27results about How to "Combine accurately" patented technology

The invention discloses a preparation method and application of a sensor array based on luminous carbon dots, and relates to the technical field of sensors, the preparation method comprises the following steps: preparing a carbon source which comprises a precursor containing a targeting functional group or a biomolecule derived carbon source, preparing the luminous carbon dots through a chemical synthesis or physical method, modifying the surfaces of the carbon dots, and preparing the sensor array based on the luminous carbon dots. A core-shell structure is added on the surface of a carbon dot by using an in-situ growth method or a layer-by-layer self-assembly method, the carbon dot with the added core-shell structure is fixed on a substrate of a sensor array, and a performance test is carried out. By synthesizing the carbon dots with a targeted recognition function, the selectivity and the sensitivity of the sensor to a target substance can be remarkably improved, and in the synthesis process, the carbon dots can generate specific interaction with the target substance by adjusting factors such as the structure, the shape, the size and the surface chemical property of the carbon dots; therefore, accurate identification of the target substance is realized, and detection of the marker is realized.

The invention provides a temperature monitoring method and device in a power transmission line, and relates to the technical field of power transmission lines. The method comprises the following steps: acquiring steady-state temperature data corresponding to a power transmission line in response to a temperature monitoring operation for the power transmission line; according to the steady-state temperature data, constructing a first power transmission line temperature calculation model through a heat balance equation; through a wire through-flow test, if first accuracy corresponding to the first power transmission line temperature calculation model does not meet preset accuracy according to first temperature data calculated by the first power transmission line temperature calculation model, obtaining the influence degree of a plurality of error influence factors on the temperature calculation model; according to the influence degree of the plurality of error influence factors on the temperature calculation model, performing model improvement on the first power transmission line temperature calculation model to obtain an improved second power transmission line temperature calculation model; and performing temperature monitoring operation on the power transmission line in real time through the second power transmission line temperature calculation model if it is confirmed that the second accuracy of the second power transmission line temperature calculation model meets the preset accuracy according to second temperature data calculated by the second power transmission line temperature calculation model through a wire through-flow test. According to the invention, the problems of low monitoring efficiency and low monitoring accuracy caused by analyzing the influence degree of error influence factors on the temperature parameters in the wire by only depending on manual routing inspection which needs to consume a large amount of manpower and material resources to cover the whole network and cannot accurately combine the influence factors in multiple aspects are solved.

The invention belongs to the technical field of production big data application, and particularly relates to a high-ventilation seat cover processing method and system.The high-ventilation seat cover processing method comprises the steps that in a fabric cutting piece design drawing, a high-pressure area range is recognized according to pressure distribution data and a unified standard; the contour range capable of covering the high-pressure area range is determined, the shape and pressure distribution data of the high-pressure area range in the contour range and the material attribute data of the fabric cut-parts are input into a neural network model, the neural network model outputs a silica gel structure scheme, the silica gel structure scheme is converted into a three-dimensional form and adjusted, and the silica gel structure scheme is obtained. And forming a silica gel structure according to the adjusting scheme, and hot-pressing the corresponding fabric cutting pieces on the back surface of the outline range. According to the method, the neural network model is used for analyzing and optimizing the high-pressure area, the silica gel structure scheme is output, it is ensured that the high-pressure area is effectively supported, meanwhile, good ventilation performance is kept through the reasonably-distributed air holes, and the conflict between the ventilation requirement and the structural strength requirement is pointedly solved.

The utility model provides a portable electric steel bar shearing pliers, electric steel bar shearing pliers technical field, include: shearing pliers main part, it includes motor and cutter, the motor input of shearing pliers main body is electrically connected with power interface, battery module, one end electrically connected with interface line, the interface line with power interface corresponds, quick -detachable structure, it is set between shearing pliers main body and battery module, quick -detachable structure includes first clamping frame, second clamping frame, elastic member and two clamping blocks. The utility model has the advantages that: through detachable battery module and quick -detachable structure, can realize the quick replacement of battery, need not long time to wait battery charging, has improved work efficiency greatly, the detachable battery design makes shearing pliers need not external power line, has improved the flexibility and convenience of use, the clamping of clamping block and socket design, the accurate butt joint of combination positioning frame, has guaranteed that battery module is closely combined with shearing pliers main body in the use process.

The invention provides a library construction method for single gene hereditary disease related gene detection, a nucleic acid product and a kit. Comprising at least one of a long-chain PCR primer for amplifying an ATP7B gene, a long-chain PCR primer for amplifying a G6PD gene, a long-chain PCR primer for amplifying an HBB gene, a long-chain PCR primer for amplifying a PAH gene, a long-chain PCR primer for amplifying an MMACHC gene, a long-chain PCR primer for amplifying an SLC26A4 gene and a long-chain PCR primer for amplifying a GJB2 gene. The nucleic acid product for detecting the related gene mutation of the single gene hereditary disease can be more specifically, sensitively and accurately combined with target nucleic acid sequences of ATP7B, G6PD, HBB, PAH, MMACHC, SLC26A4 and GJB2 genes, and the problem of high GC / AT region enrichment is better solved.

