74 results about "Destructive sampling" patented technology

The present invention relates to the field of road engineering technology, and specifically to a non-destructive detection method and system for internal defects and compactness of concrete, the method comprising: collecting dynamic response data of the internal structure of concrete, and preliminarily determining the stress abnormality area; according to the preliminarily determined stress abnormality area, deploying an intelligent sensor array, monitoring the physical state data of the local area, and generating depth monitoring data; synchronously emitting sound waves and vibration waves in the local area, monitoring the propagation path and phase change, and obtaining propagation characteristic data; reconstructing the distribution state of concrete density, and simulating the dynamic response under different load conditions to obtain compactness detection results. Through the present invention, the problems of destructive sampling, local detection and insufficient precision existing in traditional methods are effectively solved, and high-precision and comprehensive detection of internal defects of concrete is achieved, thereby improving the safety and reliability of concrete structures.

The invention relates to the technical field of quality detection, in particular to a gas atomization powder sphericity degree multi-dimensional online analysis system and a method thereof.The gas atomization powder sphericity degree multi-dimensional online analysis system comprises a dynamic dual-mode imaging module, a transverse wind field auxiliary detection unit and a multi-dimensional feature fusion analysis module; the transverse wind field auxiliary detection unit is used for applying controllable transverse wind power through an airflow nozzle orthogonal to the powder falling direction and measuring the deflection track of gas atomization powder ball particles in combination with a laser displacement sensor. The online calibration module is used for spraying standardized spherical particles to the powder flow according to a preset period; the traditional density detection depends on destructive sampling and off-line measurement, the efficiency is low, and the whole production line particles cannot be covered; through an orthogonal wind field trajectory inversion technology, a density value and an internal defect mark are synchronously output through non-contact dynamic measurement, 100% lossless online full inspection of a production line is realized, and sampling limitation and aging bottleneck of a traditional means are broken through.

The invention discloses an intelligent quality inspection system for medicinal empty capsules, particularly relates to the field of intelligent detection, and comprises a multi-dimensional optical characteristic acquisition module, a dynamic thermodynamic response analysis module, a near infrared spectrum component inversion module, a multi-source data fusion decision module and a self-adaptive feedback optimization module. Omnibearing nondestructive detection of the capsule is realized through non-contact multispectral imaging and vibration response analysis, traditional destructive sampling loss is thoroughly avoided, and the multisource data fusion module integrates optical texture features, mechanical frequency domain energy density and near infrared spectrum inversion values based on the D-S evidence theory, so that the detection accuracy is improved. And the self-adaptive optimization module dynamically adjusts an optical wavelength weight, a mechanical sweep frequency range and a spectrum modeling parameter by applying reinforcement learning, is self-adaptive to fluctuation of different batches of gelatin materials and environmental interference, remarkably reduces a misjudgment rate and ensures continuous and stable operation of a production line.

The invention relates to a method and system for judging cadmium resistance of plants based on multispectrum, and the method comprises the steps: carrying out the image collection of a plant sample through multispectral imaging equipment, and obtaining multispectral original image data; performing image preprocessing on the multispectral original image data to obtain plant multispectral feature data; training a convolutional neural network model through the plant multispectral feature data to obtain a cadmium tolerance judgment model; and performing inference analysis on a multispectral image of a plant to be detected through the cadmium tolerance judgment model to obtain a plant cadmium tolerance judgment result. According to the method, the judgment efficiency can be improved on the premise that destructive sampling is not carried out.

The invention discloses a cotton nitrogen content prediction method and system based on small sample hyperspectral data, and belongs to the field of agricultural information. And carrying out destructive and non-destructive hyperspectral data sampling work every fixed time after about 30 days of cotton seedling emergence. According to the method, the 1D-CNN and DF monitoring models suitable for small samples are adopted, so that the characteristics that the agronomic samples are difficult to obtain and the volume is small are met; then, a sequential sequence of the nitrogen content of the cotton leaves is generated through the optimal monitoring model, the sequential sequence is substituted into a sequential prediction structure integrated by TCN, LSTM, BiLSTM and Transform in a sliding window mode, and the nitrogen content in a period of time in the future is accurately predicted by combining the advantages of different algorithms. The method provides method support for crop phenotype parameter time sequence prediction and crop production precise quantification management, and contributes to agricultural modernization and sustainable development.

