A method and system for multi-plant ecological restoration of water bodies

Abstract

The present application discloses a method and system for multi-plant ecological restoration of water bodies, the method comprising detecting whether the water body to be tested has different functions, if so, dividing the area according to the function to obtain the water body area division result, if not, analyzing the area division index Q based on the water capacity information and pollutant information, dividing the water body to be tested according to the area division index Q to obtain the water body area division result; analyzing the plants suitable for ecological restoration of the water body to be tested based on the pollutant information of the water body to be tested to obtain a plant pre-screening database, analyzing whether each plant in the plant pre-screening database is a native plant of the water body to be tested, if not, screening according to the climate similarity between the suitable survival area of ​​each plant and the area where the water body to be tested is located to obtain a plant second screening database, and screening according to the plant adaptability information and plant stress resistance information of each plant in the plant second screening database to obtain a plant selection database. The present application has the effect of improving the efficiency of multi-plant ecological restoration of water bodies.

Description

Technical Field

[0001] The present application relates to the field of ecological restoration technology, and in particular to a method and system for multi-plant ecological restoration of water bodies. Background Art

[0002] Water body multi-plant ecological restoration in water body ecological restoration is an environmentally friendly technology that uses aquatic plants to repair and purify polluted or degraded water bodies. It has low cost, low energy consumption and significant effects on improving the ecological environment.

[0003] The existing method of multi-plant ecological restoration of water bodies refers to the ecological floating island restoration method, which is to build artificial floating islands on the water surface, plant aquatic plants on the floating islands, and use the plant roots to absorb nutrients and harmful substances in the water to achieve the purpose of purifying water quality. However, the existing method of multi-plant ecological restoration of water bodies does not take into account the optimal choice of plant varieties and the number of plants planted, resulting in low efficiency of multi-plant ecological restoration of water bodies, and there is room for improvement. Summary of the invention

[0004] In order to improve the efficiency of multi-plant ecological restoration of water bodies, the present application provides a method and system for multi-plant ecological restoration of water bodies.

[0005] In the first aspect, the present application provides a method for multi-plant ecological restoration of water bodies, which adopts the following technical scheme:

[0006] A method for multi-plant ecological restoration of a water body comprises the following steps:

[0007] Detect whether the water body to be tested has different functions. If so, divide the water body into different areas according to the different functions to be tested to obtain the water body area division result. If not, analyze the water capacity information and pollutant information of the water body to be tested to obtain the area division index Q. Divide the water body to be tested into different areas according to the area division index Q to obtain the water body area division result.

[0008] Based on the pollutant information of the water body to be tested, plants suitable for ecological restoration of the water body to be tested are analyzed to obtain a plant pre-screening database, and each plant in the plant pre-screening database is analyzed to determine whether it is a native plant of the water body to be tested. If not, further screening is performed based on the climate similarity between the suitable survival area of ​​each plant in the plant pre-screening database and the area where the water body to be tested is located to obtain a plant second screening database, and further screening is performed based on the plant adaptability information and plant stress resistance information of each plant in the plant second screening database to obtain a plant selection database;

[0009] Based on the results of water body area division, the competition relationship between each plant in the plant selection database and the original plants in each area of ​​the water body to be tested is analyzed to obtain the plant competition relationship coefficient BZ, and the feeding relationship between the existing animals in each area of ​​the water body to be tested and each plant in the plant selection database is analyzed to obtain the animal feeding relationship coefficient BJ. According to the plant competition relationship coefficient BZ and the animal feeding relationship coefficient BJ, the biological interaction influence coefficient X is obtained;

[0010] According to the cost and propagation speed of each plant in the plant selection database, the plant's own suitability coefficient CZ is obtained;

[0011] The plant's own suitability coefficient CZ and the biological interaction influence coefficient X are comprehensively used to analyze the suitability of each plant in the plant selection database for planting in each area of ​​the water body to be tested to obtain the plant planting suitability coefficient W, and the optimal planting plants in each area of ​​the water body to be tested are selected according to the plant planting suitability coefficient W;

[0012] Based on the water body area division results, the water flow velocity and pollution density of each area are detected to determine the growth and reproduction loss of the optimal planting plants in each area of ​​the tested water body, and the plant growth loss coefficient OST is obtained. The regional planting loss information of each area is calculated according to the plant growth loss coefficient OST. The regional water capacity information is detected according to the water body area division results, and then the regional planting demand information of each area is analyzed. According to the regional planting loss information and regional planting demand information of each area, the planting quantity of the optimal planting plants in each area is determined to determine the regional planting quantity information;

[0013] Based on the optimal planting plants and regional planting quantity information in each area of ​​the water body to be tested, plants are laid in each area of ​​the water body to be tested, and real-time detection is carried out to see if there are any abnormalities in the plant growth in each area of ​​the water body to be tested. If there are any abnormalities, the abnormal area is located and sent to the remote user end.

[0014] Preferably, it is detected whether the water body to be tested has different functions, if different functions exist, the water body is divided into regions according to the different functions to obtain a water body region division result, if different functions do not exist, a regional planning signal is output;

[0015] After receiving the regional planning signal, the water capacity information of the water body to be measured is obtained, and the water capacity division influence coefficient AH is obtained based on the water capacity information; wherein, the larger the water capacity of the water body to be measured, the larger the water capacity division influence coefficient AH;

[0016] Obtaining pollutant information of the water body to be tested, wherein the pollutant information includes pollutant type information and pollutant density information;

[0017] The pollutant type classification influence coefficient AZ is obtained according to the pollutant type information, wherein the more pollutant types there are in the water body to be tested, the greater the pollutant type classification influence coefficient AZ is;

[0018] The pollutant density division influence coefficient AM is obtained according to the pollutant density information, wherein the higher the pollutant density of the water body to be tested is, the greater the pollutant density division influence coefficient AM is;

[0019] The comprehensive water capacity division influence coefficient AH, pollutant type division influence coefficient AZ and pollutant density division influence coefficient AM are based on the regional division function. The regional division index Q is calculated, where a1, a2, and a3 are proportional factors and are all greater than 0;

[0020] The water body to be tested is evenly divided into regions according to the region division index Q to obtain a water body region division result, wherein the larger the region division index Q is, the larger the volume of each region in the water body region division result is.

