1159 results about "Natural environment" patented technology

Provided is an intelligent monitoring system for an oil development platform. The system includes external environment monitoring of a well platform, internal environment monitoring of the well platform and platform construction, where the external environment monitoring of the well platform includes real-time monitoring of natural environment conditions around an offshore oil development platform, the internal environment monitoring of the well platform includes collection and analysis of various indexes inside the oil well platform, and the platform construction is based on a three-layer structural design including a sensing layer, a transmission layer and an application layer. The sensing layer collects environmental data of ocean and the well platform through an Internet of Things technology, the transmission layer rapidly transmits data to ensure real-time updating of information, and the application layer processes received data to realize fusion and visualization of the data.

Systems, methods, and computer-readable media for aerial localization in the absence of satellite (e.g., global navigation satellite system (GNSS)) signals while flying over heterogeneous environments. The present embodiments provide a training strategy for robust cross-seasonal image matching in complex, real-world environments. The challenge put forward is to successfully localize a UAV flying over both densely and sparsely populated areas by means of image registration. To this end, the focus of the present embodiments can be on devising loss components to a visual recognition network that adequately embeds the diverse feature types on the ground. A normalized error metric can be provided as well in order to render a conceptually different method comparable to the present approach. The present technical contributions can provide robust visual recognition algorithms in challenging natural environments.

The invention relates to the technical field of port planning and construction, and particularly discloses a port planning and construction environment feasibility assessment method and system, and the method comprises the following steps: S1, obtaining planning parameters, real-time environment monitoring data, a historical ecological data set and social economic data of a target port; s2, constructing a dynamic coupling model of environmental bearing-ecological disturbance-pollution diffusion-social economic influence; and S3, based on the dynamic coupling model, adopting multi-scene space-time prediction simulation, and outputting an environmental feasibility comprehensive index, a key constraint factor and a social economic influence evaluation result. A dynamic coupling model of environment bearing, ecological disturbance, pollution diffusion and social economic influence is constructed, the four sub-models interact in real time through bidirectional data flow, full-dimension dynamic coupling evaluation of natural environment, ecological system, pollutant migration and social economic factors is achieved, and compared with traditional single-factor evaluation, the comprehensive evaluation accuracy is improved.

The invention discloses bacillus velezensis capable of tolerating various environmental pollution and promoting growth and application of the bacillus velezensis. A plant endophyte bacillus velezensis L381 strain is identified in wild rice, and the strain is high in environmental adaptability, can grow in the environment with the temperature of 15-40 DEG C and the pH value of 5-8, and can tolerate the NaCl concentration of 4%; the rice growth promoting agent has a good growth promoting function, can secrete auxin IAA, solubilize phosphorus, dissolve potassium and secrete siderophores, and can effectively promote rice growth. Meanwhile, the strain has stress resistance to environmental stress such as heavy metals and antibiotics, and tetracycline can be degraded; the strain has a wide antibacterial spectrum, and can be used as a biocontrol bacterium for preventing and treating various plant diseases. The plant endophyte L381 can adapt to variable temperature conditions and variable soil environments in the natural environment, has very strong practical application potential, not only improves the functions of bacillus velezensis, but also widens the application range of the strain.

The invention relates to the technical field of solid waste treatment, in particular to a flotation method and system for waste incineration fly ash decontamination and calcium conservation. The method comprises the steps that waste incineration fly ash is placed in a natural environment to be subjected to a natural carbonation reaction till the pH value is 7-9, pretreated fly ash is obtained and mixed with water, and then a collecting agent and a foaming agent are added for flotation separation; or mixing the waste fly ash by using the sulfuric acid aqueous solution as the flotation liquid, and then adding the collecting agent and the foaming agent for flotation separation; wherein the collecting agent is one or more of butyl xanthate, ammonium dibutyl dithiophosphate and N, N-diethyldithiocarbamate. By means of the method, heavy metal and chlorine salt in the fly ash can be removed, Ca-based components in the fly ash can be reserved, and therefore resource utilization of the waste incineration fly ash is achieved to the maximum extent.

