49results about How to "Accurate method" patented technology

The invention belongs to the field of forestry carbon neutralization, relates to a forest fire loss and forest restoration carbon emission accounting method, and constructs a forest fire ecological loss and forest restoration carbon emission accounting framework based on full life cycle evaluation. The framework is divided into two stages of forest operation and fire damage, input and output of each stage are tracked in details, and a life cycle list is formed; an accounting model is developed in combination with an activity emission factor and a biomass conversion coefficient, and the reliability of the model is ensured through sensitivity analysis; the framework fills the theoretical blank of forest fire full-life-cycle carbon footprint accounting, and the accounting transparency and accuracy are improved; the system assists in environment decision making, provides a tool for monitoring fire influence and evaluating recovery benefits for forestry managers, promotes low-carbon management strategy and technical innovation, optimizes a supply chain, and reduces overall carbon emission. The system has a remarkable promotion effect on green economy and sustainable development.

The invention provides a method for identifying gallnut honey by utilizing a characteristic marker, and belongs to the technical field of honey detection. According to the method, kynurenic acid is taken as a characteristic marker, quantitative detection is carried out on kynurenic acid through a high performance liquid chromatography-diode array detector method, and the content of kynurenic acid in gallnut honey is not lower than 14 mg / kg. The kynurenic acid is used as the characteristic marker of the gallnut honey for the first time, the developed identification method also can successfully discriminate the gallnut honey, and the method has the advantages of simple pretreatment, common instruments and mobile phases, low cost, short time, accuracy and the like, and is suitable for industrial production. The method has application potential in gallnut honey identification and product grading.

The invention belongs to the technical field of agricultural mechanization and intelligent equipment, and particularly relates to a corn harvester operation soil compaction degree judgment method based on machine tool real-time parameters, in particular to a soil compaction degree judgment method. The invention aims to solve the problem of low soil compaction prediction accuracy caused by the fact that the existing soil compaction prediction method considers soil indexes and machine pressure and does not consider the influence of dynamic indexes which can be autonomously controlled by a driver on soil compaction. The method comprises the steps of 1, collecting a feature data training set; 2, obtaining a standardized feature data training set; 3, obtaining an optimal compaction degree prediction model; 4, constructing an optimal comprehensive compaction degree model; 5, constructing an optimal compaction early warning model; 6, constructing an optimal comprehensive compaction risk early warning model; 7, collecting a to-be-detected feature data set, obtaining an optimal comprehensive compaction degree model of the to-be-detected feature data set, and outputting a comprehensive compaction degree value and a risk early warning level; and 8, pushing on a screen end in real time.

The invention relates to a construction method and application of a bile acid fingerprint spectrum in bile, and relates to the technical field of traditional Chinese medicine detection. The construction method comprises the following steps: preparing a reference substance solution: weighing at least two of taurocholic acid, taurodeoxycholic acid, glycocholic acid, cholic acid and glycodeoxycholic acid reference substances, and preparing the reference substance solution; preparing a test sample solution, namely filtering bile, taking filtrate, heating in a gradient manner, drying and grinding to obtain a test sample, and preparing the test sample solution; and constructing a fingerprint spectrum: respectively injecting the reference substance solution and the test solution into a high performance liquid chromatograph, and determining under a predetermined liquid phase condition to construct the bile acid fingerprint spectrum. The construction method can be used for fully and effectively separating and identifying various bile acid components in the bile, can be used for simultaneously detecting and measuring the various bile acid components in the bile, and has important significance in the aspects of quality control, authenticity identification, basic research on pharmacodynamic substances and the like of the bile.

The invention relates to the field of analytical testing, and particularly discloses a novel whitening and freckle-removing component peptomidodol quantitative method which comprises the following steps: (1) drawing a peptomidodol standard curve; (2) preparing a sample solution; and (3) high performance liquid chromatography detection and analysis. According to the present invention, with the liquid chromatography external standard method and the specific pretreatment means, the peptomidogen content in the cream sample can be simply, rapidly and efficiently determined, such that the peak interference problem of various substances is solved, and the quantitative error of the peptomidogen is reduced.

