119 results about "South china" patented technology

The invention discloses a hyperspectral technology-based inversion method for SPAD values and nitrogen concentrations of leaves in the whole growth period of rice. The hyperspectral data of the leaves of the rice are obtained by means of an ASD Field Spec4 portable ground object spectrometer in the initial differentiation period (PI), the heading period (HD), the middle filling period (MF) and the mature period (MA) of young ears; measuring the SPAD value of the rice as the chlorophyll content by using an SPAD-502 chlorophyll meter; determining the nitrogen concentration of the rice leaves by adopting a Kjeldahl method; performing correlation analysis on the hyperspectral data of the leaves, the nitrogen concentration and SPAD, and screening sensitive wavebands. According to the method, the hyperspectral characteristic wave band of the rice leaf is extracted through a correlation analysis method, so that the redundancy of full-spectrum data modeling is reduced, data are optimized, an inversion model of the nitrogen concentration and SPAD value of the rice leaf is constructed based on linear regression (LR), random forest (RF), support vector regression (SVR) and gradient boosting (GBRT), and the nitrogen concentration and SPAD value of the rice leaf are obtained. The optimal machine learning algorithm with high precision and good stability is obtained, and a scientific basis can be provided for non-destructive real-time leaf color monitoring and precise fertilization control of indica rice in the South China.

The invention relates to the technical field of fishing boat navigation positioning, in particular to a fishing boat dynamic drift prediction method and system based on South China Sea water area distress analysis. Constructing a dynamic drift prediction model of the target fishing boat and a future meteorological environment field model of the South China Sea water area, stripping a first future meteorological environment sub-simulation field of the current target fishing boat in the first static distress environment area through the future meteorological environment field model, and performing dynamic prediction in the dynamic drift prediction model, obtaining an initial dynamic drift route; and planning a second static distress environment area formed by dynamic drift of the current target fishing boat through the initial dynamic drift route to analyze a vector disturbance index of the meteorological environment, adjusting a second future meteorological environment sub-simulation field according to the vector disturbance index, and performing dynamic prediction again to obtain a final dynamic drift route. According to the method, the dynamic drifting route and coordinates of the fishing boat under the influence of the meteorological environment when the fishing boat is in danger in the South China Sea can be accurately predicted, so that the search and rescue efficiency and accuracy are improved.

The invention relates to Penicillium decumbens C01 and application of the Penicillium decumbens C01, and belongs to the technical field of microorganisms. The penicillium decumbens C01 disclosed by the invention is preserved in the Guangdong Microbial Culture Collection Center, and the preservation number of the penicillium decumbens C01 is GDMCC NO.66456. The strain is obtained by separating, purifying and screening soil samples collected from botanical gardens in South China of Guangzhou; tests show that the bacteriostatic active substance generated by fermentation of the strain has a good bacteriostatic effect on staphylococcus epidermidis, staphylococcus aureus, escherichia coli, propionibacterium acnes, candida albicans and pseudomonas aeruginosa, and the bacteriostatic active substance has the characteristic of high temperature resistance and excellent preservative effect; the antibacterial preservative can be used as an antibacterial preservative raw material, is applied to the fields of food, health care products or daily chemical products and the like, and has wide application prospects and important conversion research values.

The invention belongs to the technical field of ocean surface flow velocity remote sensing observation, and particularly relates to a wave deviation correction method based on wave orbit motion and scattering characteristic analysis, which comprises the following steps of: establishing a wave deviation correction method driven by a physical mechanism in combination with wave orbit motion and Bragg wave scattering intensity change; generating simulation data through the M4S model to train the correction model; applying the trained model to actually measured data of an airborne Ka-band along-track interferometric synthetic aperture radar of the Jones Zhou straits of the South China Sea, and verifying the effectiveness of the model by comparing and analyzing the actually measured data with real data provided by a GNSS drifting buoy; the reduction amplitude of the radial surface flow velocity measurement error is calculated, and the experimental result shows that the error is averagely reduced by about 83.5%. The invention provides an efficient and innovative technical scheme for improving the remote sensing measurement accuracy of the ocean surface flow velocity, can obviously reduce the remote sensing measurement error of the ocean surface flow velocity, and is suitable for the application fields of ocean environment monitoring, climate change research and ocean engineering.