The invention discloses a method for efficiently screening saline-alkaline tolerant rice. According to the method, controllable indoor saline-alkali environment simulation conditions are constructed, various salts are mixed in proportion to prepare solutions with different salinity gradients, the pH value is adjusted, and temperature, humidity and illumination parameters are accurately controlled; the method comprises the following steps: disinfecting rice seeds, carrying out a germination test, transplanting rice seedlings, and regularly measuring growth indexes; in the treatment process, physiological indexes such as malondialdehyde content, antioxidant enzyme activity, proline content and the like and the expression level of salt and alkali tolerance related genes are detected, key indexes are screened by applying statistics and multivariate analysis methods, and an evaluation system is established for comprehensive score screening. The method can quickly perform saline-alkali stress treatment on a large number of rice seeds or seedlings, is not limited by natural environment, shortens the screening period, can accurately simulate different saline-alkali soil environments, scientifically evaluates the saline-alkali tolerance of rice from multiple dimensions, and provides an efficient and reliable technical means for breeding saline-alkali tolerant rice varieties.

The invention provides a surface water resource dynamic prediction method under digital twinning, and relates to the technical field of water resource management, and the method comprises the steps: obtaining hydrogeological monitoring data; transmitting to a digital twin module, and constructing a hydrogeological model; obtaining a surface water resource scheduling instruction; introducing a surface water resource scheduling risk prediction module, and performing water resource scheduling risk prediction in combination with a hydrogeological model and a surface water resource scheduling scheme; if the water resource scheduling risk prediction result does not meet the water resource scheduling risk constraint, optimizing and adjusting the surface water resource scheduling scheme; and on the basis of the future time zone, surface water resource scheduling is executed according to the water resource scheduling optimization strategy. According to the method and the device, the technical problem of low efficiency of water resource management caused by excessive development or waste due to the fact that water resource scheduling cannot adapt to a rapidly changing natural environment in the prior art can be solved, water resource scheduling is performed by combining digital twinning, and the accuracy and efficiency of surface water resource management are improved.

The invention relates to a polar region ship navigation risk management and control method and system, and the method comprises the following steps: obtaining polar region natural environment original data, predicting missing data points through a random forest, and obtaining a high-density environment risk data sample in a space-time dimension; a Bayesian network model of a polar region ship navigation process is constructed based on accident risk factors, model parameters are calculated based on environment observation data, and navigation safety assessment in a multi-risk mode is realized by constructing a risk assessment model; and for the most important risk type after navigation safety assessment, comprehensive risk management and control of polar region ship navigation are realized in combination with ship seaworthiness, ship navigation window period, air route and risk management and control measures. Compared with the prior art, the method has the advantages that environment and climate real-time characteristics are fully considered, risk assessment and comprehensive risk management and control are realized through subjective and objective combination, and the like.

The invention relates to the technical field of port operation simulation software systems, and particularly discloses a quay crane operation process simulation system and method for port intelligent driving. The quay crane operation process simulation system comprises a data interaction module, a quay crane motion simulation module, a service simulation module, a simulation control module, an operation backtracking module, an analysis and optimization module and a simulation display module. The method has the beneficial effects that a complex port operation process is completely mapped to a digital space through fine dynamic modeling and coding, a port manager can visually observe and analyze the whole operation process in a virtual environment through full-process digitization, and potential problems can be found and solved in time; based on the constructed 3D simulation environment, natural environment data and random events are combined to carry out work process simulation, meanwhile, simulation data are fed back to a simulation system to carry out closed-loop control, simulation errors are reduced, and the work process simulation authenticity is improved.

