25results about How to "The pre-processing process is simple" patented technology

The utility model discloses a paper and water contact angle test sample pretreatment table device which comprises a working table, a sample table arranged at the top of the working table, mucilage glue arranged on the side wall of the sample table in a surrounding mode, a tension sensor used for monitoring tension changes of paper in real time arranged in the sample table, and a plurality of inclined track grooves formed in the periphery of the sample table. A linear motion sliding table is installed in the inclined rail groove, a telescopic rod is installed on a sliding plate of the linear motion sliding table, the output end of the telescopic rod is vertically upward and provided with a clamp used for clamping paper, an annular cutter is further arranged above the sample table, and the inner diameter of the annular cutter is smaller than the outer diameter of the sample table. The two ends of the annular cutter are connected with a lifting air cylinder arranged on the workbench. A bubble level for leveling the workbench is also arranged on one side of the sample table; by means of the design, the technical problems that in a traditional treatment mode, complex pretreatment, such as flat layer coating or special paper adopting, usually needs to be conducted on paper, the operation difficulty is high, and a test result deviates from a true value are solved.

The application relates to the technical field of building information technology and discloses a building 3D model automatic generation method and system based on a DXF file, which comprises the following steps: extracting floor numbers by analyzing the file name of a multi-floor DXF file, performing concurrent format conversion on multiple files to generate GeoJSON data, identifying building components such as walls, doors, windows and rooms of each floor through geometric semantic analysis to generate a floor building semantic model, assembling and generating a complete 3D building model according to the floor sequence based on the semantic model, and simultaneously realizing asynchronous task scheduling of each link by using a distributed micro-service architecture. The application can realize full-automatic, efficient and high-precision generation of a building 3D model, greatly reduces the modeling cost and technical threshold, and is suitable for application requirements of multiple scenes such as building design, real estate display and city digital twinning.

The present application relates to a kind of spectral analysis system and method, specifically, a kind of laser-induced breakdown spectroscopy analysis system and method based on suspended electrode and filter paper.The system includes filter paper, adjustable sample stage, high-voltage discharge device, suspended electrode, laser ablation device and spectral signal acquisition and analysis device.The present application uses suspended electrode to change the distribution characteristics of high-voltage electric field, increase local electric field line density and electric field intensity, improve the collision frequency of charged particles in plasma, so as to further enhance the detection sensitivity of LIBS to trace elements, and reduce its detection limit.High-voltage discharge device is used to excite laser plasma again, to improve the detection and analysis ability of target elements.Filter paper enrichment method is used for pretreatment of the sample to be measured, which can effectively reduce the interference of liquid matrix on plasma spectral signal, and improve the sensitivity and stability of detection signal.

The application discloses a method for simultaneously and rapidly detecting the concentration of four immunosuppressants, comprising the following steps: mixing a blood sample with an internal standard solution containing ascomycin, cyclosporine-d4, sirolimus-d3 and everolimus-d4, adding a precipitant and centrifuging to obtain a sample to be detected; injecting into a liquid chromatography-tandem mass spectrometry system for analysis to obtain original data containing the retention time window and mass spectrum response signal of four analytes; searching the original data based on an interferent database, wherein the interferent database contains a plurality of compounds that can possibly generate mass spectrum signal interference and characteristic ion information thereof; inputting the original data and the searched potential interferent information into a machine learning model to output a net mass spectrum response value after interference correction; and calculating the concentration of tacrolimus, cyclosporine, sirolimus and everolimus in the blood sample according to the obtained net mass spectrum response value, the mass spectrum response value of the corresponding internal standard and a pre-established standard curve.

The embodiment of the present application discloses a feeding method for improving the survival rate and weight of Polyphylla laticornis larvae in the process of processing and converting fungus dungs. The feeding method comprises the following steps: S1: obtaining the feces generated in the feeding process of 2nd instar and / or 3rd instar Polyphylla laticornis larvae; S2: obtaining the feces substrate formed by the feces; S3: putting the 2nd instar Polyphylla laticornis larvae into the feces substrate, and placing them in an environment with a temperature of 28±2 DEG C and a light cycle of L:D = 16h:8h for feeding for 10 days, and the substrate humidity is controlled at 50%-55%; S4: picking or screening the larvae fed for 10 days from the feces substrate, and putting them into fungus dung substrate for further feeding. The present application can improve the survival rate and weight of Polyphylla laticornis larvae in the process of processing and converting fungus dungs, improve the utilization rate of insect feces, simplify the pretreatment process of fungus dungs, and reduce the feeding cost. The feeding method is simple and feasible, convenient to obtain materials, and has a great promoting effect on the processing and converting fungus dungs industry of Polyphylla laticornis.

