Mangrove forest ecological restoration method, system and equipment and storage medium

Abstract

The embodiment of the invention provides a mangrove forest ecological restoration method, system and device and a storage medium, and belongs to the technical field of ecological restoration. The method comprises the following steps: arranging a plurality of insect houses in a mangrove forest restoration area; biological detection data and environment detection data collected by the panoramic monitoring module in each insect house are obtained through the cloud platform; analyzing the collected biological detection data and environment detection data to obtain an ecological restoration evaluation result; and if the ecological restoration evaluation result does not meet the preset condition, adjusting the setting scheme of the insect house according to the ecological restoration evaluation result, and skipping to the step of obtaining biological detection data and environment detection data collected by the panoramic monitoring module in each insect house through the cloud platform. The obtained ecological restoration evaluation result meets the preset condition. According to the embodiment of the invention, ecological restoration effect evaluation and strategy optimization can be realized by dynamically monitoring insect communities and environmental data thereof, and the overall stability of a mangrove forest ecological system is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of ecological restoration, and in particular to a mangrove ecological restoration method, system, device and storage medium. BACKGROUND

[0002] As a special ecological system in the transition zone between land and sea, mangrove wetlands have important ecological functions such as wind and wave reduction, water purification, carbon fixation and storage, and maintenance of biodiversity. However, with the intensification of global climate change, human activities and environmental pollution, mangrove ecosystems are facing unprecedented threats, leading to a sharp decline in area, a decline in biodiversity, and a degradation of ecological functions, posing a serious challenge to the ecological security and sustainable development of the coastal zone.

[0003] Traditional mangrove wetland restoration methods focus on the cultivation and restoration of mangrove plants themselves, using methods such as embryo axis planting and seedling transplantation to rebuild plant communities. Although this approach can quickly increase the coverage of mangrove plants in the short term, it often overlooks the regulatory role of animal communities in mangrove ecosystems. This single-dimensional restoration results in an incomplete ecological chain, making the restored system less stable and difficult to resist external interference, and also difficult to achieve comprehensive restoration of ecological functions. SUMMARY

[0004] The main purpose of the embodiments of the present application is to propose a mangrove ecological restoration method, system, device and storage medium, which can solve the problem of single dimension in the existing mangrove wetland restoration method.

[0005] To achieve the above-mentioned purpose, the first aspect of the embodiments of the present application proposes a mangrove ecological restoration method applied to a mangrove ecological restoration system, the mangrove ecological restoration system comprising a cloud platform and an insect house, the insect house comprising a panoramic monitoring module, the panoramic monitoring module in the insect house being in communication connection with the cloud platform, and the method comprising:

[0006] A plurality of insect houses are arranged in the mangrove restoration area;

[0007] The cloud platform acquires biological detection data and environmental detection data collected by the panoramic monitoring module in each insect house;

[0008] The collected biological detection data and environmental detection data are analyzed to obtain an ecological restoration evaluation result;

[0009] If the ecological restoration evaluation result does not meet the preset condition, the setting scheme of the insect house is adjusted according to the ecological restoration evaluation result, and the step of obtaining the biological detection data and the environmental detection data collected by the panoramic monitoring module in each insect house through the cloud platform is executed until the ecological restoration evaluation result meets the preset condition, wherein the setting scheme includes at least one of the site selection of the insect house, the structure of the insect house, and the material of the insect house.

[0010] In some embodiments, the setting of the plurality of insect houses in the mangrove restoration area includes:

[0011] A plurality of insect houses are set according to different geographical environments and biological activity frequencies of the mangrove restoration area;

[0012] A panoramic monitoring module is arranged in each insect house, the panoramic monitoring module includes a biological monitoring module and an environmental monitoring module, the biological monitoring module is used to collect the biological detection data, and the environmental monitoring module is used to collect the environmental detection data.

[0013] In some embodiments, the biological monitoring module includes a camera and a radar, and the environmental monitoring module includes a temperature sensor, a humidity sensor, a water quality sensor, a soil sensor, and an air sensor;

[0014] The biological detection data and the environmental detection data collected by the panoramic monitoring module in each insect house through the cloud platform include:

[0015] The activity track of the biological is detected and collected by the radar;

[0016] In the case that the biological activity is detected by the radar, the image of the biological activity is collected by the camera;

[0017] The temperature in the insect house is collected by the temperature sensor;

[0018] The humidity in the insect house is collected by the humidity sensor;

[0019] The water quality environmental data of the insect house is collected by the water quality sensor, the water quality environmental data includes the water quality pH value, salinity, and dissolved oxygen concentration in the water quality environment where the insect house is located;

[0020] The soil environmental data of the insect house is collected by the soil sensor, the soil environmental data includes the soil pH value, heavy metal content, and organic matter content in the soil environment where the insect house is located;

[0021] Collecting air environment data in the insect house by the air sensor, the air environment data including carbon dioxide concentration, methane concentration and fine particulate matter concentration in the insect house.

[0022] In some embodiments, the analysis of the collected biological detection data and environmental detection data obtains an ecological restoration evaluation result, including:

[0023] For the biological detection data and environmental detection data collected for each insect house, the biological detection data is analyzed to obtain the species, quantity and activity trajectory of insects attracted by the insect house within a detection period, and the species and predation frequency of birds attracted by the insects; and

[0024] The environmental detection data is analyzed to obtain the temperature change, humidity change, water quality environment data, soil environment data and air environment data of the insect house within the detection period; and

[0025] According to the analysis of the species, quantity and activity trajectory of the insects, and the species and predation frequency of the birds, the ecological restoration effect of the insect house is obtained; and

[0026] According to the analysis of the temperature change, humidity change, water quality environment data, soil environment data, air environment data and ecological restoration effect of the insect house, the influence of each environmental characteristic on the ecological restoration effect of the insect house is obtained, and the environmental characteristics include temperature, humidity, water quality pH, salinity, dissolved oxygen concentration, soil pH, heavy metal content and organic matter content, carbon dioxide concentration, methane concentration and fine particulate matter concentration; and

[0027] According to the ecological restoration effect of the insect house and the influence of the environmental characteristics on the ecological restoration effect of the insect house, an ecological restoration evaluation sub-result is obtained;

[0028] According to the ecological restoration evaluation sub-result of each insect house, the ecological restoration evaluation result is obtained.

[0029] In some embodiments, the analysis according to the species, quantity and activity trajectory of the insects, and the species and predation frequency of the birds obtains the ecological restoration effect of the insect house, including:

[0030] The activity trajectory of the organism is analyzed to obtain the activity range and behavior pattern of insects in the insect house within the detection period;

[0031] According to the species, quantity, activity range and behavior pattern of the insects, the community structure and diversity change of the insects in the insect house are calculated;

[0032] According to the species, quantity of the insects and the species, frequency of predation of the birds, the predation relationship between different species of insects and birds is analyzed, and the influence of the insect house on the food chain is obtained.

[0033] The community structure and diversity change of the insects in the insect house and the influence of the insect house on the food chain are evaluated, and the ecological restoration effect of the insect house is obtained.

[0034] In some embodiments, the analysis according to the temperature change, humidity change, water quality environmental data, soil environmental data, air environmental data of the insect house and the ecological restoration effect obtains the influence of each environmental feature on the ecological restoration effect of the insect house, including:

[0035] Correlation analysis is performed on the plurality of environmental features and the ecological restoration effect, and a correlation model of the plurality of environmental features and the ecological restoration effect is constructed;

[0036] According to the correlation model, the influence of each environmental feature on the ecological restoration effect of the insect house is predicted.

[0037] In some embodiments, the setting scheme of the insect house is adjusted according to the ecological restoration evaluation result, including:

[0038] The ecological restoration evaluation results of a plurality of insect houses are compared, and the top N insect houses in ecological restoration effect are selected as optimization samples, N being a positive integer;

[0039] The site selection of the insect house is adjusted according to a plurality of environmental features corresponding to N optimization samples;

[0040] The structure of the insect house and the material of the insect house are adjusted according to the insect species in the N optimization samples.

[0041] To achieve the above-mentioned purpose, a second aspect of the embodiment of the present application proposes a mangrove ecological restoration system, the mangrove ecological restoration system comprising a cloud platform, an insect house and a processor, the insect house comprising a panoramic monitoring module, the panoramic monitoring module comprising a biological monitoring module and an environmental monitoring module;

[0042] The processor is configured to perform: setting a plurality of insect houses in a mangrove restoration area;

[0043] The cloud platform is configured to obtain biological detection data and environmental detection data collected by the panoramic monitoring module in each insect house;

[0044] The biological detection data and the environmental detection data collected are analyzed to obtain an ecological restoration evaluation result;

[0045] If the ecological restoration evaluation result does not meet the preset condition, the setting scheme of the insect house is adjusted according to the ecological restoration evaluation result, and the step of acquiring the biological detection data and the environmental detection data collected by the panoramic monitoring module in each insect house through the cloud platform is executed until the ecological restoration evaluation result meets the preset condition, wherein the setting scheme includes at least one of the site selection of the insect house, the structure of the insect house, and the material of the insect house.

[0046] To achieve the above-mentioned purpose, the third aspect of the embodiment of the present application proposes a concentration training device based on virtual reality, applied to a mangrove ecological restoration system, the mangrove ecological restoration system comprising a cloud platform and an insect house, the insect house comprising a panoramic monitoring module, the panoramic monitoring module in the insect house being in communication connection with the cloud platform, the device comprising:

[0047] The setting module is configured to set a plurality of insect houses in the mangrove restoration area.