The invention discloses a dynamic calibration method for the sensitivity of a linear angular vibration sensor based on multi-frequency sine excitation. The method comprises the following steps: constructing a line angle vibration sensor sensitivity dynamic calibration device based on multi-frequency sine excitation; providing multi-frequency sine line angle excitation; collecting a motion sequence image and an output signal; calculating the line angle excitation displacement of the calibrated line angle vibration sensor; and calculating to obtain the sensitivity of the calibrated line angle vibration sensor. The method is efficient and accurate, and the calibration process is simplified; the method based on monocular vision is used for measuring the vibration displacement of the linear angle vibration sensor at different frequencies, and only a simple monocular vision measuring system is needed; the multi-frequency sine line angle excitation output by the line and angle vibration generating device can be controlled, and the influence of other extra excitation on the sensor can be effectively avoided; the method is suitable for different types of sensors, and the multi-frequency sine excitation method has a wide application range and can be used for calibrating different types of linear angle vibration sensors, such as gyroscopes and accelerometers.

The invention provides a method for detecting two types of chloronaphthylamine in drinking water by gas chromatography-mass spectrometry, which comprises the following steps: optimizing conditions such as a chromatographic column and temperature programming thereof, an extracting solvent and the use amount thereof, and combining liquid-liquid extraction with a gas chromatography-mass spectrometer to detect two types of chloronaphthylamine in drinking water. The invention establishes a novel method for simultaneously determining the content of two novel nitrogen-containing disinfection byproducts 2-chloro-1-naphthylamine and 4-chloro-1-naphthylamine in drinking water. The method has the characteristics of simplicity, accuracy, good reproducibility, high sensitivity and the like, is suitable for quantitative detection of 2-chloro-1-naphthylamine and 4-chloro-1-naphthylamine in drinking water, and provides a technical means for guaranteeing the quality safety of domestic drinking water.

The invention discloses a thermomechanical treatment method for improving the obdurability and the plate shape of an Al-Cu-Mg alloy plate. The thermomechanical treatment method comprises the following steps: (1) carrying out pre-stretching treatment on a deformed plate; (2) carrying out single-stage or graded solid solution heat treatment on the pre-stretched plate, wherein the final solid solution heat treatment temperature is T1; (3) cooling the plate subjected to solid solution treatment to a temperature T2 at an average cooling rate V1, and then cooling the plate from T2 to a room temperature at an average cooling rate V2; (4) the quenched plate is subjected to cold deformation treatment after being placed at the room temperature; and (5) the plate subjected to cold deformation treatment is subjected to pre-stretching treatment, and then natural aging is conducted under the room temperature condition. According to the method, the Al-Cu-Mg alloy plate is subjected to pre-stretching, solid solution heat preservation, graded controlled cooling quenching, room temperature standing, cold deformation, pre-stretching and natural aging treatment, and the Al-Cu-Mg alloy can obtain an ideal obdurability matching relation on the premise of controlling residual stress and the plate shape.

The invention discloses a method for detecting the content of trace cerium element in low alloy steel. The method comprises the following steps: respectively preparing a blank sample dissolved with a high-purity iron sample and a to-be-detected sample dissolved with a low alloy steel-containing sample; the method comprises the following steps: after selecting a cerium element standard mother solution, preparing a cerium element standard solution with gradient concentration by adopting a blank sample dissolved with a high-purity iron sample; and introducing the standard solution into an inductively coupled plasma emission spectrometer for measurement to obtain a standard curve, detecting the to-be-detected sample dissolved with the low-alloy-steel-containing sample under the same condition, and calculating the content of the cerium element in the to-be-detected sample dissolved with the low-alloy-steel-containing sample according to the standard curve. The method for measuring the trace cerium element in the low alloy steel through ICP is established for the first time, the method has the advantages of being high in sensitivity, good in stability, accurate in quantification, short in detection time, low in cost and the like, and a reliable detection method is provided for rapidly, efficiently and accurately measuring the content of the cerium element in the low alloy steel.