The application discloses a mechanical-chemical preparation method of potassium borohydride, and belongs to the technical field of potassium borohydride preparation. The method is characterized in that magnesium-based reducing agent, hydrogen supplementing agent and potassium borate hydrate are used to prepare potassium borohydride through a mechanical-chemical method under a protective atmosphere, and the prepared potassium borohydride is subjected to yield testing and purification under an air atmosphere. The method can realize solid-phase mechanical-chemical reaction under a vibration or low-energy planetary ball milling condition, breaks through the limitation that the reaction must be driven by high-energy ball milling equipment in the prior art, and can realize synthesis of potassium borohydride with a yield of more than 90% through low-energy planetary ball milling, so that the method has large-scale production application potential. In addition, the method has the advantages of simple process, convenient operation and low cost.

The application discloses Au@PATP@Ag NRs nanomaterial and a preparation method and application thereof. The application also discloses a method for qualitatively and quantitatively detecting nicotine concentration based on surface enhanced Raman scattering technology and application thereof. The Au@PATP@Ag NRs nanoparticles are used as active base materials of SERS, and a target object is analyzed and detected by using a Raman spectrometer. According to a linear relation equation of a ratio of SERS signal intensity of different concentrations of nicotine solution to characteristic peaks of nicotine and an internal standard substance, the content of nicotine in a solution to be detected can be obtained, and the detection sensitivity of nicotine is greatly improved. The internal standard molecule is introduced into the core-shell structure, and the accuracy of quantitative detection of nicotine is improved. The application also has great application in sensitive detection of nicotine in cigarettes and environmental cigarette smoke. In addition, the application also has the advantages of simple principle, rapidness, simple pretreatment, high selectivity, high detection sensitivity and the like.

This invention discloses a graphene oxide-based monovalent cation-selective membrane and its applications, belonging to the field of separation technology. The monovalent cation-selective membrane comprises graphene oxide, with tannic acid anchored between the graphene oxide layers via hydrogen bonding and π-π stacking to form a first cross-linked network. Dioctadecyl dimethyl ammonium bromide is anchored between the graphene oxide layers via electrostatic adsorption and forms a second cross-linked network with tannic acid through electrostatic attraction. Dioctadecyl dimethyl ammonium bromide is added to an alkaline aqueous solution of graphene oxide, followed by the addition of tannic acid and thorough mixing. The mixture is then filtered to form a membrane, which is subsequently dried and annealed to obtain the monovalent cation-selective membrane. This invention can simultaneously improve the monovalent / divalent cation sieving performance and ion flux of the membrane, while also enhancing its permeation energy generation capacity. It breaks the trade-off between selectivity (sieving characteristics) and flux in ion-selective membranes, providing a new approach and technical reference for the development of multifunctional ion exchange membranes for complex water bodies.

The application provides a method for improving the sensitivity of liquid chromatography-mass spectrometry in detecting vitamin K1 in serum, which comprises the following steps: preparing a sample solution of vitamin K1 to be detected by using a liquid-liquid extraction method to obtain an initial sample solution; and redissolving the initial sample solution by using an aqueous solution containing at least isopropanol as a redissolving agent to obtain a sample solution to be detected; and adding ammonium fluoride after an LC-MS column to improve the mass spectrometry detection sensitivity of the vitamin K1 sample. By using the technical scheme of the application, isopropanol or isopropanol+methanol is used as a redissolving agent to replace methanol in the prior art as a redissolving agent, the mass spectrometry detection sensitivity of VK1 is improved, the recovery rate is improved, the detection method has good stability, and the clinical detection requirements can be met; meanwhile, the ammonium fluoride in the liquid chromatography can be completely replaced, the system pressure of the liquid chromatograph is reduced, and the service life of the chromatographic column is prolonged.