[0048] The acquisition module is configured to acquire biological detection data and environmental detection data collected by the panoramic monitoring module in each insect house through the cloud platform.

[0049] The analysis module is configured to analyze the collected biological detection data and environmental detection data to obtain an ecological restoration evaluation result.

[0050] The adjustment module is configured to adjust the setting scheme of the insect house according to the ecological restoration evaluation result if the ecological restoration evaluation result does not meet the preset condition, and jump to the step of acquiring the biological detection data and the environmental detection data collected by the panoramic monitoring module in each insect house through the cloud platform for execution until the ecological restoration evaluation result meets the preset condition, wherein the setting scheme includes at least one of the site selection of the insect house, the structure of the insect house, and the material of the insect house.

[0051] To achieve the above-mentioned purpose, the fourth aspect of the embodiment of the present application proposes an electronic device, comprising a memory and a processor, the memory storing a computer program, and the processor executing the computer program to realize the method of the first aspect.

[0052] To achieve the above-mentioned purpose, the fifth aspect of the embodiment of the present application proposes a computer readable storage medium, the computer readable storage medium storing a computer program, and the computer program being executed by the processor to realize the method of the first aspect.

[0053] The mangrove ecological restoration method, system, device and storage medium provided by the application, the mangrove ecological restoration system comprises a cloud platform and an insect house, the insect house comprises a panoramic monitoring module, the panoramic monitoring module is in communication connection with the cloud platform, and is used for collecting biological detection data and environmental detection data; a plurality of insect houses are arranged in a mangrove restoration area, and data collected by the panoramic monitoring module in each insect house is acquired through the cloud platform. The collected data is analyzed to obtain an ecological restoration evaluation result; if the evaluation result does not satisfy a preset condition, the setting scheme of the insect house is adjusted according to the evaluation result, including at least one of site selection, structure and material of the insect house; after adjustment, the data is re-acquired and analyzed until the evaluation result satisfies the preset condition. The application sets the insect house equipped with the panoramic monitoring module in the mangrove restoration area, collects biological and environmental data in real time and analyzes and evaluates, dynamically adjusts the setting scheme of the insect house according to the evaluation result, solves the problem that the traditional method ignores the insect community and causes incomplete ecological chain, realizes ecological restoration effect evaluation and strategy optimization through dynamic monitoring of the insect community and environmental data, and improves the overall stability of the mangrove ecological system. BRIEF DESCRIPTION OF DRAWINGS

[0054] Figure 1 is a flowchart of a mangrove ecological restoration method provided by an embodiment of the application;

[0055] Figure 2 is a structural schematic diagram of a mangrove ecological restoration device provided by an embodiment of the application;

[0056] Figure 3 is a hardware structural schematic diagram of an electronic device provided by an embodiment of the application. DETAILED DESCRIPTION

[0057] In order to make the purpose, technical scheme and advantages of the application more clear, the application is further described in detail below in combination with the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the application, and are not used to limit the application.

[0058] It should be noted that although the functional modules are divided in the device schematic diagram, and the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a manner different from the module division in the device or the order in the flowchart. The terms "first", "second", etc. in the description, claims and above drawings are used to distinguish similar objects, and do not necessarily describe a specific order or sequence.

[0059] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the application belongs. The terms used herein are only for the purpose of describing the embodiments of the application, and are not intended to limit the application.

[0060] Mangrove wetlands, as a special ecosystem in the transition zone between land and sea, have important ecological functions such as wind and wave reduction, water purification, carbon fixation and storage, and biodiversity maintenance. However, with the intensification of global climate change, human activities, and environmental pollution, mangrove ecosystems are facing unprecedented threats, leading to a sharp decline in area, biodiversity, and ecological function degradation, posing a serious challenge to the ecological security and sustainable development of coastal zones.

[0061] Traditional mangrove wetland restoration methods focus on the cultivation and restoration of mangrove plants themselves, using methods such as embryo axis planting and seedling transplantation to rebuild plant communities. Although this approach can quickly increase the coverage of mangrove plants in the short term, it often overlooks the key role of animal communities, especially insects, in the ecosystem. This single-dimensional restoration results in an incomplete ecological chain, poor system stability, and difficulty in resisting external interference, making it difficult to achieve comprehensive restoration of ecological functions.

[0062] In the mangrove ecosystem, insects play a key role as consumers and decomposers in material cycling and energy flow. Some insects can help mangrove plants complete pollination or seed dispersal, promoting natural regeneration of plant communities. Insects are also an important food source for birds, and the abundance and diversity of insect communities directly affect the survival and reproduction of these higher trophic level organisms, which are crucial for maintaining biodiversity and stability of the entire ecosystem.

[0063] Based on this, the embodiments of the present application provide a mangrove ecological restoration method, system, device and storage medium, aiming to develop a new restoration method that can effectively promote the restoration of mangrove ecosystems, protect biodiversity, and have intelligent monitoring and evaluation functions.

[0064] The mangrove ecological restoration method, system, device and storage medium provided by the embodiments of the present application are specifically explained by the following embodiments. First, the mangrove ecological restoration method in the embodiments of the present application is described.

[0065] The mangrove forest ecological restoration method provided in the embodiments of the present application relates to the technical field of ecological restoration. The mangrove forest ecological restoration method provided in the embodiments of the present application can be applied to a terminal, can also be applied to a server end, and can further be software running in the terminal or the server end. In some embodiments, the terminal can be a smart phone, a tablet computer, a notebook computer, a desktop computer, or the like; the server end can be configured as a stand-alone physical server, can also be configured as a server cluster or a distributed system formed by a plurality of physical servers, and can further be configured as a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDNs, and big data and artificial intelligence platforms; and the software can be an application for implementing the mangrove forest ecological restoration method, but is not limited to the above forms.

[0066] The present application can be used in many general or special computer system environments or configurations. For example: personal computers, server computers, handheld devices or portable devices, tablet devices, multi-processor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, and the like. The present application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, and the like that perform specific tasks or implement specific abstract data types. The present application can also be practiced in a distributed computing environment, in which tasks are performed by remote processing devices connected by a communication network. In a distributed computing environment, program modules can be located in local and remote computer storage media, including storage devices.

[0067] It should be noted that in each specific embodiment of the present application, when relevant processing needs to be performed on data related to the identity or characteristics of the user, such as user information, user behavior data, user history data, and user location information, the user's permission or consent will be obtained first, and the collection, use, and processing of such data will comply with relevant laws, regulations, and standards. In addition, when the embodiments of the present application need to obtain sensitive personal information of the user, the separate permission or separate consent of the user will be obtained through a pop-up window or a jump to a confirmation page, and after obtaining the separate permission or separate consent of the user, the necessary user-related data for enabling the embodiments of the present application to normally operate will be obtained.

[0068] Figure 1 is an optional flowchart of the mangrove forest ecological restoration method provided by the embodiments of the present application, Figure 1 The method in can include but is not limited to steps S100 to S400.

[0069] Step S100, a plurality of said insect houses are arranged in the mangrove forest restoration area.

[0070] In this embodiment, the mangrove ecological restoration method is applied to a mangrove ecological restoration system, which includes a cloud platform and an insect house. The insect house includes a panoramic monitoring module, and the panoramic monitoring module in the insect house is in communication connection with the cloud platform. The mangrove ecological restoration system refers to a hardware and software integrated platform composed of the cloud platform and the insect house. The insect house is arranged in the restoration area as a physical carrier, and the cloud platform serves as a data processing center. Specifically, the two-way data transmission between the insect house and the cloud server can be realized by using an Internet of Things communication module. The insect house refers to an artificial structure with biological habitat function. Specifically, it can be built by using wood, bamboo or environmentally friendly composite materials. The interior is provided with an insect habitat space and integrated with monitoring equipment for attracting insects and collecting ecological data. The panoramic monitoring module refers to a combination of biological and environmental monitoring sensors. Specifically, a multi-dimensional data acquisition unit is formed by using sensor devices such as cameras, radars, temperature sensors, humidity sensors, water quality sensors, soil sensors and air sensors. A real-time data transmission channel is established between the cloud platform through a wireless communication protocol.

[0071] Specifically, when arranging a plurality of insect houses, factors such as the topography of the restoration area, the distribution of vegetation, the influence of tides, etc. should be considered. The insect houses are arranged dispersedly or centrally to maximize the coverage of different habitats or target restoration areas. The site selection of the insect house aims to provide suitable habitat for specific target insects (such as pollinating insects and predatory insects). The structural design of the insect house takes into account the habitat needs of the target insects, for example, using natural materials such as bamboo, selecting bamboo tubes or holes of different diameters according to the size of the target insects, or setting up different types of nest structures (such as wood block drilling, beehive structure, etc.) to attract diversified insect communities. The material selection of the insect house considers weather resistance, biocompatibility and attractiveness to target insects, for example, using natural bamboo, ceramic pipes of specific aperture, or treated durable composite materials, etc.

[0072] This embodiment establishes an ecological monitoring network covering the entire restoration area by arranging a plurality of insect houses in the mangrove restoration area. Each insect house serves as a monitoring node, and the panoramic monitoring module collects biological activity and environmental parameter data of the surrounding environment. The introduction and aggregation of insects for the mangrove ecosystem provide food sources for higher trophic level organisms such as birds, and promote the rapid formation and stability of the ecological chain.