The invention discloses a biological environment-friendly clothing material with a self-cleaning function and a preparation method of the biological environment-friendly clothing material. According to the invention, the environmental friendliness is obviously improved, and natural components which can be completely biodegraded are adopted and can be quickly decomposed in the natural environment, so that the micro-plastic pollution is reduced; the self-cleaning function is enhanced, and through the synergistic effect of the bionic hydrophobic surface and photocatalytic decomposition, automatic falling and decomposition of stains are achieved; the durability is enhanced, a dynamic self-repairing network can automatically repair daily wear, the service life is prolonged, and the bio-based raw materials are natural, skin-friendly and excellent in air permeability. The supercritical fluid processing and microwave shaping technology replaces a high-energy-consumption process; emission of toxic substances is eliminated, and organic solvents and fluorine-containing compounds are forbidden in the whole process; raw material loss is reduced, and the using amount of functional materials is reduced through an accurate structure regulation and control technology; the maintenance cost is simplified, and the washing frequency and the use of chemical cleaning agents are reduced due to the self-cleaning characteristic; waste is compressed, and resource utilization of by-products is achieved through a closed-loop production system.

The invention relates to a landslide intelligent early-warning method based on an aging damage mechanism, and the method comprises the steps: building a landslide numerical model, and carrying out the assignment of the mechanical parameters of a rock-soil body; setting a numerical calculation initial condition and a boundary condition for elastic calculation, and calculating and generating a landslide initial ground stress model; calling the dynamic constitutive model, and performing numerical calculation through a creep command; embedding an improved tangent angle threshold algorithm; the system collects monitoring data in real time and automatically completes damage accumulation quantification based on the aging damage dynamic constitutive model; embedding the aging damage early warning model identification system into a computer system; and calculating and identifying the aging damage early warning model, and outputting an early warning result. According to the invention, through the dynamic damage model, the damage evolution rule of the rock-soil body under the long-term natural environment effect is accurately reflected, and the timeliness and accuracy of the early warning system are ensured; the corrected tangent angle lower limit value is adopted, so that the reliability of landslide early warning is improved, the landslide can be found and early warned earlier, and disaster prevention and reduction of the landslide are facilitated.

The invention discloses an SCAR marker for identifying onion pollen pollution and application thereof, the specific fragment length of the SCAR marker is 811bp, the nucleotide sequence of the SCAR marker is as shown in SEQ ID NO.1, and the SCAR marker of the onion has no target band; the invention also discloses a specific primer of the SCAR marker. When the marker determined by the method is used for verifying the allium fistulosum of different varieties and the allium fistulosum YZD polluted by the onion pollen, the allium fistulosum and the allium fistulosum YZD polluted by the onion pollen can be rapidly and stably identified, compared with a traditional seed purity identification method, the method is not influenced by natural environment and human factors, batch experiments can be carried out, the identification efficiency is improved, and the method is suitable for large-scale popularization and application. The invention provides a rapid and feasible method for solving the problem that allium fistulosum varieties are mixed due to the fact that allium fistulosum pollen is polluted by onion pollen in production.

The invention provides an intelligent monitoring method and device for an electric power overhead line based on self-supervision and a cloud server. The method comprises the following steps: acquiring real-time multi-dimensional image data of the electric power overhead line by applying a front-end acquisition device; performing self-supervision pre-training on the seed model transmitted by the cloud server according to the historical multi-dimensional image data of the power overhead line to obtain a trained proprietary model; and carrying out hidden danger identification on the real-time multi-dimensional image data by using a proprietary model to obtain a hidden danger identification result, and transmitting the hidden danger identification result to visual monitoring equipment for visual display. Real-time monitoring and intelligent identification of hidden dangers of the power overhead line can be realized, model parameters are intelligently adjusted to adapt to complex and changeable natural environments, false alarm and missing alarm phenomena are reduced, safe operation of the power overhead line is ensured, and through training and application of a proprietary model, the real-time monitoring task is ensured to be completed with high quality and high efficiency, and the safety of the power overhead line is ensured. And continuous optimization of individual precision of the proprietary model is realized.