This invention discloses an image measurement device and method based on real-time compensation using a laser interferometer. The device includes an X-axis guide rail, an X-axis air-bearing moving platform mounted on the X-axis guide rail, a Y-axis guide rail mounted on the X-axis air-bearing moving platform, a Y-axis moving platform mounted on the Y-axis guide rail, an image acquisition module mounted on the Y-axis moving platform, an X-axis laser interferometry module, a Y-axis laser interferometry module, an X-axis position detection module, and a Y-axis position detection module. This invention accurately measures the straightness errors of the X-axis and Y-axis guide rails in the horizontal and vertical directions using the X-axis and Y-axis laser interferometry modules, respectively. The straightness deviations of the two guide rails are quantified and integrated into the overall positioning error to achieve real-time dual-axis compensation, improving positioning accuracy. Combined with the deep linkage between the positioning system and the image measurement system, this invention meets the practical needs of the precision image measurement field.

The application relates to the technical field of raw material pretreatment, in particular to an activated carbon fiber raw material pretreatment device, which comprises a treatment box, a base fixedly installed at the bottom of the treatment box, a feeding hopper fixedly connected to the top end of the treatment box, a discharging pipe fixedly connected to the bottom end of the treatment box, two crushing rollers arranged in the treatment box, and a driving structure arranged on the treatment box and used for driving the two crushing rollers to rotate in opposite directions; a filter plate is arranged below the crushing rollers in the treatment box, the filter plate is in an inverted V-shaped structure, guide plates are fixedly connected to the two sides of the filter plate, and a shaking unit for driving the filter plate to shake is arranged in the treatment box; the uniformity of the discharging granularity is ensured, the utilization rate of the raw material is improved, and manual collection of the unfiltered raw material and refeeding of the raw material into a crusher for secondary crushing are not needed.

An apparatus (1) for pre-treating the recovery of industrial textiles (F), the apparatus (1) having a feed direction (D) and a transverse direction (C). The device (1) comprises a movable frame (7) and a plurality of members mounted on the frame (7), wherein the plurality of members comprise a nip (N) with a drive roller (2) and at least one cutting blade (4a, 4b, 4c). A method for pre-treating the recovery of industrial textiles (F) is also disclosed.

The application discloses a kind of aramid fiber beating pretreatment method, belong to aramid pulp preparation technical field.The application utilizes CaCl2 solution to aramid fiber pretreatment, obtains CaCl2 modified aramid fiber, then again through silane coupling agent ethanol solution treatment obtains pretreated aramid short fiber.The application utilizes CaCl2 solution to treat aramid fiber, both to aramid fiber has etching effect, improves specific surface area, while complexed Ca 2+ , weaken the hydrogen bond interaction between aramid molecules, thereby reducing beating time and energy consumption.CaCl2 solution to aramid fiber treatment both removes most of the oil agent on the surface of aramid fiber, and also plays a swelling effect on the fiber, saves the step of soaking the fiber before beating.After surface grafting by silane coupling agent, the active sites of aramid fiber are increased, so that the aramid pulp obtained by beating is more easily compounded with rubber matrix.

The application discloses a kind of based on optimization random forest wear prediction method and system, it is related to mechanical fault prediction technical field.Method includes collecting component radial wear amount full life time series data, with total service length as input, radial wear amount is sample and is divided training set and verification set with label construction;After missing value deletion, abnormal value rejection, MinMax normalization preprocessing;DE-RF model of fusion improved differential evolution algorithm and random forest is constructed, and RF key parameter is optimized using adaptive mutation factor;With MAE and average relative error weighted sum as fitness function, train model, and simultaneously construct RF baseline model;Finally, input real-time data realizes online wear prediction and evaluates precision.Experiments show that the prediction accuracy and stability of DE-RF model are significantly better than those of traditional model, and it is suitable for high-precision wear prediction of screw structure pressure-bearing pipe components, providing technical support for predictive maintenance of equipment.

The invention discloses a method for detecting the content of pyrroloquinoline quinine and / or pyrroloquinoline quinine salt and application. The provided method for detecting the content of pyrroloquinoline quinine and / or pyrroloquinoline quinine salt comprises the following steps: uniformly mixing a sample to be detected with a disodium hydrogen phosphate aqueous solution to prepare a solution to be detected, the pH of the solution to be detected being neutral; the to-be-detected solution is subjected to high performance liquid chromatography detection, and the conditions of high performance liquid chromatography detection are as follows: a disodium hydrogen phosphate aqueous solution is taken as a mobile phase A, acetonitrile is taken as a mobile phase B, and isocratic elution is carried out. In the provided method for detecting the content of pyrroloquinoline quinone, the pH value of the solution powder to be detected is controlled to be neutral, and the pyrroloquinoline quinone in the sample to be detected can be rapidly, accurately and conveniently detected by adopting a disodium hydrogen phosphate aqueous solution as a mobile phase A and combining conditions such as isocratic elution.