The invention discloses an ostrinia furnacalis sex attractant and a preparation method and application thereof.The sex attractant is prepared from sex pheromone and a solvent, and the sex pheromone comprises cis-12-tetradecene acetate, trans-12-tetradecene acetate and tetradecene acetate; the mass ratio of the cis-12-tetradecene acetate to the trans-12-tetradecene acetate is 3: (1-2), and the ratio of the mass sum of the cis-12-tetradecene acetate and the trans-12-tetradecene acetate to the mass of the tetradecene acetate is 3: (0.8-1.2). The sex attractant provided by the invention can significantly increase the trapping amount of Asiatic corn borers, has good stability and accuracy, and can be used for monitoring, early warning, trapping, killing and preventing Asiatic corn borers in South China.

The present invention discloses a sea dragon-derived antimicrobial peptide, SsPle, for antimicrobial applications in the complex environments of tropical islands and reefs. The amino acid sequence of this antimicrobial peptide is shown in SEQ ID NO. 3. This antimicrobial peptide, SsPle, exhibits good water solubility, broad antimicrobial activity, and highly stable antimicrobial properties under high temperature, high salt, and ultraviolet irradiation conditions. It can inhibit the release of free bacterial endotoxins and has significant application prospects as an eco-friendly antimicrobial agent in the unique environments of South China Sea islands and reefs.

The invention relates to marine fish breeding, and particularly discloses an indoor full-artificial breeding method for black epinephelus, which specifically comprises the key technical links of nutrient enrichment of parent fish, hormone induced spawning, artificial insemination and fertilized egg incubation, indoor breeding of fry, compound feed domestication and the like. By controlling water temperature, illumination, salinity and nutritional conditions, synchronous maturation and efficient ovulation of parent gonads of the epinephelus nigatosus are achieved, the fertilization rate reaches 95% or above, and the hatching rate exceeds 85%. According to the method, the whole-process artificial controllable breeding of the epinephelus nigatosus from the parent fish to the fry is realized, a new variety is provided for the epinephelus culture industry, and a feasible technical approach is also provided for the artificial breeding and improved variety breeding of the wild epinephelus nigatosus in the island reef of the South China Sea.

The invention belongs to the technical field of biocontrol bacteria, and discloses bacillus velezensis and application thereof in preventing and treating bacterial wilt of solanaceae crops. The bacillus velezensis is named as bacillus velezensis PR-7, and is preserved in the China General Microbiological Culture Collection Center (CGMCC), the address of the preservation unit is No.3, No.1 yard, Beichen West Road, Chaoyang District, Beijing, the preservation time is November 13, 2023, and the preservation number is CGMCC No.28979. The bacillus velezensis has the advantages that the bacillus velezensis is named as bacillus velezensis PR-7; the bacillus velezensis can effectively inhibit the growth of a bacterial wilt pathogen, i.e., the evolutionary I type (main evolutionary type of bacterial wilt pathogen in South China) of bacterial wilt pathogen, improves the bacterial wilt resistance of solanaceae crops, and is of great significance to the prevention and treatment of bacterial wilt of solanaceae crops in South China.

The invention discloses an atmospheric ocean multi-source data high-precision assimilation method and device, and relates to the technical field of ocean multi-source data assimilation, and the assimilation method comprises the steps: collecting multi-source observation data of a typhoon region of the South China Sea; preprocessing the data; decomposing the observation field into different scales by using wavelet transform; acquiring a background field from the numerical model, interpolating the background field to a grid consistent with observation, projecting the background field to an observation space, and performing multi-scale decomposition to enable the background field to correspond to an observation scale; calculating a difference vector of observation and background fields on each scale, and dynamically calculating an adaptive weight of each point on each scale according to an observation error, a background error and a current deviation; and constructing a cost function, solving through an optimization algorithm to obtain an analysis field, and outputting a final analysis field. According to the method, a multi-scale decomposition and self-adaptive regularization cooperation mechanism is introduced, so that high-precision dynamic fusion of the multi-source observation data and the numerical model can be realized.