[0073] Step S200, biological detection data and environmental detection data collected by the panoramic monitoring module in each insect house are obtained through the cloud platform.

[0074] In this embodiment, the biological detection data refers to quantitative indicators reflecting the activities of insects and birds. Specifically, the insect movement paths can be obtained through radar trajectory tracking technology, the insect species and quantity can be counted through image recognition algorithm, and the bird predation frequency can be identified through audio analysis. The environmental detection data refers to physical and chemical parameters representing the characteristics of the microenvironment. Specifically, the temperature, humidity, water quality pH, salinity, dissolved oxygen concentration, soil heavy metal content, and air particulate matter concentration can be continuously monitored through a sensor array.

[0075] Specifically, the panoramic monitoring module includes a biological detection module (e.g., panoramic camera, radar, etc.) and an environmental monitoring module (temperature sensor, humidity sensor, water quality sensor, soil sensor, and air sensor, etc.). The environmental sensor can collect environmental data such as temperature, humidity, light intensity, wind direction and speed, and air pollutants (such as PM2.5). The panoramic camera and radar are set at appropriate positions of the insect house, which can cover the areas where insects enter and exit, inhabit, and attract birds and other biological activities, and can capture high-definition images or videos in real time, as well as detect and collect the activity tracks of the organisms. The cloud platform serves as a data transfer and processing center, receiving and storing biological image / video data and environmental sensor data uploaded from the biological detection modules of each insect house. The cloud platform provides a data interface for subsequent analysis.

[0076] This embodiment integrates the panoramic monitoring module and the cloud platform to realize real-time, automatic, and large-scale monitoring of insect, bird activities, and environmental factors, overcoming the limitations of traditional manual observation and improving the efficiency and accuracy of data acquisition.

[0077] Step S300, analyzing the collected biological detection data and environmental detection data to obtain an ecological restoration evaluation result.

[0078] In this embodiment, image recognition technology (such as convolutional neural network CNN based on deep learning) is used to automatically identify the insect species and quantity in the images / videos, analyze the insect community structure, diversity, and abundance changes, and also use image recognition technology to identify the bird species and quantity. By combining the biological detection data and the environmental detection data, the biological diversity index is calculated to evaluate the attracting effect of the insect house on target insects and birds, analyze its contribution to food chain construction, and through data mining and model analysis, the ecological restoration of the restoration area is evaluated to generate an ecological restoration evaluation result. The ecological restoration evaluation result refers to a quantitative evaluation index based on multi-source data fusion. Specifically, machine learning algorithms can be used to analyze the correlation between insect community structure changes and environmental parameters, and an ecological restoration force prediction model can be established to output an evaluation score. The evaluation result reflects the diversity, activity level of the insect community, and the interaction with environmental factors.

[0079] By using real-time monitoring data and analysis results, the embodiment can timely find problems in the restoration process and adjust the setting scheme of the insect house (site selection, structure, material, etc.) accordingly, forming a closed-loop feedback mechanism of "monitoring-evaluation-adjustment", making the restoration process more refined and scientific, and improving the restoration efficiency and success rate.

[0080] In step S400, if the ecological restoration evaluation result does not meet the preset condition, the setting scheme of the insect house is adjusted according to the ecological restoration evaluation result, and the step of obtaining biological detection data and environmental detection data collected by the panoramic monitoring module in each insect house through the cloud platform is executed until the ecological restoration evaluation result meets the preset condition. The setting scheme includes at least one of site selection, structure, and material of the insect house.

[0081] In the embodiment, the preset condition is set according to the restoration target, for example, the population number of a specific beneficial insect (such as a pollinator) reaches a threshold value, the appearance frequency and number of a specific insectivorous bird reach a requirement, the insect community diversity index is improved to a certain level, etc. If the evaluation result does not meet the preset condition, the reasons are analyzed, for example, the insect house may be poorly located, the structure may not be suitable for the target insect, the material may not be attractive enough, etc. Accordingly, the setting scheme of the insect house is adjusted, for example, the placement position of the insect house is changed, different aperture bamboo tubes or nest modules are replaced, the material is replaced, the number of insect houses is increased or decreased, etc., and then the step S200 is returned to continue monitoring and evaluation, forming a closed-loop optimization. This feedback mechanism makes the restoration process dynamic and adaptive. By adjusting the site selection, structure, or material of the insect house, the insect habitat can be optimized, and the formation and development of the insect community can be promoted.

[0082] The embodiment deploys multiple insect houses in the restoration area to establish an ecological monitoring network covering the entire area, which can comprehensively collect biological activity and environmental parameter data. The data analysis function of the cloud platform enables timely discovery of problems in the ecological system and targeted optimization by adjusting the setting scheme of the insect house. This dynamic feedback mechanism improves the accuracy and effectiveness of mangrove ecological restoration and accelerates the self-restoration process of the ecological system. At the same time, through continuous monitoring and evaluation, problems that occur during the restoration process can be timely discovered and solved, reducing the risk of ecological system degradation. This method not only focuses on vegetation restoration but also values the role of small organisms such as insects in the ecological system, which helps to build a more complete and stable ecological chain and improve the anti-interference ability and sustainability of the restored mangrove ecological system.

[0083] In some embodiments, step S100 can include but is not limited to steps S110 to S120:

[0084] Step S110, according to the different geographical environment and biological activity frequency of the mangrove restoration area, a plurality of insect houses are arranged;

[0085] Step S120, a panoramic monitoring module is arranged in each insect house, the panoramic monitoring module includes a biological monitoring module and an environmental monitoring module, the biological monitoring module is used to collect the biological detection data, and the environmental monitoring module is used to collect the environmental detection data.

[0086] In this embodiment, when the insect houses are arranged in the mangrove restoration area, the insect houses are arranged according to the different geographical environment and biological activity frequency of the mangrove restoration area. For example, the insect houses are arranged in the edge area, the internal area and the water-land junction area of the mangrove respectively to cover different ecological environments. A panoramic monitoring module is installed in each insect house, which includes a biological monitoring module and an environmental monitoring module. The biological monitoring module is used to collect biological detection data, and the environmental monitoring module is used to collect environmental detection data. The geographical environment includes spatial heterogeneity factors such as intertidal elevation, terrain relief and vegetation coverage density, and the biological activity frequency can be determined by historical observation data or remote sensing monitoring to determine the activity hotspot area of insects and birds. The biological monitoring module can integrate an infrared trigger device or a sound wave sensor, and the environmental monitoring module can be configured with a multi-channel data acquisition interface. The distribution density of the insect house is dynamically adjusted according to the complexity of the terrain, for example, the distribution density is increased in the area with dense tidal ditches, and the distribution density is reduced in the flat mudflat area. The monitoring period of the biological activity frequency is divided into different time windows such as day and night alternation period and tidal rise and fall period, and the data acquisition frequency is synchronized with the biological activity period.

[0087] Specifically, the biological monitoring module can include a high-definition camera and a microwave radar. The high-definition camera is used to capture the activity image of insects and other small animals, and the microwave radar is used to detect the biological activity range and frequency. The environmental monitoring module can include a temperature and humidity sensor, a water quality analyzer, a soil detector and an air quality monitor. These devices are respectively used to collect the temperature, humidity, water quality, soil and air of the environment around the insect house.

[0088] In this embodiment, by arranging the insect houses in different geographical positions, detailed biological activity data and environmental parameters can be obtained, which provides a comprehensive and accurate information basis for evaluating the ecological restoration effect. By comparing and analyzing the ecological restoration conditions of different areas, more targeted restoration strategies can be developed, which helps to improve the accuracy and effectiveness of mangrove ecological restoration and accelerate the restoration process of the ecological system.

[0089] In some embodiments, step S200 can include but is not limited to steps S210 to S270:

[0090] Step S210, detecting and collecting the activity trajectory of the biological through the radar;

[0091] Step S220, in the case that the radar detects biological activity, capturing the image of the biological activity by the camera;

[0092] Step S230, capturing the temperature in the insect house by the temperature sensor;

[0093] Step S240, capturing the humidity in the insect house by the humidity sensor;

[0094] Step S250, capturing the water quality environmental data of the insect house by the water quality sensor, the water quality environmental data including the water quality pH, salinity and dissolved oxygen concentration in the water quality environment where the insect house is located;

[0095] Step S260, capturing the soil environmental data of the insect house by the soil sensor, the soil environmental data including the soil pH, heavy metal content and organic matter content in the soil environment where the insect house is located;

[0096] Step S270, capturing the air environmental data in the insect house by the air sensor, the air environmental data including the carbon dioxide concentration, methane concentration and fine particulate matter concentration in the insect house.

[0097] In the embodiment, the radar is used for non-contact detection of biological dynamic trajectory, the camera captures the image after the radar triggers to record the biological species and behavior, the temperature sensor and the humidity sensor monitor the microclimate of the insect house, the water quality sensor covers the water quality pH, salinity and dissolved oxygen concentration, the soil sensor detects the soil pH, heavy metal content and organic matter content, and the air sensor measures the carbon dioxide, methane and fine particulate matter concentration. The sensor data is integrated through the cloud platform to form a multi-dimensional environmental feature data set.

