143 results about "Salinity" patented technology

The application discloses a multi-period water supplement evaluation method based on big data simulation, and comprises the following steps: taking the Yangtze River estuary and the downstream basin as an object, establishing a hydrodynamic salinity diffusion numerical model, and training a physically constrained Fourier neural operator proxy model; dividing spatial grid nodes to construct a spatial topology connection graph; establishing data interaction relationship between nodes and updating parameters in real time through an improved spatial perception Mamba network; calculating uncertainty based on the salinity simulation results output by the proxy model, and dynamically feeding back and optimizing the Mamba network; reversely transmitting the optimized prediction results to dynamically update the constraint conditions of the proxy model; and determining an ecological water supplement position, time and water quantity scheme. The application realizes high-precision and high-frequency ecological water supplement decision support.

The application belongs to the technical field of marine environment monitoring and early warning, and specifically relates to a multi-channel internal wave flow early warning system and an early warning measurement method, which comprises the following steps: a buoy body is fixedly arranged through a fixed anchor, and a marine profile comprehensive detection module synchronously collects multi-dimensional profile data such as flow velocity, temperature and salinity. A main control unit is embedded with a mixed driving early warning model, a phase velocity of an internal wave is solved based on a physical model, a nonlinear correction is performed through a machine learning residual correction module, a high-precision internal wave phase velocity is obtained, and then early warning time, shear flow and displacement amplitude are calculated and an alarm level is determined. Alarm information is redundantly sent to a shore station receiving system through a ground mobile communication link and a satellite communication link of a multi-channel communication module, and the shore station receiving system regularly updates the machine learning model by taking measured data as incremental samples. The application realizes high-precision and low-delay early warning of internal wave flow, has high communication reliability, and is suitable for marine engineering, underwater vehicles and safety guarantee of offshore operations.

This invention discloses a multi-unit composite stress tiered breeding device and method for juvenile large yellow croaker, belonging to the field of aquaculture breeding technology. The device uses a central control unit as its sole core, forming a fully integrated unidirectional closed-loop drive system. Four independent breeding units are connected through a transparent channel with a centrally located aeration head, forming a physical flow-limiting isolation structure. Each unit independently regulates water temperature, salinity, and dissolved oxygen, creating a multi-factor composite stress gradient. The breeding method employs a three-factor linear equal-gradient synergistic progressive setting, utilizing the juvenile fish's autonomous adaptation and avoidance instincts to achieve cross-unit migration and natural selection. Combined with contour recognition and dynamic tracking algorithms, it monitors the fish population status and mortality rate in real time, and identifies superior offspring with comprehensive stress resistance through secondary verification under extreme stress. This invention offers high screening accuracy and automation, increasing the survival rate of superior individuals by over 40%, reducing labor costs by over 60%, and allowing for flexible adjustment of device parameters. It can be extended to the stress resistance breeding of other marine economic fish species.

The application provides a multi-stage reverse electrodialysis device system and a power generation method thereof, which utilizes the salt difference energy of concentrated seawater. The device system comprises a concentrated seawater tank, n-stage river water tanks, n-stage electrolyte tanks and n-stage reverse electrodialysis membrane stacks connected in series, and n is greater than or equal to 2. The concentrated seawater tank is connected to the first-stage reverse electrodialysis membrane stack. The i-stage river water tank and the i-stage electrolyte tank are independently connected to the i-stage reverse electrodialysis membrane stack, and 1 is less than or equal to i and is less than or equal to n. The power generation method comprises the following steps: (1) introducing the concentrated seawater, the river water and the electrolyte into the concentrated seawater tank, the n-stage river water tanks and the n-stage electrolyte tanks respectively; (2) setting the flow rates of the concentrated seawater, the river water and the electrolyte, and starting the n-stage reverse electrodialysis membrane stacks to generate power. The device system provided by the application effectively utilizes the salt difference energy and reduces the salinity of the concentrated seawater, realizes the standard discharge of the concentrated seawater, meets the green and environmental protection resource utilization requirements and is conducive to large-scale popularization and application.

