539 results about "Natural environment" patented technology

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 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 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.

The invention discloses a multi-scenario land utilization carbon reserve simulation method based on combination of deep learning and a PLUS-InVEST model. The method comprises the following steps: collecting and preprocessing historical land utilization, natural environment and social economic data; analyzing land utilization change characteristics; optimizing an LEAS module of the PLUS model by using a deep neural network, excavating a nonlinear relationship between land utilization expansion and driving factors, and generating an expansion probability graph; configuring a neighborhood weight and a transfer matrix of the CARS module; predicting future land utilization requirements under different scenes by adopting a long-short-term memory neural network; inputting the demand into a CARS module, and simulating and generating a future land utilization space pattern under multiple scenes in combination with differential constraint conditions; based on the InVEST model carbon reserve module and the carbon density data, calculating, comparing and analyzing the carbon reserve of each scene; and outputting a result, carrying out precision verification, and proposing a land utilization planning and carbon regulation strategy. According to the method, the land utilization simulation precision and the carbon reserve evaluation scientificity are improved, and decision support is provided for regional low-carbon land utilization.

The invention relates to the technical field of building design, in particular to an ancient building visual color matching method, which comprises the following steps of: 1, acquiring multi-source data; step 2, color feature extraction; 3, constructing a historical color knowledge base; step 4, constructing a color matching model; and step 5, performing three-dimensional visual rendering. According to the historic building visual color matching method, qualitative analysis of'regional culture-natural environment 'is converted into quantitative collection of multispectral images and three-dimensional point clouds, and spatial accurate positioning of color features is achieved; a standardized knowledge base containing historical periods and technologies is constructed, and the fragmentation problem of traditional color matching experience is solved; through physical realistic rendering, the method is expanded to color simulation of the ancient building under different climate conditions, and the recovery credibility is improved.

The invention discloses environment-friendly cassava cat litter and a preparation method thereof, and belongs to the technical field of pet supplies, and the environment-friendly cassava cat litter is prepared from the following raw materials in parts by weight: 45-55 parts of cassava starch, 20-30 parts of cassava peel, 8-15 parts of corn starch, 8-12 parts of water hyacinth fiber, 5-10 parts of bamboo fiber, 2-4 parts of propolis and 1.5-3.0 parts of mussel mucin. The raw materials are subjected to step-by-step synergistic enzymolysis and step-by-step fermentation to obtain the environment-friendly cassava cat litter. According to the mode, natural raw materials are combined, and the preparation process of step-by-step enzymolysis and step-by-step fermentation is adopted, so that the antibacterial performance and water absorption performance of the cat litter are improved, the defecation comfort and cleanliness of pet cats are improved, sanitation and health of pets and family environments are guaranteed, meanwhile, the product can be completely degraded in the natural environment after being used, and the environment is protected. The cat litter does not generate permanent solid waste like bentonite and silica gel cat litter, and is very environment-friendly.

The invention provides a rare earth complex as well as a preparation method and application thereof. The chemical general formula of the rare earth complex is (Ln < 1x > Ln < 2y > Ln < 31-x-y >) (A) m (B) n, the rare earth complex provided by the invention has a self-assembly behavior, spherical nanoparticles can be formed through molecular aggregation, under ultraviolet irradiation, internal ligand molecules are better protected, the photobleaching process of the rare earth complex under natural conditions is slowed down, and the rare earth complex has better stability and higher weather resistance in the natural environment.

The invention provides an assembly type frame beam slope protection structure which comprises a plurality of anchor cables used for being inserted into the ground, the bottom ends of the anchor cables are provided with gyro-shaped plugs, the side walls of the plugs are provided with threads, reinforcing structures are arranged between the anchor cables inserted into the ground and soil, and the ends, located outside the ground, of the anchor cables are provided with clamping assemblies. The adjacent clamping assemblies are connected through the cross beams or the longitudinal beams. And green plants are planted on the large land in the lattices enclosed by the cross beams and the longitudinal beams. According to the assembly type frame beam slope protection structure, the structural design facilitates rapid construction on an exposed slope, the whole construction process has the advantages of being low in manufacturing cost, saving resources and not damaging the natural environment, and meanwhile the technical advantage of reinforcing and stabilizing the slope is achieved.