[0098] In this embodiment, the radar continuously scans the surrounding area of the insect house, triggering the camera to take high-resolution images when biological activity is detected, and recording the activity trajectory synchronously. As an all-weather, all-day detection device, the radar operates continuously and actively detects the insect house and its surrounding area. When the radar detects the activity signal of a living being (such as insects, small birds), it accurately records the location, moving direction and speed of the living being, thus generating the activity trajectory data of the living being. This part of data is uploaded to the cloud platform in real time or periodically. The introduction of radar enables the system to capture biological activity information and obtain its movement pattern even in insufficient light or adverse weather conditions. When the radar detects biological activity, it sends a trigger signal to the camera. After receiving the signal, the camera immediately starts high-resolution shooting mode and collects images (which can be a short video or multiple high-resolution photos) of the active area indicated by the radar. This linkage ensures that the images captured by the camera are "key moments" of biological activity, greatly improving the efficiency and accuracy of subsequent image recognition analysis. If there is no radar trigger, the camera can also be set to perform low-frequency basic environment or insect house state monitoring at fixed intervals.

[0099] In this embodiment, the temperature sensor and humidity sensor collect the temperature and humidity changes inside the insect house in real time. The temperature sensor continuously or at a set frequency (e.g. every 5 minutes) measures and records the temperature data inside the insect house. These data points are sent to the cloud platform for constructing the temperature curve over time or for correlation analysis with other biological activity data. The temperature sensor can measure the temperature of the insect house and its surrounding microenvironment, which is a key factor affecting the physiological activity and distribution of insects. The humidity sensor continuously or at a set frequency measures and records the relative humidity of the air inside the insect house. The humidity sensor can measure the relative humidity of the air, which is crucial for the survival and reproduction of insects.

[0100] In this embodiment, if the insect house is set near a water body or in an area significantly affected by tides, the water quality sensor will monitor the water body periodically (e.g. at specific times every day, or according to tidal changes) or continuously. The pH, salinity and dissolved oxygen (DO) concentration data measured by the sensor are collected and uploaded. These data are crucial for assessing the health of the water body, understanding the survival environment of water-related insects (such as mayflies, dragonfly larvae), and the overall wetland ecological function.

[0101] In this embodiment, the soil sensor is usually fixed in the soil near the insect house. It collects soil samples (if it is a contact sensor) or makes in-situ measurements at a preset period (for example, every week or every month) to obtain the pH, heavy metal content (such as lead, cadmium, etc., reflecting soil pollution), and organic matter content of the soil. These data are of great significance for assessing soil quality, understanding the survival environment of soil insects (such as ants, termites, earthworms, etc.), and plant-insect interactions.

[0102] In this embodiment, the air sensor continuously or at a set frequency monitors the concentrations of carbon dioxide (CO2), methane (CH4), and fine particulate matter (PM2.5) in the air near the insect house. These data reflect the chemical composition and cleanliness of the local air, which may be related to the respiratory health, behavior of insects, and overall carbon cycle and air quality of the restoration area.

[0103] This embodiment obtains ecological data around the insect house in the mangrove restoration area from multiple dimensions such as the trajectory and image of biological activity, temperature, humidity, water quality, soil, and air of the microenvironment, providing solid data support for subsequent in-depth analysis and accurate assessment; through multi-dimensional data cross-validation, it accurately locates the key environmental factors affecting ecological restoration effects, providing quantitative basis for adjusting the insect house setting scheme. In addition, real-time monitoring data can timely reflect the changes of the ecological system, which is helpful for quick response and adjustment of restoration measures.

[0104] In some embodiments, step S300 can include but is not limited to steps S310 to S360:

[0105] Step S310, for each of the biological detection data and environmental detection data collected by the insect house, analyzing the biological detection data to obtain the species, quantity, and activity trajectory of insects attracted by the insect house in the detection period, and the species and predation frequency of birds attracted by the insects;

[0106] Step S320, analyzing the environmental detection data to obtain the temperature change, humidity change, water quality environmental data, soil environmental data, and air environmental data of the insect house in the detection period;

[0107] Step S330, analyzing according to the species, quantity, and activity trajectory of the insects, and the species and predation frequency of the birds to obtain the ecological restoration effect of the insect house;

[0108] Step S340, according to the temperature change of the insect house, the humidity change, the water quality environment data, the soil environment data, the air environment data and the ecological restoration effect, analysis is carried out to obtain the influence of each environment characteristic on the ecological restoration effect of the insect house, and the environment characteristics include temperature, humidity, water quality pH, salinity, dissolved oxygen concentration, soil pH, heavy metal content and organic matter content, carbon dioxide concentration, methane concentration and fine particulate matter concentration;

[0109] Step S350, according to the ecological restoration effect of the insect house and the influence of the environment characteristics on the ecological restoration effect of the insect house, an ecological restoration evaluation sub-result is obtained.

[0110] Step S360, according to the ecological restoration evaluation sub-result of each insect house, the ecological restoration evaluation result is obtained.

[0111] In this embodiment, after the cloud platform receives the biological detection data (images / videos, radar trajectories, etc.) and environmental detection data (temperature and humidity, water quality, soil, air, etc.) collected by the panoramic monitoring module of each insect house, it will call the built-in AI analysis model and data processing algorithm, perform a series of analysis steps, and finally generate a comprehensive ecological restoration evaluation result.

[0112] Specifically, for the biological detection data and environmental detection data collected by each insect house, the biological detection data is analyzed to obtain the species, quantity and activity trajectory of insects attracted by the insect house within the detection period, as well as the species and predation frequency of birds attracted by the insects. For example, by analyzing the images captured by the camera through image recognition technology, the species of insects and birds are identified, the number is counted, and the activity trajectory is analyzed in combination with radar data. The AI image recognition model (such as CNN based on deep learning) will process the images / videos captured by the camera, automatically identify the species of insects (such as bees, ants, parasitic bees, ladybugs, grasshoppers, etc.), and count the number of changes within the detection period. At the same time, combined with the biological activity trajectory data collected by the radar, the movement pattern and aggregation of the insects can be more comprehensively understood. For example, the frequency and species of insects entering and exiting the insect house at a specific time (such as early morning and dusk) can be analyzed. Using AI image recognition technology (possibly combined with sound recognition), analyze the bird images captured by the camera, identify the species of birds (such as white heron, kingfisher, night heron, etc.), and count the number of visits. By analyzing the bird's behavior of staying around the insect house and predation behavior (for example, observing whether it preys on insects captured by the radar or camera near the entrance of the insect house), the predation frequency of birds can be quantified, and the effect of the insect house in attracting birds can be evaluated.

[0113] The environmental detection data is analyzed to obtain temperature changes, humidity changes, water quality environmental data, soil environmental data, and air environmental data of the insect house within the detection period. Specifically, time series analysis methods can be used to process temperature and humidity sensor data to obtain temperature and humidity change trends; statistical analysis of water quality, soil, and air sensor data can be performed to obtain average values, maximum values, minimum values, and other statistical characteristics of each index.

[0114] According to the species, quantity, and activity trajectory of insects, as well as the species and predation frequency of birds, the ecological restoration effect of the insect house is obtained. Specifically, it can be determined whether the target insect species (e.g., bees beneficial to pollination of mangrove plants or parasitic bees with pest control effects) is successfully attracted, and whether the quantity of the attracted insects meets the expectations. Similarly, the attraction effect on target birds (e.g., insectivorous birds) is evaluated. The diversity index (such as the Shannon index and the Simpson index) of the insect community structure is analyzed to evaluate whether the insect house promotes the improvement of insect diversity. Combined with the analysis results of insects and birds, it is evaluated whether the insect house successfully constructs the "insect-bird" food chain link. For example, high-frequency bird predation behavior indicates that the insect house has attracted enough insects and provided food sources for birds. The activity trajectory of insects is analyzed to determine whether they successfully inhabit and reproduce in the insect house or whether they move on surrounding plants to indirectly promote plant pollination or seed dissemination.

[0115] According to the temperature changes, humidity changes, water quality environmental data, soil environmental data, air environmental data, and ecological restoration effect of the insect house, the influence of various environmental characteristics on the ecological restoration effect of the insect house is obtained. The multiple environmental characteristics include temperature, humidity, water quality pH, salinity, dissolved oxygen concentration, soil pH, heavy metal content and organic matter content, carbon dioxide concentration, methane concentration, and fine particulate matter concentration. Specifically, statistical methods (such as correlation coefficient calculation and regression analysis) can be used to analyze the relationship between the changes of environmental parameters such as temperature, humidity, water quality, soil, and air and restoration effect indicators such as insect attraction effect, bird predation frequency, and biodiversity. For example, it is analyzed whether an increase in temperature leads to an increase in the number of certain insects, or whether high salinity affects the survival of certain insects and the visit of birds. It is analyzed how the change trend of environmental parameters over a long time sequence affects the evolution of restoration effects. For example, how seasonal temperature changes affect the periodic changes in the types of insects attracted by the insect house. Differences in environmental parameters and restoration effects of insect houses in different geographical locations and under different environmental conditions are compared to identify key influencing factors. Through the above analysis, it can be identified which environmental characteristics (such as a specific temperature range, suitable soil organic matter content, clean air, etc.) are most critical for the ecological restoration function of the insect house, or which environmental limiting factors (such as high heavy metal pollution and extreme drought) hinder the improvement of restoration effects.