The invention discloses a large yellow croaker fry enhancement and release wild training device and method, and relates to the technical field of marine biological resource conservation, and the large yellow croaker fry enhancement and release wild training device comprises a water tank for containing water, and a plurality of fish reefs are placed in the water tank; the light source is arranged above the water tank; the plurality of wave making pumps are uniformly arranged on one side of the inner wall of the water tank; the throwing structure is used for throwing natural enemy pheromones into the water tank; the camera is arranged on the inner wall of the water tank; the controller is electrically connected with the camera, the light source and the wave making pumps, the camera is used for collecting behavior characteristic information of the large yellow croaker in wild training and sending the behavior characteristic information to the controller, and the fish behavior analysis system comprehensively analyzes swimming and fish reef use conditions of the large yellow croaker fry in the water tank and analyzes and judges the wild training effect of the large yellow croaker fry. The method has the advantages that the capability of the larimichthys crocea fry adapting to the marine natural environment is enhanced, and the survival rate of the released fry is increased.

The invention belongs to the technical field of agronomy experiment devices, and particularly relates to a mulch-mulched soil environment simulation device which comprises a closed space, an air inlet and an air outlet. The mulching film sample is arranged in the closed space; the top of the soil simulation assembly is in contact with the bottom of the mulching film sample, and the soil simulation assembly is used for simulating a soil environment covered by the bottom of the mulching film sample; the natural environment simulation assembly is communicated with the closed space, the natural environment simulation assembly is used for simulating environmental conditions of the top of the mulching film sample, and the environmental conditions comprise temperature and humidity parameters, illumination parameters, rainfall parameters and wind speed parameters. According to the invention, researchers can accurately and controllably carry out experiments indoors, simulate soil states under different mulching film materials and environmental conditions, and deeply understand the influence of mulching film mulching on key parameters such as soil moisture, temperature and gas exchange. Scientific basis is provided for agricultural production and crop management, and sustainable development of agriculture is promoted.

The invention discloses a regional habitat ecological network construction method coupling natural environment and man-made interference, belongs to the technical field of ecological protection planning and spatial analysis, and relates to a regional habitat ecological network construction method. The invention aims to solve the problem that the interaction defect of natural and human factors is not considered from the perspective of habitat characteristics and species behaviors in the existing habitat ecological network construction technology. The method comprises the following steps: constructing a habitat ecological network index system coupled with natural and human interference factors, and totally selecting 11 factors; extracting a multi-factor composite ecological source land; forming a species migration comprehensive resistance surface; and according to the multi-factor composite ecological source land and the species migration comprehensive resistance surface, generating an ecological corridor, identifying ecological pinch points and ecological obstacle points, and constructing a habitat ecological network. The method solves the problem that a habitat ecological network is neglected due to the common influence of natural environment change and man-made interference.

The invention provides an atmospheric fine particulate matter PM2.5 influence factor analysis method and device, and belongs to the technical field of data processing, and the method comprises the steps: obtaining multi-source heterogeneous data of a target region in a target time period, the multi-source heterogeneous data comprising spatial distribution data of atmospheric fine particulate matter PM2.5 concentration, natural environment data and social economic activity data; preprocessing the multi-source heterogeneous data to obtain grid data with a preset temporal-spatial resolution, the grid data including grid data of PM2.5 concentration and grid data of each influence factor of PM2.5; and inputting the grid data of the PM2.5 concentration and the grid data of each influence factor into a pre-trained influence factor analysis model to obtain a spatial distribution pattern of each influence factor output by the influence factor analysis model. According to the method, the nonlinear-dynamic effect of multiple factors can be fully considered, each influence factor is quantitatively analyzed, and the precision of PM2.5 influence factor analysis is improved.