[0021] Preferably, a plant pollutant impact data table is obtained, in which each plant in the plant pollutant impact data table has the ability to treat pollutants under different pollutant environments, and if so, the degree of treatment of each plant for different pollutants is marked;

[0022] According to the pollutant type information in the pollutant information of the water body to be tested, based on the pollutant type information, a search is performed in the plant pollutant impact data table to screen out plants that have the ability to treat pollutants in the water body to be tested to obtain a plant pre-screening database;

[0023] Determine whether each plant in the plant pre-screening database is a native plant of the water body to be tested. If it is not a native plant of the water body to be tested, analyze the similarity between the climate of the suitable survival area of ​​each plant and the area where the water body to be tested is located to obtain climate similarity, and screen and remove plants with climate similarity greater than the climate similarity threshold in the plant pre-screening database to obtain a plant second screening database;

[0024] Obtain plant adaptability information and plant stress resistance information of each plant in the plant second screening database;

[0025] Compare the plant adaptability information of each plant in the plant second screening database with a preset plant adaptability threshold, and if the plant adaptability information is less than the preset plant adaptability threshold, mark it as a plant with poor adaptability;

[0026] Compare the plant stress resistance information of each plant in the plant second screening database with the preset plant stress resistance threshold value. If the plant stress resistance information is less than the preset plant stress resistance threshold value, it is marked as a plant with poor stress resistance;

[0027] Plants with plant markers of poor adaptability or poor stress resistance in the plant second screening database are screened and removed to obtain a plant selection database.

[0028] Preferably, based on the water body area division result, existing plants in normal growth and reproduction in each area of ​​the water body to be tested are collected to obtain existing normal plant information in the area;

[0029] Obtaining a plant competition relationship table, wherein the plant competition relationship table includes whether there is a competition relationship between different plants and the degree of competition;

[0030] Based on the plant competition relationship table, find out whether there is a competition relationship between the existing normal plant information in each area and the plants in the plant selection database. If there is a competition relationship, the plant competition relationship coefficient BZ is obtained based on the degree of competition; the higher the degree of competition between the existing normal plant information in each area and the plants in the plant selection database, the greater the plant competition relationship coefficient BZ;

[0031] Detecting the existing animals in normal growth state in each area of ​​the water body to be tested to obtain the information of the existing normal animals in the area;

[0032] Obtaining an animal food raw material table, wherein the animal food raw material table includes a food table of each animal in the existing normal animal information in the area and the eating willingness of each food;

[0033] Based on the animal feeding raw material table, find out whether there is a feeding relationship between the existing normal animal information in the area and the plants in the plant selection database. If there is a feeding relationship, the animal feeding relationship coefficient BJ is obtained based on the existing normal animal information in the area and the feeding willingness of each plant in the plant selection database;

[0034] Comprehensive plant competition coefficient BZ and animal feeding coefficient BJ, based on biological interaction function The biological interaction influence coefficient X is calculated, where b1 and b2 are proportional factors and are greater than 0.

[0035] Preferably, obtaining planting cost information of each plant in the plant selection database;

[0036] Based on the planting cost information of each plant in the plant selection database, the influence of the planting cost of each plant in the plant selection database on whether the plant is suitable for planting is analyzed to obtain the cost influence coefficient CZ;

[0037] The reproduction rate threshold is pre-set according to the biological interaction influence coefficient X;

[0038] Obtaining the propagation rate information of each plant in the plant selection database;

[0039] Compare the propagation speed information of each plant in the plant selection database with the propagation speed threshold and analyze the propagation speed influence coefficient CF. If the propagation speed information of each plant is consistent with the propagation speed threshold, the propagation speed influence coefficient CF is the smallest. If the propagation speed information of each plant is inconsistent with the propagation speed threshold, calculate the difference. The larger the difference, the larger the propagation speed influence coefficient CF.

[0040] According to the cost impact coefficient CZ and the reproduction speed impact coefficient CF, based on the plant's own impact function The plant's own suitability coefficient Y is calculated, where c1 and c2 are proportional factors and are both greater than 0.

[0041] Preferably, based on the biological interaction influence coefficient X and the plant's own suitability coefficient Y, the regional plant suitability function The suitability of each plant in the plant selection database for planting in each area of ​​the water body to be tested is calculated, that is, the plant planting suitability coefficient W of each area for each plant, where: , is the proportional factor and is greater than 0;

[0042] The optimal planting plants in each area of ​​the water body to be tested are selected according to the plant planting suitability coefficient W, that is, in each area of ​​the water body to be tested, the plant with the largest plant planting suitability coefficient W is the optimal planting plant in the area.

[0043] Preferably, the water flow velocity of each area of ​​the water body to be measured is detected based on the water body area division result to obtain regional water flow velocity information;

[0044] According to the regional water flow velocity information, the water flow velocity in each area of ​​the water body to be tested is analyzed to determine the growth and reproduction loss of the optimal plant in each area of ​​the water body to be tested, and the velocity loss influence coefficient DL is obtained;

[0045] Based on the water body area division results, the pollution density of each area of ​​the water body to be tested is detected to obtain regional pollution severity information;

[0046] According to the regional pollution severity information, the pollution situation in each area of ​​the water body to be tested affects the growth and reproduction loss of the optimal planting plants in each area of ​​the water body to be tested, and the pollution loss influence coefficient DW is obtained;

[0047] According to the velocity loss influence coefficient DL and the pollution loss influence coefficient DW, based on the growth loss function The plant growth loss coefficient OST of each area of ​​the water body to be tested is calculated, where , is the scale factor and is greater than 0;

[0048] According to the plant growth loss coefficient OST of each area of ​​the water body to be tested, the growth loss of the optimal planting plants in each area of ​​the water body to be tested is calculated to obtain the regional planting loss information of each area;

[0049] Based on the water body area division result, the water capacity of each area of ​​the water body to be tested is detected to obtain regional water capacity information;

[0050] Based on the regional water capacity information, the optimal planting plants in each area of ​​the water body to be tested are analyzed to obtain the regional planting demand information of each area;

[0051] According to the regional planting loss information of each area of ​​the water body to be tested and the regional planting demand information of each area, the planting quantity of the optimal planting plants in each area of ​​the water body to be tested is determined to obtain the regional planting quantity information.

[0052] Preferably, the planting bed size of each area is set based on the optimal planting plants and regional planting quantity information of each area of ​​the water body to be tested to obtain regional planting bed size information, and the planting beds of each area of ​​the water body to be tested are installed based on the regional planting bed size information;

[0053] Planting and laying in each planting bed of the water body to be tested based on the optimal planting plants and regional planting quantity information in each area of ​​the water body to be tested;

[0054] Performing real-time detection on the growth rate of the optimal planting plants in each area of ​​the water body to be tested to obtain real-time plant growth rate information, comparing the real-time plant growth rate information with a preset plant growth threshold range to determine whether the growth of the optimal planting plants in each area is abnormal, if the real-time plant growth rate information is within the preset plant growth threshold range, then outputting normal plant growth information, if the real-time plant growth rate information exceeds the preset plant growth threshold range, then outputting abnormal plant growth information, and locating the area where the abnormal plant growth signal is output to obtain abnormal growth area position information;

[0055] If the optimal planted plant grows abnormally, the plant growth abnormality information and the abnormal growth area location information are sent to the remote user terminal based on the wireless communication module.