The invention belongs to the technical field of biological detection, and particularly relates to a dual-mode biosensor based on an internal filtering effect and electron transfer and application of the dual-mode biosensor in pathogen detection. Specifically, according to the ECL / EC dual-mode biosensor based on the difunctional methylene blue, the dual-mode biosensor at least comprises a working electrode, an electrochemical signal probe and a Fe3O4 / aptamer: ps compound. The dual-mode biosensor realizes rapid and accurate detection of staphylococcus aureus by integrating specific bacterium capture, RCA signal amplification and IFE and electron transfer dual-mechanism signal regulation and control, so that the dual-mode biosensor has good practical application value.

This invention belongs to the fields of medical image processing, hemodynamic simulation, and deep learning technology, and relates to a rapid prediction method for the flow field in type B aortic dissection. The method includes: acquiring CT image data of the type B aortic dissection to be analyzed; performing three-dimensional segmentation and reconstruction to obtain a geometric model of the aortic dissection, and dividing the data into grids; mapping the aortic dissection geometric model onto regular grid points to construct an input geometric function; inputting the input geometric function into a pre-trained operator network for forward computation to obtain the predicted blood flow field distribution, thus achieving rapid prediction. The operator network includes: a lifting layer for mapping the input geometric function to a high-dimensional feature space; a Fourier layer for extracting global and local features in the blood flow field; and a projection layer for projecting the feature vector output by the Fourier layer back to the target dimension to obtain the blood flow field function.

This invention discloses a method for detecting volatile organic compounds (VOCs) in water based on a miniature ion trap mass spectrometer. The detection method includes a membrane sample introduction system 6 and a detection system 10. A polydimethylsiloxane (PDMS) tubular membrane 4 is immersed in the water sample to be tested. An air pump draws air as a carrier gas to carry the VOCs, such as tetrachloroethylene, enriched by the PDMS tubular membrane into the detection system, achieving rapid detection of VOCs in water. This method has advantages such as fast detection speed and high sensitivity, and the instrument is portable and easy to operate, making it suitable for on-site detection.

The application discloses a whole vehicle power balance method and system based on spatiotemporal causal graph convolution and intention load cooperation. The method extracts pseudo-synchronous input features from a multi-modal buffer to construct a dynamic graph, and uses a dynamic edge weight generator and a spatiotemporal causal graph convolution layer to extract global graph features. The input intention perception predictor is parallelly outputted with a continuous intention encoding vector and a future load power sequence through a causal mask transformer encoder and a conditional time series convolution network, and semantic alignment is realized through intention-load consistency loss. An enhanced observation state containing an intention vector and a load prediction is constructed, and multi-agent reinforcement learning is used for joint training to generate a control strategy by weighting atomic rewards according to intention intensity. The application realizes multi-modal spatiotemporal feature alignment and intention-load cooperative decision-making, and significantly improves the energy efficiency and dynamic response accuracy of whole vehicle power balance.

The application discloses a verifiable privacy search method and system, a server maps an original database into a lattice matrix and calculates an auxiliary index matrix, a client generates a hash digest of the auxiliary index matrix and strips the hash digest to the server for depositing; the client constructs privacy query ciphertext based on a linear privacy search mechanism of a lattice difficulty problem; the server calculates a homomorphic response vector and constructs a proof tensor; the client generates a challenge vector, and the server generates a compressed proof according to the proof tensor; the client performs consistency verification, and if the verification is passed, the client restores target data through a stripping signal, otherwise, the client triggers an alarm; and the client inversely maps the target data and delivers the target data to an application layer. The system is deployed in a client-server architecture and supports coexistence of stateful and stateless clients. The application realizes privacy search and response verification, is lightweight and suitable for resource-limited devices, can be applied to various structured database scenes, and has high security and implementability.