The invention relates to a detection method of a medicine for dispelling wind and eliminating dampness. The detection method comprises the following steps: thin-layer identification of a notopterygium root medicinal material, thin-layer identification of a radix angelicae pubescentis medicinal material, thin-layer identification of a radix saposhnikoviae medicinal material, thin-layer identification of ligusticum and ligusticum wallichii medicinal materials, and thin-layer identification of a honey-fried licorice root medicinal material. Through methodological investigation, the detection method has the effects of strong specificity, good durability, clear spots after thin layer expansion, satisfactory separation degree and the like, can effectively control the product quality condition, improves the product quality detection standard, and ensures the product quality.

The invention discloses a preparation method of an ITO / Au (at) CdS (at) ALP photoelectrochemical sensor for rapidly detecting organophosphorus pesticides. The method comprises the following steps: preparing Au (at) CdS NPs, and modifying the surface of the Au (at) CdS NPs with alkaline phosphatase to construct the sensor; different from a traditional photoelectrochemical sensor, a target substance is detected by causing change of system impedance or introducing (removing) a photoelectrochemical material, the intensity of a photoelectric signal is changed by changing the content of an electron donor in a system, and the preparation method is simple to operate, does not need a complex modification process, and is suitable for large-scale production. The method has good reproducibility and stability, and can rapidly, sensitively and accurately detect the organophosphorus pesticide.

The invention discloses a method for detecting tert-butylamine residues in S-acetamidomethyl-L-cysteine-L-leucine tert-butyl ester, and mainly solves the problem that the existing method for detecting the tert-butylamine residues in the S-acetamidomethyl-L-cysteine-L-leucine tert-butyl ester comprises the following steps: 1, preparing a sample, 2, carrying out gas chromatography detection, and 3, detecting the tert-butylamine residues in the S-acetamidomethyl-L-cysteine-L-leucine tert-butyl ester. According to the method, a polyethylene glycol capillary chromatographic column is mainly utilized, a gas chromatograph hydrogen flame detector is combined, and the tert-butylamine residue in the S-acetamidomethyl-L-cysteine-L-leucine tert-butyl ester is calculated according to a standard curve method.According to the method, synchronous detection of a to-be-detected sample without interference is achieved, the measurement precision is high, the method is simple, rapid and good in repeatability, and the method is suitable for large-scale popularization and application of the tert-butylamine residue in the S-acetamidomethyl-L-cysteine-L-leucine tert-butyl ester. And a reliable and convenient detection means is provided for detecting the tert-butylamine residue in the S-acetamidomethyl-L-cysteine-L-leucine tert-butyl ester.

The invention discloses an aircraft pneumatic data correction method based on parameter identification, which comprises the following steps: in a fixed wing mode, an aircraft stably and flatly flies at a certain fixed speed, and test flight data is recorded; in the fixed wing mode, on the basis of the first step, tail thrust is closed, gliding is kept at the stable speed, and test flight data are recorded; in the fixed wing mode, the flight speed is changed, and the steps 1-2 are repeated; and processing data according to a kinematics equation of the airplane to obtain an airplane lift-drag coefficient and tail thrust aerodynamic data, so as to correct the model. According to the method, the flight mechanics mathematical model is corrected by adopting a parameter identification method, the tail thrust model with interference can be accurately identified, and a basic guarantee is provided for control system design, aircraft simulation and flight quality evaluation of an aircraft.

The invention provides a method for detecting various plant-derived biochemical pesticides in apples, and belongs to the technical field of pesticide detection. According to the method, acetonitrile is used for extracting the plant-derived biochemical pesticide, graphene / nano-ZrO2 / C18 is used for purification, and qualitative and quantitative detection and analysis are carried out through high performance liquid chromatography-ultraviolet absorption spectrum-QDa mass spectrum. The result shows that the linear relation of triptolide, thidiazuron, indolebutyric acid, 2, 4-D, paclobutrazol and uniconazole in apples is good in the concentration range of 0.1-10 mg / L, and R2 ranges from 0.9990 to 0.9999; when the addition level is 0.1-10 mg / kg, the average recovery rate in an apple matrix is 80.3-92.3%, the relative standard deviation (RSDs) is 1.1-6.4%, the method detection limit (LOD, S / N > = 3) is 10-15 [mu] g / kg, and the quantitation limit is 50 [mu] g / kg.