The invention relates to the technical field of carbon reserve estimation, and discloses a mangrove forest biomass carbon reserve estimation method based on a different-speed growth inversion model, and the method comprises the following steps: 1, setting a quadrat region; 2, collecting aerial images, kandelia candel morphological data, kandelia candel destructive data and soil profile organic carbon density data; step 3, establishing an allotropical growth inversion model; processing the kandelia candel destructive sampling parameters to obtain a kandelia candel carbon conversion coefficient; performing image processing and visual interpretation on the aerial image of the research area to obtain the crown breadth coverage total area and the mud flat coverage area of the kandelia candel in the research area; 4, the overall kandelia candel carbon reserve is obtained by combining the kandelia candel morphological data, the total crown breadth coverage area of the kandelia candel, the different-speed growth inversion model and the kandelia candel carbon conversion coefficient; and combining the organic carbon density data of the soil profile and the mud flat coverage area to obtain the overall soil carbon reserve. Meanwhile, the invention further provides a mangrove forest biomass carbon reserve estimation system based on the different-speed growth inversion model.

The invention relates to a nuclear field lossless gamma measurement device and method based on a NaI detector, and the method comprises the steps: measuring and recording a background signal reference value in a shielding box, obtaining a net signal through a background deduction algorithm after a sample is measured, and achieving the precise processing of spectrum data through multiple times of smooth and optimized energy resolution calculation. According to the method, destructive sampling or chemical treatment on the sample is not needed, secondary waste is avoided by directly measuring the gamma-ray signal, and the method has the advantage of environmental protection. The method is particularly suitable for rapid nondestructive detection of samples such as nuclear power station worker work shoes, the control releasing precision is high, and the detection level of 1e-2Bq / g can be achieved within 2 minutes. The method is simple and convenient in measurement process, flexible in operation and suitable for being used in laboratories and on-site multiple scenes.

The invention relates to an intelligent control method and system for high-pressure atomization irrigation and a storage medium of the intelligent control method and system, and aims to solve the problem that the quality is inconsistent due to the fact that traditional water and fertilizer management of high-value crops is difficult to sense the internal physiological state of the crops in real time. Randomly selecting a plurality of offering samples in each management partition for destructive sampling, and obtaining crop truth value data through physiological and biochemical detection; then, an irrigation rule base is established and dynamically updated based on the truth value data, and then variable control instructions are generated for the management partitions in combination with the real-time environment data; the invention further provides a system for implementing the method and a storage medium, accurate regulation and control starting from real demands of crop bodies are achieved, the consistency of crop quality and the resource utilization efficiency are effectively improved, and self-learning and predictive prevention and control capabilities are achieved.

The invention relates to the technical field of single-walled carbon nanotubes, in particular to a volume-adjustable single-walled carbon nanotube collecting and storing mechanism with a sampling function, which comprises a tank body, a closed space and an accommodating space which are distributed up and down are arranged in the tank body, and a top dynamic cover body mechanism, a cylindrical extension part and a lifting piston form a compression space. The lifting mechanism drives the lifting piston to move, the vibration amplifying mechanism connected with the guide rod makes contact with the dynamic supporting mechanism, the cylindrical extending part is provided with a gas and liquid supply flange part, and the tank body is provided with an adjusting flange part. The dynamic cover body mechanism can be switched to a material receiving mode (piston downward movement negative pressure powder suction), a discharging and ventilation mode (nitrogen powder blowing output) and a sampling mode (closed sampling), and adjustable volume storage, vibration dispersion and lossless sampling of the single-walled carbon nanotubes are achieved.

The invention discloses a method for detecting the water absorption rate of silicone rubber by combining near infrared spectroscopy with CPO-SVM, and belongs to the technical field of detection of high- The invention aims to solve the problems of destructive sampling, complex operation, sensitivity interference, strong subjectivity of indirect evaluation and the like in the traditional detection method. The method comprises the following steps: firstly, obtaining a composite insulator silicone rubber sample, and collecting near infrared spectrum data of the composite insulator silicone rubber sample; then, carrying out standard normal variable transformation pretreatment on the spectroscopic data to eliminate interference caused by physical property difference on the surface of the sample; then, accurately extracting a key wavelength from the high-dimensional spectral data by using a competitive self-adaptive reweighting algorithm; and finally, establishing a support vector machine model optimized by a crown porcupine optimization algorithm, and carrying out quantitative analysis on the water absorption rate of the silicone rubber. According to the method, rapid, accurate and nondestructive detection of the water absorption rate of the silicone rubber is realized, real-time and reliable data support is provided for operation and maintenance of a high-voltage insulating material, safe and stable operation of a power grid is effectively guaranteed, and the method has a wide application prospect.