Disclosed in the present invention are an acrylic polyurethane finish coat having a high solid content and super weather resistance and a preparation method therefor. The finish coat consists of a component A and a component B, the mass ratio of the component A to the component B being 20:(2-5). The component A comprises the following components in parts by mass: 30-45 parts of acrylic resin, 2-10 parts of a modified resin, 2-10 parts of a hyperbranched polyester polyol, 25-40 parts of a pigment and filler, 0-1.5 parts of a thixotropic agent, 0.1-10 parts of a dispersing agent, 0.1-0.5 part of a defoaming agent, 0.01-1 part of a drier and 1-10 parts of a mixed solvent. The component B comprises the following components in parts by mass: 70-95 parts of an aliphatic isocyanate polymer, 2-15 parts of xylene and 2-15 parts of propylene glycol methyl ether acetate. The coat of the present invention exhibits excellent weather resistance, which is comparable to that of super-weather-resistant finish coats fluorocarbon finish coats and polysiloxane finish coats, and has high mechanical strength and an anti-corrosion property, and is thus particularly suitable for surface coating of steel structures in the environment of South China Sea.

The invention discloses a sea surface temperature prediction method based on a depth time index attention model, and the method comprises the following steps: selecting sea surface temperature SST data of five observation points in a South China Sea region through employing an interpolation sea temperature OISST data set provided by an open source website; the collected one-dimensional sea temperature data and the corresponding time index data are preprocessed, and a data set is divided into a training set, a verification set and a test set; an SST prediction model based on depth time index attention is constructed and trained, wherein the model comprises a Fourier feature transform layer, an implicit neural representation INR layer and a double attention layer; inputting a test set into the trained model for prediction, carrying out anti-standardization processing on an SST prediction result, and finally comparing the SST prediction result with an observation value; according to the method, the model has better generalization ability, and the prediction precision is further improved by adding the attention module.

The invention discloses a high-yield cultivation method for muskmelons in sand land in South China, which belongs to the technical field of agricultural cultivation and comprises the steps of preparation before cultivation, seedling raising, transplanting, field management and harvesting. The variety is a heat-resistant and moisture-resistant type with good resistance, and is matched with a steel pipe type multi-span greenhouse and an insect-proof net to create a suitable growth environment. The planting crop rotation of three crops in one year makes full use of resources. Water and fertilizer integrated irrigation is adopted, and water and fertilizer are accurately supplied. Fine management is conducted in the seedling raising link, and robust melon seedlings are cultivated. Details are emphasized during transplanting, and the survival rate is guaranteed. Field management is carried out according to the growth rule of muskmelons, precise regulation and control are carried out in all stages such as vine stretching, vine binding and branch pruning, and diseases and pests are specifically prevented and controlled. And timely harvesting after 35-44 days of maturation. The cultivation method has the advantages that the cultivation method adapts to the special environment in South China, diseases and insect pests are reduced, water and fertilizer are accurately supplied, plant growth and fruit development are promoted, the land resource utilization rate is increased, the yield and quality of the thick-skin muskmelons can be effectively improved, and good benefits are brought to farmer households.

The application discloses a kind of carbon confinement nickel-based schottky heterojunction nanoporous composite antifouling agent and preparation method thereof.The antifouling agent material mainly includes nickel-based schottky heterojunction, metal oxide and nitrogen-doped carbon confinement structure, by reasonably controlling metal component, oxide type, carbon shell thickness and porous structure, excellent photothermal, photodynamic and antibacterial properties are obtained.The material is synthesized by "precipitation-annealing coordination" method, which can effectively improve the stability of the antifouling agent in the tropical South China Sea marine environment, prolong the antifouling period, and show significant antibiofouling ability under seawater corrosion, high temperature, high salt and high ultraviolet conditions.The application has lower cost, good environmental friendliness, and can be widely used in marine facilities, ships and other marine equipment antifouling coating.