[0056] In the second aspect, the present application provides a water body multi-plant ecological restoration system, which adopts the following technical solution:

[0057] A water body multi-plant ecological restoration system, comprising:

[0058] A regional division module is used to detect whether the water body to be tested has different functions. If so, regional division is performed according to the different functions of the water body to be tested to obtain a water body regional division result. If not, regional division index Q is obtained based on analysis of water capacity information and pollutant information of the water body to be tested. The water body to be tested is regionally divided according to the regional division index Q to obtain a water body regional division result.

[0059] The plant screening module is configured to analyze plants suitable for ecological restoration of the water body to be tested based on the pollutant information of the water body to be tested to obtain a plant pre-screening database, analyze whether each plant in the plant pre-screening database is a native plant of the water body to be tested, and if not, further screen according to the climate similarity between the suitable survival area of ​​each plant in the plant pre-screening database and the area where the water body to be tested is located to obtain a plant second screening database, and further screen according to the plant adaptability information and plant stress resistance information of each plant in the plant second screening database to obtain a plant selection database;

[0060] The biological interaction analysis module is configured to analyze the competition relationship between each plant in the plant selection database and the original plants in each area of ​​the water body to be tested based on the water body area division result to obtain the plant competition relationship coefficient BZ, analyze the feeding relationship of existing animals in each area of ​​the water body to be tested to each plant in the plant selection database to obtain the animal feeding relationship coefficient BJ, and obtain the biological interaction influence coefficient X according to the plant competition relationship coefficient BZ and the animal feeding relationship coefficient BJ;

[0061] The plant self-suitability analysis module is used to obtain the plant self-suitability coefficient CZ according to the cost and reproduction speed of each plant in the plant selection database;

[0062] The regional suitable plant selection module is used to comprehensively analyze the suitability of each plant in the plant selection database for planting in each area of ​​the water body to be tested by combining the plant's own suitability coefficient CZ and the biological interaction influence coefficient X to obtain the plant planting suitability coefficient W, and select the optimal planting plants in each area of ​​the water body to be tested according to the plant planting suitability coefficient W;

[0063] The plant quantity analysis module is configured to detect the water flow velocity and pollution density of each area based on the water body area division result on the growth and reproduction loss of the optimal planting plants in each area of ​​the tested water body to obtain the plant growth loss coefficient OST, calculate the regional planting loss information of each area according to the plant growth loss coefficient OST, detect the regional water capacity information according to the water body area division result, and then analyze the regional planting demand information of each area, and determine the planting quantity of the optimal planting plants in each area according to the regional planting loss information and regional planting demand information of each area;

[0064] The plant laying detection module is configured to lay plants in each area of ​​the water body to be tested based on the optimal planting plants and regional planting quantity information in each area of ​​the water body to be tested, and to detect in real time whether there are any abnormalities in the growth of plants in each area of ​​the water body to be tested. If there are any abnormalities, the abnormal area will be located and sent to the remote user end.

[0065] In summary, the present application includes at least one of the following beneficial technical effects:

[0066] 1. By detecting whether the water body to be tested has different functions, if it does, the water body regional division result is obtained by regional division according to the function; if it does not, the regional division index Q is obtained according to the water capacity information of the water body to be tested and the pollutant information of the water body to be tested. The water body to be tested is regionally divided according to the regional division index Q to obtain the water body regional division result. The regional division of the water body to be tested improves the accuracy of the subsequent multi-plant ecological restoration of the water body to be tested, thereby improving the efficiency of the multi-plant ecological restoration of the water body to be tested;

[0067] 2. By collecting the existing normal plant information in each area of ​​the water body to be tested, the existing normal plant information in each area is searched according to the plant competition relationship table to see whether there is a competition relationship between the existing normal plant information in each area and the plants in the plant selection database. If so, the plant competition relationship coefficient BZ is obtained based on the degree of competition. The existing normal animal information in each area of ​​the water body to be tested is detected. According to the animal feeding raw material table, whether there is a feeding relationship between the existing normal animal information in the area and the plants in the plant selection database is searched. If so, the animal feeding relationship coefficient BJ is obtained based on the feeding willingness of each plant in the plant selection database based on the existing normal animal information in the area. The biological interaction influence coefficient X is obtained by combining the plant competition relationship coefficient BZ and the animal feeding relationship coefficient BJ, which improves the detection accuracy of the impact between each plant in the plant selection database and the existing animals and plants in the water body to be tested, thereby improving the efficiency of multi-plant ecological restoration in water bodies;

[0068] 3. With the help of regional water flow velocity information and regional pollution severity information, analyze the impact of water flow velocity and pollution conditions in each area of ​​the water body to be tested on the growth and reproduction loss of the optimal planting plants in each area of ​​the water body to be tested, and obtain the plant growth loss coefficient OST of each area of ​​the water body to be tested. Calculate the regional planting loss information of each area of ​​the water body to be tested based on the plant growth loss coefficient OST of each area of ​​the water body to be tested, and obtain the regional planting demand information of each area based on the regional water capacity information analysis. According to the regional planting loss information of each area of ​​the water body to be tested and the regional planting demand information of each area, obtain the regional planting quantity information, which improves the accuracy of calculating the plant planting quantity in each area of ​​the water body to be tested, thereby improving the efficiency of multi-plant ecological restoration of the water body to be tested. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] Figure 1This is a schematic diagram of the process of the multi-plant ecological restoration method for water bodies in this embodiment;

[0070] Figure 2 This is a schematic diagram of the modules of the water body multi-plant ecological restoration system mainly embodied in this embodiment.

[0071] Figure numerals: 1. Area division module; 2. Plant screening module; 3. Biological interaction analysis module; 4. Plant own suitability analysis module; 5. Regional suitable plant selection module; 6. Plant quantity analysis module; 7. Plant laying detection module. DETAILED DESCRIPTION

[0072] The present application is further described in detail below in conjunction with the accompanying drawings.

[0073] The embodiment of the present application discloses a method for multi-plant ecological restoration of a water body.

[0074] A method for multi-plant ecological restoration of a water body comprises the following steps:

[0075] Reference Figure 1 Step S1, detect whether the water body to be tested has different functions. If so, divide the water body into different areas according to the different functions to be tested to obtain the water body area division result. If not, analyze the water volume information and pollutant information of the water body to be tested to obtain the area division index Q. Divide the water body to be tested into different areas according to the area division index Q to obtain the water body area division result. Step S1 specifically includes the following sub-steps:

[0076] Step S11, detect whether the water body to be tested has different functions, if different functions exist, divide the water body into different areas according to the different functions of the water body to be tested to obtain the water body area division result, if different functions do not exist, output the area planning signal. In actual application, people divide water bodies into different functional areas, such as drinking water source protection area, industrial water area, agricultural irrigation area, landscape entertainment area, etc.

[0077] Step S12, after receiving the regional planning signal, obtain the water capacity information of the water body to be measured, and obtain the water capacity division influence coefficient AH based on the water capacity information. The larger the water capacity of the water body to be measured, the larger the water capacity division influence coefficient AH.

