42 results about "Natural forest" patented technology

The invention relates to the technical field of forest resource investigation and monitoring, and discloses a natural forest multi-source point cloud registration method and system based on point cloud segmentation optimization, and the method comprises the steps: laying a sample plot, collecting the diameter at breast height, the height and the crown breadth of a single tree, and obtaining the space coordinates of the single tree in combination with RTK; according to the method, unmanned aerial vehicle laser scanning and backpack laser scanning are adopted to collect and preprocess point cloud data of a research area, an ICP algorithm is adopted to align a source point cloud with a target point cloud through rotation and translation, point cloud registration is achieved through a minimization error function, point cloud registration precision and errors are quantified through evaluation indexes, and point cloud registration evaluation is carried out. Therefore, the point cloud registration precision is effectively improved through a segmented registration strategy, limitation caused by single sensor data can be overcome through fusion of BLS and ULS multi-source point cloud data, the extraction precision of tree structure parameters is remarkably improved, and the method is not only suitable for point cloud registration of natural forests, but also suitable for point cloud registration of natural forests. And reliable data support and technical support are provided for forest resource monitoring and ecological protection.

Provided in the present invention is an artificial-afforestation area extraction method based on a high-resolution remote-sensing image. The method comprises: acquiring a remote-sensing image, and preprocessing the remote-sensing image; inputting the preprocessed remote-sensing image into an intelligent forest extraction model, so as to obtain a distribution map for all forests; performing edge detection and Hough transform line detection on the distribution map for all the forests, so as to obtain artificial afforestation regions and natural forest regions; and calculating the areas of the artificial afforestation regions and the areas of the natural forest regions, so as to obtain statistical results for artificial afforestation and natural forests. The present invention can solve the shortcomings of conventional monitoring means in terms of efficiency, cost and accuracy, and provides technical supports for large-scale forestry investigation and ecological monitoring.

The invention discloses a vegetation recovery and reconstruction auxiliary device for natural forest protection, and belongs to the technical field of natural forest protection, the vegetation recovery and reconstruction auxiliary device comprises a bottom plate and a liquid medicine tank fixedly mounted at the top of the bottom plate, a liquid medicine filling port is fixedly mounted at the top of the liquid medicine tank, and a pesticide spraying mechanism for spraying pesticide to vegetation is fixedly mounted on one side of the liquid medicine tank. Through cooperative use of an upper soaking frame, a lower soaking frame, a chemical agent box, a communicating pipe and other structures, after a spray head is used for a period of time, chemical dirt adsorbed on the surface of the spray head and spray holes can be soaked and dissolved through a chemical dirt removing agent, and in the process, a driving assembly drives a cleaning brush to move to scrub the chemical dirt adsorbed on the surface of the spray head; by means of the cleaning brush, when the chemical descaling agent preliminarily dissolves agent dirt on the spray head, the chemical descaling agent can be cleaned through the cleaning brush, the agent dirt does not need to wait for natural falling off, the chemical descaling agent can make contact with the agent dirt on the inner side earlier, and the agent dirt removing efficiency is effectively improved.

The invention provides a degraded natural forest restoring force quantitative prediction method and system, and relates to the field of forest measurement. Partitioning and rasterizing the target degraded natural forest based on the same type, and screening environment-similar grids for each grid to jointly form a reference area in combination with historical climate and topographic data; in the reference area, monthly reference values of the NDVI are determined month by month, and an ideal accumulated NDVI is obtained through accumulation by year; calculating the actual accumulated NDVI of the grids in the region in the same year, and taking the ratio of the actual accumulated NDVI to the ideal accumulated NDVI as a recovery degree index; calculating a recovery target value according to the ratio of the maximum actual accumulated NDVI to the ideal accumulated NDVI in each year; and establishing a segmented regression model by taking the initial recovery degree index of the historical degraded grid as an independent variable and the time for recovering to a target value as a dependent variable, and inputting the current recovery degree index of the grid to be predicted to obtain a recovery force predicted value. Therefore, accurate and efficient quantitative prediction of the restoring force of the degraded natural forest is realized, the method is suitable for large-range monitoring, and accurate data support is provided for restoration management.