This invention belongs to the technical field of environmental multi-parameter monitoring methods, and particularly relates to an environmental multi-parameter monitoring method and system for optimizing and denoising island and reef data. Based on prior knowledge of island and reef environmental physics, an unsupervised pseudo-label generation system is constructed. A multi-parameter numerical simulation model is built based on tidal cycles, temperature-salinity-density coupling, and the physicochemical equilibrium law of dissolved oxygen-temperature-pH. Environmental time-series characteristics of measured noise data are input to generate clean simulation reference data. A self-supervised learning framework is used to pre-train the basic denoising model with the clean simulation data as a weakly supervised signal. A physics-driven multi-parameter coupling and noise decoupling mechanism is constructed, transforming the physicochemical coupling relationships of temperature, salinity, pH, and dissolved oxygen into hard constraints for the model and establishing a parameter coupling correlation matrix. Through feature decoupling branches, environmental coupling change components and noise components are separated, distinguishing between parameter coupling pseudo-noise and real noise from sensor drift and transmission interference. Denoising bias of a single parameter is corrected through coupling constraints.

This invention relates to the field of mineral deposit exploration technology, specifically disclosing a method for determining the extension of magmatic hydrothermal deposits using fluid inclusions. The method involves collecting mineral samples containing fluid inclusions from the target deposit and its surrounding area using a systematic grid. Physicochemical parameters are obtained through petrography, microthermometry, and isotope analysis, and a spatial database is established. Multiple initial hydrothermal centers are identified. A multi-dimensional spatial constraint field is constructed, incorporating temperature-salinity-isotope gradients, mineralization depth, and magma-water mixing ratio. Using the initial centers as seed points, a neighborhood search is performed along the gradient synthesis direction. Sub-hydrothermal centers are generated and continuously grow when preset conditions are met, until an overlap threshold is reached, at which point iteration stops. All hydrothermal centers and growth paths are integrated to construct a spatial extension model. High-potential areas are screened using a target area evaluation index, and the extension direction and potential mineralization target areas are determined by combining the mineralization depth. This significantly improves the accuracy of concealed ore body prediction and the efficiency of mineral exploration.

This application relates to a marine vortex SAR imaging simulation method, comprising: acquiring marine environmental data of a target marine vortex region; generating a first geostrophic velocity field based on the sea surface dynamic height data, and generating a second geostrophic velocity field based on the three-dimensional temperature data and three-dimensional salinity data; performing a weighted summation of the first and second geostrophic velocity fields according to their respective weight values ​​to generate a composite geostrophic field corresponding to the target marine vortex region; and performing SAR simulation imaging on the target marine vortex region based on the composite geostrophic field to obtain a simulated SAR image of the target marine vortex region. Based on the above method, the problem of unclear details due to resolution limitations in sea surface dynamic height data can be improved; and the characteristics of vortices can be more fully represented, increasing the imaging effect of SAR in marine vortex imaging simulation applications.

The present application relates to water pollution control and treatment technical field, specifically to a kind of evaporation treatment equipment suitable for ammonium chloride high-salt wastewater, including evaporator, and evaporator includes shell and multiple heat exchange parts in shell.The heat exchange part includes partition and multiple heat exchange pipes, and the heat exchange pipe includes upper pipe, middle pipe and lower pipe which are sequentially arranged in vertical direction, and the upper pipe is installed on the partition, and the middle pipe is respectively connected with the upper pipe and the lower pipe ball hinge.A kind of evaporation treatment equipment suitable for ammonium chloride high-salt wastewater of the present application utilizes the length change of middle pipe of heat exchange pipe in vertical direction after rotation, dynamically compensates the problem of empty pipe caused by liquid level drop, prolongs the effective heat exchange time of upper pipe, shortens the empty pipe dry burning time, avoids the occurrence of large-area empty pipe dry burning situation, reduces the damage of high-temperature steam to heat exchange pipe, prolongs the service life of heat exchange pipe, enhances the stability of ammonium chloride high-salt wastewater evaporation treatment equipment, and helps the progress of water pollution control and treatment work.