[0078] Step S13, obtaining pollutant information of the water body to be tested, the pollutant information includes pollutant type information and pollutant density information.

[0079] Step S14, obtaining the pollutant type classification influence coefficient AZ according to the pollutant type information, wherein the more pollutant types there are in the water body to be tested, the greater the pollutant type classification influence coefficient AZ is.

[0080] Step S15, obtaining the pollutant density classification influence coefficient AM according to the pollutant density information, wherein the higher the pollutant density of the water body to be tested is, the greater the pollutant density classification influence coefficient AM is.

[0081] Step S16, based on the regional division function, the water capacity division influence coefficient AH, the pollutant type division influence coefficient AZ and the pollutant density division influence coefficient AM are integrated. The regional division index Q is calculated, where a1, a2, and a3 are proportional factors and are all greater than 0.

[0082] Step S17, uniformly dividing the water body to be measured into regions according to the region division index Q to obtain a water body region division result, wherein the greater the region division index Q is, the greater the volume of each region in the water body region division result is.

[0083] In specific applications, by detecting whether the water body to be tested has different functions, if so, the water body regional division result is obtained by dividing the area according to the function; if not, the regional division index Q is obtained according to the water capacity information of the water body to be tested and the pollutant information of the water body to be tested. The water body to be tested is divided into regions according to the regional division index Q to obtain the water body regional division result. The regional division of the water body to be tested improves the accuracy of the subsequent multi-plant ecological restoration of the water body to be tested, thereby improving the efficiency of the multi-plant ecological restoration of the water body to be tested.

[0084] Reference Figure 1 , step S2, based on the pollutant information of the water body to be tested, analyze the plants suitable for ecological restoration of the water body to be tested to obtain a plant pre-screening database, analyze whether each plant in the plant pre-screening database is a native plant of the water body to be tested, if not, further screen according to the climate similarity between the suitable survival area of ​​each plant in the plant pre-screening database and the area where the water body to be tested is located to obtain a plant second screening database, and further screen according to the plant adaptability information and plant stress resistance information of each plant in the plant second screening database to obtain a plant selection database. Step S2 specifically includes the following sub-steps:

[0085] Step S21, obtaining a plant pollutant impact data table, in which each plant in the plant pollutant impact data table indicates whether it has the ability to treat pollutants in different pollutant environments. If it has the ability to treat pollutants, the degree of treatment of each plant for different pollutants is marked.

[0086] Step S22, according to the pollutant type information in the pollutant information of the water body to be tested, based on the pollutant type information, search in the plant pollutant impact data table, screen out plants that have the ability to treat pollutants in the water body to be tested to obtain a plant pre-screening database.

[0087] Step S23, determine whether each plant in the plant pre-screening database is a native plant of the water body to be tested. If it is not a native plant of the water body to be tested, analyze the similarity between the climate of the suitable survival area of ​​each plant and the area where the water body to be tested is located to obtain climate similarity, and screen and remove plants with climate similarity greater than the climate similarity threshold in the plant pre-screening database to obtain a plant second screening database.

[0088] Step S24, obtaining the plant adaptability information and plant stress resistance information of each plant in the plant second screening database.

[0089] Step S25, comparing the plant adaptability information of each plant in the plant second screening database with a preset plant adaptability threshold, if the plant adaptability information is less than the preset plant adaptability threshold, it is marked as a plant with poor adaptability.

[0090] Step S26, comparing the plant stress resistance information of each plant in the plant second screening database with a preset plant stress resistance threshold, if the plant stress resistance information is less than the preset plant stress resistance threshold, it is marked as a plant with poor stress resistance.

[0091] Step S27, screening and removing the plants with plant markers of poor adaptability or plant markers of poor stress resistance in the plant second screening database to obtain a plant selection database.

[0092] Reference Figure 1 , step S3, based on the water body area division result, analyze the competition relationship between each plant in the plant selection database and the original plants in each area of ​​the water body to be tested to obtain the plant competition relationship coefficient BZ, analyze the feeding relationship of existing animals in each area of ​​the water body to be tested to each plant in the plant selection database to obtain the animal feeding relationship coefficient BJ, and obtain the biological interaction influence coefficient X according to the plant competition relationship coefficient BZ and the animal feeding relationship coefficient BJ. Step S3 specifically includes the following sub-steps:

[0093] Step S31, based on the water body area division result, collect the existing plants in normal growth and reproduction in each area of ​​the water body to be tested to obtain the existing normal plant information in the area.

[0094] Step S32, obtaining a plant competition relationship table, wherein the plant competition relationship table includes whether there is a competition relationship between different plants and the degree of competition.

[0095] Step S33, based on the plant competition relationship table, find out whether there is a competition relationship between the existing normal plant information in each area and the plants in the plant selection database, and if there is a competition relationship, obtain the plant competition relationship coefficient BZ based on the degree of competition. The higher the degree of competition between the existing normal plant information in each area and the plants in the plant selection database, the greater the plant competition relationship coefficient BZ.

[0096] Step S34, detecting the existing animals in normal growth state in each area of ​​the water body to be detected to obtain the information of the existing normal animals in the area.

[0097] Step S35, obtaining an animal food raw material table, wherein the animal food raw material table includes a food table of each animal in the existing normal animal information in the area and the eating willingness of each food.

[0098] Step S36, based on the animal eating raw material table, find out whether there is a eating relationship between the normal animal information in the area and the plants in the plant selection database. If there is a eating relationship, the animal eating relationship coefficient BJ is obtained based on the eating willingness of each plant in the plant selection database based on the normal animal information in the area.

[0099] Step S37, integrating the plant competition coefficient BZ and the animal feeding coefficient BJ, based on the biological interaction function The biological interaction influence coefficient X is calculated, where b1 and b2 are proportional factors and are greater than 0.

[0100] In specific applications, by collecting the existing normal plant information in each area of ​​the water body to be tested, the plant competition relationship table is used to find out whether there is a competition relationship between the existing normal plant information in each area and the plants in the plant selection database. If so, the plant competition relationship coefficient BZ is obtained based on the degree of competition. The existing normal animal information in each area of ​​the water body to be tested is detected. The animal feeding raw material table is used to find out whether there is a feeding relationship between the existing normal animal information in the area and the plants in the plant selection database. If so, the animal feeding relationship coefficient BJ is obtained based on the feeding willingness of each plant in the plant selection database based on the existing normal animal information in the area. The biological interaction influence coefficient X is obtained by comprehensively considering the plant competition relationship coefficient BZ and the animal feeding relationship coefficient BJ, which improves the detection accuracy of the impact between each plant in the plant selection database and the existing animals and plants in the water body to be tested, thereby improving the efficiency of multi-plant ecological restoration in water bodies.

[0101] Reference Figure 1 , step S4, obtaining the plant's own suitability coefficient CZ according to the cost and propagation speed of each plant in the plant selection database. Step S4 specifically includes the following sub-steps:

[0102] Step S41, obtaining the planting cost information of each plant in the plant selection database, where the planting cost information includes plant price cost, plant transportation cost and plant maintenance cost.

