114 results about "High mountain" patented technology

The invention relates to the technical field of synthetic aperture radars, discloses a method for monitoring activity of a high-order loose body based on multi-source SAR data, and aims to solve the problem that an existing high-order loose body activity identification mode is poor in accuracy. Obtaining multi-source SAR data and carrying out adaptive preprocessing; extracting a maximum back scattering feature and quantifying activity; carrying out activity identification and multi-scale feature analysis on the high-position loose body; and comprehensively evaluating the multi-dimensional risk of the movable high-position loose body. Through organic combination of multi-track collaboration, fine feature extraction and multi-dimensional model evaluation, an effective scheme is provided for solving the problems that early recognition of the high-position loose body in the alpine and valley region is difficult and risk evaluation is inaccurate, and the accuracy and timeliness of monitoring and early warning are remarkably improved.

The invention relates to the technical field of radar remote sensing, discloses a high-order loose body historical activity detection method based on multi-source DEM data, and aims to solve the problem that the historical activity of a high-order loose body in a glacier coverage area is difficult to accurately and quantitatively evaluate in the prior art. The scheme mainly comprises the steps that drainage basin units are automatically divided based on DEM data, and glacier influence areas are screened; multi-source DEM data are fused, and system errors are eliminated through geographic positioning deviation correction, elevation distortion deviation correction and track mode deviation correction; establishing a penetration depth physical model, and correcting the radar penetration depth in the glacier area by using the C / X wave band elevation difference optimization parameter; calculating an elevation change rate by adopting robust regression; and calculating an activity comprehensive index by integrating multiple factors, and identifying a hot spot region and a time period through probability estimation and spatio-temporal clustering. According to the method, automatic and high-precision quantitative evaluation on the historical activity of the high-position loose body is realized, and the method is particularly suitable for geological disaster early warning and risk evaluation in high mountain areas.

The invention discloses a plateau mountain area avalanche susceptibility intelligent assessment method, and relates to the technical field of high mountain ice and snow disaster space early warning and risk mapping. According to the method, the influence of the microtopography is captured by adopting high resolution, the evaluation accuracy is improved, the control effect of the slope microtopography (the scale of 30-50 m) on the accumulated snow stress field can be accurately captured by adopting a factor map layer (based on data such as 12.5 mALOSPALSARDEM and Landsat-8OLI images) with the spatial resolution of 12.5 m, and compared with traditional 30mDEM and hectometer-level meteorological reanalysis data, the method has the advantages that the evaluation accuracy is greatly improved, and the evaluation efficiency is improved. Spatial differences of key factors such as terrains, earth surfaces and meteorology can be depicted more carefully, more accurate basic data support is provided for avalanche susceptibility assessment, and missing of key microtopography influence factors due to insufficient resolution is avoided.

The invention relates to the technical field of geological disaster monitoring, and discloses an unmanned aerial vehicle aerial survey intelligent identification and grading method and system for geological disaster hidden danger points, and the method comprises the steps: converting a pixel-level identification result into hierarchical data which retains a spatial topological structure through constructing a confidence quad-tree; establishing a weighted decision grid based on aerial survey parameters to realize coupling modeling of observation conditions and confidence uncertainty, calculating topology difference to generate a spatial difference field to quantify the deviation degree of a confidence field and a standard grading decision surface, and finally executing self-adaptive grading judgment to output a risk grade result with a confidence label; according to the method, the problem of confidence field and decision boundary space topology mismatch caused by truncation of confidence continuous measurement information in a grading stage in a traditional serial architecture is solved, systematic underestimation of misjudgment risks in observation condition limited areas such as alpine and gorge areas is avoided, and consistency of actual credibility of a risk quantification result and a nominal grade is realized.

The invention discloses an operation high-speed rail tunnel exit tall slope collapse rockfall construction method and system, relates to the technical field of rockfall protection, and is applied to an operation mountain with a structure denudation type high and steep high mountain and hill landform at an operation high-speed rail tunnel exit. The distribution and characteristics of the dangerous rock mass can be accurately presented; the model is subjected to region division to obtain a plurality of dangerous rock risk regions, so that detailed distinguishing of different risk regions can be realized; carrying out slope stability evaluation on each dangerous rock risk area and determining a risk level, so as to clearly quantify a risk condition; corresponding slope protection components are matched according to the risk levels, so that selection of the protection components is more targeted; and finally, scaffold platforms of all dangerous rock risk areas are built, operation is carried out through protection components, effective implementation of protection work is guaranteed, then pertinence and reliability of slope protection can be improved, and safety risks and resource waste caused by improper protection are avoided.