This invention provides a system for evaluating the breakthrough pressure of temporarily plugged chemical bridge plugs, comprising: a high-temperature oven; a breakthrough pressure main device for holding the base fluid of the temporarily plugged chemical bridge plug, which can be arranged inside the high-temperature oven, the breakthrough pressure main device having an inlet pipeline and an outlet pipeline; a horizontal flow pump for injecting a displacement medium, the horizontal flow pump being connected to the inlet pipeline; a first pressure sensor and a second pressure sensor respectively installed on the inlet pipeline and the outlet pipeline; a pressure sensor workstation connected to the first pressure sensor and the second pressure sensor for recording the data measured by the first pressure sensor and the second pressure sensor; and a camera for capturing the breakthrough process of the temporarily plugged chemical bridge plug. This invention also provides a method for evaluating the breakthrough pressure of temporarily plugged chemical bridge plugs.

The present invention relates to a method for preparing an inner liner of a gourd-shaped airbag leak stopper for ships, which is characterized by: making a gourd-shaped inner liner mold, pre-treating the gourd-shaped inner liner mold with glue, air-drying, applying glue, drying, demoulding, and obtaining a finished inner liner. Beneficial effects: The present invention reduces the circumferential size of the gourd-shaped inner liner mold and saves the material of the gourd-shaped inner liner mold. The petal design is adopted to achieve a larger extension space for the inner liner under a smaller gourd-shaped inner liner mold size, and the petal-shaped inner liner can be folded better before the plugging operation. The integrated process flow and universal technical solution are adopted to make the preparation of the inner liner simple, fast and low-cost.

The present invention discloses a method for determining the type and color grade of diamonds based on Raman spectroscopy with an excitation wavelength of 405 nm. The method can determine the natural and synthetic properties of diamonds and provide a theoretical basis and technical support for the grading of diamond colors. The present invention relates to the field of determining the type of diamonds, i.e., whether they contain impurity N elements and the color grade of diamonds, and specifically to a method for detecting and identifying N3 structural defects in diamond crystal structures based on Raman spectroscopy with an excitation wavelength of 405 nm, and then determining the type and color grade of diamonds. The identification method of the present invention is accurate, non-destructive, and rapid, and can provide a universal and convenient directional identification basis for the qualitative determination of the natural and synthetic properties and color grades of diamonds, and provide a strong intellectual guarantee for the healthy and stable development of the diamond market.

The invention relates to the technical field of detection and analysis, in particular to a method for determining styrene polymers in a polyolefin-styrene polymer blending system, which comprises the following steps: (a) carrying out Py-GCMS test on a sample to be tested, selecting m / z 104 and m / z 168 as characteristic ions, and extracting corresponding ion chromatograms; (b) analyzing to obtain the type of the styrene polymer in the blending system according to the peak appearance condition in the ion chromatogram; the thermal cracking temperature in the test is 550-650 DEG C; in the blending system, the mass percent of the styrene polymer is 10%-100%. According to the method, the types of the polystyrene polymers blended with polyolefin can be quickly distinguished by utilizing the cracking principle of the styrene polymers with different structures at high temperature and understanding the difference of products, and the method is green, environment-friendly, accurate and efficient.

The invention provides a method for calibrating a low-temperature thermal field of an epitaxy machine, and is suitable for the technical field of reduced-pressure Ge and GeSi epitaxy. The method comprises the following steps: firstly, measuring the thickness of a Ge epitaxial layer at each position of a wafer in a static state through an ellipsometer, adjusting the offset value of each temperature zone, and ensuring that the temperature distribution difference of each temperature zone is controlled within 15%; and then, the offset is finely adjusted in the rotating state of the base, so that the thickness uniformity of the Ge epitaxial layer is within 2.5%. And finally, the TC compensation values of the center and edge temperature zones are adjusted, so that the thickness mean value of the Ge epitaxial layer reaches the range of + / -5% of the thickness of the standard sheet, and accurate calibration of the low-temperature thermal field is realized. The method does not need additional consumables or temperature monitoring instruments, is compatible with an existing epitaxial process, is rapid and accurate, remarkably improves the accuracy of low-temperature field control, and optimizes the thickness uniformity and lattice quality of an epitaxial layer.