A quantitative evaluation method for determining the influence of formation water salinity on shale gas reservoir reserves relates to the field of shale gas resource quantity and reserve evaluation, and solves the problem that the existing method is difficult to accurately describe the influence of formation water distribution and salinity on formation water, thereby making the result of calculating the formation gas reservoir reserves inaccurate. The method comprises the following steps: S1: collecting basic data of target shale layer in a target area, and constructing a shale reservoir model consistent with the real underground situation; S2: inserting shale gas into the shale reservoir model; determining the size of the methane gas reservoir in the model; S3: inserting methane gas molecules under different temperatures and pressures into the three numerical models of the reservoir, and recording the calculated methane gas reservoir quantity simulation value; S4: establishing a three-dimensional data coordinate system; S5: establishing a quantitative fitting relationship between the methane gas reservoir quantity simulation value and the underground pressure and salinity conditions. The quantitative evaluation method can accurately calculate the result of the formation gas reservoir reserves.

The application discloses a Vibrio parahaemolyticus CJ5 and application thereof, and belongs to the technical field of microorganisms. The Vibrio parahaemolyticus CJ5 provided by the application is separated and screened from workshop water of a sea cucumber breeding base, the strain can efficiently and directionally degrade SC-FUC, the degradation product has a relatively high sulfate retention rate and a relatively concentrated molecular mass distribution, under the conditions that the growth temperature is 30 DEG C, the salinity is 3%, the pH value is 8.0 and the inoculation amount is 3%, the degradation rate of the strain to SC-FUC reaches 61.47%, the sulfate mass fraction of the degradation product is 34.55%, and the relative molecular mass distribution range is within 800 Da, so that the sea cucumber fucoidan with DP 2-5 can be prepared.

The application relates to the technical field of wastewater treatment, and discloses a high-salinity wastewater treatment device and a graphene composite material adsorption treatment process, which comprises a main body, a tank body is installed on the main body, a feeding pipe and a discharging pipe are arranged at the two ends of the tank body respectively, and a hollow shaft capable of rotating is installed in the tank body. In the salt scale non-generation stage in the initial stage of wastewater evaporation, the driving assembly can drive the scraper to move and separate from the inner wall of the tank body, thereby reducing unnecessary abrasion of the scraper, prolonging the service life of the scraper, and driving the scraper to contact the inner wall of the tank body again through the driving assembly when the salt scale is generated on the inner wall of the tank body. The driving assembly is favorable for cleaning the salt scale. When the scraper passes through the local high-heat position of the inner wall of the tank body, the driving assembly is started again, the driving assembly can adjust the pressure of the scraper on the inner wall of the tank body through the movement of the driving spring, thereby improving the scraping effect on the area and avoiding the residue of the salt scale.

This invention provides a method for preparing a high-salinity zinc oxide-resistant nanofluid mediated by Halomonas sp. and its application in enhancing oil recovery. Specifically, it includes: a Halomonas sp. strain CDH-2, with accession number CCTCC NO: M 2025786, which can rapidly grow in high-concentration salt solutions and produce salt-resistant extracellular metabolites. Fermenting and culturing CDH-2 under high-salt conditions yields a fermentation broth with a surface tension below 30 mN / m. Mixing and culturing the obtained fermentation broth with a metal precursor solution yields a high-salinity-resistant metal nanofluid. The resulting metal nanofluid maintains good stable dispersibility in high-salinity water and effectively reduces oil-water interfacial tension. It alters the wettability of oil-wetting surfaces, emulsifies and disperses crude oil, and reduces crude oil viscosity. Therefore, it can be used as an enhanced oil recovery agent in high-salt reservoirs and is widely applied in oilfield flooding, well huff and puff, and heavy oil viscosity reduction.