[0103] Step S42: Analyze the influence of the planting cost of each plant in the plant selection database on whether the plant is suitable for planting based on the planting cost information of each plant in the plant selection database to obtain a cost influence coefficient CZ. The higher the planting cost of each plant in the plant selection database, the greater the cost influence coefficient CZ.

[0104] Step S43, presetting the reproduction speed threshold according to the biological interaction influence coefficient X. The greater the biological interaction influence coefficient X, the greater the reproduction speed threshold.

[0105] Step S44, obtaining the propagation rate information of each plant in the plant selection database.

[0106] Step S45, compare the reproduction speed information of each plant in the plant selection database with the reproduction speed threshold and analyze the reproduction speed influence coefficient CF. If the reproduction speed information of each plant is consistent with the reproduction speed threshold, the reproduction speed influence coefficient CF is the smallest. If the reproduction speed information of each plant is inconsistent with the reproduction speed threshold, the difference is calculated. The larger the difference, the larger the reproduction speed influence coefficient CF.

[0107] Step S46, based on the cost influence coefficient CZ and the propagation speed influence coefficient CF, based on the plant's own influence function The plant's own suitability coefficient Y is calculated, where c1 and c2 are proportional factors and are both greater than 0.

[0108] Reference Figure 1 , step S5, comprehensively analyzing the suitability of each plant in the plant selection database for planting in each area of ​​the water body to be tested by combining the plant's own suitability coefficient CZ and the biological interaction influence coefficient X to obtain the plant planting suitability coefficient W, and selecting the optimal planting plants in each area of ​​the water body to be tested according to the plant planting suitability coefficient W. Step S5 specifically includes the following sub-steps:

[0109] Step S51: Based on the biointeraction coefficient X and the plant's own suitability coefficient Y, the regional plant suitability function The suitability of each plant in the plant selection database for planting in each area of ​​the water body to be tested is calculated, that is, the plant planting suitability coefficient W of each area for each plant, where: , are scaling factors and are all greater than 0.

[0110] Step S52, selecting the optimal planting plants for each area of ​​the water body to be tested according to the plant planting suitability coefficient W, that is, in each area of ​​the water body to be tested, the plant with the largest plant planting suitability coefficient W is the optimal planting plant in the area.

[0111] Reference Figure 1, step S6, based on the water body area division result, detect the water flow velocity and pollution density of each area on the growth and reproduction loss of the optimal planting plants in each area of ​​the water body to be tested, and obtain the plant growth loss coefficient OST, calculate the regional planting loss information of each area according to the plant growth loss coefficient OST, detect the regional water capacity information according to the water body area division result, and then analyze the regional planting demand information of each area, and determine the regional planting quantity information of the optimal planting plants in each area according to the regional planting loss information and regional planting demand information of each area. Step S6 specifically includes the following sub-steps:

[0112] Step S61, based on the water body area division result, the water flow velocity of each area of ​​the water body to be measured is detected to obtain regional water flow velocity information.

[0113] Step S62, analyzing the influence of the water flow velocity in each area of ​​the water body to be tested on the growth and reproduction loss of the optimal plant in each area of ​​the water body to be tested according to the regional water flow velocity information to obtain the velocity loss influence coefficient DL. Among them, the faster the water flow velocity in each area of ​​the water body to be tested, the greater the influence on the growth and reproduction loss of the optimal plant in each area of ​​the water body to be tested, that is, the greater the velocity loss influence coefficient DL.

[0114] Step S63, based on the water body area division result, the pollution density of each area of ​​the water body to be tested is detected to obtain regional pollution severity information.

[0115] Step S64, according to the regional pollution severity information, the pollution conditions in each area of ​​the water body to be tested affect the growth and reproduction loss of the optimal plant in each area of ​​the water body to be tested, and obtain the pollution loss influence coefficient DW. Among them, the higher the pollution density in each area of ​​the water body to be tested, the greater the impact on the growth and reproduction loss of the optimal plant in each area of ​​the water body to be tested, that is, the greater the pollution loss influence coefficient DW.

[0116] Step S65: Based on the flow rate loss influence coefficient DL and the pollution loss influence coefficient DW, the growth loss function The plant growth loss coefficient OST of each area of ​​the water body to be tested is calculated, where , is the scaling factor and is greater than 0.

[0117] Step S66, calculating the growth loss amount of the optimal planting plants in each area of ​​the water body to be tested according to the plant growth loss coefficient OST of each area of ​​the water body to be tested to obtain the regional planting loss amount information of each area.

[0118] Step S67, based on the water body area division result, the water capacity of each area of ​​the water body to be tested is detected to obtain regional water capacity information.

[0119] Step S68, analyzing the planting demand of the optimal planting plants in each area of ​​the water body to be measured based on the regional water capacity information to obtain regional planting demand information of each area.

[0120] Step S69, determining the optimal planting quantity of each area of ​​the water body to be tested based on the regional planting loss information of each area of ​​the water body to be tested and the regional planting demand information of each area, and obtaining the regional planting quantity information.

[0121] In specific applications, the water flow velocity and pollution conditions in each area of ​​the water body to be tested are used to analyze the impact of the water flow velocity and pollution conditions in each area of ​​the water body to be tested on the growth and reproduction loss of the optimal planting plants in each area of ​​the water body to be tested, and the plant growth loss coefficient OST of each area of ​​the water body to be tested is obtained. The regional planting loss information of each area of ​​the water body to be tested is calculated according to the plant growth loss coefficient OST of each area of ​​the water body to be tested, and the regional planting demand information of each area is obtained based on the regional water capacity information analysis. The regional planting quantity information is obtained according to the regional planting loss information of each area of ​​the water body to be tested and the regional planting demand information of each area, which improves the accuracy of calculating the plant planting quantity in each area of ​​the water body to be tested, thereby improving the efficiency of multi-plant ecological restoration of the water body to be tested.

[0122] Reference Figure 1 , step S7, based on the optimal planting plants and regional planting quantity information of each area of ​​the water body to be tested, plants are laid in each area of ​​the water body to be tested, and whether there is abnormality in the growth of plants in each area of ​​the water body to be tested is detected in real time. If abnormal, the abnormal area is located and sent to the remote user end. Step S7 specifically includes the following sub-steps:

[0123] Step S71, setting the size of the planting bed in each area based on the optimal planting plants and regional planting quantity information of each area of ​​the water body to be measured to obtain regional planting bed size information, and installing the planting beds in each area of ​​the water body to be measured based on the regional planting bed size information.

[0124] Step S72, planting and laying in each planting bed of the water body to be tested based on the optimal planting plants and regional planting quantity information of each area of ​​the water body to be tested.