[0116] According to the ecological restoration effect of the insect house and the influence of the environmental characteristics on the ecological restoration effect of the insect house, an ecological restoration evaluation sub-result is obtained. Specifically, the insect diversity index, food web complexity, and environmental factor influence degree can be comprehensively considered to construct a comprehensive evaluation index system, and the ecological restoration evaluation score of a single insect house is calculated. According to the ecological restoration evaluation sub-result of each insect house, the ecological restoration evaluation result is obtained. For example, the average restoration effect, biodiversity level, and food chain construction of the entire restoration area are calculated by comprehensively considering the effects of all insect houses; the evaluation sub-results of insect houses in different regions are compared to identify the regions with good restoration effects and the regions with poor restoration effects, and the reasons for the differences; according to the change of the evaluation sub-result over time, it is judged whether the overall progress trend of the entire restoration project is good or deteriorating; by using the weighted average method or the analytic hierarchy process, the overall ecological restoration evaluation score of the entire mangrove restoration area is calculated by comprehensively considering factors such as the geographical position and environmental representativeness of each insect house.

[0117] This embodiment accurately evaluates the influence of the insect house on the ecosystem by comprehensively analyzing the activity data of insects and birds and environmental parameters. Combined with various ecological indicators and statistical analysis methods, the progress and effect of ecological restoration are objectively reflected. At the same time, by establishing a relationship model between environmental factors and restoration effects, scientific basis is provided for optimizing the insect house setting scheme, which helps to improve the pertinence and effectiveness of mangrove ecological restoration.

[0118] In some embodiments, step S330 can include but is not limited to steps S331 to S334:

[0119] Step S331, analyzing the activity trajectory of the organism to obtain the activity range and behavior pattern of the insects in the insect house during the detection period;

[0120] Step S332, calculating the community structure and diversity change of the insects in the insect house according to the species, number, activity range, and behavior pattern of the insects;

[0121] Step S333, analyzing the predation relationship between different species of insects and birds according to the species, number of the insects, and the species, predation frequency of the birds to obtain the influence of the insect house on the food chain;

[0122] Step S334, evaluating the community structure and diversity change of the insects in the insect house and the influence of the insect house on the food chain to obtain the ecological restoration effect of the insect house.

[0123] In this embodiment, the biological activity trajectory analysis can detect insect movement paths by radar and record time series data, the activity range is calculated by clustering trajectory point coordinates to cover the area, and the behavior pattern is identified by trajectory speed change and residence time distribution to identify foraging, mating or habitat behavior. Insect community structure can quantify diversity changes using Shannon-Wiener index, and predation relationship analysis can establish a food chain model by matching the appearance time of birds with the active period of insects and the correlation between predation frequency and insect number.

[0124] Specifically, the activity trajectory of the organism is analyzed to obtain the activity range and behavior pattern of the insects in the insect house during the detection period. By calculating the distribution range of the trajectory points or the location of a specific behavior (such as staying, foraging), it can be determined which areas are the main activity areas of insects (especially insects that successfully occupy or frequently visit the insect house) during the detection period. Combined with trajectory data, camera images and time information, various behavior patterns of insects can be identified. For example: analyzing the frequency and peak period of insects entering and exiting the insect house to judge the attractiveness and utilization rate of the insect house; identifying the residence time and location of insects on the entrance, interior or surrounding plants of the insect house, which may indicate their habitat, foraging or breeding behavior; observing the behavior patterns of insects collecting nectar, leaves or hunting other small organisms on plants near the insect house; analyzing whether there is an aggregation phenomenon of specific species of insects, which may indicate that the insect house provides ideal breeding or overwintering conditions; analyzing the differences in trajectory and behavior at different time periods to understand the diurnal activity patterns of insects and their association with the insect house.

[0125] After understanding the activity patterns of insects, the community structure and diversity changes of insects in the insect house can also be calculated based on the species, number, activity range and behavior pattern of insects, and analyzed at the community ecology level. Specifically, statistical ecology methods can be used to calculate the composition structure of the insect community based on the identified species and their relative abundance during the detection period; calculate indicators reflecting the diversity level of the insect community, such as Shannon index, Simpson index, species richness (total number of species), etc., and compare these indicators with baseline data before restoration or with insect diversity in adjacent areas without insect houses; track and analyze the trends of insect community structure and diversity index in consecutive detection periods, such as whether the number of insect species increases, the diversity improves, and the community structure becomes more stable over time, which directly reflects the impact of the insect house on the dynamics of the insect community. Through calculation and analysis, the contribution of the insect house to the recovery of the insect community structure and diversity can be quantified.

[0126] According to the species and quantity of insects and the species and frequency of predation of birds, the predation relationship between different species of insects and birds is analyzed to obtain the influence of the insect house on the food chain. Specifically, the behavior of birds around the insect house can be observed by combining camera images and activity trajectory data. When a bird is observed to capture a specific species of insect tracked by radar or camera, the predation relationship between the two can be preliminarily inferred. The total frequency of the predation behavior of different species of birds, as well as the main species of insects they prey on, is counted. For example, a certain insectivorous bird may mainly prey on adult insects of a certain order of Lepidoptera, while another may mainly prey on insects of the order Coleoptera. Based on the identified predation relationship, a local food chain segment with the insect house as a node can be preliminarily depicted. It is evaluated whether the insect house successfully attracts certain insectivorous birds and whether it provides enough diverse sources of insect food. For example, if multiple insectivorous bird species are detected frequently visiting and preying on multiple species of insects, it indicates that the insect house effectively promotes the construction of the "insect-bird" food chain link. Conversely, if only a small number of birds occasionally visit and the predation behavior is rare, it may indicate that the insect house is limited in attracting birds or providing food. Through this analysis, the specific contribution of the insect house to promoting energy flow and material cycling, i.e., its influence on food chain construction, can be evaluated.

[0127] The changes in the community structure and diversity of insects in the insect house, as well as the influence of the insect house on the food chain, are evaluated to obtain the ecological restoration effect of the insect house. Further, a comprehensive scoring system can be constructed to quantify the ecological restoration effect by considering indicators such as insect diversity index and food web complexity index. Specifically, if the insect diversity is significantly improved and multiple target insectivorous bird species are attracted, and frequent predation behavior is observed, it can be considered that the insect house has good ecological restoration effect. If the insect diversity is improved but not significant, or mainly attracts non-target insects, or the bird attraction effect is poor, the evaluation result may be medium or poor. The evaluation results can be quantified, for example, a restoration effect score is given, or several key indicators (such as the percentage of improvement in insect diversity index, the number of target birds attracted, the number of food chain nodes, etc.) are listed. Through the above analysis, a relatively comprehensive and specific ecological restoration effect evaluation for each insect house can be obtained, providing a clear basis for whether the setting scheme of the insect house needs to be adjusted.

[0128] By analyzing the trends of changes in insect community structure and diversity, the interactions between insects and other organisms can be deeply understood; by quantitatively evaluating the influence of the insect house on the food chain, the restoration degree of the ecological system can be more objectively judged; this multi-dimensional evaluation method helps to timely find problems in the ecological restoration process, provides scientific basis for subsequent restoration strategy adjustment, and thus improves the accuracy and effectiveness of mangrove ecological restoration.

[0129] In some embodiments, step S340 can include but is not limited to steps S341-S342:

[0130] Step S341, correlation analysis is performed on the plurality of environmental characteristics and the ecological restoration effect, and a correlation model of the plurality of environmental characteristics and the ecological restoration effect is constructed.

[0131] Step S342, according to the correlation model, the influence of each environmental characteristic on the ecological restoration effect of the insect house is predicted.

[0132] In this embodiment, after obtaining the biological restoration effect evaluation results of each insect house and the environmental data collected in the corresponding period, the cloud platform analyzes these data. First, ensure that the biological restoration effect evaluation results and the environmental data in the corresponding period are aligned in time. The environmental data is preprocessed as necessary, such as removing outliers, handling missing values, standardizing or normalizing, etc. Then, using statistical methods, the relationship between multiple environmental characteristics (temperature, humidity, water quality pH / salinity / DO, soil pH / heavy metals / organic matter, air CO2 / CH4 / PM2.5, etc.) and insect house ecological restoration effect indicators is analyzed. Specifically, first, the Pearson correlation coefficient or Spearman rank correlation coefficient between temperature and target insect quantity, bird predation frequency, and insect diversity index can be calculated; the correlation coefficient between soil organic matter content and total insect quantity and bird diversity is calculated. Second, a regression model (such as multiple linear regression, logistic regression, etc.) is established, with the ecological restoration effect indicators as the dependent variable and multiple environmental characteristics as the independent variable, to analyze which environmental characteristics have a significant predictive effect on the effect, and whether the effect is positive or negative. For example, a model is established to predict the insect diversity index, and the independent variables may include average temperature, average humidity, soil organic matter content, etc. More complex machine learning algorithms (such as decision trees, random forests, support vector machines, etc.) can also be applied to establish the correlation model between environmental characteristics and restoration effects. These methods can handle non-linear relationships and interactions between features, and may more accurately capture complex ecological relationships. For example, using a random forest model, the importance score of each environmental characteristic in predicting the restoration effect can be evaluated. Finally, based on the results of correlation analysis and regression analysis, key environmental-effect correlation rules are extracted, and a mathematical model or rule base is formed. This "correlation model" can be a mathematical formula, a statistical model, a decision tree structure, or a probability distribution description. It quantitatively or qualitatively describes how a change in a certain environmental characteristic (such as humidity) affects the ecological restoration effect of an insect house (such as a Z% increase or decrease in bird predation frequency) under certain conditions (e.g., temperature range between X and Y).