This invention discloses a method and system for identifying planted and natural forests based on multi-source remote sensing and spatiotemporal joint optimization, belonging to the fields of remote sensing image processing, earth observation, and dynamic monitoring of forest ecology. Addressing the problems of high label noise and disordered temporal logic in existing technologies, this invention obtains high-purity training samples through multi-stage iterative purification by fusing CCDC mutation history and deep semantic features; obtains pixel-level confidence through independent initial classification by geographic partitioning; constructs an HMM model integrating ecological prior constraints and dynamic adaptive emission probabilities for Viterbi decoding; and performs constrained spatial restoration with cross-dimensional temporal security checks. This invention effectively suppresses temporal pseudo-variables and salt-and-pepper noise, achieving high-resolution thematic mapping year by year with no temporal logical contradictions and regular spatial patches, suitable for fine-grained forest classification and compliance monitoring of zero-deforestation laws in tropical and subtropical regions.

The invention discloses auxiliary equipment for natural forest isolation protection, and relates to the field of natural forest isolation protection, the auxiliary equipment comprises a bottom plate, the upper surface of the bottom plate is fixedly connected with a shell, the upper surface of the shell is fixedly connected with a top plate, and two sides of the top of the bottom plate are fixedly connected with two supporting seats; according to the auxiliary equipment for natural forest isolation protection, a pentagonal prism, a clamping mechanism, a gear and a tooth groove rod form a linkage height adjusting system, rapid mechanical connection of adjacent equipment is achieved in combination with a grip, a lead screw, a threaded sleeve, a connecting rod, an outer frame and a column sleeve in a butt joint mechanism, and the problems that in the prior art, height adjusting efficiency of multiple equipment is low, and consistency is poor are solved; according to the isolation mechanism, the whole isolation belt can be synchronously lifted through single-point driving, the overall structure gives consideration to strength, flexibility and reliability, and the actual requirements of large-area isolation of natural forests for high efficiency, unification and low maintenance cost are effectively met.

The invention relates to the technical field of under-forest ecological planting, in particular to a method for under-forest cultivation of rhizoma polygoni paleacei, which comprises the following steps: land selection: selecting a natural forest land with the altitude of 1500-3000 m, fewer weeds, sparse coniferous forest, coniferous and broad-leaved mixed forest and shrub forest as a main part, and the canopy density is less than 0.75; the pH value of the soil is 5.5-7.0; land preparation: removing forest small shrub weeds from September to October, and scraping 1-2 cm surface soil on the ground; collecting bulbils; seedling raising: the compartment width of a seedling raising land is 100-120 cm, 1500-2500 kg of decomposed sheep manure barnyard manure is applied every 667 m < 2 > before sowing, then the compartment surface is covered with fine mountain foundation soil and raw loess with the proportion being 1: (1-5) and the thickness being 2-5 cm, and the compartment surface is raked flat; uniformly scattering the treated bulbils on the seedbed, covering the bulbils with pine needles by 1-2cm after the bulbils are sown, and thoroughly watering; seedling raising; transplanting is conducted; and harvesting. The method accords with the development direction of the national traditional Chinese medicinal material planting industry, integrates green prevention and control of weed diseases, optimizes key node technologies, and is low in planting cost.

The invention discloses a man-made forest and natural forest deep learning classification method based on a satellite-borne laser radar waveform. The method comprises the following steps: step 1, obtaining an L1B geographic positioning waveform of a satellite-borne full-waveform laser radar GEDI of a forest area; 2, carrying out preprocessing operation on the obtained data to obtain waveform information of high-quality GEDI light spots in an area; step 3, performing dimension raising on the waveform, and encoding the one-dimensional waveform into a two-dimensional matrix format as subsequent input; step 4, constructing a convolutional neural network model, firstly extracting local features of the image through a convolutional layer, reinforcing features of important channels through an SE module, then reducing spatial dimensions of an output feature map through a global average pooling layer, then performing global modeling on the features by using an MHA mechanism, and finally outputting a classification result through a full connection layer; and 5, evaluating the classification precision of the artificial forest and the natural forest. According to the method, two forest types can be distinguished, so that a scientific basis is provided for forest management and ecological resource monitoring.