The invention provides a method for detecting volatile and semi-volatile organic compounds in aerosol of a heated cigarette and application of the method. The method for detecting the volatile and semi-volatile organic compounds in the aerosol of the heated cigarette comprises the following steps: (1) smoking the heated cigarette to be detected, and trapping the aerosol by using a filter disc and an adsorbent; (2) mixing the filter disc capturing the aerosol, the adsorbent, an internal standard and a solvent, and extracting to obtain an extract; and (3) carrying out gas chromatography-tandem mass spectrometry detection on the extract, and obtaining the content of volatile and semi-volatile organic compounds in the heated cigarette to be detected according to the detection result. The method provided by the invention can simultaneously separate and analyze the content of volatile and semi-volatile organic compounds in various aerosols, improves the detection flux, improves the analysis efficiency, simplifies the pretreatment process, has the advantages of high flux, good peak shape, high separation degree, high sensitivity, good recovery rate and the like, and is suitable for industrial production. The method is suitable for analysis and determination of main volatile and semi-volatile organic compounds in heated cigarette aerosol.

This utility model provides a cable branch head with flame extinguishing function, belonging to the technical field of cable installation accessories. It solves the technical problems of traditional cable branch heads, such as cumbersome wire stripping operation, simple connection structure, and lack of active fire extinguishing function. It includes a shell and a connecting cylinder, with the connecting cylinder located inside the shell. Three circumferentially distributed connecting components are provided on one end of the outer circle of the connecting cylinder. A first stripping groove and a second stripping groove are provided on the other end of the outer circle of the connecting cylinder. Two symmetrical blades are detachably installed inside the first stripping groove, perpendicular to its axis. A second blade is detachably installed inside the second stripping groove, along its axis. Both the inner and outer surfaces of the shell are coated with a microcapsule-type fire extinguishing coating. This utility model integrates wire stripping function, simplifies operation, ensures circuit stability through optimized connection structure, and improves safety performance through the fire extinguishing coating and sealing design.

The invention is suitable for the technical field of agricultural product traceability detection, and relates to a soybean producing area traceability detection method based on laser-induced breakdown spectroscopy, which comprises the following steps: firstly, collecting soybean samples, constructing a sample model with multiple mixed producing areas, pressing soybeans into tablets according to a certain pretreatment method, and scanning the LIBS spectrum of the tablets to obtain a soybean producing area traceability detection result; the method comprises the following steps: dividing a data set after spectrum preprocessing such as baseline reduction, smoothing and normalization, building and training a 1D-ResNet soybean producing area discrimination model, and evaluating the performance of the model through a series of indexes. According to the detection method, the accuracy and the stability of the soybean classification model are effectively improved, meanwhile, compared with other machine learning algorithms, 1D-ResNet also improves the judgment accuracy of small-sample-size samples and multi-production-place mixed samples, and the method has important significance on rapid evaluation and deployment of soybean production place traceability.

The application provides a preparation method, product and application of lithium sulfide, and belongs to the technical field of inorganic compound synthesis. The lithium sulfide with high product purity and low carbon content is obtained through four steps of lithium source pretreatment, lithium sulfite intermediate synthesis, lithium sulfite reduction and product post-treatment by using anhydrous lithium hydroxide or lithium oxide as a lithium source, sulfur dioxide as an acidifying agent and hydrogen or methane as a reducing gas, and can be directly applied to high-end fields such as full solid-state batteries and lithium-sulfur batteries, and has important significance and broad industrial application prospects for breaking through the industrialization bottleneck of full solid-state batteries.

This invention belongs to the field of gas separation and carbon capture technology, specifically relating to a CO2 adsorbent suitable for treating hot flue gas, its preparation method, and its application, particularly suitable for the efficient capture and separation of CO2 in medium- and high-temperature industrial hot flue gas systems. The adsorbent is a ternary eutectic solvent, with 4-methylimidazole (4MI) as the first hydrogen bond acceptor, 3-aminopropanol (3AP) as the hydrogen bond donor, and monoethanolamine (MEA) as the second hydrogen bond acceptor; wherein the molar ratio of 4-methylimidazole (4MI) to 3-aminopropanol (3AP) is 1:3, and the mass of monoethanolamine (MEA) accounts for 20-40 wt% of the mass of the binary eutectic solvent composed of 4MI and 3AP. This invention solves the problem of decreased absorption capacity and inability to adapt to industrial hot flue gas scenarios of existing DES-type CO2 adsorbents at medium and high temperatures, achieving efficient CO2 capture in a temperature range of 20-100℃. Simultaneously, this adsorbent possesses characteristics of water resistance, good thermal stability, and excellent cycle performance, making it suitable for industrial applications.