The invention provides a wetland ecological restoration effect comprehensive evaluation method and system, and belongs to the technical field of big data analysis. According to the method, real-time data of multi-dimensional ecological elements such as water turbidity, vegetation coverage density and soil acidity and alkalinity are collected, a multi-dimensional element correlation matrix based on time sequence correlation is constructed, and the dynamic change frequency of each element is captured. Core influence factors are screened by quantifying the contribution degree of each element to ecological restoration, weight distribution corresponding to clustered element clusters is determined, and then an accurate quantitative score is generated and mapped into a clear restoration condition level through multiplication and summation of inter-cluster correlation coefficients and weights item by item. Meanwhile, an evolution track is compared and analyzed by combining historical time sequence data, and the weight is dynamically adjusted to ensure that evaluation adapts to an actual repair process. The comprehensive, dynamic and accurate evaluation of the wetland ecological restoration effect is realized, scientific support is provided for the accurate adjustment of the restoration strategy, and the fine management of the wetland and the sustainable development of the natural environment are guaranteed.

The invention provides a fiber fabric based composite material for atmospheric water collection and a preparation method and application thereof, and belongs to the technical field of atmospheric water collection materials. The highly ordered porous structure of the fiber fabric-based composite material improves the adsorption capacity and the mass transfer efficiency, the efficient regeneration process reduces the energy consumption, the good stability and durability prolong the service life of the fiber fabric-based composite material, the flexible system integration mode improves the expandability and the maintenance convenience, and the fiber fabric-based composite material has the advantages of simple structure, low cost and wide application prospect. The maintenance cost is reduced by the simple and convenient operation and maintenance mode, the cost of atmospheric water collection is reduced, and the fiber fabric-based composite material is not limited by natural environments such as atmospheric humidity, ambient temperature and wind power, and is wide in application range.

The invention relates to the technical field of ecological space evaluation, in particular to an urban agglomeration ecological space recreation utilization suitability evaluation method, which takes an urban agglomeration as a research area and comprehensively considers the influence of regional natural environment, social and economic factors on ecological space recreation utilization suitability. An evaluation index system is constructed on the basis of ecological suitability, recreation potential and social economic support conditions, global scale ecological space recreation utilization suitability is empirically evaluated in combination with a GIS and an entropy weight method, and through comparison of an existing ecological recreation space distribution pattern and a recreation utilization suitability horizontal distribution pattern, the recreation utilization suitability is evaluated. The future optimization direction of the urban agglomeration ecological space recreation utilization pattern is provided, and effective support is provided for territorial space planning and layout.

The invention provides a composition for luring bactrocera cucurbitae and application thereof, and relates to the technical field of green prevention and control of agricultural pests. The composition comprises the following active ingredients in percentage by weight: 10% of muscovone, 0.1% of heptanal and 0.1% of hexene. The main components of the composition all come from natural plant volatile matters, and the composition is easy to degrade in the natural environment, has no residual risk and is friendly to the ecological environment. Meanwhile, the composition has high safety to bees, pollination insects and other non-target organisms, and ecological side effects possibly brought by traditional chemical attractants are effectively avoided. According to the implementation of the method, an efficient and specific tool is provided for field monitoring of bactrocera cucurbitae populations, the occurrence dynamic of the bactrocera cucurbitae can be accurately mastered, the early warning capability is improved, a new technical path and an implementation basis are provided for promoting green comprehensive treatment of the bactrocera cucurbitae, and the method has good popularization and application prospects.