The invention discloses an SEM-FEM-SPH simulation method and an SEM-FEM-SPH simulation system for a three-dimensional seismic source-landslide. According to the method, a spectral element method, a finite element method and a smoothed particle fluid dynamics method are combined, and simulation of the whole process from seismic source fracture to landslide starting, slippage and accumulation triggered by space seismic oscillation is achieved. The method comprises the following steps: simulating a regional seismic wave field through a spectral element method to generate a local slope spatial non-uniform seismic motion field, proposing a local slope FEM-SPH three-dimensional bridge domain coupling model considering a complex terrain effect, and realizing seamless connection of a regional scale SEM model and the local FEM-SPH coupling model based on an internal input method. According to the method, the limitation of uniformly inputting assumed and preset slip crack surfaces in traditional earthquake landslide simulation is overcome, direct numerical simulation of the whole process from seismic source fracture to earthquake triggered landslide inoculation, migration and accumulation under the high mountain and valley complex site condition can be realized, and a key technical support is provided for earthquake landslide disaster risk assessment.

The invention discloses a leontopodium alpinum callus extract as well as a preparation method and application thereof, and belongs to the technical field of plant active ingredient extraction. The leontopodium alpinum callus extract is prepared by the following steps: mixing leontopodium alpinum callus freeze-dried powder with a buffer solution, adding cellulase, pectinase and beta-glucanase, uniformly mixing, reacting to obtain primary enzymolysis slurry, adjusting the primary enzymolysis slurry to be neutral, adding phospholipase A2, stirring, reacting to obtain deep enzymatic hydrolysate, filtering, washing, and drying to obtain the leontopodium alpinum callus extract. Transferring into an extraction kettle, adding an entrainer, and extracting to obtain a leontopodium alpinum extract; dissolving soybean phospholipid and cholesterol in ethanol to obtain an organic phase; dispersing the leontopodium alpinum extract in a buffer solution to obtain an active matter water phase; and injecting the organic phase into the active matter water phase, stirring, carrying out reduced pressure distillation, and homogenizing. The preparation method provided by the invention can efficiently and completely obtain the active component, and the nano-liposome formed by phospholipid molecules can effectively improve the stability of the active component.

The invention discloses a hierarchical avalanche prediction method and system based on a support vector machine, and belongs to the technical field of avalanche disaster prediction, and the method comprises the following steps: (1) obtaining an avalanche hidden danger region through historical disaster records, literature literature and field investigation in combination with a multi-source remote sensing image; collecting and unifying terrain, weather, accumulated snow and water system data, and constructing a sample feature space; (2) taking the avalanche hidden danger point as a positive sample to generate a positive sample set; generating a negative sample set according to a negative sample construction strategy; (3) inputting the positive samples, the negative samples and the environmental factors into a support vector machine model for training to obtain an avalanche susceptibility prediction model; (4) evaluating model precision by adopting cross validation and an independent test set, and optimizing model parameters; and (5) grading prediction results, and outputting an avalanche susceptibility partition map. According to the method, the accuracy and robustness of sample sparse region avalanche prediction can be improved, and reliable support is provided for avalanche disaster early warning and risk management in a high mountain complex environment.

The invention relates to the technical field of geological disaster prevention and control, and discloses a mountain and valley area landslide hazard source identification and dynamic risk assessment method, which is characterized by comprising the following steps: S1, regional disaster-pregnant mode analysis and identification target region delineating: constructing a comprehensive susceptibility evaluation model, and delineating investigation target regions with different priorities in combination with InSAR deformation monitoring; s2, fine identification of a potential sliding source: accurately identifying a landslide boundary and a deep structure by adopting a'satellite-aircraft-ground 'cooperative technology combining multi-stage LiDAR topographic change detection, unmanned aerial vehicle multispectral and thermal infrared detection and geophysical exploration; and S3, dynamic risk assessment: establishing a dynamic and static load coupling stability model considering rainstorm and earthquake working conditions, calculating an instability probability by adopting Monte Carlo simulation, and realizing quantitative risk classification in combination with vulnerability analysis of a disaster-bearing body. According to the invention, early identification, accurate positioning and dynamic risk quantification of landslide hazard sources are realized, and the prevention and control capability of landslide disasters in alpine and valley areas is improved.