[0125] Step S73, real-time detection is performed on the growth rate of the optimal planting plants in each area of ​​the water body to be tested to obtain real-time plant growth rate information, and the real-time plant growth rate information is compared with the preset plant growth threshold range to determine whether the growth of the optimal planting plants in each area is abnormal; if the real-time plant growth rate information is within the preset plant growth threshold range, normal plant growth information is output; if the real-time plant growth rate information exceeds the preset plant growth threshold range, abnormal plant growth information is output, and the area where the abnormal plant growth signal is output is located to obtain the position information of the abnormal growth area.

[0126] Step S74: if the optimal planted plant grows abnormally, the plant growth abnormality information and the abnormal growth area location information are sent to the remote user terminal based on the wireless communication module.

[0127] The embodiment of the present application also discloses a water body multi-plant ecological restoration system.

[0128] Reference Figure 2 , a water body multi-plant ecological restoration system, comprising:

[0129] The regional division module is used to detect whether the water body to be tested has different functions. If so, regional division is performed according to the different functions of the water body to be tested to obtain the water body regional division result. If not, regional division index Q is obtained based on the water capacity information and pollutant information of the water body to be tested. The water body to be tested is divided into regions according to the regional division index Q to obtain the water body regional division result.

[0130] The plant screening module is configured to analyze plants suitable for ecological restoration of the water body to be tested based on the pollutant information of the water body to be tested to obtain a plant pre-screening database, analyze whether each plant in the plant pre-screening database is a native plant of the water body to be tested, if not, further screening is performed based on the climate similarity between the suitable survival areas of each plant in the plant pre-screening database and the area where the water body to be tested is located to obtain a plant second screening database, and further screening is performed based on the plant adaptability information and plant stress resistance information of each plant in the plant second screening database to obtain a plant selection database.

[0131] The biological interaction analysis module is configured to analyze the competition relationship between each plant in the plant selection database and the original plants in each area of ​​the water body to be tested based on the water body area division result to obtain the plant competition relationship coefficient BZ, analyze the feeding relationship of existing animals in each area of ​​the water body to be tested to each plant in the plant selection database to obtain the animal feeding relationship coefficient BJ, and obtain the biological interaction influence coefficient X according to the plant competition relationship coefficient BZ and the animal feeding relationship coefficient BJ.

[0132] The plant self-suitability analysis module is used to obtain the plant self-suitability coefficient CZ according to the cost and propagation speed of each plant in the plant selection database.

[0133] The regional suitable plant selection module is used to comprehensively analyze the suitability of each plant in the plant selection database for planting in each area of ​​the water body to be tested by combining the plant's own suitability coefficient CZ and the biological interaction influence coefficient X to obtain the plant planting suitability coefficient W, and select the optimal planting plants in each area of ​​the water body to be tested according to the plant planting suitability coefficient W.

[0134] The plant quantity analysis module is configured to detect the water flow velocity and pollution density of each area based on the water body area division result, and obtain the plant growth loss coefficient OST on the optimal planting plants in each area of ​​the tested water body. The regional planting loss information of each area is calculated according to the plant growth loss coefficient OST, and the regional water capacity information is detected according to the water body area division result, and then the regional planting demand information of each area is analyzed. The planting quantity of the optimal planting plants in each area is determined according to the regional planting loss information and the regional planting demand information of each area.

[0135] The plant laying detection module is configured to lay plants in each area of ​​the water body to be tested based on the optimal planting plants and regional planting quantity information in each area of ​​the water body to be tested, and to detect in real time whether there are any abnormalities in the growth of plants in each area of ​​the water body to be tested. If there are any abnormalities, the abnormal area will be located and sent to the remote user end.

[0136] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A method for ecological restoration of water bodies with multiple plants, characterized in that: The following steps are involved: Detect whether the water body to be tested has different functions. If so, divide the water body into different areas according to the different functions to be tested to obtain the water body area division result. If not, analyze the water capacity information and pollutant information of the water body to be tested to obtain the area division index Q. Divide the water body to be tested into different areas according to the area division index Q to obtain the water body area division result. Based on the pollutant information of the water body to be tested, plants suitable for ecological restoration of the water body to be tested are analyzed to obtain a plant pre-screening database, and each plant in the plant pre-screening database is analyzed to determine whether it is a native plant of the water body to be tested. If not, further screening is performed based on the climate similarity between the suitable survival area of ​​each plant in the plant pre-screening database and the area where the water body to be tested is located to obtain a plant second screening database, and further screening is performed based on the plant adaptability information and plant stress resistance information of each plant in the plant second screening database to obtain a plant selection database; Based on the results of water body area division, the competition relationship between each plant in the plant selection database and the original plants in each area of ​​the water body to be tested is analyzed to obtain the plant competition relationship coefficient BZ, and the feeding relationship between the existing animals in each area of ​​the water body to be tested and each plant in the plant selection database is analyzed to obtain the animal feeding relationship coefficient BJ. According to the plant competition relationship coefficient BZ and the animal feeding relationship coefficient BJ, the biological interaction influence coefficient X is obtained; According to the cost and propagation speed of each plant in the plant selection database, the plant's own suitability coefficient CZ is obtained; The plant's own suitability coefficient CZ and the biological interaction influence coefficient X are comprehensively used to analyze the suitability of each plant in the plant selection database for planting in each area of ​​the water body to be tested to obtain the plant planting suitability coefficient W, and the optimal planting plants in each area of ​​the water body to be tested are selected according to the plant planting suitability coefficient W; Based on the water body area division results, the water flow velocity and pollution density of each area are detected to determine the growth and reproduction loss of the optimal planting plants in each area of ​​the tested water body, and the plant growth loss coefficient OST is obtained. The regional planting loss information of each area is calculated according to the plant growth loss coefficient OST. The regional water capacity information is detected according to the water body area division results, and then the regional planting demand information of each area is analyzed. According to the regional planting loss information and regional planting demand information of each area, the planting quantity of the optimal planting plants in each area is determined to determine the regional planting quantity information; Based on the optimal planting plants and regional planting quantity information in each area of ​​the water body to be tested, plants are laid in each area of ​​the water body to be tested, and real-time detection is carried out to see if there are any abnormalities in the plant growth in each area of ​​the water body to be tested. If there are any abnormalities, the abnormal area is located and sent to the remote user end.