The application discloses a method for determining the age of natural forest stand, comprising the following steps: selecting the reserved wood with multi-period measured diameter at breast height to calculate the average diameter at breast height of the forest stand, dividing the forest stand site class according to the annual growth rate of the diameter at breast height of the forest stand, constructing a statistical model between the average diameter at breast height of the forest stand and the corresponding investigation time interval based on a theoretical growth equation, introducing a density variable to reflect the characteristics of the forest stand, constructing a site class dummy variable to reflect the site influence, and adopting a starting point constraint to transform the model form; reversely calculating the age calculation formula of the natural forest stand from the diameter growth model, determining the site class of the sample site, and estimating the age of the natural forest stand according to the initial diameter at breast height and parameters. The application provides a simple method for estimating the age of the natural forest stand by combining the multi-period diameter data of the reserved wood with the density condition of the forest stand and the site difference, effectively improves the investigation efficiency and estimation accuracy, and meets the demand of the forestry production and scientific research on the age data of the natural forest stand.

The invention belongs to the technical field of planting and soil preparation, and discloses a natural under-forest traditional Chinese medicinal material planting and soil preparation device convenient to adjust, which comprises a working shell and a handle hinged on the working shell. According to the invention, through the cooperation of the structures, the elastic part II pulls the two metal rods to return to the initial position and collide with each other, the generated vibration disperses the soil around the metal rods, and when the metal rods in one ploughing assembly are in contact with the higher land, the folding angle of the metal rods in the ploughing assembly around the ploughing assembly is greater than that of the former ploughing assembly, so that the ploughing efficiency is improved. A second spring telescopic plate in the second spring telescopic plate pushes a guide column, a threaded cylinder rotates to push a metal rod to be further turned over, when the second spring telescopic plate collides with the high-position land for the second time, the former metal rod conducts reclamation work earlier than the latter metal rod, the soil turning work of the high-position land is accelerated, and after the land is leveled, the second spring telescopic plate is turned over. And a clockwork spring in the loader can slowly pull the threaded barrel to return to the initial position, so that the subsequent soil turning work on the flat ground is not influenced.

The invention discloses a soil structure degradation quantification method based on soil pore parameters and hydrological functions, relates to the technical field of farmland soil degradation analysis, and aims to solve the problem that degradation characterization is one-sided due to the fact that a traditional evaluation method only depends on a single physical or hydraulic index. The method comprises the following steps: sampling soil; utilizing CT scanning and image analysis to obtain soil pore structure parameters; parameters reflecting the hydrological function of the soil are obtained; obtaining a farmland soil degradation value by adopting the Pearson correlation coefficient and the soil pore structure parameter and the soil hydrological function parameter obtained by redundancy analysis; and setting a farmland soil structure degradation quantification grade, and comparing an actually measured farmland soil degradation value with a natural forest land or grassland so as to obtain a specific quantification grade of the farmland soil structure degradation. According to the method, the three-dimensional pore morphological parameters obtained through high-resolution CT scanning and the dynamic hydrological function indexes are subjected to coupling analysis, and the soil structure degradation degree can be accurately represented.

The invention discloses a common sassafras in-situ germplasm resource library conservation method which comprises the following steps: (1) selecting a forest stand on which common sassafras grows from natural forest stands, and forming an in-situ conservation group of the common sassafras by all common sassafras single plants in the selected forest stand; in the selected forest stand, the number of single common sassafras plants is larger than or equal to 300; (2) investigating the tree height, diameter at breast height and fruiting amount of single sassafras plants in the in-situ conservation group; and (3) selecting a sampling single plant from the sassafras single plants of the in-situ conservation group according to the survey result in the step (2), and carrying out leaf collection on the sampling single plant. According to the method provided by the invention, a common sassafras germplasm resource collection and preservation strategy is provided around a common sassafras natural population genetic variation distribution pattern, and construction of a common sassafras in-situ germplasm resource library can be guided.