The invention discloses an electroencephalogram emotion recognition method and device based on comparative learning and a graph neural network. The method comprises the steps that firstly, data preprocessing is conducted on electroencephalogram signals, baseline signals are removed, and time sequence segmentation and baseline effect removal are conducted; then constructing a node feature extraction module, and extracting time and space features by using time convolution and depth separable convolution; next, sampling and aggregating neighbor node features on the complete undirected graph by using a GraphSAGE algorithm, and generating graph-level features through a full connection layer; then, constructing a comparative learning module, generating a triple sample pair according to the graph-level features, carrying out triple comparative learning, and selecting a semi-hard negative sample for training; and finally, constructing a classifier through a full connection layer and a softmax function to perform emotion classification. According to the method, the time and space features and the graph structure information of the electroencephalogram signals are effectively extracted and utilized through the method combining comparative learning and the graph neural network, and the accuracy of emotion recognition is improved.

This invention relates to the field of drug detection technology, specifically to a method for detecting nitrogen oxide impurities in vonoprazan fumarate tablets and its application. The invention employs liquid chromatography-mass spectrometry (LC-MS) to detect the nitrogen oxide impurities in the sample. The detection method provided by this invention can achieve qualitative and quantitative analysis of nitrogen oxide impurities in vonoprazan fumarate tablets, and has advantages such as high impurity separation, good specificity, high precision, good repeatability, and high sensitivity. The method is accurate and reliable and can be widely applied to the quality testing of vonoprazan fumarate tablets.

The invention discloses a system and method for verifying the polarity of bus differential protection by using transformer excitation inrush current, comprising a high-voltage bus unit, a bus power branch unit, a bus transformer branch unit, a bus differential protection device, a recording unit and a secondary circuit unit; the bus power branch unit and the bus transformer branch unit are connected to the high-voltage bus unit; the bus power branch unit and the bus transformer branch unit are connected to the bus differential protection device via a secondary circuit unit, and the recording unit is connected to the secondary circuit unit. The system and method can verify the polarity of bus differential protection by using transformer excitation inrush current, and are simple and easy to implement.

This invention discloses an immune cell with enhanced anti-tumor effect, its preparation method, and its application. Experiments using this invention show that... SERTAD1 CD8 gene overexpression + T cells can enhance their function in anti-tumor immunotherapy. SERTAD1 Gene overexpression can downregulate CD8 + The expression of immune checkpoint molecules on T cells upregulates the expression of mRNAs of tumor-killing cytokines. In the MC38-OVA subcutaneous tumor model, Naïve CD8 cells were extracted from OT-I mice. + T cells were infected with a virus to overexpress SERTAD1, followed by adoptive transfer to mice. The results showed that SERTAD1 overexpression enhanced CD8 expression. + T cells kill MC38-OVA cells, inhibit the growth of MC38-OVA tumor cells, and overexpress SERTAD1 CD8. + The tumor volume and weight in the T-cell adoptive group were significantly smaller than those in the control group.

The invention provides a driver distraction state early warning method and device based on a progressive residual error regression network, and belongs to the technical field of vehicle safety, and the method comprises the steps: obtaining a face image of a driver in a vehicle in real time; performing feature extraction on the face graph to generate a first-stage feature graph, and performing attention mechanism processing to generate a second-stage feature graph; respectively carrying out head posture information processing and sight line direction processing on two paths of parallel processed threads of the two-stage feature map to generate a first processing result based on the head posture information and a second processing result based on the sight line direction; and inputting the data into a pre-constructed vehicle speed-based distraction state early-warning model for judgment, and if the data exceeds an early-warning threshold value, performing driver distraction state early-warning. Different sight early warning areas and duration threshold values are defined according to different vehicle speeds, whether the driver is in the distraction state or not is evaluated in combination with the head posture and the sight direction of the driver, and the accuracy of evaluation of the distraction state of the driver is effectively improved.