2. A method for multi-plant ecological restoration of water bodies according to claim 1, characterized in that: The steps of detecting whether the water body to be tested has different functions, if so, performing regional division according to the different functions of the water body to be tested to obtain a water body regional division result, if not, performing regional division index Q based on water capacity information and pollutant information of the water body to be tested, and performing regional division according to the regional division index Q to obtain a water body regional division result specifically include: Detect whether the water body to be tested has different functions. If different functions exist, the water body is divided into regions according to the different functions of the water body to be tested to obtain a water body region division result. If different functions do not exist, a regional planning signal is output; After receiving the regional planning signal, the water capacity information of the water body to be measured is obtained, and the water capacity division influence coefficient AH is obtained based on the water capacity information; wherein, the larger the water capacity of the water body to be measured, the larger the water capacity division influence coefficient AH; Obtaining pollutant information of the water body to be tested, wherein the pollutant information includes pollutant type information and pollutant density information; The pollutant type classification influence coefficient AZ is obtained according to the pollutant type information, wherein the more pollutant types there are in the water body to be tested, the greater the pollutant type classification influence coefficient AZ is; The pollutant density division influence coefficient AM is obtained according to the pollutant density information, wherein the higher the pollutant density of the water body to be tested is, the greater the pollutant density division influence coefficient AM is; The comprehensive water capacity division influence coefficient AH, pollutant type division influence coefficient AZ and pollutant density division influence coefficient AM are based on the regional division function. The regional division index Q is calculated, where a1, a2, and a3 are proportional factors and are all greater than 0; The water body to be tested is evenly divided into regions according to the region division index Q to obtain a water body region division result, wherein the larger the region division index Q is, the larger the volume of each region in the water body region division result is.

3. A method for water body multi-plant ecological restoration according to claim 2, characterized in that: Based on the pollutant information of the water body to be tested, plants suitable for ecological restoration of the water body to be tested are analyzed to obtain a plant pre-screening database, and whether each plant in the plant pre-screening database is a native plant of the water body to be tested is analyzed. If not, further screening is performed based on the climate similarity between the suitable survival area of ​​each plant in the plant pre-screening database and the area where the water body to be tested is located to obtain a plant second screening database, and further screening is performed based on the plant adaptability information and plant stress resistance information of each plant in the plant second screening database to obtain a plant selection database, specifically including: Obtain a plant pollutant impact data table, in which each plant in the plant pollutant impact data table has the ability to treat pollutants in different pollutant environments, and if so, mark the degree of treatment of each plant for different pollutants; According to the pollutant type information in the pollutant information of the water body to be tested, based on the pollutant type information, a search is performed in the plant pollutant impact data table to screen out plants that have the ability to treat pollutants in the water body to be tested to obtain a plant pre-screening database; Determine whether each plant in the plant pre-screening database is a native plant of the water body to be tested. If it is not a native plant of the water body to be tested, analyze the similarity between the climate of the suitable survival area of ​​each plant and the area where the water body to be tested is located to obtain climate similarity, and screen and remove plants with climate similarity greater than the climate similarity threshold in the plant pre-screening database to obtain a plant second screening database; Obtain plant adaptability information and plant stress resistance information of each plant in the plant second screening database; Compare the plant adaptability information of each plant in the plant second screening database with a preset plant adaptability threshold, and if the plant adaptability information is less than the preset plant adaptability threshold, mark it as a plant with poor adaptability; Compare the plant stress resistance information of each plant in the plant second screening database with the preset plant stress resistance threshold value. If the plant stress resistance information is less than the preset plant stress resistance threshold value, it is marked as a plant with poor stress resistance; Plants with plant markers of poor adaptability or poor stress resistance in the plant second screening database are screened and removed to obtain a plant selection database.

4. A method for water body multi-plant ecological restoration according to claim 3, characterized in that: Based on the water body area division result, the competitive relationship between each plant in the plant selection database and the original plants in each area of ​​the water body to be tested is analyzed to obtain the plant competition relationship coefficient BZ, the feeding relationship of existing animals in each area of ​​the water body to be tested to each plant in the plant selection database is analyzed to obtain the animal feeding relationship coefficient BJ, and the biological interaction influence coefficient X is obtained according to the plant competition relationship coefficient BZ and the animal feeding relationship coefficient BJ, specifically including: Based on the water body area division results, the existing plants in normal growth and reproduction in each area of ​​the water body to be tested are collected to obtain the existing normal plant information in the area; Obtaining a plant competition relationship table, wherein the plant competition relationship table includes whether there is a competition relationship between different plants and the degree of competition; Based on the plant competition relationship table, find out whether there is a competition relationship between the existing normal plant information in each area and the plants in the plant selection database. If there is a competition relationship, the plant competition relationship coefficient BZ is obtained based on the degree of competition; the higher the degree of competition between the existing normal plant information in each area and the plants in the plant selection database, the greater the plant competition relationship coefficient BZ; Detecting the existing animals in normal growth state in each area of ​​the water body to be tested to obtain the information of the existing normal animals in the area; Obtaining an animal food raw material table, wherein the animal food raw material table includes a food table of each animal in the existing normal animal information in the area and the eating willingness of each food; Based on the animal feeding raw material table, find out whether there is a feeding relationship between the existing normal animal information in the area and the plants in the plant selection database. If there is a feeding relationship, the animal feeding relationship coefficient BJ is obtained based on the existing normal animal information in the area and the feeding willingness of each plant in the plant selection database; Comprehensive plant competition coefficient BZ and animal feeding coefficient BJ, based on biological interaction function The biological interaction influence coefficient X is calculated, where b1 and b2 are proportional factors and are greater than 0.

5. A method for water body multi-plant ecological restoration according to claim 4, characterized in that: The steps of obtaining the plant's own suitability coefficient Y according to the cost and propagation speed of each plant in the plant selection database, analyzing the suitability of each plant in the plant selection database for planting in each area of ​​the water body to be tested by comprehensively analyzing the plant's own suitability coefficient Y and the biological interaction influence coefficient X, and obtaining the plant planting suitability coefficient W for each area for each plant, and selecting the optimal planting plants in each area of ​​the water body to be tested according to the plant planting suitability coefficient W specifically include: Obtaining planting cost information of each plant in the plant selection database; Based on the planting cost information of each plant in the plant selection database, the influence of the planting cost of each plant in the plant selection database on whether the plant is suitable for planting is analyzed to obtain the cost influence coefficient CZ; The reproduction rate threshold is pre-set according to the biological interaction influence coefficient X; Obtaining the propagation rate information of each plant in the plant selection database; Compare the propagation speed information of each plant in the plant selection database with the propagation speed threshold and analyze the propagation speed influence coefficient CF. If the propagation speed information of each plant is consistent with the propagation speed threshold, the propagation speed influence coefficient CF is the smallest. If the propagation speed information of each plant is inconsistent with the propagation speed threshold, calculate the difference. The larger the difference, the larger the propagation speed influence coefficient CF. According to the cost impact coefficient CZ and the reproduction speed impact coefficient CF, based on the plant's own impact function The plant's own suitability coefficient Y is calculated, where c1 and c2 are proportional factors and are both greater than 0.

6. A method for water body multi-plant ecological restoration according to claim 5, characterized in that: The steps of analyzing the suitability of each plant in the plant selection database for planting in each area of ​​the water body to be tested by comprehensively analyzing the biological interaction influence coefficient X and the plant's own suitability coefficient Y to obtain the plant planting suitability coefficient W of each area for each plant, and selecting the optimal planting plants in each area of ​​the water body to be tested according to the plant planting suitability coefficient W specifically include: According to the biological interaction coefficient X and the plant's own suitability coefficient Y, based on the regional plant suitability function The suitability of each plant in the plant selection database for planting in each area of ​​the water body to be tested is calculated, that is, the plant planting suitability coefficient W of each area for each plant, where: , is the proportional factor and is greater than 0; The optimal planting plants in each area of ​​the water body to be tested are selected according to the plant planting suitability coefficient W, that is, in each area of ​​the water body to be tested, the plant with the largest plant planting suitability coefficient W is the optimal planting plant in the area.