This invention belongs to the field of fiber optic sensing technology, and discloses an integrated fiber optic sensor for seawater temperature, salinity, and depth based on a composite microstructure and its fabrication method. A single-mode fiber, a first coreless fiber, and a graded-index fiber are sequentially fused together to form a collimation structure for long-distance beam transmission. One end of the graded-index fiber is sequentially connected to a hollow-core fiber and a second coreless fiber. The core of the hollow-core fiber is filled with polydimethylsiloxane, located at the intersection of the cores of the graded-index fiber and the hollow-core fiber. The microsphere structure is divided into a cladding cavity and an air cavity from the outside to the inside. One end face of the second coreless fiber intersects with the air cavity and cladding cavity of the microsphere structure. Test results show that the integrated fiber optic sensor for seawater temperature, salinity, and depth based on the composite microstructure has the potential for integrated measurement of seawater temperature, salinity, and depth parameters.

This invention relates to the field of renewable energy power generation technology, specifically disclosing a comprehensive offshore renewable energy utilization system, including a platform, a seawater desalination unit, a salinity gradient power generation unit, and an energy storage unit. The seawater desalination unit has a waste inlet, and the salinity gradient power generation unit includes a permeation tank, a permeation membrane, and a first hydro-generator. The permeation membrane divides the internal space of the permeation tank into a concentrated seawater chamber and a fresh seawater chamber. The permeation tank has a first inlet connected to the concentrated seawater chamber and the waste inlet, a first outlet connected to the concentrated seawater chamber and the inlet of the first hydro-generator, a second inlet, and a second outlet. Both the first hydro-generator and the energy storage unit are electrically connected to a microgrid. This invention combines a seawater salinity gradient power generation system with a seawater desalination system, using the waste from the seawater desalination system as the extractant and ordinary seawater as the feed liquid. It utilizes the principle of osmotic pressure to convert the chemical potential energy of water into the required electrical energy, reducing the cost of seawater desalination and improving economic efficiency.

This invention discloses a method for improving saline-alkali land in semi-arid regions to enhance plant diversity, comprising the following steps: S1, construction of treatment units; S2, arrangement of treatment units; S3, preliminary soil treatment; S4, planting of plants; and S5, intensive soil treatment. This invention addresses the problems of high salinity and species scarcity in saline-alkali land in semi-arid regions, providing a complete treatment method. By deploying multiple treatment units to form a treatment system, combined with the soil conditioner specifically designed for this invention, the high salinity of saline-alkali soil in semi-arid regions can be alleviated. Simultaneously, by incorporating a phytoremediation system primarily composed of alkali plantations, the biodiversity of exposed saline-alkali land in semi-arid regions can be effectively enhanced. Furthermore, considering seasonal factors and other factors such as rainfall, a one-year treatment plan is ultimately developed. After treatment, the land can be selectively developed into ornamental wetlands or agricultural land, possessing significant economic value.

This invention proposes a salinity gradient control device, comprising: a crushing chamber and a mixing chamber; the crushing chamber is equipped with a crushing mechanism, which includes a power mechanism and a crushing execution unit driven by the power mechanism; the crushing chamber is positioned above and communicates with the mixing chamber; the mixing chamber is equipped with a mixing and agitating mechanism, which includes a power mechanism and a rotating cylinder for performing rotational operations; several stirring rods are inserted on the circumference of the rotating cylinder, all of which can move along their own axial direction, and a ball is installed at the end of each stirring rod located inside the rotating cylinder, and a spring is fitted onto it; a mandrel is coaxially arranged inside the rotating cylinder; the outer wall of the mandrel has an inner groove. This invention improves the uniformity of reagent dissolution, ensures the stable construction of subsequent salinity gradients, effectively adapts to the salinity control requirements of high-salinity wastewater pretreatment, and provides a reliable guarantee for the efficient operation of subsequent biological or physicochemical treatment processes.