The invention provides a closed watershed lake water level evolution prediction method based on multi-source data, and relates to the technical field of hydrological resources. The method comprises the following steps: firstly, collecting natural environment and social economic multi-source data of a closed drainage basin, and constructing a normalized multi-source feature input matrix; carrying out total element analysis on the features and extracting a nonlinear response threshold value; and meanwhile, Mantel statistical test is executed on the feature matrix to obtain a statistical correlation coefficient. And judging the characteristics which simultaneously meet the statistical significance and mechanism threshold conditions as real causal driven factors, and eliminating false related factors which are statistical significance but have no physical threshold. And finally, reconstructing a prediction model based on the screened causal-driven feature set, and outputting a water level evolution prediction value. Through'statistics-mechanism 'dual verification, interference of false correlation is effectively eliminated, the problem that a traditional black box model cannot distinguish causal and coincident trends is solved, and physical interpretability and robustness of water level prediction are remarkably improved.

To solve such a problem that cultivation of seaweeds that generate blue carbon is committed to a natural environment which is very limited to shallows where sunlight reaches (=0.2% of the entire sea), the cultivation region may decrease but cannot increase because of installation of a port, tourism development such as a swimming beach, and expansion of commercial facilities, sunlight sometimes cannot sufficiently reach the cultivation region because of weather conditions and the ebb and flow of the tide, which makes the cultivation insufficient, and furthermore, an outbreak of red tides may inhibit algae from growing.SOLUTION: In a blue carbon system, a sealed wooden box is installed to each of the four corners of a wooden frame of a 12 m-sized wooden artificial island unit; a culture soil unit for cultivating algae is placed on the wooden frame; buoyancy of the four sealed wooden boxes and weight of the culture soil unit are controlled to be well balanced; and upper sides of the four sealed wooden boxes are set to be exposed from the water by approximately 30 cm while taking the water depth into account so as to provide a best growth condition of the algae.SELECTED DRAWING: Figure 1

The invention provides a debris flow disaster early-warning method based on image recognition, and the method comprises the steps: firstly obtaining two groups of comparison video stream data of a multi-view camera in different time periods, carrying out the mountain feature registration of the two groups of comparison video stream data to guarantee the consistency of space coordinates, filtering and removing invalid interference information through an interference region mask, and obtaining a pre-warning result; and then determining a mountain sliding association difference pixel point set according to the filtered video stream data, and finally constructing a three-dimensional mountain sliding monitoring model in combination with the set and the registered video stream data, thereby determining a target monitoring area of the detection equipment and carrying out monitoring and early warning on the target monitoring area. Spatial position deviation of video stream data in different time periods is eliminated through mountain feature registration, various interference factors in the natural environment are effectively eliminated in combination with interference area mask filtering, mountain sliding can be accurately recognized, the debris flow disaster early warning precision is remarkably improved, the early warning signal false alarm condition is reduced, and the early warning efficiency is improved. And potential safety hazards caused by false alarms are reduced.

The invention discloses a combined cadmium telluride photoelectric curtain wall structure and a construction method thereof, relates to the technical field of wastewater treatment, and aims to solve the technical problem that a current combined cadmium telluride photoelectric curtain wall is easily influenced by the natural environment. Comprising a plurality of mounting parts, a mounting frame mechanism fixed on the mounting parts and a same-color frame arranged on the front surface of the mounting frame mechanism; the mounting frame mechanism comprises a side vertical beam, a middle vertical beam, a first cross beam and a second cross beam, the first cross beam and the second cross beam are mounted between the side vertical beam and the middle vertical beam, and the same-color frame comprises a side barrier strip, an upper barrier strip, a lower barrier strip and a middle barrier strip which are used for shielding the mounting frame mechanism. The photovoltaic module has the advantages that dust adhesion is reduced through the design of the air cavity and the air port, the arc-shaped barrier strip and the water tank rapidly drain water, the rectangular-ambulatory-plane sealing groove is matched with the sealant for multiple protection, the Sudoku structure is stably installed, the same-color frame gives consideration to decoration and circuit protection, the influence of the natural environment is effectively resisted, the photoelectric conversion efficiency is maintained, the waterproofness is improved, and the service life is prolonged.