7. A method for multi-plant ecological restoration of water bodies according to claim 6, characterized in that: Based on the water body area division result, the water flow velocity and pollution density of each area are detected to determine the growth and reproduction loss of the optimal planting plants in each area of ​​the tested water body, and the plant growth loss coefficient OST is obtained. According to the plant growth loss coefficient OST, the regional planting loss information of each area is calculated. According to the water body area division result, the regional water capacity information is detected, and then the regional planting demand information of each area is analyzed. According to the regional planting loss information and the regional planting demand information of each area, the planting quantity of the optimal planting plants in each area is determined. The steps specifically include: Based on the water body area division result, the water flow velocity of each area of ​​the water body to be tested is detected to obtain the regional water flow velocity information; According to the regional water flow velocity information, the water flow velocity in each area of ​​the water body to be tested is analyzed to determine the growth and reproduction loss of the optimal plant in each area of ​​the water body to be tested, and the velocity loss influence coefficient DL is obtained; Based on the water body area division results, the pollution density of each area of ​​the water body to be tested is detected to obtain regional pollution severity information; According to the regional pollution severity information, the pollution situation in each area of ​​the water body to be tested affects the growth and reproduction loss of the optimal planting plants in each area of ​​the water body to be tested, and the pollution loss influence coefficient DW is obtained; According to the velocity loss influence coefficient DL and the pollution loss influence coefficient DW, based on the growth loss function The plant growth loss coefficient OST of each area of ​​the water body to be tested is calculated, where , is the scale factor and is greater than 0; According to the plant growth loss coefficient OST of each area of ​​the water body to be tested, the growth loss of the optimal planting plants in each area of ​​the water body to be tested is calculated to obtain the regional planting loss information of each area; Based on the water body area division result, the water capacity of each area of ​​the water body to be tested is detected to obtain regional water capacity information; Based on the regional water capacity information, the optimal planting plants in each area of ​​the water body to be tested are analyzed to obtain the regional planting demand information of each area; According to the regional planting loss information of each area of ​​the water body to be tested and the regional planting demand information of each area, the planting quantity of the optimal planting plants in each area of ​​the water body to be tested is determined to obtain the regional planting quantity information.

8. A method for water body multi-plant ecological restoration according to claim 7, characterized in that: The steps of laying plants in each area of ​​the water body to be tested based on the optimal planting plants and regional planting quantity information in each area of ​​the water body to be tested, and detecting in real time whether there is abnormality in the growth of plants in each area of ​​the water body to be tested, and locating the abnormal area if abnormal and sending it to the remote user end specifically include: Based on the optimal planting plants and regional planting quantity information of each area of ​​the water body to be tested, the planting bed size of each area is set to obtain regional planting bed size information, and the planting beds in each area of ​​the water body to be tested are installed based on the regional planting bed size information; Planting and laying in each planting bed of the water body to be tested based on the optimal planting plants and regional planting quantity information in each area of ​​the water body to be tested; Performing real-time detection on the growth rate of the optimal planting plants in each area of ​​the water body to be tested to obtain real-time plant growth rate information, comparing the real-time plant growth rate information with a preset plant growth threshold range to determine whether the growth of the optimal planting plants in each area is abnormal, if the real-time plant growth rate information is within the preset plant growth threshold range, then outputting normal plant growth information, if the real-time plant growth rate information exceeds the preset plant growth threshold range, then outputting abnormal plant growth information, and locating the area where the abnormal plant growth signal is output to obtain abnormal growth area position information; If the optimal planted plant grows abnormally, the plant growth abnormality information and the abnormal growth area location information are sent to the remote user terminal based on the wireless communication module.

9. A water body multi-plant ecological restoration system, characterized in that: The water body multi-plant ecological restoration system is used to implement the water body multi-plant ecological restoration method described in any one of claims 1 to 8, comprising: A regional division module is used to detect whether the water body to be tested has different functions. If so, regional division is performed according to the different functions of the water body to be tested to obtain a water body regional division result. If not, regional division index Q is obtained based on analysis of water capacity information and pollutant information of the water body to be tested. The water body to be tested is regionally divided according to the regional division index Q to obtain a water body regional division result. The plant screening module is configured to analyze plants suitable for ecological restoration of the water body to be tested based on the pollutant information of the water body to be tested to obtain a plant pre-screening database, analyze whether each plant in the plant pre-screening database is a native plant of the water body to be tested, and if not, further screen according to the climate similarity between the suitable survival area of ​​each plant in the plant pre-screening database and the area where the water body to be tested is located to obtain a plant second screening database, and further screen according to the plant adaptability information and plant stress resistance information of each plant in the plant second screening database to obtain a plant selection database; The biological interaction analysis module is configured to analyze the competition relationship between each plant in the plant selection database and the original plants in each area of ​​the water body to be tested based on the water body area division result to obtain the plant competition relationship coefficient BZ, analyze the feeding relationship of existing animals in each area of ​​the water body to be tested to each plant in the plant selection database to obtain the animal feeding relationship coefficient BJ, and obtain the biological interaction influence coefficient X according to the plant competition relationship coefficient BZ and the animal feeding relationship coefficient BJ; The plant self-suitability analysis module is used to obtain the plant self-suitability coefficient CZ according to the cost and reproduction speed of each plant in the plant selection database; The regional suitable plant selection module is used to comprehensively analyze the suitability of each plant in the plant selection database for planting in each area of ​​the water body to be tested by combining the plant's own suitability coefficient CZ and the biological interaction influence coefficient X to obtain the plant planting suitability coefficient W, and select the optimal planting plants in each area of ​​the water body to be tested according to the plant planting suitability coefficient W; The plant quantity analysis module is configured to detect the water flow velocity and pollution density of each area based on the water body area division result on the growth and reproduction loss of the optimal planting plants in each area of ​​the tested water body to obtain the plant growth loss coefficient OST, calculate the regional planting loss information of each area according to the plant growth loss coefficient OST, detect the regional water capacity information according to the water body area division result, and then analyze the regional planting demand information of each area, and determine the planting quantity of the optimal planting plants in each area according to the regional planting loss information and regional planting demand information of each area; The plant laying detection module is configured to lay plants in each area of ​​the water body to be tested based on the optimal planting plants and regional planting quantity information in each area of ​​the water body to be tested, and to detect in real time whether there are any abnormalities in the growth of plants in each area of ​​the water body to be tested. If there are any abnormalities, the abnormal area will be located and sent to the remote user end.

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