The present application relates to a preservative-free anti-aging soothing composition containing high mountain plant extract and multiple fermentation filtrate, belonging to the technical field of cosmetics. The composition comprises high mountain plant extract complex, multiple fermentation filtrate, anti-aging active and vegetable oil. The organic acids in the multiple fermentation filtrate form a natural buffer system, maintaining a weakly acidic environment to inhibit microbial growth; at the same time, the natural components in the fermentation filtrate provide protection for nicotinamide mononucleotide and ergothioneine, delaying their degradation. The present application does not need to add additional preservatives, and has the functions of anti-aging, soothing and self-preserving.

The invention relates to a gravity type anchoring super-long cableway bridge in a complex wind field alpine and canyon area and a construction method, which are characterized by comprising the following construction steps: step 1, construction preparation; step 2, rock anchor cable construction; thirdly, concrete anchorage pier construction is conducted; fourthly, I-shaped steel distribution anchor beams are installed; step 5, mounting a bearing cable; sixthly, a handrail steel rope is installed; seventhly, bridge deck system cross beams are installed; 8, mounting a bridge floor steel wire mesh; ninthly, angle steel guardrails are installed; and tenthly, wind cable construction is conducted. The cableway bridge is constructed above the riverway in the alpine and gorge area of the complex wind field to assist in construction of rigid frame bridge beams and pier columns, and the problems that no construction road exists on cliff walls on the two sides of the riverway, water flow kicks rapidly in the waterlogging period, and transportation of materials, personnel and small construction machines cannot be conducted are solved.

The invention belongs to the technical field of synthetic aperture radars, and discloses a high mountain and valley region-oriented SAR corner reflector arrangement method, which realizes accurate positioning and installation angle optimization of an SAR corner reflector by introducing an MDDG model and an R index evaluation index and combining GNSS high-precision positioning and R-D equation iterative optimization, and improves the positioning accuracy of the SAR corner reflector. High spatial precision and long-term stability of InSAR monitoring are ensured; according to the method, after the SAR corner reflector is installed, the installation angle is optimized through RCS time sequence analysis and UAV image; according to the method, the installation stability, the signal reflection quality and the observation precision of the SAR reflector can be improved, the arrangement and positioning of the reflector can be optimized especially under complex terrain and environment conditions, and the problems of signal attenuation, shielding, positioning errors, signal aliasing and the like of the reflector in the prior art are solved.

The invention provides a glacial lake outburst small watershed identification method and system based on valley landform characteristic indexes, and belongs to the technical field of glacial lake outburst small watershed identification, and the method comprises the steps: S1, obtaining elevation data and multi-stage remote sensing image data; s2, identifying a channel and a glacial lake, determining the position of the channel and the position of the glacial lake, and calculating the average gradient of the upstream and the downstream of the glacial lake along the channel direction; s3, obtaining a b value of the upstream of the glacial lake in the vertical channel direction and a b value of the downstream of the glacial lake in the vertical channel direction; s4, calculating the GLBN value of the small watershed according to the average slope of the upstream of the glacial lake in the channel direction, the average slope of the downstream of the glacial lake in the channel direction, the b value of the upstream of the glacial lake in the direction perpendicular to the channel direction and the b value of the downstream of the glacial lake in the direction perpendicular to the channel direction; and when the GLBN value is greater than an identification threshold value, determining that the small watershed is a glacial lake outburst small watershed. According to the method, ice lake outburst small watershed identification of high mountain areas without people and areas without historical data records is carried out through gully landform characteristic indexes of slope mutation and valley type conversion.

The utility model belongs to the technical field of lightning protection, and particularly relates to a cage-shaped lightning arrester in a high mountain area, which comprises an upper lightning guide ring, a lower lightning guide ring and a plurality of unit lightning rods, the plurality of unit lightning rods are annularly distributed around a set area of a high mountain area, the set area is used for installing electronic equipment, and the height of the upper end of the electronic equipment is smaller than that of the spire of any unit lightning rod; the upper lightning guide ring is electrically connected with the upper portions of all the lightning rods, and the lower lightning guide ring is located below the upper lightning guide ring and electrically connected with the lower portions of all the lightning rods. According to the scheme, the plurality of unit lightning rods are arranged in multiple directions, so that the lightning protection effects of the electronic equipment in different directions are effectively improved, and the electronic equipment is suitable for high mountain areas where lightning strokes frequently occur; in addition, the lightning conductor rings are used for electrically connecting all the unit lightning rods, so that electrical conduction between adjacent lightning rods is realized, and the lightning protection performance is further improved. Therefore, the direct damage of thunder and lightning to the protected electronic equipment can be effectively reduced.