[0133] After the correlation model is established, the influence of each environmental feature on the ecological restoration effect of the insect house can be predicted based on the correlation model. By adjusting each environmental feature variable in the model, the trend of the ecological restoration effect can be observed. For example, the influence degree of a certain environmental feature on the insect diversity index can be predicted by increasing or decreasing the value of the environmental feature. Specifically, for each important environmental feature, the correlation model can be used to predict the specific influence degree of the environmental feature on the ecological restoration effect of the insect house at the current or future set value. For example, the model may predict that if the soil organic matter content around the insect house is increased by 10%, the insect diversity index is expected to increase by 5%, and the target bird predation frequency is expected to increase by 20%. By changing the environmental feature input value in the correlation model, the sensitivity of the ecological restoration effect index to these changes can be analyzed, which helps to identify which environmental features are key factors (high sensitivity) that affect the restoration effect and which are secondary factors (low sensitivity). For example, analysis shows that temperature change has the greatest impact on the effect, while CH4 concentration in the air has little effect. Thus, it can be determined which environmental factors have a significant impact on the ecological restoration effect, providing a basis for subsequent optimization of the insect house.

[0134] By quantitatively analyzing the relationship between multiple environmental factors and ecological restoration effects in mangrove ecosystems, the embodiment can accurately identify key environmental factors that affect ecological restoration effects, providing scientific basis for the setting and optimization of insect houses. By establishing a correlation model between environmental features and ecological restoration effects, the ecological restoration effects under different environmental conditions can be predicted, thereby guiding the selection of insect house sites, the adjustment of insect house structures and materials. This data-driven approach improves the accuracy and efficiency of mangrove ecological restoration, and helps to achieve more effective and sustainable ecosystem restoration.

[0135] In some embodiments, step S400 can include but is not limited to steps S410 to S430:

[0136] Step S410: Comparing the ecological restoration evaluation sub-results of multiple insect houses, selecting the top N insect houses in terms of ecological restoration effect as optimization samples, N being a positive integer;

[0137] Step S420: Adjusting the site selection of the insect house according to the multiple environmental features corresponding to the N optimization samples;

[0138] Step S430: Adjusting the structure and material of the insect house according to the insect species in the N optimization samples.

[0139] In this embodiment, when the cloud platform aggregates and analyzes all the ecological restoration evaluation results of the insect houses (including overall evaluation results and evaluation sub-results of each sub-region), it compares them with the preset conditions. If the evaluation results do not meet the preset conditions (for example, the overall biodiversity is not improved enough, or the key target species are not attracted effectively), the adjustment process is started. The selection of optimization samples is achieved by comparing the evaluation sub-results of all insect houses in the same restoration area. The top N (N is a preset positive integer) samples need to meet the preset restoration effect threshold. Environmental characteristics include temperature, humidity, water quality pH, and other dimensional parameters. Site adjustment can be achieved by establishing an environmental characteristic distribution model of the high restoration effect area through spatial interpolation method to determine the new layout coordinates that meet the model characteristics. Structure adjustment can include optimization of the number of internal partitions and the size of the entrance aperture. Material adjustment involves the selection of wood porosity and surface roughness. Specific parameters can be determined according to the habitat preferences of target insect species.

[0140] When the system detects that the ecological restoration evaluation results are not up to standard, it automatically retrieves the evaluation sub-result data set of all insect houses, calculates the comprehensive score according to the preset weight, and selects the top N samples. In order to find the direction and best practice of adjustment, the system first performs a horizontal comparison of all the set insect houses. Due to the complex terrain and diverse environment of the restoration area, the effects of insect houses at different locations may differ significantly. The system sorts the ecological restoration evaluation sub-results of each insect house. The basis for sorting can be the comprehensive score or the ranking of specific targets (such as maximizing bird attraction or maximizing the number of pollinating insects). The system selects the top N insect houses, i.e. these insect houses have the relatively best ecological restoration effect under the current settings.

[0141] For each optimization sample, analyze its corresponding environmental characteristic data (temperature, humidity, water quality, soil, air, etc.) and evaluation sub-results to determine which environmental characteristic combinations or specific environmental conditions are significantly related to good ecological restoration effects (such as high insect diversity and effective food chain construction). For example, it may be found that the top-ranked samples are mostly located in areas with moderate humidity, high organic matter content in the soil, and low heavy metal content, and these samples successfully attract a large number of pollinating insects and insectivorous birds. Based on the above analysis, the system generates adjustment suggestions. The purpose of adjustment is to move the settings of the underperforming insect houses closer to the successful patterns of optimization samples. The adjustment may include site adjustment, structure adjustment, material adjustment, quantity adjustment, etc.

[0142] Specifically, if it is found that all optimized samples are located in a specific type of habitat (such as forest edge, shallow water area), and some poor-performing samples are located in unfavorable locations, it is recommended to move these poor-performing insect houses to more suitable locations. The environmental feature data of the optimized samples can be analyzed by clustering algorithms to generate high-density areas in the multi-dimensional feature space, and the geographic coordinates corresponding to the area are used as the preferred site selection range. If the optimized samples use a bamboo structure with a specific aperture combination that attracts target insects, it is recommended to replace the structure of the poor-performing samples to make them consistent with the optimized samples. For example, if the optimized samples mainly attract honeybee-like insects, honeycomb-like structures can be added to the insect house. If the optimized samples use a certain specific material (such as treated weather-resistant wood), and the poor-performing samples use a different material, it is recommended to replace the material. For example: if the insects in the optimized samples prefer wooden materials, the main body of the insect house can be made of local tree species wood; if it is found that insects prefer the branches and leaves of a specific plant, these plant materials can be used as decorations or fillers for the insect house.

[0143] This embodiment is based on actual monitoring data to optimize insect houses in a targeted manner, improving the attractiveness and suitability of insect houses for target insects; by selecting the best-performing insect houses as samples, it can quickly identify environmental features and design elements that are conducive to ecological restoration, and apply these experiences to the adjustment of other insect houses, which can improve the overall ecological restoration effect. In addition, adjusting the structure and material according to the insect species can better meet the ecological needs of different insects and promote the recovery of insect diversity. This data-driven and continuously optimized method can make the mangrove ecological restoration process more accurate and efficient.

[0144] The embodiment of the application sets up multiple insect houses according to the geographical environment and biological activity frequency of the mangrove forest restoration area, and internally installs a panoramic monitoring module; collects biological data such as insect species, quantity, and activity trajectory, and environmental data such as temperature, humidity, water quality, soil, and air through the panoramic monitoring module; performs in-depth analysis on the collected data, evaluates the ecological restoration effect of the insect house, and identifies key environmental factors affecting the effect; obtains an ecological restoration evaluation result according to the analysis result, and judges whether the preset condition is met; if the evaluation result does not meet the preset condition, the setting scheme of the insect house is adjusted according to the evaluation result and environmental characteristics, and the data collection and analysis process is repeated until the expected restoration effect is achieved. The embodiment of the application actively introduces and gathers beneficial insects into the mangrove forest ecosystem by setting up insect houses, provides food sources for higher trophic level organisms such as birds, and promotes the rapid formation and stability of the ecological chain; integrates the panoramic monitoring module and the cloud platform to realize real-time, automatic, and large-scale monitoring of insects, bird activities, and environmental factors, improve the efficiency and accuracy of data acquisition, and realize intelligent evaluation of the ecological restoration effect; based on real-time monitoring data and analysis results, problems in the restoration process can be found in time, and the setting scheme of the insect house can be adjusted accordingly, forming a closed-loop feedback mechanism of “monitoring-evaluation-adjustment”, making the restoration process more refined and scientific, and improving the restoration efficiency and success rate; the monitoring data and analysis results can be used as effective evidence to evaluate the role of the insect house in mangrove forest restoration, provide data support for subsequent larger-scale popularization and application, and facilitate project management and effect display; by attracting and maintaining a diverse insect and bird community, the biological diversity level of the mangrove forest ecosystem is directly improved; a synergistic mechanism of insect habitat and intelligent monitoring system is established, a dynamic optimization model based on data driving is established through real-time acquisition of biological activity data and environmental parameters, the limitation of traditional restoration methods focusing only on plant communities is broken through, and the animal community and plant community of the mangrove forest ecosystem are restored coordinately.

[0145] The embodiment of the application also provides a mangrove forest ecological restoration system, which comprises a cloud platform, an insect house, and a processor, the insect house comprises a panoramic monitoring module, and the panoramic monitoring module comprises a biological monitoring module and an environmental monitoring module.

[0146] The processor is used for performing the following steps: setting multiple insect houses in a mangrove forest restoration area;

[0147] The cloud platform is used for acquiring biological detection data and environmental detection data collected by the panoramic monitoring module in each insect house;

[0148] The biological detection data and the environmental detection data collected are analyzed to obtain an ecological restoration evaluation result;

[0149] If the ecological restoration evaluation result does not satisfy the preset condition, the setting scheme of the insect house is adjusted according to the ecological restoration evaluation result, and the step of acquiring the biological detection data and the environmental detection data collected by the panoramic monitoring module in each insect house through the cloud platform is executed until the ecological restoration evaluation result obtained satisfies the preset condition, wherein the setting scheme includes at least one of the site selection of the insect house, the structure of the insect house, and the material of the insect house.

[0150] The specific embodiment of the mangrove ecological restoration system is basically the same as the specific embodiment of the above-mentioned mangrove ecological restoration method, and will not be repeated here.