The invention provides a sea surface temperature fusion method and system based on a South China Sea region, and the method comprises the following steps: S1, obtaining multi-source sea surface temperature data in a designated region and a time range, the multi-source sea surface temperature data comprising an infrared sea surface temperature, a microwave sea surface temperature and an actually measured sea surface temperature; s2, performing quality control on the acquired multi-source sea surface temperature data; s3, performing deviation correction between sensors on the multi-source sea surface temperature data after quality control to obtain the multi-source sea surface temperature data after deviation correction; and S4, for the multi-source sea surface temperature after quality control and deviation correction, a regularization variational method is adopted, and a wavelet coefficient is calculated by fitting a wavelet basis, so that a multi-scale variational fusion model is constructed, and a sea surface temperature fusion product at a target moment is obtained.

The present application relates to a strain of Penicillium decumbens (P. Penicillium decumbens ) C01 and its application, and belongs to the field of microbial technology. The Penicillium decumbens C01 disclosed by the present application has been preserved in the Guangdong Microbial Digital Culture Collection Center, and its preservation number is GDMCC NO.66456. The strain is isolated, purified and screened from a soil sample collected in the garden area of Guangzhou South China Botanical Garden. Tests show that the bacteriostatic active substance produced by fermentation of the strain has good bacteriostatic effect on Staphylococcus epidermidis, Staphylococcus aureus, Escherichia coli, Propionibacterium acnes, Candida albicans and Pseudomonas aeruginosa. Moreover, the bacteriostatic active substance has high-temperature resistance and excellent preservative effect, and can be used as a bacteriostatic and preservative raw material, applied in the fields of food, health care products or daily chemical products, and has broad application prospect and important transformation research value.

The application discloses a South China Sea Decapterus maruadsi polypeptide with uric acid reducing and antioxidant activities and an application thereof, and relates to the technical field of biology. The polypeptide with high uric acid reducing activity and antioxidant activity is screened through activity prediction and molecular docking, and the amino acid sequence is FYDWWK. The polypeptide can be stably combined with the active center of xanthine oxidase, forms multiple hydrogen bonds and hydrophobic interaction, significantly inhibits the generation of uric acid, and has an in-vitro xanthine oxidase inhibition IC 50 of 3.068±0.2547 mmol / L. Meanwhile, the polypeptide has excellent DPPH free radical scavenging capacity, and an IC 50 of 5.033±0.5476 mmol / L. The polypeptide has good stability, still has high efficient inhibitory activity after simulated gastrointestinal digestion, and has oral development potential. The polypeptide is a natural marine small molecule active peptide, is safe and easy to absorb, and can be applied to the preparation of products related to uric acid reducing and / or antioxidant.

The invention discloses an application of CsTON2 protein and a coding gene thereof in regulating and controlling the length of cucumber fruits, and belongs to the technical field of biology. The CsTON2 protein is derived from cucumbers, the amino acid sequence of the CsTON2 protein is as shown in SEQ ID NO.2, and the nucleotide sequence of a gene for coding the protein is as shown in SEQ ID NO.1. The South China type short fruit mutant sf5 is obtained through EMS mutagenesis, a candidate gene is determined to be CsTON2 through map-based cloning, amino acid is changed into leucine from proline due to mutation (C is changed into T) of the gene, and the fruit length is remarkably shortened; and after the overexpression vector is constructed and the mutant is transformed, the CsTON2 expression quantity of the overexpression strain is obviously increased, and the fruit length is obviously increased. The positive regulation effect of the CsTON2 gene on the cucumber fruit length is defined, a key target gene and a molecular marker are provided for molecular breeding of the cucumber fruit length, and the CsTON2 gene has important theoretical significance and application value.