The utility model relates to the field of recovery device discloses a device convenient to high mountain recovery, including long pole, the long pole top fixedly installed with rectangle box, the rectangle box bottom plate upper surface fixedly installed with electric telescopic rail, the inside fixed setting of rectangle box one side board is provided with the limit block, the lower surface of limit block is provided with the cylindrical through -hole, the electric telescopic rail passes through the cylindrical through -hole of limit block lower surface, the bottom end surface of long pole is equipped with the soft pad, long pole is slidably arranged with support frame on the soft pad upper end, the top cylindrical hole of support frame is screwed with bolt, long pole is set up with a plurality of limit hole on the soft pad upper end. In the utility model, two blades are contacted and sheared through the electric telescopic rail, and the sliding frame is clamped, so that the picking of medicinal materials can be completed by one hand, the support frame is set up as the support, the pressure of the device on the wrist is reduced, and the picking is more stably carried out.

The present application relates to the technical field of storm flood disaster assessment, and specifically provides a storm flood disaster assessment method and system based on multi-scale precipitation data, which comprises the following steps: obtaining a digital elevation model of a target region, calculating a terrain curvature distribution field and an elevation mutation characteristic field, obtaining a terrain vertical gradient zone and arranging a multi-layer ground precipitation observation site group; generating a vertical weight factor according to the altitude distribution of the observation site, combining the radar beam direction with the terrain slope to generate a slope-shielding coefficient; fusing ground-based radar, satellite remote sensing and ground site data, generating a terrain-optimized precipitation field through the vertical weight factor and the slope-shielding coefficient; inputting the precipitation field into a terrain-coupled flood model, combining a water flow path network and a soil infiltration correction mechanism to deduce the spatial distribution of disasters. The present application solves the problem of observation distortion caused by terrain shielding and precipitation vertical differentiation in high mountain and canyon areas, and significantly improves the accuracy and reliability of storm flood disaster assessment.

The invention discloses a glacier surface accumulated snow identification method using time sequence optics and SAR data. The method comprises the following steps: generating a monthly-scale cloudless NDSI composite image; constructing a wet snow-non-wet snow binary training sample set of spatial-temporal distribution, and constructing a monthly-scale wet snow distribution prediction model based on a convolutional neural network to perform spatial-temporal feature learning; obtaining a month-by-month wet snow distribution diagram of a corresponding year, and calculating and generating a glacier surface annual wet snow coverage frequency distribution diagram; in combination with backscattering coefficient characteristics of the time sequence SAR image, establishing an SAR image wet snow discrimination threshold dynamic calculation model by counting backscattering coefficient distribution of the time sequence SAR image, and extracting wet snow distribution of the multi-temporal SAR image; and for the obtained residual area outside the wet snow distribution area, terrain slope direction parameters are extracted through a digital elevation model, classification constraints are constructed in combination with accumulated snow seasonal characteristics, and fine distinguishing of dry snow and glacier ice is realized. According to the invention, the automation degree and classification precision of high mountain area accumulated snow classification are improved.

1. Name of the designed product: packing bag (high mountain green fine bamboo shoot). 2. Use of the designed product: used for food packing bag. 3. Design points of the designed product: combination of shape and pattern. 4. Picture or photo showing the design points: front view.

The application discloses a kind of high mountain and gorge area landslide risk monitoring method and system based on single-track InSAR data, it is related to high mountain and gorge area landslide monitoring technical field, including steps: obtaining the single-track visual deformation point array data and digital elevation model data of target area in each phase;Obtain regional slope;Get vertical deformation data;Extract to obtain reliable coherent data points;The data filling of vertical deformation is obtained to obtain incoherent initial filling data points, and incoherent reliable filling data points are obtained;Obtain the reliable deformation time series point cloud graph corresponding to observation period;Based on reliable deformation time series point cloud graph, obtain the period deformation data of target area in observation period.The method provided by the application does not carry out filling repair to the InSAR missing data points caused by shooting shielding, carries out filling repair to the InSAR missing data points caused by landslide related physical reasons, enhances landslide risk identification data amount, and is favorable to improve landslide risk identification precision.