The present invention discloses a cave-type vertical lifting gravity energy storage system, including a mountain and a power supply, wherein a platform is provided on the top of the mountain, a top yard is provided on the platform, a shaft and a cave are provided inside the mountain, the bottom opening of the shaft is connected to the cave entrance, a lifting device is provided above the top opening of the shaft, a top horizontal conveyor and a gravity block are provided on the top yard, the gravity block moves horizontally along the top horizontal conveyor, the gravity block is contact-connected with the lifting device, a bottom horizontal conveyor, a control room and an energy storage device are provided in the cave, and the power supply is respectively connected with the lifting device, the top horizontal conveyor, the bottom horizontal conveyor, the control room and the energy storage device. The present invention utilizes underground caves as the lower yard of the gravity energy storage system, fully utilizes the underground space of the mountain, adopts the bottom horizontal conveyor and adopts a concealed project, does not destroy the natural environment of the mountain, does not affect the visual landscape of the mountain, and creates economic value.

The invention relates to the technical field of electronic component rain test, and discloses electronic product waterproof test equipment, which comprises a test box body, a cylinder and a water pipe, a turntable is arranged in the test box body, a rotating shaft is mounted on the turntable, a cavity is formed in the test box body, and a servo motor is fixedly mounted in the cavity. An electric push rod is fixedly mounted at the output end of the servo motor, and an electronic component is further arranged on the turntable; a support is fixedly installed in the test box body, a water storage frame rotationally connected with the support is installed on the support, and a wave making mechanism is further arranged in the water storage frame. According to the electronic product waterproof test equipment, through the collaborative design of a triangular arc-shaped protruding block and a wave making floating body, a soaking test is upgraded from static water level simulation to dynamic wave impact; the arc-shaped protruding blocks intermittently impact the rolling wheels, rapid resetting of the floating body is achieved through the spring mechanism, the dynamic hydraulic action of water fluctuation on electronic components in the natural environment can be reproduced, and the limitation that traditional equipment can only achieve static soaking is overcome.

The invention discloses a natural growth apple three-dimensional attitude recognition method based on a real-time multi-task fusion algorithm, and the method comprises the steps: obtaining an aligned RGB-D image through a depth camera, constructing a data set in combination with an image enhancement technology, and synchronously training a classification, segmentation and key point detection model through a multi-task deep learning framework; judging the contour form of the apple through the classification model, and carrying out contour fitting by adopting a convex hull algorithm and an arc adjacency matrix ellipse detection algorithm; two-dimensional centroid positioning and three-dimensional point cloud analysis technologies are fused, and bimodal calculation in the three-dimensional fruit axis direction is realized in combination with a fruit stem and calyx key point detection result. According to the method, the precision problem of apple posture recognition in a complex natural environment is effectively solved, the anti-interference capability is remarkably improved through the three-dimensional point cloud denoising and feature value analysis technology, and reliable technical support is provided for automatic picking and growth monitoring.

The invention provides an emergency image defogging method based on wavelet transform frequency domain characteristics, and relates to the technical field of image processing, and the method comprises the steps: respectively obtaining virtual defogging data and real defogging data, and constructing an emergency defogging data set; training an image defogging model based on high-frequency feature data guidance by using the emergency defogging data set; and carrying out defogging processing on the emergency image by using the trained image defogging model. According to the invention, the problem that fog shields the original natural environment when an emergency occurs is solved, and the state of the environment in the current emergency is accurately, quickly and clearly obtained by eliminating the fog through the image defogging model.

Disclosed is a computer-implemented method for assessing suitability between an optical device and its user, the optical device including an optical lens placed in front of an eye of the user when the user uses the optical device, the optical lens having a plurality of optical zones having different optical functions, the method including at least the following steps: a requesting step, during which the user, equipped with the optical device, is requested to use the optical device in a plurality of different visual situations, each visual situation being associated with an optical zone of the optical lens and during which the user looks at a visual target located in the user's natural environment through the optical lens; and a suitability index assessing step, during which the user assesses a suitability index based on his use of the optical device in the plurality of different visual situations.