The application relates to the technical field of seawater desalination systems, in particular to a seawater desalination high-pressure pump variable condition self-adaptive operation control method under wide temperature and salinity conditions, which comprises the following steps: firstly, collecting seawater temperature, salinity and high-pressure pump inlet / outlet pressure, flow and motor rotating speed in real time; secondly, establishing a seawater physical property dynamic model based on the collected data, calculating seawater density and dynamic viscosity; thirdly, constructing a high-pressure pump variable condition operation dynamic mathematical model, outputting lift, shaft power and efficiency; fourthly, combining a target water production rate, adopting self-adaptive PID and fuzzy control to generate a rotating speed instruction, controlling pump speed through frequency conversion driving and correcting parameters in real time; and simultaneously, adding a fault diagnosis module to early warn against stall, leakage and other faults. The method can effectively broaden the high-efficiency area of the high-pressure pump, optimize energy consumption, improve control precision and equipment reliability, and adapt to the seawater desalination demands of multiple scenes such as coastal areas, islands and ships.

This application relates to a purification method and apparatus for high-salinity wastewater. The purification method, used in a high-salinity wastewater purification device, includes: monitoring the initial mass fractions of sodium, calcium, and magnesium salts in a container; obtaining target mass fractions of sodium, calcium, and magnesium salts; simultaneously inputting the initial and target mass fractions into a trained purification strategy model, outputting initial control parameters for the purification device; the purification device executing the initial control parameters and acquiring the current control parameters in real time, inputting the current control parameters into the purification strategy model, and the purification strategy model outputting dynamic control parameters to the purification device; the purification device completing the purification of the high-salinity wastewater using the dynamic control parameters. This method allows for the configuration of optimized parameters matching the current water quality for each treatment module at the start of the purification process.

The application discloses a kind of ocean suspended matter concentration underwater acoustic federal detection method combined with all-weather remote sensing, belong to marine environmental monitoring technical field.The method includes: center server initializes CNN-LSTM-Attention global model and is issued to each underwater acoustic sensing node;Node utilizes local collection underwater acoustic signal and temperature, salinity, depth data, combines concentration label generated by remote sensing image inversion and matching, trains local model;Node uploads after model parameter compression training;Server carries out effectiveness evaluation and aggregation to parameter, updates global model and is issued again, carries out multiple rounds of federal iteration optimization;Finally, the trained global model is distributed to all nodes for online concentration prediction.The application fuses multi-source data and federal learning, solves the problem of insufficient generalization ability, large data transmission and calculation pressure of traditional method, realizes high-precision, high-efficiency, large-scale distributed collaborative detection of ocean suspended matter concentration.

The application of prediction method for diffusion behavior of underground hydrogen in pore scale of water-containing clay mineral belongs to the technical field of underground hydrogen energy storage and unconventional gas migration prediction, and the key point is to fill water molecules and salt ions into the pores according to the target water saturation and salinity; the initial model of the water-containing clay mineral pores is pre-equilibrated by the molecular dynamics method; hydrogen molecules are filled under the given temperature and pressure conditions by the grand canonical Monte Carlo method, and the hydrogen pressure is corrected by the SRK-EOS state equation; the hydrogen diffusion simulation is carried out by the molecular dynamics method with temperature and fugacity as input parameters, the mean square displacement of hydrogen in the pores is calculated, and the self-diffusion coefficient is obtained; the application can quantitatively characterize the diffusion rate change rule of hydrogen in the clay pores under different water film thickness, salinity and temperature and pressure conditions, and reveal the diffusion inflection point, diffusion inhibition stage and migration restriction mechanism caused by the water film or water bridge structure.