The invention discloses a comprehensively degradable mulching film and a preparation method thereof, and relates to the field of agricultural biodegradable materials. The mulching film is prepared from polylactic acid, poly (butylene succinate), polycaprolactone, acetylated starch, nano cellulose whiskers and auxiliaries through vacuum drying, high-speed premixing, twin-screw extrusion granulation, film blowing forming and aging treatment. In the preparation process, by regulating and controlling the proportion of the polylactic acid base material, the substitution degree of the acetylated starch and the addition amount of the nanocellulose whiskers, a polymer-bio-based additive-nano reinforcement synergistic effect system is constructed, and optimal balance of the mechanical property and the biodegradation efficiency of the mulching film is achieved. The mulching film capable of being comprehensively degraded is suitable for the field of agricultural covering, can be completely degraded through the synergistic effect of microbial degradation and photooxidative degradation in the natural environment, solves the problem of residual pollution of a traditional mulching film, and meanwhile meets the mechanical supporting requirement in the crop growth period.

The invention provides a method and system for determining plant species for ecological restoration of a photovoltaic station, and the method comprises the steps: carrying out the background investigation of the environment of the photovoltaic station, obtaining a plurality of parameters related to the growth of plants, and screening out a plurality of candidate plants suitable for the environment of the photovoltaic station according to the plurality of parameters; planting tests are conducted on the multiple candidate plants in different areas of the photovoltaic station, and multiple test parameters of the multiple candidate plants in the overall growth cycle are collected; and selecting a target plant type for ecological restoration of the photovoltaic station from the plurality of candidate plants by evaluating the test parameters of the plurality of candidate plants, the plurality of functional parameters and whether the plurality of candidate plants are suitable for the local conditions of the photovoltaic station. According to the method, the plant species suitable for ecological restoration of the photovoltaic station are screened by combining multiple factors based on preliminary screening of natural environment parameters and small-scale planting experiments, and the accuracy and reliability of the screened plant species are improved.

The invention belongs to the technical field of hydrophobic testing, and particularly discloses a method and system for testing the weather resistance of a super-hydrophobic surface of energy equipment in a natural environment, and the method comprises the steps: collecting the characteristics of the natural environment where the energy equipment is located, constructing a natural environment coupling model, and matching a weather resistance threshold set of the super-hydrophobic surface of the energy equipment; establishing an appearance-wetting-chemical three-axis characteristic space, outputting a dimensionality signal set of the super-hydrophobic surface of the energy equipment, analyzing a failure probability factor, determining a weather fastness judgment early-warning level of the super-hydrophobic surface, collecting geometrical parameters of the super-hydrophobic surface of the energy equipment, establishing a physical constraint boundary, and combining the failure probability factor to judge the weather fastness of the super-hydrophobic surface. And performing energy equipment super-hydrophobic surface optimization feedback. By constructing the natural environment coupling model and the three-axis feature space, the weather resistance of the super-hydrophobic surface of the energy equipment can be comprehensively evaluated, and accurate early warning and optimized feedback are achieved.

The invention relates to the technical field of rubber products, and particularly discloses a rubber composition with high thermal conductivity and heat dissipation and a preparation method thereof. The rubber composition with high thermal conductivity and heat dissipation is prepared from the following raw materials in parts by weight: 120 to 125 parts of rubber base material, 35 to 45 parts of carbon black, 1 to 3 parts of thermal superconducting filler, 1 to 2 parts of sulfur, 3 to 4 parts of accelerant, 4 to 7 parts of activating agent and 3 to 4 parts of anti-aging agent, the thermal superconducting filler comprises a graphene modified filler and aluminum oxide whiskers. The rubber composition with high heat conduction and heat dissipation can be used for military vehicles, has excellent heat conduction and heat dissipation performance, can quickly export heat generated by rubber products, effectively improves the concealment of the military vehicles in complex environments such as forests, deserts and snowfields, is not easily detected by infrared rays, helps the vehicles to better merge into the natural environment, and has good application prospects. And the concealment and the survivability of military actions are enhanced.