The invention relates to a petroleum polluted soil polycyclic aromatic hydrocarbon migration path simulation experiment system, which comprises a main reaction cabin, a mechanical arm collaborative operation module, a multi-mode sensing module, a whole natural environment regulation and control module and an edge intelligent decision-making platform, an annular magnetic suspension track is arranged at the top of the main reaction cabin, and a soil sample chamber is arranged at the bottom of the main reaction cabin; the multi-modal sensing module comprises an EIT (electrical impedance tomography) module, an LIBS (laser-induced breakdown spectroscopy) module and a terahertz time-domain spectroscopy module and is used for measuring global conductivity distribution of soil in a soil sample chamber, inverting the porosity of the soil sample and a pollutant concentration field in pore water, analyzing the concentration of carbon, hydrogen and oxygen elements of pollutants and specifically detecting polycyclic aromatic hydrocarbon molecules; the edge intelligent decision-making platform interacts with the multi-mode sensing module, the full-natural-environment regulation and control module and the mechanical arm collaborative operation module to actively adjust system parameters, and repair intervention is carried out on soil body degradation. And automatic preparation of the polluted soil can be realized, and migration monitoring under different practical engineering application working conditions can be realized.

The utility model provides a side slope supporting structure, which relates to the technical field of side slope protection and comprises a slope body, a supporting frame is arranged on the surface of the slope body, a placing groove is arranged on the surface of the supporting frame, a supporting net rack is placed inside the supporting frame, ground anchors are mounted on one side of the supporting net rack close to the slope body, and a fixing plate is mounted on the surface of the supporting net rack. Supporting frames are placed on the surface of a side slope, the supporting frames are arranged in an array mode, then a supporting net frame is placed in each supporting frame, it is ensured that fixing plates of the supporting net frames are located in the placing grooves, and then the anchor rods are inserted along the receding grooves close to each other; after the anchor rods are inserted, the fixing plates are fixed, the grass seeds fall into the supporting net frame after being scattered, a plurality of grids are arranged in the supporting net frame, the grass seeds exist in each grid, and the grids can limit the grass seeds to move under the influence of the natural environment so that the grass seeds can grow evenly.

The invention provides a foreign matter intelligent identification and dynamic monitoring method based on remote sensing data fusion, and belongs to the field of image identification. The problem of low foreign matter recognition efficiency is solved; the method specifically comprises the following steps: acquiring and extracting fusion features of remote sensing pictures of various road foreign matters; similarity learning is carried out on the fusion features, and a high-dimensional index structure is established; acquiring a real-time remote sensing picture on the road, and judging whether foreign matters exist on the road or not; if so, marking a foreign matter; if not, not processing; acquiring a historical natural image of a target area, designing a time sequence feature analysis module, a spatial feature analysis module and a spatio-temporal joint prediction module, and outputting a natural environment prediction image of the target area at a future moment; acquiring an actual remote sensing image, and marking an abnormal region in the actual remote sensing image according to the natural environment prediction image; according to the method, the foreign matter recognition efficiency is improved through obtaining and feature extraction of the remote sensing images in the road and natural environment of the target area.

The invention discloses a method and a system for evaluating the nonlinear influence of a greenbelt landscape pattern on a rainfall flood regulation service. The method comprises the following steps: step 1, constructing a basic database; 2, processing data variables; 3, constructing a nonlinear model: taking a green land landscape pattern factor as a core explanation variable, taking a rainfall flood regulation service index as a response variable, introducing a natural environment factor and a social economic factor as control variables, training the random forest model, and constructing a rainfall flood regulation service prediction model; 4, key factors are identified, wherein the top-ranked factors are regarded as key factors playing a role in rainfall flood adjustment service; step 5, analyzing a key threshold: performing visual analysis on a nonlinear relationship between the key factor and the rainfall flood adjustment service by adopting a partial dependency graph algorithm; and by observing positive and negative influence trends and change rates of the key factors on the rainfall flood regulation service indexes in different value intervals, identifying potential key thresholds.