1. Name of the designed product: packing bottle (high mountain show). 2. Use of the designed product: used for containing liquid. 3. Design points of the designed product: in shape. 4. Picture or photo that best shows the design points: perspective view.

1. Name of the designed product: pressure reducing valve (high mountain tank) 2. Use of the designed product: pressure reducing valve for natural gas, liquefied gas, etc. 3. Design points of the designed product: in shape 4. Picture or photo that best shows the design points: perspective view

The utility model relates to the technical field of isolation net, and the utility model discloses a kind of insect-proof isolation net for green prevention and control of high mountain vegetables, including first mounting post and the second mounting post in the right end of first mounting post, the end of first mounting post and second mounting post is close to each other and is equipped with lifting groove, the lower end surface of lifting groove inner chamber is fixedly connected with unwinder, the outer wall of unwinder is fixedly connected with isolation net, the upper end of isolation net is fixedly connected with lifting plate, the upper end surface of lifting plate is fixedly connected with the lifting mechanism of adjusting the height of isolation net, the utility model makes lifting plate move up and down inside lifting groove by the rotation of lifting mechanism, the height adjustment of isolation net is realized by the up-and-down movement of lifting plate, when personnel need to enter vegetable planting area, lifting mechanism reverses and then makes isolation net move downwards, so personnel enter, so it is guaranteed that isolation net is insect-proof, and personnel's entry and exit are facilitated.

1. The name of the design product: screen back storage box (BD-high mountain 015). 2. The use of the design product: the design product is used for accessories on the car, which can be installed behind the screen of the central control to store items. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The invention relates to the field of water conservancy and hydropower facilities, in particular to a design method of a gully water and debris flow prevention and control system for achieving gully water and debris flow cooperative prevention and control between adjacent branch gully, and the design method comprises the following steps: a, determining a building level, a flood standard and an emergency flood drainage standard; b, determining a first water inlet and a second water inlet; c, the flood flow and the total solid matter amount of the branch ditches and the emergency flood drainage flow of the corresponding emergency flood drainage channel are determined; d, determining the scale of a second retaining dam and the scale of a second drainage tunnel; e, determining the scale of a second blocking dam; f, determining the scale of a first retaining dam and the scale of a first drainage tunnel; g, determining spatial arrangement positions of a first emergency flood drainage channel of the first branch ditch, a second emergency flood drainage channel of the second branch ditch and a confluence drainage channel; determining the scale of the first emergency flood drainage channel, the scale of the second emergency flood drainage channel and the scale of the confluence drainage channel. The method is suitable for the channel engineering of the hydropower station in the alpine and canyon region.

The invention relates to the technical field of fertilization equipment, and particularly discloses an oriental goat bean planting fertilization fixing device which comprises a material storage pipe and a fertilization mechanism, a funnel is fixedly connected to the inner surface of the bottom of the material storage pipe, and the fertilization mechanism is fixedly mounted at the bottom of the material storage pipe. The top of an elastic telescopic rod is limited by a limiting rod and cannot incline, and the bottom of the elastic telescopic rod can synchronously drive a second hinge seat to slide in a sliding groove when moving along the sliding groove, so that the working stability of the equipment is further improved; meanwhile, the inclinable lower mounting ring enables the equipment to be matched with slopes with different inclination angles for fertilization, the applicability of the equipment is greatly improved, and the lower mounting ring and the upper mounting ring are closed through the arranged corrugated pipe, so that a relatively closed cavity is formed during fertilization, and the fertilization efficiency is improved. The problem that the fertilizer is blown away and cannot be accurately fertilized due to strong wind during fertilization on the high mountain slope is avoided.