This invention belongs to the field of forest resource monitoring and growth prediction technology, specifically involving a tree species strategy grouping and forest growth prediction method based on morphological traits. The method includes the following steps: acquiring individual-level monitoring data from sample plots; preprocessing the data to construct growth response variables, and transforming and standardizing the diameter at breast height (DBH) and competition index terms; constructing a species-level morphological trait table, standardizing the morphological traits, and generating morphological representations; clustering tree species based on morphological representations to form tree species strategy groups, and backfilling these strategy groups into individual-level samples to construct a training dataset; establishing a hierarchical growth prediction model based on the training dataset, and setting tree species random effects; when the target tree species is not present in the training dataset, determining the strategy group label based on its morphological representation, and outputting the growth prediction result solely based on the model's fixed effects. This invention is applicable to the monitoring and prediction analysis of multi-species natural forest growth and has good market application prospects.

The invention relates to a dynamic test device and method for studying forest litter in-situ cumulative decomposition, the dynamic test device comprises a fixing frame and an upper layer frame and a lower layer frame which are respectively arranged on the upper portion and the lower portion of the fixing frame, the upper layer frame is used for collecting litter and can realize yield dynamic study of the litter, and the lower layer frame is used for simulating in-situ litter decomposition. The litter decomposition dynamic research can be achieved, the upper-layer frame body and the lower-layer frame body each comprise a plurality of frame edges and a frame bottom arranged at the bottoms of the frame edges, and the frame bottoms are connected with part of the frame edges through zipper assemblies so that the frame bottoms can be conveniently opened. The device has the advantages of being simple in structure, light in material, durable, reliable, low in price, convenient to carry and easy to install, the research method is simple and convenient to operate, the litter in-situ accumulation and decomposition process is truly reduced, and the research result more truly reflects the natural forest litter decomposition change process.

This invention relates to the field of medicinal plant cultivation technology, specifically a cultivation method and application for significantly increasing the mannan content of Dendrobium officinale. The method includes: selecting a suitable cedar forest environment, fixing Dendrobium officinale seedlings using a soilless planting method, watering regularly, and spraying with a 200-fold diluted indigenous probiotic cultivation enzyme every 10 days, for a total of 10 sprays. The enzyme is fermented from native microorganisms in natural forest soil and plant materials, containing Bacillus amyloliquefaciens, yeast, active enzymes, and various minerals. This invention can significantly increase the yield of Dendrobium officinale and the content of active ingredients such as mannan and total amino acids, achieving green, efficient, and sustainable cultivation.

This invention provides a method for identifying the mechanism of carbon balance processes in natural vegetation-soil systems through forest succession. It determines the natural vegetation succession pathway through regional surveys, obtains dynamic changes in aboveground vegetation, litter, soil, root biomass, and carbon storage, monitors atmospheric precipitation and total water carbon content per unit time, determines the carbon input of atmospheric precipitation to the natural forest ecosystem, and, based on the above data, determines the changes in carbon storage of each component and the overall carbon storage of the natural forest ecosystem at different succession stages. It also obtains the carbon flux of the natural vegetation ecosystem, verifies the dynamic changes in carbon storage, and quantifies the magnitude of carbon storage changes in each component of the natural forest ecosystem at different succession levels and their contribution to the carbon balance process. This invention clarifies the mechanism by which forest succession affects the carbon balance process by applying ecological stoichiometry theory, providing a theoretical basis for understanding the participation of natural forests in the carbon cycle and for natural forest protection.

The invention discloses a method for constructing a high-heartwood-rate Chinese toon tree breeding population special for solid wood furniture. The method comprises the following steps: (1) selecting superior Chinese toon trees from a natural forest stand, wherein the natural forest stand is distributed in a region with the latitude of 27-32 degrees in north latitude, the longitude of 108-121 degrees in east longitude, the altitude of 150-800 m and the annual precipitation of 500-1900 mm; (2) constructing a clone of the superior toona sinensis: in November to December, collecting an annual branch at the middle upper part of a crown of the superior toona sinensis as a scion, sealing a cut of the scion with wax, and putting the scion into a sealing bag for cold storage at 4 DEG C; grafting the scion to the stock in mid-to-late February of the next year, and obtaining the superior clone of the toona sinensis after the grafting survives. According to the method, the breeding population can bloom within 3-5 years, the hybrid combination configuration requirement is met, high-heartwood-rate high-quality germplasm is rapidly obtained, and the breeding efficiency and quality are remarkably improved.