The invention relates to the technical field of water quality early warning, in particular to a sea-entering estuary water quality monitoring automatic early warning network construction method, which comprises the following steps of data acquisition, data preprocessing, model construction, model training and verification and model application. According to the method for constructing the automatic early warning network for monitoring the water quality of the estuary, the real-time monitoring of the water quality of the estuary is realized through an automatic monitoring sensor network, the time delay of a traditional method is overcome, and early warning can be quickly given out at the initial stage of a water quality problem by adopting an advanced data processing and early warning algorithm; compared with traditional manual sampling and laboratory analysis, the technical scheme has the advantages that the monitoring cost is remarkably reduced, the working efficiency is improved, interference to river ecology is reduced, friendly monitoring on the natural environment is realized, and the water quality monitoring system can be widely applied to the field of water quality monitoring and early warning by providing detailed water quality data and analysis reports. And a scientific basis is provided for water resource management and environmental protection decision making.

The invention relates to the technical field of marine surveying and mapping, and discloses a sea level change trend accurate calculation method based on multi-source data fusion, which comprises the following steps: acquiring multi-source satellite height measurement data, performing data grouping, establishing a plurality of average sea level models, establishing a time-varying average sea level model through the average sea level models, and calculating the sea level change trend according to the time-varying average sea level model. And performing linear regression fitting on the average sea surface height time sequence at each grid point, constructing a grid average sea level change model, and calculating a change trend at each grid point. The method can improve the separation capability of signals with different time scales in sea level changes, is not affected by extreme climate events, natural environment changes and physical environment correction, and can greatly improve the prediction accuracy of the sea level trend.

The invention relates to the technical field of periphyton incubators, and discloses a device for culturing periphyton, which comprises an incubator body, a control operation panel connected to the top of the incubator body and a culture container connected in the incubator body. Through mutual cooperation of an arc-shaped box, a chain, a chain wheel and a lamp shaft seat, the visible light simulation illumination lamp with the wavelength of 400-700 nm can move and is similar to rising of the sun from low to high and then gradually reduced, so that the illumination position is dynamically changed, a more natural growth environment is simulated, the illumination intensity and the duration time are synchronously controlled, and the illumination effect is improved. Therefore, the proper growth temperature in the incubator is maintained, the change rule of the illumination intensity and the illumination angle in one day is truly represented, artificial stable growth conditions closer to the natural environment are provided for periphyton, and efficient growth and metabolism of periphyton at the proper temperature are promoted.

The invention discloses a bacteriostatic and antiviral bamboo pulp paper-based sanitary isolation bag as well as a preparation method and application thereof, and belongs to the field of functional paper-based packaging materials. The isolation bag takes bamboo pulp fiber paper as a base material, and the surface of the isolation bag is coated with a water-based polyhydroxyalkanoate functional coating. According to the preparation method, a special polyphenol derivative-chitosan quaternary ammonium salt-nano zinc oxide organic-inorganic hybrid factor is introduced, and the problem of agglomeration of nano particles is effectively solved by utilizing the special bridging effect of polyphenol, so that high-density cation capture and oxidation inactivation sites are constructed on the surface of the coating. Compared with the prior art, the method has the advantages that the method does not need to depend on organic fluorine compounds, and the excellent waterproof and oil-proof barrier effect and the efficient inactivation of viruses can be achieved only through the extremely low coating amount. In addition, the isolation bag has unique environmental chemical responsiveness, can be efficiently dissociated under the alkaline condition to facilitate repulping recovery, can be completely biodegraded in the natural environment, and perfectly considers the requirements of biological safety protection and green environmental protection.