The invention discloses an algae biomass determination method and device, a storage medium and electronic equipment. The method comprises the following steps: acquiring a to-be-identified algae liquid picture, and preprocessing the to-be-identified algae liquid picture; extracting the preprocessed to-be-identified algae liquid picture to obtain an RGB value of the to-be-identified algae liquid picture; inputting the RGB value of the algae liquid picture into a trained machine learning model to obtain predicted algae absorbance; an algal biomass is determined based on the predicted algal absorbance. The method for measuring the algae biomass through the RGB value is relatively accurate, is easy to implement, can measure while sampling, facilitates rapid quantification of pure algae industrial culture, and is low in real-time monitoring cost. Different from the conventional measurement method, the method can be used for non-contact measurement through photographing, uncovering and destructive sampling are not needed, and the influence on experimental data caused by pollution to a sample is avoided.

The application relates to an intelligent control method and system of high-pressure atomization irrigation and a storage medium thereof, and aims to solve the problem that traditional water and fertilizer management of high-value crops cannot realize real-time sensing of internal physiological states of crops, leading to inconsistent quality. The intelligent control method divides an irrigation area into multiple management partitions, randomly selects a plurality of sacrifice samples in each management partition, destructively samples the sacrifice samples, obtains true value data of crops through physiological and biochemical detection, establishes and dynamically updates an irrigation rule library based on the true value data, generates variable control instructions for each management partition in combination with real-time environmental data, and finally controls a high-pressure atomization sprinkler irrigation system to accurately execute. The application also provides a system and a storage medium for realizing the method, realizes accurate regulation and control starting from the real demand of crops, effectively improves the consistency of crop quality and the resource utilization efficiency, and has self-learning and predictive prevention and control capabilities.

This invention provides an Indel molecular marker closely related to the soluble sugar content of pepper fruit and its application, belonging to the technical field of nucleic acid-based assay methods. The nucleotide sequence of the Indel molecular marker is shown in SEQ ID NO.1 of the sequence listing; the Indel molecular marker is located at positions 5274716-5274727 of the full-length sequence of chromosome 3 of the pepper reference genome. Primers for amplifying the Indel molecular marker include a forward primer and a reverse primer. The nucleotide sequence of the forward primer is shown in SEQ ID NO.2 of the sequence listing, and the nucleotide sequence of the reverse primer is shown in SEQ ID NO.3 of the sequence listing. This molecular marker can be directly applied in early generations of breeding, avoiding the destructive sampling of chemical detection, significantly reducing breeding costs, effectively shortening the breeding cycle, and greatly improving the selection efficiency of molecular marker-assisted breeding in peppers.

This disclosure provides automated, high-throughput methods and systems for generating microspore-derived doubled haploid structures, plantlets, and crop plants, and progeny thereof. Methods of integrating computer vision and artificial intelligence into a variety of steps including microspore selection, culture, sorting, and genotyping are disclosed. Multiplexed genome-editing of microspores through cargo delivery, non-destructive sampling, and genotyping are also described.

The present application belongs to the field of ham processing, and mainly relates to a ham segmentation temperature and humidity control curing method. In view of the problem that the existing ham curing process excessively relies on manual experience for grouping, sampling inspection and stage switching judgment, resulting in insufficient automation, lagging internal state recognition and difficulty in matching the environment regulation and individual state, a ham curing state recognition mechanism and a segmentation switching judgment mechanism are established to evaluate the mass transfer state of different hams in the curing process, and the curing environment parameters are dynamically corrected in combination with the hanging position disturbance, so as to continuously generate control parameters suitable for the current state. The method can recognize the internal mass transfer state of the ham without relying on destructive sampling inspection, realize the dynamic switching of the curing stage and the rolling adjustment of the temperature and humidity control parameters, so as to improve the automation degree and stability of the ham curing process.