This invention discloses a biochemical treatment device and method for producing water from high-salinity gas fields via MVR distillation. The device includes a base, a biochemical tank at the top of the base, a support frame on the side of the base, and a collection mechanism below the support frame that automatically detects and collects excess sludge. A sealing mechanism is installed on the side wall of the biochemical tank, and a filter plate is installed inside the tank. This invention, through the configuration of a drive motor, an electric telescopic rod, a fan-shaped collection chamber, a first trapezoidal block, a contact rod, a reciprocating switch, and a second trapezoidal block, achieves automatic cleaning when the sludge reaches half the capacity of the biochemical tank, preventing a reduction in tank volume from affecting biochemical treatment efficiency. Furthermore, the adjustment mechanism gradually increases aeration as aerobic bacteria multiply, ensuring sufficient oxygen for nitrification and maintaining the wastewater treatment efficiency of the biochemical tank. This adaptive adjustment requires no manual intervention and is convenient and quick.

This invention discloses a method and system for emission control of high-salinity wastewater through cascaded evaporation and concentration, relating to the field of intelligent control technology. The method includes: heating the high-salinity wastewater with an external heat source, employing seed deposition and frequency conversion regulation based on a fluid shearing device to perform evaporation and concentration treatment in the precipitated phase state, obtaining a concentrated liquid with low scaling tendency; sequentially flowing the concentrated liquid into a temperature-controlled crystallizer connected in series in a gradient separation unit for temperature control stabilization and gradient separation treatment to obtain the separation result; and multi-threaded transport and post-processing of the various crystalline components and mother liquor based on the separation result. This invention solves the technical problem in existing technologies where the differences in salt composition during high-salinity wastewater treatment are difficult to effectively identify and target, leading to insufficient adaptability and low overall treatment efficiency. It achieves the technical effect of adaptive optimization and adjustment of the treatment path based on changes in salt composition, thereby improving overall treatment efficiency and operational stability.

This invention provides a method for reconstructing, evaluating, assimilating, and forecasting ocean temperature and salinity fields based on satellite remote sensing inversion, belonging to the field of marine observation technology. This invention employs a multi-source satellite data time-series flow fusion algorithm based on transmission optimality theory to time-align sea surface parameters at adjacent time points. Then, an adaptive dynamic weighted isodense surface optimal interpolation algorithm outputs a global three-dimensional temperature and salinity reconstructed field and point-by-point uncertainties. Subsequently, an artificial intelligence model for ocean temperature and salinity profile reconstruction, with a denoising diffusion probability model as its backbone, generates a three-dimensional temperature and salinity profile set and profile uncertainty distribution. The number of denoising steps is dynamically adjusted through a comprehensive uncertainty scoring function. Finally, the optimal interpolation assimilation system, using a masked profile set and the reconstructed field input set, completes the assimilation and drives an ocean numerical prediction model. This solves the problem of difficulty in effectively controlling three-dimensional temperature and salinity field inversion errors caused by time asynchrony in multi-source satellite observation data.

The present invention describes a petrophysical modeling method that integrates well nuclear spectroscopy data and interpretations with some input petrophysical parameters, decomposing the hydrogen and chlorine signals into their specific origins, such as well drilling fluid, kerogen, water, and hydrocarbons in the pores. The model consists of a set of equations that are solved sequentially with input values defined by Monte Carlo simulation, from which properties such as salinity, porosity, density, sigma, and hydrogen index of the kerogen are calculated. The acceptability of such results is verified by comparison with logs such as density, porosity by NMR, and macroscopic cross section of thermal neutron capture.

This invention discloses a dynamic assessment method for sedimentation load in sewage pipe networks based on graph convolutional networks (GCNs). It relates to the field of GCN technology and aims to solve the technical problem of disconnect between dredging and anti-corrosion operation and maintenance decisions caused by a vicious cycle of mutually reinforcing corrosion and sedimentation in high-salt, high-corrosion industrial parks. The method includes: S100, constructing a training dataset; S200, training a sedimentation load assessment model; S300, generating real-time multi-dimensional node feature vectors; S400, model inference and outputting assessment results; S500, calculating a composite risk index and generating an operation and maintenance plan; and S600, incremental learning and updating the model. This invention designs a salt corrosion coupling feature weight adjustment algorithm, combined with a spatiotemporal feature fusion architecture of GCN graph convolutional layers and GRU temporal convolutional layers, to construct a salt corrosion coupling constraint module, achieving accurate quantification of the interaction between salinity concentration and corrosion rate in high-salt, high-corrosion industrial parks.