The invention discloses a deep and large foundation pit deformation monitoring method based on multi-modal data fusion, and the method comprises the steps: monitoring the natural environment of a target foundation pit, obtaining monitoring data, and obtaining an initial data monitoring set of the target foundation pit; according to the initial data monitoring set of the target foundation pit, constructing a foundation pit state description model for describing the target foundation pit to obtain a collapse risk value of a corresponding foundation pit collapse test; performing data reprocessing according to the collapse risk value, and constructing a collapse risk influence parameter relationship network for describing the foundation pit collapse test; performing target foundation pit collapse risk analysis and assessment through the collapse risk description graph to obtain a corresponding collapse risk assessment description; and a collapse risk warning model is set according to the collapse risk assessment description, and deformation monitoring and early warning are conducted on the target foundation pit. According to the scheme, through multi-parameter dynamic trend analysis, a collaborative change rule among different parameters is captured, a multi-scene test is carried out by constructing a three-dimensional model, and key risk factor combinations in different construction stages can be identified.

The invention relates to an urban gas risk dynamic sensing method, device and equipment and a medium, and belongs to the technical field of gas safety monitoring, and the method comprises the steps: extracting an entity from multi-source data; wherein the multi-source data comprises gas data and external environment data; the entities comprise a gas facility entity, a construction facility entity and a natural environment element entity; determining a relationship between entities; wherein the relationship comprises a physical connection relationship, a space threat relationship and an environment coupling relationship; taking the entities as nodes, and connecting the nodes according to the relationship to generate a heterogeneous graph; and predicting the urban gas risk according to the isomerism map. According to the method, the gas side data and the external environment side data are fully fused, secondary gas disasters caused by construction, extreme weather and the like can be early warned, and the accuracy and timeliness of urban gas risk prediction are improved.

This invention relates to a high-efficiency nitrogen and phosphorus removal composite constructed wetland system based on short-cut nitrification-anaerobic ammonium oxidation (ATAO) co-embedded particles. The system comprises a surface flow constructed wetland, a vertical subsurface flow constructed wetland, an aeration pond, and a horizontal subsurface flow constructed wetland arranged sequentially along the water flow direction. The horizontal subsurface flow constructed wetland includes a soil layer and a layer of short-cut nitrification-anaerobic ammonium oxidation co-embedded particle filler. The main body of the composite constructed wetland system is submerged in the river channel, forming a closed corridor container through the constructed wetlands and the ecological pond frame, making full use of previously unusable space and achieving space saving. Compared with existing technologies, this invention overcomes the shortcomings of existing constructed wetlands, such as large land area, low nitrogen and phosphorus removal efficiency, and significant susceptibility to natural environmental influences. It has stronger processing capacity and better adaptability, achieving low-carbon, energy-saving, green, and highly efficient nitrogen and phosphorus removal.

The invention relates to the technical field of biological fireproof forests, and discloses a design method for a biological fireproof barrier forest belt, which comprises the following steps of: 1, designing a biological fireproof forest belt based on the canopy density of 0.2-0.5 of a broadleaf mixed forest by taking the existing forest stand type as the broadleaf mixed forest, screening suitable fireproof tree species by integrating site conditions, natural environment and hydrothermal conditions of the biological fireproof forest belt of the broadleaf mixed forest; 2, cleaning and soil preparation are conducted on a biological fireproof forest belt to form a hole belt-shaped area, comprehensive complementary planting is conducted on fireproof tree species, the complementary planting density of a broad-leaf mixed forest is 2520 plants per kilometer as tree planting points, the fireproof tree species are planted in the hole belt-shaped area through the tree planting points, and the fireproof tree species are planted in the hole belt-shaped area; after planting, a compound fertilizer is used for topdressing, so that the fireproof tree seeds absorb fertility to accelerate the growth speed.

This invention discloses a device and method for the propagation, release, and rewilding training of large yellow croaker fry, relating to the field of marine biological resource conservation technology. The device includes: a water tank containing water, with multiple artificial reefs placed inside; a light source positioned above the water tank; multiple wave-making pumps evenly distributed along one side of the inner wall of the water tank; a release structure for releasing predator pheromones into the water tank; a camera mounted on the inner wall of the water tank; and a controller electrically connected to the camera, light source, and wave-making pumps. The camera collects behavioral characteristic information of the large yellow croaker during rewilding training and sends this information to the controller. A fish behavior analysis system comprehensively analyzes the swimming and reef usage of the large yellow croaker fry in the water tank to determine the effectiveness of the rewilding training. The advantages of this invention are enhanced ability of large yellow croaker fry to adapt to the marine environment and improved survival rate of released fry.