This invention discloses a non-destructive sampling method for studying the interaction between AM fungi and mycelial bacteria. Step 1: Sterilized culture medium is filled into the root chamber and the mycelial growth chamber, and the outer end of the mycelial growth chamber is sealed; the inner end of the mycelial growth chamber is connected to the root chamber. Step 2: Corn seeds are planted in the culture medium in the root chamber, and AM fungal spores are added to the root chamber while simultaneously cultivating them using nutrient solution and water. Step 3: Collection is performed, consisting of collecting pure mycelia and collecting fresh soil affected by pure AM fungal mycelia. This invention uses non-destructive sampling under pot conditions to collect pure, uncontaminated AM fungal mycelia and mycelial soil affected by AM fungi for scientific research on mycelial interactions.

The invention provides a biosensor for detecting nitrate content as well as a preparation method and application thereof, and relates to the technical field of biology. The biosensor disclosed by the invention comprises a luciferase amino terminal fragment, a luciferase carboxyl terminal fragment and NasR protein, the luciferase amino terminal fragment and the luciferase carboxyl terminal fragment are two fragments of the same luciferase. The biosensor provided by the invention has high selectivity on nitrate, can specifically, stably, continuously and online observe the nitrate content in the whole plant for a long time, and overcomes the key problems of destructive sampling, limited spatial resolution, insufficient detection sensitivity and the like in the traditional method; and a real-time dynamic detection platform capable of monitoring the whole plant living body is provided for plant nitrogen metabolism research.

The invention discloses a method for researching interaction of AM fungi and interhypha bacteria through non-destructive sampling. The method comprises the following steps: step 1, filling a root chamber and a hypha growth chamber with a sterilized culture medium, and sealing the outer end of the hypha growth chamber; the inner end of the hypha growth chamber is communicated with the root chamber; 2, corn seeds are planted in the culture medium of the root chamber, AM fungal spores are added into the root chamber, and meanwhile a nutrient solution and water are used for cultivation; and step 3, collecting, namely collecting pure hyphae and collecting fresh soil influenced by the pure AM fungal hyphae. According to the method, non-destructive sampling is carried out under the potting condition, pure and pollution-free AM fungus hyphae are collected, and interhypha soil influenced by AM fungi is used for scientific research of interhypha interaction.

The invention discloses a method for measuring carbon reserve of celery more accurately and simply, and belongs to the technical field of agricultural ecological carbon sink measurement. The method comprises the following steps: firstly, collecting a celery sample in a quadrat, measuring plant height, stem diameter and relative chlorophyll content (SPAD value), then obtaining the fresh weight of an overground part through destructive sampling, and constructing a three-parameter fresh weight prediction model containing H, Dand SPAD by utilizing multiple regression; secondly, performing non-destructive field measurement in a to-be-measured area to obtain plant heights, stem diameters and SPAD values of a large number of samples, and substituting the plant heights, the stem diameters and the SPAD values into the model to calculate the predicted fresh weight of a single plant; and finally, combining the planting density and the carbon content conversion coefficient to calculate the carbon reserve of the celery in unit area. According to the method, the defects that a traditional drying method is high in destructiveness and long in period are overcome, the model prediction precision is remarkably improved by introducing SPAD physiological indexes, rapid, in-situ and low-cost measurement of the celery carbon reserves is achieved, the relative error can be controlled within 5%, and the method is suitable for accurate accounting of farmland carbon sequestration.

The utility model discloses a nuclear grade deep hole ultrahigh online nondestructive mechanical property evaluation device, which relates to the technical field of nuclear facility nondestructive mechanical property detection, and comprises an operation component capable of realizing transverse rotation and vertical lifting functions, a vertical arm component clamped in the operation component, and a power mechanical arm connected to the lower end of the vertical arm component, and the mechanical detection equipment is mounted at the lower end of the power mechanical arm. In nuclear facilities, for nuclear-grade deep hole equipment and equipment which cannot be sampled in active service, the system can obtain mechanical property parameters such as material hardness and strength without destructive sampling, fills the technical blank that destructive sampling is required in a traditional detection method, and has the characteristics of small equipment size, portability, rapidness, no damage, high efficiency, high precision and the like.

The invention discloses a filling, weighing and conveying device for pre-filled injection filling and a conveying method of the filling, weighing and conveying device, which are applied to the technical field of filling, weighing and conveying devices for pre-filled injection filling, comprise a machine body, a filling conveying mechanism and an abnormal conveying mechanism, and are characterized in that the filling conveying mechanism and the abnormal conveying mechanism are arranged in the machine body; the filling transmission mechanism is arranged on one side of the abnormal transmission mechanism; the machine body comprises a rack, a shell and an operation table, and the operation table is in signal connection with an identification module and a weighing module; the filling conveying mechanism comprises a first conveying part, a filling assembly, a first clamping assembly, a weighing assembly and a transferring assembly. The abnormal conveying mechanism comprises an abnormal processing assembly, a rotating table and a classification conveying assembly, and the abnormal processing assembly, the rotating table and the classification conveying assembly are all fixed to the top of the rack. Online lossless sampling and weighing can be carried out in the conveying process of pre-filled injection filling.

