the area ratio, spacing and layout of mangroves and shellfish ponds; S202: Generate a variety of tidal zone ecological space reconstruction plans based on the area ratio, spacing and layout of mangroves and shellfish ponds.

4. The method for reconstructing the tidal zone ecological space according to claim 3, characterized in that: The layout modes specifically include: strip distribution, grid distribution, cluster distribution and / or gradient distribution.

5. The method for reconstructing the tidal zone ecological space according to claim 1, characterized in that: The environmental parameters include: soil pH value, soil conductivity, soil sulfate content, soil moisture, soil nitrogen content, soil phosphorus content, soil carbon content, soil activity, soil microbial community, tidal water pH value, tidal water dissolved oxygen content, tidal water conductivity, tidal water turbidity, tidal water nitrogen content, tidal water microbial community, phytoplankton species, phytoplankton quantity, zooplankton species and zooplankton quantity.

6. The method for reconstructing the tidal zone ecological space according to claim 1, characterized in that: The S8 is specifically: When the monitored environmental health index is lower than the preset health index, an alarm will be issued and the reconstructed tidal zone ecological space will be checked.

7. A tidal zone ecological space reconstruction system, characterized in that: include: processor; A memory having computer-readable instructions stored thereon, wherein when the computer-readable instructions are executed by the processor, the method for reconstructing the tidal zone ecological space as described in any one of claims 1 to 6 is implemented.

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