The invention discloses a carbon sequestration amount detection method and system based on a biological carbon sequestration technology, which are applied to the technical field of intelligent detection, and the method comprises the steps: obtaining a to-be-detected image, a crown center point and a crown diameter; planning a sample forest land with a preset size from the forest land to be detected; calculating correlation factors according to the first total biomass, the average tree height, the crown center point and the crown diameter; and calculating a second total biomass of all trees in the to-be-detected forest land according to the correlation factors, and calculating a total carbon sequestration amount of the to-be-detected forest land according to the second total biomass. According to the method, the influence of the forest stand density on the biomass of the trees in the forest is fully considered by expanding the crown region and eliminating the overlapping region, so that the biomass calculation can be more effectively popularized to the whole forest from a small sample region, the overall calculation result is more accurate, and the calculation efficiency is improved. And the method is beneficial for measuring and calculating the forest carbon sequestration amount of large-scale artificial forests or natural forests.

The application discloses a method for determining the age of single trees in natural forest stands, comprising the following steps: selecting reserved trees with multi-period measured diameter at breast height (DBH) in the natural forest stand, classifying the trees according to the annual growth rate of DBH, constructing a dummy variable of the tree grade based on a theoretical growth equation and adopting a starting point constraint, establishing a statistical model of the multi-period DBH of the single tree and the corresponding investigation time interval, and inversely deducing the age of the single tree through the model. The application solves the problem of obtaining the age of the single tree in the natural forest stand without affecting the growth of the tree and reducing the investigation work by combining the multi-period DBH data of the reserved tree with the differentiation condition of the trees in the forest stand, provides the age data for establishing the growth model of the natural forest reserves, and is helpful for monitoring the dynamic change of the natural forest resources and evaluating the site quality of the forest stand.

The invention discloses a randomly configured afforestation method and system for forest stand vertical fault restoration. The afforestation method comprises the following steps: constructing a random complementary planting structure unit; the forest windows are graded according to the area scale, and different numbers of random complementary planting structure units are supplemented in a random configuration mode; selecting nursery stocks to be subjected to complementary planting; standardizing seedling planting and management; reasonably selecting complementary planting tree species of the random complementary planting structure units; the planting and afforestation time is stipulated. According to the method, dumbbell-shaped and torch-shaped configuration units are constructed, the forest windows with different areas and scales are graded, and different numbers of random complementary planting structure units are supplemented by adopting a random configuration mode, so that the stability and ecological diversity of the forest are remarkably improved. By simulating a random structure of a natural forest and constructing a random structural body, a long-acting and stable microenvironment is provided for the forest, the overall health and stability of the forest stand are maintained, the natural succession of the forest structure is accelerated, and rapid formation of a multi-tree mixed forest is promoted.

The invention discloses a forest land drought factor identification method, and belongs to the field of forest ecological monitoring, and the method comprises the steps: collecting climate factor data of each forest land, and determining a natural forest matched with each man-made forest according to the climate factor data; acquiring and constructing a plurality of training samples according to forest factor data of each forest land; the training sample comprises a man-made forest sample, a first natural forest sample and a second natural forest sample formed by combining a man-made forest and a natural forest matched with the man-made forest; taking the man-made forest sample and the first natural forest sample as input features of first training, taking the first natural forest sample and the second natural forest sample as input features of second training, training a preset recurrent neural network, and obtaining prediction models corresponding to the drought types; and through the prediction model corresponding to each drought type, determining the maximum influence factor causing each drought type in each forest land from the input features. The problem of low forest land drought factor identification accuracy can be solved.