The present invention discloses a water and fertilizer monitoring method for soilless cultivation of rose cut flowers. The method comprises: measuring the fresh weight and dry weight of the rose cut flowers in one growth cycle, and measuring the fresh weight, dry weight and leaf area of ​​the upright branches in one growth period of the rose by using a destructive sampling method. A stem flow meter is used to monitor the real-time transpiration rate and water potential changes of the rose plants, calculate the water utilization rate and dry matter accumulation of the soilless cultivated plants, measure the nitrogen content of the plants by the Kjeldahl method, and obtain the fertilizer requirement of the plants. The real-time data measured by the stem flow meter and the fertilizer requirement of the rose are transmitted to a cloud database. This method adopts three repetitions, the first two for model establishment (measured values), and the third for model verification (simulated values). A fertilizer and water management plan is formulated in combination with the rose model simulation analysis results, and then the soilless cultivation matrix is ​​accurately regulated for water and fertilizer. The present invention can carry out water and fertilizer integrated precision irrigation for roses, which is of great significance for guiding the soilless cultivation production of roses.

The invention provides a tea leaf withering key parameter detection method and device, and relates to the technical field of tea leaf detection, the method collects current spectrum data corresponding to key parameters of fresh tea leaves in the withering process through a spectrum sensor, the real-time performance of data acquisition is improved, the current position data of the fresh tea leaves are obtained through a Beidou sensor, and the real-time performance of the data acquisition is improved. And detecting and outputting the current key parameters of the fresh tea leaves in the withering process through the trained fresh tea leaf spectrum detection model. According to the tea leaf withering key parameter detection method provided by the invention, by combining the current position data of the fresh tea leaves, the pertinence of the detection of the fresh tea leaves in different tea areas is improved, so that the detection accuracy is improved, meanwhile, destructive sampling of the tea leaves is not needed in the detection process, and the detection cost is reduced. Therefore, the key parameters of the fresh tea leaves in different tea areas in the tea leaf withering process can be detected in a lossless, accurate, real-time and convenient manner.

The invention provides a method for determining fracture toughness of a metal material by calculating an energy release rate based on a micro sample, and relates to the technical field of performance detection of in-service pressure containers and pipeline parts. According to the method, a small punching test is combined with an energy release rate formula, finite element simulation is avoided, two small wafer samples with different notch lengths are prepared, test loads and punch displacement data are collected, small punching energy is calculated, and then the fracture toughness is obtained. Three-point bending test results are accurately associated, and the reliability of the method is verified. Approximate lossless sampling is achieved, operation is simple, cost is low, and reliable data support is provided for safety assessment of in-service equipment.

The invention provides a beef cattle living body tissue lossless sampling method based on precise positioning, which comprises the following steps of: firstly, fixing beef cattle in a sampling frame and anesthetizing the beef cattle to reduce the stress response of the beef cattle; an ultrasonic imaging device and a three-dimensional positioning system are used for accurately positioning a target sampling part, and an optimal sampling path and sampling points are planned. A disposable sterile sampling needle with the outer diameter of 1.2-1.5 mm and the length of 5-10 cm is selected, and sampling operation is carried out after steam sterilization treatment. The sampling process strictly follows the sterile principle, and beef cattle vital signs and the position of the sampling needle are monitored in real time. And the collected tissue sample is cleaned and then is properly stored. The sampling part is treated and bound after the operation, and the beef cattle recovery condition is closely observed. According to the method, accurate positioning of beef cattle living tissue sampling is achieved, damage to beef cattle is reduced, sampling accuracy and representativeness are improved, and reliable sample data support is provided for beef cattle health assessment, disease diagnosis and variety improvement.