The application discloses a kind of based on stirling machine's emergency water collecting equipment, including condensing unit and water storage unit, and water in water-containing air is condensed to form liquid water droplets by the top condensing unit work, liquid water droplets from the condensing unit drop into bottom water storage unit and realize the collection of pure water.The relatively pure water is efficiently obtained in natural environment by the stirling device, without the fire source and other dangerous factors of distillation, safer and more efficient;The purity is higher than that of filtration and sedimentation;Compared with solar distillation, the device does not need to consider the sun angle, temperature and other conditions, and has wider application conditions and higher efficiency;The temperature of the produced water is low, the taste is better for drinking, and the rotation speed is limited by disassembling the speed limiting device for ice making, preservation or treatment in emergency.

The invention relates to a whole-course artificial cultivation method for bamboo borers. The method comprises the steps of female and male egg recognition and screening, artificial incubation, cultivation carrier preparation, larva transplantation, larva cultivation and the like. According to the method, the male and female eggs are accurately distinguished according to the appearances of the eggs, the high-quality female eggs are screened for incubation, and the technical defects of uneven matching of the male and female eggs, low mating rate, poor survival rate and limited yield in the existing natural cultivation are solved by means of controlling the incubation temperature and humidity, optimizing the cultivation carrier and transplanting conditions, artificially regulating the adult mating environment and the like; the survival rate of the bred bamboo borer eggs reaches 90% or above, the stocking survival rate of larvae also reaches 90% or above, the yield is 20 times that of an existing natural breeding technology, operation is easy, the cost is controllable, the method is suitable for large-scale popularization, the win-win situation of ecological protection and economic benefits is achieved, the method has extremely high practical value and market prospects, bamboo cannot be damaged by breeding, and disease and pest spreading is avoided. And economic benefits are achieved on the premise of protecting the natural environment, and the concept of green development is met.

The invention discloses a radiation refrigeration material multi-factor coupling aging test device and method, and the device comprises an aging treatment device which comprises a rotatable platform, an environment simulation cabin, a temperature control wind system, a UV irradiation system, a multi-mode raining system, an automatic condensation system, and a central control unit. The rotatable platform is used for placing a radiation refrigeration material and realizing three-dimensional rotation; the temperature control wind system comprises a temperature adjusting unit and a wind speed adjustable fan which are arranged on the environment simulation cabin; the UV irradiation system comprises an ultraviolet light source array arranged at the top of the environment simulation cabin, and a light intensity controller and a radiation intensity probe which are arranged in the environment simulation cabin; the multi-mode raining system is used for simulating a humid environment and raindrop impact; the automatic condensation system is used for simulating a condensation phenomenon in a high-humidity environment; the central control unit is used for setting and regulating operation parameters of the whole testing device. The device simulates the influence of various factors on the performance of the radiation refrigeration material in a real natural environment, and has high universality and flexibility.

The invention relates to the technical field of carbonate rock detection, and discloses an environment control device for simulating carbonate rock weathering under freeze-thaw cycle, which comprises an environment simulation cabinet, a water tank is fixedly mounted in the control cabinet, a water pump is fixedly mounted in the water tank, and the output end of the water pump is fixedly connected with a valve. The valve is connected with a spraying mechanism and an atomizing mechanism, a partition plate is fixedly connected to the interior of the environment simulation cabinet, a machine box is fixedly connected to the outer wall of the partition plate, a fan is fixedly installed in the machine box, and a refrigerating machine and a heating pipe are fixedly installed on the outer wall of the partition plate. By integrating core components such as a spraying mechanism, an atomizing mechanism, a refrigerating machine, a heating pipe and a fan, freezing and thawing circulation can be reproduced, complex natural conditions such as rain wash, high-humidity foggy days and natural wind power can be simulated, various weathering scenes of carbonate rocks in the natural environment are comprehensively covered, and an experimental platform which is more practical is provided for research of a weathering mechanism.