The invention provides an artificial vegetation recovery method for a pine burned area, and belongs to the technical field of vegetation recovery. The method aims to solve the problems of high difficulty and high cost of artificial afforestation in burned slash caused by poor growth conditions and post-fire site conditions of the pine as well as lack of seed banks. According to the method, based on the principle of adjusting measures to local conditions and using local materials, on the premise of fully utilizing the characteristics of raw materials and micro-terrains of the burned land and reducing further damage to an ecosystem after interference, seedlings are cultivated in a cultivation container in a pine burned forest land with different burning intensities, and the recovery of the pine burned land is realized. The method comprises the following steps: digging holes in shady places, building holes with black charcoal, covering with wood chips, and tending and managing seedlings in the later period, thereby promoting the pine over-fire forest land to gradually recover to a near-natural forest. The method does not need comprehensive cleaning and soil preparation of the burned land, and has the advantages of near-natural ecological restoration, simple and feasible scheme, low manufacturing cost, and high afforestation preservation rate and survival rate.

The utility model relates to the technical field of forestry mechanical equipment, and discloses a natural forest seed diffusion auxiliary device which comprises a bearing frame, a storage box is fixedly connected to the inner side of the bearing frame, a rotary drum is arranged below the storage box, a feeding port is formed in the top of the storage box, and a supporting rod is fixedly connected to the outer wall of the left side of the bearing frame. And a motor is fixedly installed at the top of the supporting rod, an intermittent assembly is arranged between the rotary drum and the storage box body, the intermittent assembly comprises a material distributing plate, the material distributing plate is fixedly connected to the surface of the rotary drum, and an extending shell is fixedly connected to the right side of the rotary drum. According to the seed feeding device, the seed feeding rhythm can be accurately controlled through the arranged intermittent assembly, the feeding frequency can be conveniently adjusted through the threaded rod according to actual requirements, the requirements of different natural forest areas for the seed feeding amount and the feeding rhythm are met, excessive or disordered seed feeding is avoided, and the applicability of the device in various scenes is improved.

The invention discloses a natural forest ecological restoration pile with an anchoring structure, and relates to the field of natural forest ecological restoration, the natural forest ecological restoration pile comprises a protection mechanism, the protection mechanism comprises a vertical pipe, and a plurality of barb mechanisms are arranged on the outer ring of the vertical pipe in the vertical direction of the vertical pipe; according to the ecological restoration pile, the rotary clamping mechanism is driven through the stress rod, the blade and the metal clamp are driven to be actively unfolded in a soil layer, the contact area and the occlusal force with a soil body are increased, the pulling resistance and the stability of a single pile are improved, and therefore the use amount of the pile body is reduced, the material and labor cost is reduced, and meanwhile damage of high-density piling to original soil is avoided; and the soil breaking rod, the barb end and the inclined block in the soil breaking mechanism cooperate to ensure that the pile body vertically and accurately enters the soil under the complex geological conditions of looseness, high water content or abrupt slopes and the like, the construction efficiency and quality are improved, the unfolded blades have the self-locking characteristic, and the long-term anti-sliding capacity is enhanced.

The invention discloses an artificial protection forest close-to-nature reconstruction method based on natural succession stage staging regulation and control, and the method comprises the steps: accurately judging the natural succession stage of a forest stand, and setting a threshold condition for transition to a next stage, so as to enable all reconstruction measures to be anchored to the development process of the forest stand; illumination and provenance are cooperatively regulated and controlled through forest window opening up and broad-leaved tree species complementary planting, and the under-forest natural updating potential is activated; through staged thinning, window expansion, width supplementation and needle control, the stand is guided to gradually turn from a single-layer same-age needle leaf structure to a different-age multi-layer, broad leaf dominated and plaque inlaid top-level community form; the litter reserves, the soil biological activity and the hydrological regulation capacity are synchronously improved, and a multi-layer protection system and a dynamic balance monitoring mechanism are constructed. The forest stand does not depend on continuous human intervention to maintain the function any more, but depends on succession power of the forest stand to achieve structural optimization and function jump, the succession stagnation problem is solved, and the artificial protection forest really has the stability, restoring force and sustainability of the near-natural forest stand.