The invention belongs to the field of molecular biology research of pangolins, and particularly relates to a rapid non-destructive sampling method of Chinese pangolins, which comprises the following steps: scraping oral saliva on the inner wall of the oral cavity of the Chinese pangolins by using a sterilized disposable swab with a cotton swab at the top; the method comprises the following steps: putting a disposable swab adhered with the oral saliva of the Chinese pangolin as a sample into a centrifugal tube filled with DNA (Deoxyribose Nucleic Acid) preserving fluid; and then extracting the DNA of the sample. The method disclosed by the invention has the technical advantages of saving resources, protecting wild animals and quickly and effectively extracting the DNA of the pangolin sinensis.

The invention discloses a dynamic nondestructive testing device and method for the thermal expansion coefficient of a diamond wafer, and solves the problems of single expansion measurement direction, sampling destruction, high cost, even inapplicability and the like in the traditional thermal expansion coefficient test. The testing device comprises an axial laser displacement sensor, a radial laser displacement sensor and a heating bin, a heating mechanism and a rotating mechanism are arranged in the heating bin, the rotating mechanism is provided with a supporting platform used for bearing a diamond wafer to be tested, the upper portion of the heating bin is provided with a thickness direction observation window, and the side portion of the heating bin is provided with a lateral observation window. The axial laser displacement sensor corresponds to the thickness direction observation window, the radial laser displacement sensor corresponds to the lateral observation window, and the heating bin is further connected with a gas protection mechanism. According to the invention, thermal expansion coefficients in different directions can be tested separately; the thermal expansion coefficient of the diamond wafers of different sizes and specifications can be measured in a lossless and low-cost mode, and meanwhile the problems that the measurement expansion direction is single, and the size has special requirements are solved.

The invention discloses a nondestructive testing method for the solid solution state of 18Cr-8Ni series austenitic stainless steel bent pipes. The nondestructive testing method comprises the steps that S1, the 18Cr-8Ni series austenitic stainless steel bent pipes with the bending angle being theta are selected; s2, setting relative permeability detector parameters; s3, uniformly selecting a plurality of detection angles alpha in a range of 0-theta; s4, respectively testing the relative permeability of the detection points corresponding to different detection angles alpha of the 18Cr-8Ni series austenitic stainless steel elbow pipe, and simultaneously testing the relative permeability of the 18Cr-8Ni series austenitic stainless steel elbow pipe at the maximum deformation quantity theta / 2; and S5, according to the relative permeability, measured in the step S4, of the 18Cr-8Ni series austenitic stainless steel bent pipe, judging whether the bent pipe is subjected to solid solution or not. According to the nondestructive testing method for the solid solution state of the 18Cr-8Ni series austenitic stainless steel bent pipe, the problem that the austenitic stainless steel bent pipe needs to be subjected to destructive sampling in an existing detection technology is solved.

The invention relates to a coercive force-based decarburized layer thickness detection method, which relates to the field of decarburized layer thickness nondestructive detection, and comprises the following steps: (1) establishing a mathematical model between coercive force and decarburized layer thickness; and (2) determining the thickness of the decarburized layer by detecting the coercive force. The method for determining the thickness of the decarburized layer by detecting the coercive force comprises the following steps: measuring a hysteresis loop of a metal surface to be measured, and calculating the coercive force; and the coercive force is compared with a mathematical model between the coercive force of the corresponding metal and the thickness of the decarburized layer, and the thickness of the decarburized layer is determined. Compared with a traditional metallographic method, a hardness method, a carbon content determination method and other decarburized layer thickness detection methods, the method adopts a nondestructive detection technology based on coercive force. In this way, in the detection process, destructive sampling or treatment does not need to be conducted on the metal plate, so that the integrity of the material is protected, and material waste caused by detection is avoided.

This invention discloses a sampling and observation device and operating method for preliminary judgment of the natural resin formation of agarwood, relating to the field of guiding mechanism technology. It includes a main body, a sampling structure at one end of the main body, a pushing component at the end of the sampling structure away from the main body, and a sampling channel at the axis of the sampling structure. One end of the sampling channel is connected to the main body. The sampling structure includes a sampling component and a gripping part for sampling agarwood. The pushing component includes a pushing part, the outer diameter of which is the same as the inner diameter of the sampling channel. The sampling component allows for minimally invasive sampling of the agarwood tree, avoiding destructive sampling methods such as cutting down trees or drilling holes. Only a small incision needs to be made in the tree to obtain samples from inside the trunk. Furthermore, because agarwood is relatively viscous, the pushing part can push the sample inside the sampling channel into the main body, preventing the agarwood from clogging the sampling channel.