The utility model discloses a tower pole inclination monitoring device based on natural disasters, which relates to the technical field of tower pole inclination monitoring and comprises a tower body, a connecting piece, an elastic piece, an induction piece and a monitoring terminal. Wherein the tower body is used for supporting a high-voltage cable, supporting legs are arranged at the bottom of the tower body and fixed to the ground, the connecting pieces are arranged on the supporting legs and used for being connected with the elastic pieces, the elastic pieces are connected between the connecting pieces and the induction pieces, and the induction pieces are used for inducing stress of the elastic pieces. At the moment, the sensing piece receives the elastic force of the elastic piece and electrically transmits information to the monitoring terminal, and the monitoring terminal analyzes the information and then calculates the inclination direction and angle of the tower body. According to the utility model, whether the tower pole is inclined can be continuously monitored through the mode, so that the inclination of the tower pole in a high mountain, a canyon and other areas which are difficult to be manually monitored in a natural environment can be sensed in the first time, and the safety of high-voltage power transmission is improved.

The present invention belongs to the field of radar technology, and specifically relates to a method for estimating low elevation angles in high-altitude mode for a meter-wave MIMO radar based on dual carrier frequencies. The method comprises the following steps: Step 1: Assuming the MIMO radar is a co-located transmitter-receiver system, matched filtering is performed on the MIMO radar's transmitted signal, and the data is vectorized. Finally, the phase difference caused by the path difference between the MIMO radar's direct and reflected waves, as well as the radar received data, is obtained; Step 2: A maximum likelihood estimation criterion is established for calculating spatial spectrum values; Step 3: Based on the received data from Step 1, the spatial spectrum values ​​are calculated using the maximum likelihood estimation criterion from Step 2, and the peak values ​​of the spatial spectrum values ​​are read. The maximum value is used as the estimated value of the low elevation angle of the meter-wave MIMO radar in high-altitude mode. The present invention transplants dual carrier frequencies from conventional arrays to MIMO array radars, while improving the original dual carrier frequency algorithm, reducing the computational complexity by half. Simulation experiments demonstrate the effectiveness of the algorithm.

The application provides a kind of atmospheric delay correction method, system and computer readable medium of time series InSAR monitoring data, which can serve the accurate estimation and correction of InSAR atmospheric delay in high mountain and canyon area, realize the reading of time series InSAR high coherence point correlation information based on the input SAR image, such as phase, elevation, initial deformation rate, unwrapping closed loop error, etc., window segmentation is carried out on InSAR interferogram by sliding multi-window with a certain overlap degree, linear model parameters in each window are iteratively estimated, and finally the estimated average deformation rate and time series deformation variable of each point are output. Through the application, the atmospheric delay correction of InSAR monitoring data in high mountain and canyon area dominated by vertical stratification can be realized, which provides an effective way for time series InSAR technology in high mountain and canyon area to overcome the influence of atmospheric delay, and improves the precision and applicability of time series InSAR technology in surface deformation monitoring in high mountain and canyon area.

The invention relates to the technical field of navigation control, in particular to a control network construction method based on dynamic optimization of an unmanned aerial vehicle reconnaissance agent, and the method comprises the steps: carrying a panorama camera and a GNSS actual measurement module through an unmanned aerial vehicle, collecting control point data in real time, and feeding back the data to an AI agent; dynamically correcting the adaptation degree factors of the control points and iteratively optimizing the flow and collaborative logic of the control points, a control point multi-factor dynamic evaluation and screening model, and a mechanism for dynamically adjusting factor weights according to project targets; for high mountains, dense forests and other scenes, after temporary sheltering objects or terrain obstacles are recognized through an unmanned aerial vehicle, the AI intelligent agent automatically supplements logic of candidate points in a precision gap area. According to the method, the precision and reliability of the control network are greatly improved, the working efficiency is remarkably improved, the design period of the control network is shortened, the adaptability to a complex environment is enhanced, and interference such as shielding and multi-path effect can be accurately coped with through multi-source data fusion.

The application discloses a Rana spinosa anti-oxidative peptide and application thereof. The Rana spinosa anti-oxidative peptide disclosed by the application is a cyclic peptide composed of 29 amino acids, the amino acid sequence of which is shown as SEQ ID NO. 1, and the seventh cysteine and the twelfth cysteine form an intramolecular disulfide bond. The application also discloses a nucleotide encoding the Rana spinosa anti-oxidative peptide. The Rana spinosa anti-oxidative peptide has good anti-inflammatory and anti-oxidative effects, can protect plasmid DNA damaged by H2O2, inhibit the accumulation of active oxygen of zebra fish larvae and the migration of neutrophils induced by CuSO4, and relieve the skin damage of mice induced by UVB radiation.