The invention provides an object-oriented natural forest and artificial forest classification method, and relates to the field of forest classification and recognition research, and the method comprises the steps: carrying out the superpixel segmentation of a preprocessed Sentinel-2 image, and obtaining an optimal segmentation scale; obtaining a multi-source remote sensing product; the method comprises the following steps: based on a Sentinel-2 image and a multi-source remote sensing product, taking an object as a basic unit, and extracting object-oriented multi-type features; performing feature optimization on the multi-type features; classifying the optimized features by applying a random forest algorithm and a support vector algorithm respectively, comparing the classification precision of the two methods, and determining an optimal classification model; obtaining a to-be-classified remote sensing image; and inputting a remote sensing image to be classified into the trained optimal classification model to obtain an optimal classification result of the natural forest and the artificial forest. According to the technical scheme, the problem that natural forests and artificial forests are difficult to classify is solved.

The invention relates to the technical field of refining of natural forest chemicals, and particularly discloses a purification and refining method of natural rosin. Aiming at the technical defects that active ingredients are damaged by high-temperature distillation and pollution and incomplete impurity removal are caused by strong acid and alkali treatment in the traditional process, the invention innovatively adopts a three-step cooperative control process: (1) mild alkali dissolution: converting abietic acid into soluble salt at the temperature of less than or equal to 40 DEG C by using a 1-2% NaOH / KOH solution; (2) weak acid isoelectric precipitation: titrating oxalic acid / citric acid until the pH is 2.0-2.8, and directionally separating out abietic acid; and (3) performing low-temperature vacuum drying: performing gradient drying at 50 DEG C or below. The scheme realizes three major breakthroughs: the retention rate of active ingredients is high, and the industrial pain point that the loss rate of a traditional process is greater than 30% is solved; impurities are deeply removed, no plasticizer is detected, and the purity is greater than or equal to 95%; strong acid and alkali / high-temperature treatment is avoided in the whole process, and energy consumption is greatly reduced.

The utility model discloses a natural forest protection irrigation device with a filter assembly, which belongs to the technical field of irrigation devices and comprises a bearing plate, a water tank is arranged on the left side of the upper surface of the bearing plate, the filter assembly is arranged at the top of the water tank and comprises a filter frame, and a through hole communicated with the water tank is formed in the bottom of the filter frame. Sliding grooves are formed in the inner walls of the two sides of the filtering frame, moving seats are slidably connected into the two sliding grooves, V-shaped filtering nets are installed between the adjacent moving seats, compression springs are connected between the bottoms of the moving seats and the bottom walls of the sliding grooves, and limiting mechanisms are arranged between the moving seats and the outer wall of the filtering frame; an electric telescopic rod is arranged on the bottom wall of the support plate, the telescopic end of the electric telescopic rod is connected with a rotary spray head, and a conveying assembly is arranged between the rotary spray head and the water tank, the V-shaped filter screen can be conveniently ejected out, impurities on the V-shaped filter screen can be conveniently cleaned, and the situation that normal filtration of water is affected due to blockage of the V-shaped filter screen is avoided.

The invention relates to the technical field of weeding devices, in particular to a natural forest under-forest herbal medicine weeding device convenient to adjust, which comprises an outer rack, a swing assembly is arranged on the outer rack, the swing assembly comprises a rotating shaft, and a swing plate is fixed at one end, away from the outer rack, of the rotating shaft. A mounting support is fixed to the end of the swing plate, mowing equipment is mounted on the mounting support, a fixing rod is fixed to the end, away from the mounting support, of the swing plate, and a control rod is fixed to the swing plate. Through the linkage design of the swing assembly and the driving assembly, the mowing equipment can swing in a fan-shaped track, the weeding area is greatly increased under the same working stroke, compared with a traditional linear weeding machine, the coverage range is wider, the device is especially suitable for dense planting areas of natural forest herbal medicine, the number of manual back-and-forth operation is effectively reduced, and the working efficiency is improved. And the overall efficiency is obviously improved.