The invention discloses a material using method suitable for overwintering culture of grass carps in South China. The material using method comprises the following steps: (1) selecting floating puffed compound feed in the early overwintering period and the later overwintering period; the feeding rate is 0.8-1.5%, and the feeding frequency is 2 times per day; (2) in the middle stage of overwintering, sinking puffed compound feed is selected, the feeding rate is controlled to be about 0.5%, and the feeding frequency is one time per day. In the early overwintering period and the later overwintering period, the fishes are active on the surface layer, the floating puffed compound feed is selected, the water temperature is low in the middle overwintering period, the sinking puffed compound feed is selected, the fishes can settle deep in the water body, and ingestion of the fishes is facilitated. In the overwintering culture period of the grass carps, materials are scientifically used as a whole, and the problems that in actual production, feed waste or insufficient feeding is caused, overwintering fish bodies do not lose fat, and fish diseases break out after the beginning of spring, so that culture benefits are affected are avoided.

The application discloses a sintering endpoint intelligent sensing method based on a 3D convolution network and belongs to the field of industrial process soft measurement modeling. The prediction model utilizes a space-time 3D convolution network to simultaneously learn space-time features hidden in data, and adopts an encoding-decoding network to perform multi-step prediction on a present sintering endpoint. Firstly, a random permutation and combination method is used to convert a two-dimensional data structure into a three-dimensional format. Then, a 3D convolution is used to extract time features and space features in the data. Next, a space-time feature calibration module is proposed to learn the importance of different features and finely process the features. Finally, the fine space-time features are input into the encoding-decoding network, and a dynamic multi-step prediction loss function is used to realize multi-step prediction on the sintering endpoint, so that the purpose of intelligent sensing is achieved. Related data collected in a sintering plant in South China verifies the effectiveness and feasibility of the method.

The invention relates to the technical field of microbial control, in particular to bacillus velezensis SCSX23, a fruit and vegetable postharvest biocontrol complex microbial inoculant and application of the fruit and vegetable postharvest biocontrol complex microbial inoculant. The bacillus velezensis SCSX23 is obtained by screening from sea mud of the South China Sea, and is preserved in the China General Microbiological Culture Collection Center on September 15, 2025, and the preservation number is CGMCC No.35917. The bacillus velezensis SCSX23 can be used for preparing the bacillus velezensis. A microbial agent prepared from the strain is further compounded with bacillus velezensis SQR9 to prepare the fruit and vegetable postharvest biocontrol composite microbial agent, various pathogenic bacteria can be effectively inhibited, the antibacterial spectrum is expanded, the shelf life of fruits and vegetables is prolonged through the synergistic stabilization effect of spores, and the fruit and vegetable postharvest biocontrol composite microbial agent has a good application prospect. The method has important practical significance and application value for prevention and treatment of fungal diseases of fruits and vegetables such as strawberries and mangoes after harvesting and preservation of the fruits and vegetables after harvesting.

The invention relates to the technical field of artificial intelligence, in particular to a southern abalone culture equipment group cross-process cooperative control method based on deep learning, and the method comprises the steps: comprehensively sensing the state of each culture process through real-time collection and fusion of multi-mode data, and providing a data basis for precise control; a multi-task deep learning model is utilized to predict and output key decision information in parallel, multiple tasks can be processed at the same time, decision efficiency and accuracy are improved, and complex conditions in the breeding process are timely dealt with; a collaborative operation plan is generated based on a collaborative rule and a global optimization target, cross-process dynamic coordination is achieved, resource allocation is optimized, operation conflicts are reduced, and the breeding efficiency is improved; the operation plan is converted into a control instruction and distributed to the breeding equipment, execution state data is obtained, it is ensured that the instruction is executed accurately, the equipment operation condition is mastered in time, and smooth breeding operation is ensured; through incremental training of the model, the model continuously adapts to the breeding environment change.