[0151] Please refer to Figure 2 The embodiment of the present application also provides a mangrove ecological restoration device 500, which can realize the above-mentioned mangrove ecological restoration method. The mangrove ecological restoration device 500 comprises:

[0152] The setting module 10 is configured to set a plurality of insect houses in the mangrove restoration area.

[0153] The acquisition module 20 is configured to acquire biological detection data and environmental detection data collected by the panoramic monitoring module in each insect house through the cloud platform.

[0154] The analysis module 30 is configured to analyze the collected biological detection data and environmental detection data to obtain an ecological restoration evaluation result.

[0155] The adjustment module 40 is configured to adjust the setting scheme of the insect house according to the ecological restoration evaluation result if the ecological restoration evaluation result does not satisfy the preset condition, and jump to the step of acquiring the biological detection data and the environmental detection data collected by the panoramic monitoring module in each insect house through the cloud platform for execution until the ecological restoration evaluation result obtained satisfies the preset condition, wherein the setting scheme includes at least one of the site selection of the insect house, the structure of the insect house, and the material of the insect house.

[0156] In some embodiments, the setting module 10 can include:

[0157] The first setting sub-module is configured to set a plurality of insect houses according to different geographical environments and biological activity frequencies of the mangrove restoration area.

[0158] The second setting sub-module is configured to set a panoramic monitoring module in each of the insect houses, the panoramic monitoring module comprising a biological monitoring module and an environmental monitoring module, the biological monitoring module being configured to collect the biological detection data, and the environmental monitoring module being configured to collect the environmental detection data; the biological monitoring module comprises a camera and a radar, and the environmental monitoring module comprises a temperature sensor, a humidity sensor, a water quality sensor, a soil sensor, and an air sensor.

[0159] In some embodiments, the acquisition module 20 can comprise:

[0160] A first acquisition sub-module configured to detect and acquire the activity trajectory of the biological through the radar;

[0161] A second acquisition sub-module configured to acquire the video of the biological activity through the camera when the radar detects the biological activity;

[0162] A third acquisition sub-module configured to acquire the temperature in the insect house through the temperature sensor;

[0163] A fourth acquisition sub-module configured to acquire the humidity in the insect house through the humidity sensor;

[0164] A fifth acquisition sub-module configured to acquire the water quality environmental data of the insect house through the water quality sensor, the water quality environmental data comprising the water quality pH value, salinity, and dissolved oxygen concentration in the water quality environment where the insect house is located;

[0165] A sixth acquisition sub-module configured to acquire the soil environmental data of the insect house through the soil sensor, the soil environmental data comprising the soil pH value, heavy metal content, and organic matter content in the soil environment where the insect house is located;

[0166] A seventh acquisition sub-module configured to acquire the air environmental data in the insect house through the air sensor, the air environmental data comprising the carbon dioxide concentration, methane concentration, and fine particulate matter concentration in the insect house.

[0167] In some embodiments, the analysis module 30 can comprise:

[0168] A first analysis sub-module configured to analyze the biological detection data for each of the insect houses to obtain the species, quantity, and activity trajectory of the insects attracted by the insect house, and the species and predation frequency of the birds attracted by the insects in the detection period;

[0169] a second analysis submodule configured to analyze the environmental detection data to obtain temperature variation, humidity variation, water quality environmental data, soil environmental data, and air environmental data of the insect house in a detection period;

[0170] a third analysis submodule configured to analyze the species, quantity, and activity trajectory of the insects, and the species and predation frequency of the birds to obtain an ecological restoration effect of the insect house;

[0171] a fourth analysis submodule configured to analyze the temperature variation, humidity variation, water quality environmental data, soil environmental data, air environmental data, and ecological restoration effect of the insect house to obtain an influence of each environmental feature on the ecological restoration effect of the insect house, wherein the environmental features include temperature, humidity, water quality pH, salinity, dissolved oxygen concentration, soil pH, heavy metal content, and organic matter content, carbon dioxide concentration, methane concentration, and fine particulate matter concentration;

[0172] a fifth analysis submodule configured to obtain an ecological restoration evaluation sub-result according to the ecological restoration effect of the insect house and the influence of the environmental features on the ecological restoration effect of the insect house;

[0173] a sixth analysis submodule configured to obtain an ecological restoration evaluation result according to the ecological restoration evaluation sub-result of each insect house.

[0174] In some embodiments, the third analysis submodule can include:

[0175] a first analysis unit configured to analyze the activity trajectory of the organisms to obtain an activity range and behavior pattern of the insects in the insect house in the detection period;

[0176] a calculation unit configured to calculate a community structure and diversity variation of the insects in the insect house according to the species, quantity, activity range, and behavior pattern of the insects;

[0177] a second analysis unit configured to analyze a predation relationship between different species of insects and birds according to the species, quantity of the insects, and the species and predation frequency of the birds to obtain an influence of the insect house on a food chain;

[0178] an evaluation unit configured to evaluate the community structure and diversity variation of the insects in the insect house, and the influence of the insect house on the food chain to obtain an ecological restoration effect of the insect house.

[0179] In some embodiments, the fourth analysis submodule can include:

[0180] A construction unit is configured to analyze the correlation between the environment features and the ecological restoration effect, and construct a correlation model of the environment features and the ecological restoration effect.

[0181] A prediction unit is configured to predict the influence of each environment feature on the ecological restoration effect of the insect house according to the correlation model.

[0182] In some embodiments, the adjustment module 40 can include:

[0183] A comparison sub-module is configured to compare the ecological restoration evaluation sub-results of a plurality of insect houses, select the top N insect houses in terms of ecological restoration effect as optimization samples, and N is a positive integer.

[0184] A first adjustment sub-module is configured to adjust the site selection of the insect house according to a plurality of environment features corresponding to the N optimization samples.

[0185] A second adjustment sub-module is configured to adjust the structure and the material of the insect house according to the insect species in the N optimization samples.

[0186] The specific embodiments of the mangrove ecological restoration device are basically the same as the specific embodiments of the above-mentioned mangrove ecological restoration method, and will not be repeated here.

[0187] The embodiments of the present application also provide an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the above-mentioned mangrove ecological restoration method. The electronic device can be any smart terminal including a tablet computer, a vehicle-mounted computer, etc.

[0188] Please refer to Figure 3 , Figure 3 The hardware structure of the electronic device of another embodiment is illustrated, which includes:

[0189] The processor 601 can be implemented in a general-purpose central processing unit (CPU), a microprocessor, an application specific integrated circuit (ASIC), or one or more integrated circuits, etc., and is used to execute related programs to implement the technical solutions provided by the embodiments of the present application.

[0190] The memory 602 can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM), etc. The memory 602 can store an operating system and other application programs. When the technical solutions provided by the embodiments of the present specification are implemented by software or firmware, the related program codes are stored in the memory 602 and are called and executed by the processor 601 to implement the mangrove ecological restoration method of the embodiments of the present application;

[0191] The input / output interface 603 is configured to realize information input and output.

[0192] The communication interface 604 is configured to realize the communication interaction between the device and other devices. The communication can be realized by a wired manner (for example, a USB, a network cable, etc.) or a wireless manner (for example, a mobile network, WIFI, Bluetooth, etc.).

[0193] The bus 605 is configured to transmit information between various components (for example, the processor 601, the memory 602, the input / output interface 603, and the communication interface 604) of the device.

[0194] The processor 601, the memory 602, the input / output interface 603, and the communication interface 604 are connected to each other through the bus 605 to realize the communication connection between the device.

[0195] The embodiments of the present application also provide a computer readable storage medium, which stores a computer program. The computer program is executed by a processor to implement the above-mentioned mangrove ecological restoration method.

[0196] The memory is a non-transitory computer readable storage medium, which can be used to store non-transitory software programs and non-transitory computer executable programs. In addition, the memory can include a high-speed random access memory and can also include a non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state memory device. In some embodiments, the memory can optionally include a memory remotely arranged relative to the processor. These remote memories can be connected to the processor through a network. Examples of the above-mentioned network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof.

[0197] The mangrove ecological restoration method, the mangrove ecological restoration device, the electronic device and the storage medium provided by the embodiments of the present application set up a plurality of insect houses in the mangrove restoration area, and obtain data collected by a panoramic monitoring module in each insect house through a cloud platform. The collected data is analyzed to obtain an ecological restoration evaluation result; if the evaluation result does not meet a preset condition, the setting scheme of the insect house is adjusted according to the evaluation result, including at least one of the site selection, structure and material of the insect house; the data is reacquired and analyzed after the adjustment until the evaluation result meets the preset condition. The present application sets up the insect house equipped with the panoramic monitoring module in the mangrove restoration area, collects biological and environmental data in real time and analyzes and evaluates, dynamically adjusts the setting scheme of the insect house according to the evaluation result, solves the problem that the traditional method ignores the insect community and causes incomplete ecological chain, realizes ecological restoration effect evaluation and strategy optimization through dynamic monitoring of the insect community and its environmental data, and improves the overall stability of the mangrove ecological system.

[0198] The embodiments described in the embodiments of the present application are used to more clearly illustrate the technical solutions of the embodiments of the present application, and do not constitute a limitation on the technical solutions provided by the embodiments of the present application. Those skilled in the art can know that, with the evolution of technology and the appearance of new application scenarios, the technical solutions provided by the embodiments of the present application are also applicable to similar technical problems.