The application discloses a kind of high salinity mine water deep well reinjection water quality and the coordinated determination of injection pressure method, specifically includes: collecting reinjection area geological data, hydrogeological data, groundwater sample and rock sample;Stratum i foundation hydrogeological model of reinjection is constructed;Develop reinjection high salinity mine water reinjection water chemistry numerical simulation, determine the ion component concentration threshold value, according to the ion component concentration determined configuration corresponding aqueous solution, obtain reinjection water quality parameter;According to the set reinjection flow and the service life of reinjection well, the total amount of design reinjection of reinjection well is calculated, and the corresponding limit pressure is calculated.The application realizes the coordinated determination of water quality index and injection limit pressure index based on the establishment of hydrogeological model, solves the problem that the past reinjection index determination relies on field practice experience determination is not rigorous, the method of the present scheme is clear in structure, logic is easy to understand, calculation process is simple, and is easy to popularize and apply.

The application discloses a kind of reservoir water resource optimal allocation method based on multi-stage multi-objective belonging to water resource management technical field, comprising the following steps: A, predict the water resource demand, water resource available quantity, social economy and other basic data in basin;B, with the maximum unit water resource utilization benefit as target, with reservoir water balance, irrigation and power generation water demand, salinity leaching and so on as constraint condition, construct water resource optimal allocation model;C, coupling fixed combination stochastic programming and fractional programming method is solved to model, according to the water resource shortage obtained under different probability level arrangement production to reach maximum unit allocation water benefit.The application fully considers the necessity of joint management of upstream hydropower generation and downstream agricultural irrigation in reservoir management system, reasonably allocates water resources, land resources and energy in the basin, obtains the maximum unit allocation water benefit, so as to relieve water contradiction and improve the utilization efficiency of resources.

The application belongs to the technical field of metal corrosion protection, and particularly relates to a composite gas-phase corrosion inhibitor for extreme marine atmospheric environment, a preparation method thereof and application thereof in the protection of metal parts in the field of offshore wind power, ships, offshore platforms and other marine engineering. The composite gas-phase corrosion inhibitor comprises, by mass fraction, 1-2 parts of benzotriazole, 3-5 parts of cysteine, 0.5-1.5 parts of sodium phytate and 6-8 parts of cyclohexylamine carbonate. The application forms a stable and dense protective film on the surface of copper through the synergistic effect of the components, and can effectively block the coupling erosion of high temperature, high humidity, high salinity and strong radiation in the extreme marine atmospheric environment. Experiments show that the corrosion rate of copper sheets can be reduced by more than 95% in the simulated extreme marine atmospheric corrosion liquid. The application has the advantages of strong adaptability to extreme environment, excellent and long-lasting corrosion inhibition effect, environmental protection, non-toxicity, simple preparation, low cost and the like, and is suitable for long-term protection of copper metal components in the field of offshore wind power and other marine engineering, and has a wide application prospect.

This invention discloses a method for preparing a high-salinity intelligent responsive cement-based anti-salt corrosion and self-healing material. The method includes constructing an intelligent responsive base by preparing a microcapsule self-healing agent and regulating the ZIF-8 preparation process, followed by in-situ growth of Mg-Al-LDH and functional film coating. This achieves the synergistic functions of active anti-salt corrosion, efficient and stable self-healing, promoting cement hydration, and regulating ion adsorption in high-salt environments. This invention can accurately sense changes in high-salt environments and intelligently release the self-healing agent, realizing the dual functions of anti-salt corrosion and self-healing in cement-based materials. It can be widely applied in cement-based engineering projects in high-salt environments such as marine and salt lake environments, extending the service life of concrete structures.