This invention discloses a biological reinforcement and corrosion protection process for bridge pier cracks, comprising: S1, extracting calcium ions from South China Sea calcareous sand to obtain a calcium chloride solution; S2, installing a reaction sleeve mold reaction device at the location of the cracked bridge pier, filling the gap between the bridge pier and the mold reaction device with South China Sea calcareous sand particles in three batches, and injecting bacterial solution, urea, and the calcium chloride solution obtained in step S1 in batches for cyclic infusion, and repeating the cyclic infusion process. This invention, by using the calcium chloride solution extracted from South China Sea calcareous sand and the bacterial solution for cyclic infusion, can achieve biological reinforcement of bridge pier cracks, resulting in better compatibility and permeability with the bridge pier substrate material. It can penetrate even the smallest cracks, and the generated calcium carbonate crystals can effectively and better bond with the bridge pier substrate material, playing a role in filling and bonding cracks. It also has the advantages of low cost, convenient material sourcing, few and safe byproducts, and no pollution to the marine environment.

The present invention belongs to the field of animal molecular biology DNA marker technology and application technology, and specifically discloses SNP molecular markers related to the growth traits of South China carp. The present invention screens out SNP markers and typing information related to the fast growth traits of South China carp by performing whole-genome resequencing and genome-wide association analysis on fast-growing individuals and slow-growing individuals in the same South China carp population. Specific primers are designed based on the sequence of the molecular marker, which can quickly and accurately detect sites related to growth. By detecting the SNP marker, fast-growing South China carp can be effectively selected under the same breeding conditions. It can be effectively used in molecular marker-assisted breeding of South China carp, providing technical support for breeding.

The invention discloses a complex microbial inoculant for degrading rice straws and application of the complex microbial inoculant. The bacterial strains of the complex microbial inoculant comprise Arophialophora sp. F35, Condenascus sp. F28, Streptomyces albogriseolus Y10F15 and Streptomyces sp. Y25F5, and the preparation method of the complex microbial inoculant comprises the following steps: respectively culturing the bacterial strains, and mixing the cultured bacterial solutions according to the same volume of the bacterial strains to form the complex microbial inoculant. The prepared complex microbial inoculant is inoculated to a rice straw degradation culture medium according to the dry weight of 1.25 mL / g, and the straw degradation rates reach 48.72% and 54.18% respectively after 15 days of inoculation and 18 days of inoculation. The rice straw degrading complex microbial inoculant disclosed by the invention is simple to prepare and easy to operate; when being applied to degradation of the rice straws, the rice straws are not required to be subjected to complex pretreatment and only need to be cut into small sections of 1-2 cm; the complex microbial inoculant has application value in the aspect of rapid decomposition of mechanically crushed and returned-to-field straws of early rice in South China.

The present application relates to the technical field of microbial pesticides, in particular to a deep-sea streptomyces with antifeedant function and antibacterial effect and application thereof. The streptomyces from the South China Sea deep sea is Streptomyces sp. NA13, which was preserved in China Center for Type Culture Collection on August 29, 2022, and the preservation number is CCTCC M 20221343. The strain has the ability to prepare antibiotics such as Antimycin, Candicidin, Naringenin, Surugamide, Fredericamycin, SAL-2242, Albaflavenone, Hopene, SGR PTMs, etc. In particular, the fermentation is used to prepare antimycin or cyclic octapeptide surugamide compounds, including novel antimycin compounds antimycin Q (1). The prepared antimycin compounds are used as insect pest antifeedants or antifungal drug lead compounds, and have application prospects of developing into natural source antibacterial and insecticidal pesticides.

The invention discloses a South China Sea carbon-rich natural gas decarburization process and device for methanation, and belongs to the technical field of new energy consumption and natural gas chemical industry. The decarburization device comprises an absorption system, a condensation liquefaction system, a flash evaporation system, a thermal regeneration system and a water washing system. By means of high integration of natural gas condensation and liquefaction, decarburization load distribution, throttling refrigeration and the like and process parameter optimization, the good energy-saving purpose can be achieved, good economical efficiency and reliability are achieved, the process is environmentally friendly, and the method is suitable for treating natural gas resources with high CO2 content in the South China Sea.