[0199] Those skilled in the art can understand that the technical solutions shown in the figures do not constitute a limitation on the embodiments of the present application, and can include more or fewer steps than the figures shown, or combine certain steps or different steps.

[0200] The device embodiments described above are only schematic, and the units illustrated as separate components can or can not be physically separated, that is, can be located in one place or distributed on multiple network units. Part or all of the modules can be selected according to actual needs to achieve the purpose of the embodiments of the present application.

[0201] Those skilled in the art can understand that all or some steps in the above disclosed method, the functions of the modules / units in the system and the device can be implemented as software, firmware, hardware and their appropriate combinations.

[0202] The terms "first", "second", "third", "fourth", and the like in the description and in the claims of this application, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the use of the terms so termed is interchangeable under appropriate circumstances such that the embodiments of the application described herein are, for example, capable of orderly or chronological mundane operation, reverse order operation, based on circuitry availability, based on stated preference or the like, and that "default" or other orderings are thus permissible. Further, the terms "comprise", "comprising", "include", "including", and the like, are specifically intended to be open-ended. That is, references to individual steps and the like do not suhstantially exclude the presence of two or more of a recited step or its integral sub-steps or additional steps whether or not readily ascertainable from the description or the like. Further, the words "a" or "an", as used herein in the disclosure and elsewhere, are used indiscriminately and are to be interpreted in the same way, i.e. as meaning "one or more".

[0203] It should be understood that, in this application, "at least one" means one or more, "multiple" means two or more. "And / or" is used to describe the relationship between associated objects, which means that there can be three relationships, for example, "A and / or B" can mean that there are only A, only B, and A and B at the same time. The character " / " generally represents an "or" relationship between the associated objects. "At least one of the following" or the like means any combination of these items, including any combination of single or multiple items. For example, at least one of a, b or c can mean a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0204] In several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of the above units is only a logical function division, and actual implementation can have another division manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be omitted or not executed. In addition, the coupling or direct coupling or communication connection between the displayed or discussed objects can be indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0205] The units described above as separate components can or can not be physically separated, and the components shown as units can or can not be physical units, i.e. they can be located in one place or distributed on a plurality of network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment scheme.

[0206] In addition, each function unit in each embodiment of the present application can be integrated in one processing unit, or each unit can be physically present separately, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software function unit.

[0207] If the integrated unit is realized in the form of a software function unit and sold or used as an independent product, it can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application, essentially or in part, or all or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, and includes multiple instructions used to cause a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods in the embodiments of the present application. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various other media that can store programs.

[0208] The preferred embodiments of the embodiments of the present application are described above with reference to the accompanying drawings, and are not intended to limit the scope of the embodiments of the present application. Any modifications, equivalent replacements and improvements made by those skilled in the art without departing from the scope and essence of the embodiments of the present application shall be within the scope of the embodiments of the present application.

Claims

1. A method for mangrove ecological restoration, characterized in that, The application is applied to a mangrove ecological restoration system, the mangrove ecological restoration system comprises a cloud platform and an insect house, the insect house comprises a panoramic monitoring module, the panoramic monitoring module in the insect house is in communication connection with the cloud platform, and the method comprises the following steps: A plurality of insect houses are arranged in a mangrove restoration area; Biological detection data and environmental detection data collected by the panoramic monitoring module in each insect house are acquired through the cloud platform; The collected biological detection data and environmental detection data are analyzed to obtain an ecological restoration evaluation result; If the ecological restoration evaluation result does not meet a preset condition, the setting scheme of the insect house is adjusted according to the ecological restoration evaluation result, and the step of acquiring the biological detection data and the environmental detection data collected by the panoramic monitoring module in each insect house through the cloud platform is executed until the ecological restoration evaluation result meets the preset condition, wherein the setting scheme comprises at least one of site selection, structure and material of the insect house.

2. The method of claim 1, wherein, The plurality of insect houses arranged in the mangrove restoration area comprises: A plurality of insect houses are arranged according to different geographical environments and biological activity frequencies of the mangrove restoration area; A panoramic monitoring module is arranged in each insect house, the panoramic monitoring module comprises a biological monitoring module and an environmental monitoring module, the biological monitoring module is used for collecting the biological detection data, and the environmental monitoring module is used for collecting the environmental detection data.

3. The method of claim 1, wherein, The biological monitoring module comprises a camera and a radar, and the environmental monitoring module comprises a temperature sensor, a humidity sensor, a water quality sensor, a soil sensor and an air sensor; The biological detection data and the environmental detection data collected by the panoramic monitoring module in each insect house are acquired through the cloud platform, which comprises the following steps: The activity track of a biological is detected and collected through the radar; In the case that the radar detects biological activity, the image of biological activity is collected through the camera; The temperature in the insect house is collected through the temperature sensor; The humidity in the insect house is collected through the humidity sensor; Water quality environmental data of the insect house is collected through the water quality sensor, the water quality environmental data comprises water quality pH value, salinity and dissolved oxygen concentration in the water quality environment where the insect house is located; Soil environmental data of the insect house is collected through the soil sensor, the soil environmental data comprises soil pH value, heavy metal content and organic matter content in the soil environment where the insect house is located; Air environmental data in the insect house is collected through the air sensor, the air environmental data comprises carbon dioxide concentration, methane concentration and fine particulate matter concentration in the insect house.

4. The method of claim 3, wherein, The collected biological detection data and environmental detection data are analyzed to obtain an ecological restoration evaluation result, which comprises the following steps: For the biological detection data and the environmental detection data collected by each insect house, the biological detection data are analyzed to obtain the species, quantity and activity track of insects attracted by the insect house in a detection period, and the species and predation frequency of birds attracted by the insects; and analyze the environment detection data to obtain temperature variation, humidity variation, water quality environment data, soil environment data, and air environment data of the insect house in a detection period; and analyze the species, quantity, and activity trajectory of the insects, and the species and predation frequency of the birds to obtain the ecological restoration effect of the insect house; and analyze the temperature variation, humidity variation, water quality environment data, soil environment data, air environment data, and ecological restoration effect of the insect house to obtain the influence of each environment feature on the ecological restoration effect of the insect house, wherein the environment features include temperature, humidity, water quality pH, salinity, dissolved oxygen concentration, soil pH, heavy metal content, and organic matter content, carbon dioxide concentration, methane concentration, and fine particulate matter concentration; and obtain an ecological restoration evaluation sub-result based on the ecological restoration effect of the insect house and the influence of the environment features on the ecological restoration effect of the insect house; obtain the ecological restoration evaluation result based on the ecological restoration evaluation sub-result of each insect house.

5. The method of claim 4, wherein, The analysis of the species, quantity, and activity trajectory of the insects, and the species and predation frequency of the birds to obtain the ecological restoration effect of the insect house includes: analyzing the activity trajectory of the organisms to obtain the activity range and behavior pattern of the insects in the insect house in a detection period; calculating the community structure and diversity variation of the insects in the insect house based on the species, quantity, activity range, and behavior pattern of the insects; analyzing the predation relationship between different species of insects and birds based on the species, quantity of the insects, and the species and predation frequency of the birds to obtain the influence of the insect house on the food chain; evaluating the community structure and diversity variation of the insects in the insect house and the influence of the insect house on the food chain to obtain the ecological restoration effect of the insect house.

6. The method of claim 4, wherein, The analysis of the temperature variation, humidity variation, water quality environment data, soil environment data, air environment data, and ecological restoration effect of the insect house to obtain the influence of each environment feature on the ecological restoration effect of the insect house includes: performing correlation analysis on the environment features and the ecological restoration effect, and constructing a correlation model of the environment features and the ecological restoration effect; predicting the influence of each environment feature on the ecological restoration effect of the insect house based on the correlation model.

7. The method of claim 4, wherein, The adjustment of the setting scheme of the insect house based on the ecological restoration evaluation result includes: comparing the ecological restoration evaluation sub-results of multiple insect houses, selecting the top N insect houses in terms of ecological restoration effect as optimization samples, N being a positive integer; adjusting the site selection of the insect house based on the environment features corresponding to the N optimization samples; adjusting the structure and material of the insect house based on the insect species in the N optimization samples.

8. A mangrove ecological restoration system characterized in that, The mangrove forest ecological restoration system comprises a cloud platform, an insect house and a processor, the insect house comprises a panoramic monitoring module, the panoramic monitoring module comprises a biological monitoring module and an environmental monitoring module; The processor is configured to execute: setting a plurality of the insect houses in a mangrove forest restoration area; The cloud platform is configured to acquire biological detection data and environmental detection data collected by the panoramic monitoring module in each of the insect houses; The biological detection data and the environmental detection data collected are analyzed to obtain an ecological restoration evaluation result; If the ecological restoration evaluation result does not meet a preset condition, the setting scheme of the insect house is adjusted according to the ecological restoration evaluation result, and the step of acquiring the biological detection data and the environmental detection data collected by the panoramic monitoring module in each of the insect houses through the cloud platform is executed until the ecological restoration evaluation result meets the preset condition, wherein the setting scheme comprises at least one of insect house site selection, insect house structure and insect house material.

9. An electronic device, comprising: The electronic device comprises a memory and a processor, the memory stores a computer program, and the processor executes the computer program to implement the mangrove forest ecological restoration method of any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, the computer program comprising instructions that, when executed by a computer, cause the computer to perform the method of any one of claims 1 to 9. The computer program is executed by the processor to implement the mangrove forest ecological restoration method of any one of claims 1 to 7.

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