A method for detecting particulate matter emissions due to the use of a braking system of a vehicle and providing information representative of said particulate matter emissions, comprises the steps of: during the travel of the vehicle:-acquiring, by means of a portable electronic device (2) in the vehicle, identification data of the vehicle entered by the driver of the vehicle; -acquiring driving data (DG) of the vehicle during the travel of the vehicle by means of a plurality of sensors of a portable electronic device (2) in the vehicle; storing, by means of at least one data processing module of the portable electronic device in the vehicle, the acquired driving data (DG) of the vehicle (1) in at least one memory module of the portable electronic device in the vehicle as a first time sequence (S-DG) of points, in which points the driving data (DG) of the vehicle (1) are stored, each point has respective driving data (DG) of the vehicle (1) associated with that point; -transmitting, by means of the portable electronic device (2) in the vehicle, driving data (DG) of the vehicle stored as a first time sequence (S-DG) in at least one memory module of the portable electronic device (2) in the vehicle to the remote computer; -performing, by a data processing unit of the remote computer (200), a first process on the received driving data (DG) of the vehicle to determine a representation of the driving data (DG) of the vehicle as a second time series (S-EF) of points, each point representing an actual braking event (EF), each point having a respective driving data (DG) of the vehicle associated with that point; for each braking event represented by the points of the second time series (S-EF), the method comprises the following steps: performing, by a data processing unit of the remote computer (200), the following:-by applying a first physical quantity (G1; tR) on the basis of a first calculation module (M1) for calculating the first physical quantity (G1; tR) of the vehicle, a first subset (S1) of driving data (DG) of the vehicle in a point of a second time series (S-EF) corresponding to the braking event (EF) and one or more of a plurality of information (PI) from a source external to the remote computer (200) and the portable electronic device (2) in the vehicle, the plurality of pieces of information (PI) include first information indicating an environment in which the vehicle travels, second information (I2) indicating a road condition in which the vehicle travels, and third manufacturing information (I3) of the vehicle (1); -applying a second physical quantity (G2; G3) for the brake system of the vehicle; tR) for determining a second physical quantity (G2; TR) on the basis of a second determination calculation module (M2) for determining the second physical quantity (G2; tR) for determining: a second subset (S2) of driving data (DG) of the vehicle in a point of a second time series (S-EF) corresponding to the braking event (EF) and one or more of a plurality of information (PI) from a source external to the remote computer (200) and the portable electronic device (2) in the vehicle; by applying a third calculation module (M3) for particulate emissions (EP); determining one or more values representative of particulate matter emissions (EP) due to a braking event (EF) based on: a third subset (S3) of driving data (DG) of the vehicle in points of a second time series (S-EF) corresponding to the braking event (EF), a value (PR) of a first physical quantity of the vehicle braking system, a value (TR) of a second physical quantity of the braking system, and a second subset of driving data (DG) of the vehicle in points of a second time series (S-EF) corresponding to the braking event (EF); and one or more of a plurality of information (PI) from a source external to the portable electronic device (2) in the remote computer (200) and the vehicle; -providing the driver with the aid of a portable electronic device (2) in the vehicle the determined one or more values representative of the particulate emissions (EP) due to the braking event (EF).

This invention relates to a rapid prediction method for the spoilage period of heat-sensitive, oil-containing powdered products. The method includes: measuring the shelf life (t) of pure oil products from different manufacturers with the same shelf life; measuring the OSI value of the oil at 120°C and calculating the average value (a); placing the oil-containing powdered products in ovens at different temperatures for fortification, and determining the highest fortification temperature (T) at which browning does not occur; taking pure oil with an OSI value of a ± 0.1 h and measuring the sensory spoilage period (d days) of the pure oil at T°C, and calculating the average peroxide value rate (V1); fortifying the oil-containing powdered products at T°C for d days; taking oil-containing powdered samples before and after fortification, extracting them with an organic solvent to obtain the extracted oil before and after fortification, and calculating the average peroxide value rate (V2); if V2 ≤ V1, then the predicted spoilage period of the oil-containing powdered products is ≥ t. This invention provides a simple and highly accurate method.