The invention discloses a south China region intelligent weather forecast assistant system based on an artificial intelligence technology. The south China region intelligent weather forecast assistant system comprises a data acquisition layer, an intelligent analysis layer and an interaction service layer. The intelligent analysis layer comprises a structured knowledge base, a large language model and an intelligent agent framework; the knowledge base stores rule data for mapping meteorological business terms into quantitative thresholds; and when a task execution graph is generated or fusion reasoning is carried out, calling the rule data to constrain the normalization of an output text. The agent framework is configured to receive a natural language instruction of a user, perform semantic analysis on the natural language instruction to identify a user intention, and dynamically generate a task execution graph based on the intention. The system takes a large language model as a core, combines a meteorological professional knowledge base and a multi-modal processing technology, realizes automatic acquisition, task decomposition and multi-step reasoning of multi-source heterogeneous data, and provides intelligent question answering, voice interaction and visual support, thereby effectively improving the automation level and decision-making efficiency of southern China region weather forecast.

The invention discloses a method for planting ecological regreening plants on a high and steep slope. The method comprises the steps that 1, planting grooves are formed in the high and steep slope; 2, a culture medium is added into the planting groove, and ecological regreening indigenous plants are planted; 3, compacting the culture medium, and watering the culture medium with root fixing water; wherein the culture medium comprises 40-70 parts by weight of soil, 10-30 parts by weight of fermented plant fibers, 5-10 parts by weight of plant waste residues and 10-20 parts by weight of inorganic particles. A large number of high and steep slopes are generated due to large-scale infrastructure construction and mineral resource development in South China. The high and steep slope needs to be subjected to ecological regreening treatment so as to avoid the problem of water and soil loss. At present, a substrate used in a high and steep slope ecological regreening substrate is mainly a seed spray seeding substrate, and the substrate is difficult to support long-term stable growth of high and steep slope ecological regreening small arbors and large shrubs. The method provided by the invention is suitable for vegetation recovery and ecological reconstruction of the high and steep slope.

The invention, which relates to the technical field of the South China Sea fishery, discloses an AI-based intelligent forecasting system for a South China Sea fishery, comprising a ship identification and classification unit and a behavior supervision unit. The ship identification and classification unit is used for identifying ships entering the South China Sea fishery through a multi-source data fusion technology, verifying consistency of appearance characteristics, fishing license numbers and ship grade information of the ships, obtaining fishing legality of the ships, and obtaining fishing legality of the ships through integrated ship identification and classification, behavior supervision and forecasting function modules. According to the method, the ships entering the fishery can be quickly and accurately identified and classified, the fishery supervision efficiency is effectively improved, meanwhile, the sensors integrated on the ships and the fishery patrol boats are used for monitoring fishing activity data in real time, and the compliance of fishing behaviors is accurately evaluated through the fishing intensity evaluation model, so that the fishing efficiency is improved. And timely and accurate supervision information and law enforcement basis are provided for fishery administration departments.

The application relates to a storage room system and method suitable for island material storage and seawater desalination, and belongs to the island life health field. In view of the problems of food perishability and freshwater shortage on islands, the application provides a storage room system suitable for island material storage and seawater desalination, which mainly comprises a refrigeration system, a plasma system and a seawater desalination system. The application realizes refrigeration and cooling of the storage space and provides a relatively suitable working temperature for the coupled plasma generating device by extracting low-temperature seawater to cool the refrigerant and arranging the evaporation pipeline around the storage room. Fresh water is prepared by utilizing the high humidity of island air, the air is heated through the convection effect of the compressor, the filtered air is humidified to the saturated state through the spraying device, and the fresh water is prepared through condensation. The application fully adapts to local conditions, utilizes the climate advantages and unique renewable energy of the South China Sea islands, and practically solves the actual needs of life.