The invention belongs to the technical field of pharmaceutical analysis, and particularly relates to a method for separating and determining ethyl gatetate and impurities thereof through gas chromatography pre-column derivatization. The impurities comprise one or more of an impurity SM1c5, an impurity SM1c8 and an impurity SM1c. The method comprises the following steps: respectively carrying out pre-column derivatization treatment on each component by taking ethanol as a derivatization agent to obtain an impurity SM1c5 derivative, an impurity SM1c8 derivative and / or an impurity SM1c derivative; separating the derivatized compound by adopting gas chromatography; in the gas chromatography, a capillary column taking 6% cyanopropyl phenyl-94% dimethyl polysiloxane as a stationary liquid is adopted as a chromatographic column, a heating program is utilized for separation, and a product enters a detector for detection; and determining the nature of each component according to the chromatogram, and judging whether the impurity content in the detected product is qualified or not by adopting a limit method. The method has the characteristics of good separation degree, good durability, high sensitivity and good reproducibility.

The application provides a high-temperature connecting piece evaluation method and system considering stress relaxation, and relates to the technical field of connecting piece performance detection, and comprises the following steps: determining the type of complex load according to the pre-tightening force of the connecting piece; determining the attribute value of the connecting piece according to the complex load type; obtaining the initial equivalent stress level calculation equation under the type of the complex load according to the attribute value and the stress distribution characteristics of the complex load type; determining the Norton-Bailey constitutive equation coefficients A, stress index m and time index n, establishing the equivalent relaxation theory equation, and obtaining the axial average stress of the connecting piece after relaxation in combination with the composition working condition characteristics of each load in the complex load type; and comparing the axial average stress of the connecting piece after relaxation with the preset minimum clamping limit value to evaluate the connecting piece. The application solves the problem of lacking a stress relaxation calculation method for high-temperature connecting pieces under complex load in the prior art.

The invention provides a method for evaluating shale oil molecule composition in different occurrence states under in-situ conditions of medium and high-maturity shale. The method comprises the following steps: performing pressure-maintaining coring to obtain a shale sample; rapidly crushing the shale sample to 20-60 meshes, and carrying out component analysis in TD-GC (Time Division-Gas Chromatography) to obtain the free oil light component molecular composition in the communicating holes; the method comprises the following steps: crushing a shale sample to 2.5-5 meshes, and sequentially and respectively extracting by using normal hexane and dichloromethane; then crushing the residue shale sample to 60-80 meshes, and extracting by using dichloromethane; finally, crushing the residue shale sample to 200-250 meshes, and extracting by using a mixed solvent of dichloromethane and methanol; and carrying out molecular composition analysis on the obtained extract. According to the method, light component dispersion loss is considered, and the reliability and persuasion of an evaluation result are greatly improved; molecular composition of shale oil in different occurrence states is determined, difference of molecular composition of shale oil in different pore spaces is clarified, and shale oil component systematic evaluation is realized.

The invention belongs to the technical field of biology, and particularly relates to application of an SSR marker in authenticity / purity identification of a cucumber variety Jingyuanqiv No.2. The SSR primer group for identifying the authenticity / purity of the cucumber variety Jingyuanqiv No.2 comprises at least one pair of eight primer pairs. The invention discloses a method for identifying the authenticity / purity of a cucumber variety Jingyuanqiv No.2. The method comprises the following steps: firstly, extracting genome DNA of a sample to be detected; taking the genome DNA as a template, carrying out PCR (Polymerase Chain Reaction) amplification reaction by utilizing the primer pair to obtain a PCR amplification product, and detecting and judging the variety of the sample to be detected. The SSR primer combination disclosed by the invention can be used for early identification of the cucumber variety Jingyuanqiv No.2 in a seed or seedling stage, and the identification method is rapid, accurate and stable.