The invention discloses a preparation method of white carbon black for a rubber base plate of a high-speed railway fastener system, and belongs to the field of preparation methods of white carbon black, the white carbon black comprises the following raw materials: sodium silicate, sulfuric acid, a nonionic active agent and a silane coupling agent, and the white carbon black is prepared by improving a manufacturing process and setting a specific temperature and a preparation mode. The nonionic active agent and the silane coupling agent can better form specific cooperation, steric hindrance among white carbon black particles is increased, chemical bonding of the white carbon black and the silane coupling agent is enhanced, the reaction efficiency is accelerated, and the reaction environment and stability are optimized, so that agglomeration of the white carbon black particles is prevented, the dispersion effect of the white carbon black in rubber is improved, and the service life of the rubber is prolonged. By setting a two-stage mixing flow rate, uniform primary particles are rapidly formed, gel is reduced, the good state of a reaction system is kept, the particles uniformly grow into balls, the action between the particles and a rubber matrix is enhanced, and the rubber cushion plate is more economical and environment-friendly.

This invention provides a method for screening highly specific nucleic acid aptamers and specific *Lactobacillus helveticus* aptamers, belonging to the field of nucleic acid aptamers. Specifically, the method for screening highly specific nucleic acid aptamers provided by this invention includes the following steps: S1: A second library is obtained after N rounds of forward screening of a first library; S2: A third library is obtained after M rounds of reverse screening of the second library; S3: The third library is obtained after X rounds of forward screening of the third library to obtain selected random single-stranded oligonucleotides, which are then subjected to PCR amplification, purification, cloning, and sequencing; S4: The sequences cloned and sequenced in step S3 are used for affinity and specificity assays to select sequences with high affinity and specificity, thereby obtaining highly specific nucleic acid aptamers. The aptamers provided by this invention have the advantages of high specificity and strong affinity, and the construction method of the aptamers provided by this invention has the advantage of short screening time.

The invention discloses a pyrazolecarboxamide-containing fluoromethyl thiobenzoate compound, a target product is obtained by combining a pyrazolecarboxamide skeleton with an active fluoromethyl thio group, and the bactericidal activity of the pyrazolecarboxamide-containing fluoromethyl thiobenzoate compound is evaluated, so that an efficient novel candidate compound is expected to be provided for the creation of a novel bactericide. The invention also discloses a preparation method of the pyrazolecarboxamide-containing fluoromethyl benzoate thioester compound, the synthesis route is simple, and the pyrazolecarboxamide-containing fluoromethyl benzoate thioester compound is easy to prepare on a large scale.

The invention relates to the technical field of textile, and provides a production method of a concave-convex bubble cut pile printing towel and the towel, and the production method comprises the following steps: S1, weaving a blank towel; s2, cutting pile for the first time; s3, pretreatment of the blank towel; s4, pile cutting for the second time; s5, pattern design is carried out, the width of a concave-convex pattern is not smaller than 0.5 cm, the overall area of the concave-convex pattern does not exceed 60% of the overall pattern area, and the concave-convex pattern is a flat coating pattern with 100% of pixel points; s6, size mixing is conducted, specifically, size for the concave-convex pattern comprises concave-convex bubble size, a softening agent and refined oil, and the mass ratio of the concave-convex bubble size to the softening agent to the refined oil is 100: (3-10): (5-8); s7, plate making is conducted according to the pattern design, and a concave-convex plate pattern and a printing plate pattern are printed in sequence; s8, drying is conducted; and S9, ageing, washing and sewing. According to the technical scheme, on the basis of combining rich colors and diversified pattern elements of the printed towel, the concave-convex stereoscopic impression of a jacquard pattern can be simulated, and the appearance effect of combining jacquard and printing can be presented without adopting an embossing mold for pressing.

The invention discloses a code completion method, electronic equipment, a storage medium and a program product, and relates to the field of artificial intelligence, and the method comprises the steps: obtaining a target coding environment, target coding context semantic information and coding information of a target code; inputting the context semantic information of the target code and the coding information of the target code into a pre-constructed vector database to obtain enhanced semantic information and enhanced coding information; inputting the target coding environment, the enhanced semantic information and the enhanced coding information into a pre-trained completion model to obtain a plurality of completion codes output by the completion model and a correlation value corresponding to each completion code; and determining a target completion code according to the plurality of completion codes and the correlation value corresponding to each completion code, and determining a code completion result according to the target completion code. According to the method, code completion can be more accurately combined with the current development platform, and the applicability and accuracy of code completion are improved.

The invention discloses a polyether type super wear-resistant halogen-free flame-retardant TPU composite material and a preparation method thereof, which belongs to the technical field of polyether type TPU plastic processing, and comprises the following raw materials by weight: 90-110 parts of polyether type thermoplastic polyurethane elastomer, 10-15 parts of composite flame-retardant filler, 10-12 parts of composite wear-resistant aggregate, 1-2 parts of compatibilizer, 0.1-0.5 parts of ultraviolet absorber, and 0.2-0.6 parts of antioxidant. A rough surface is formed on the surface of hydroxylated calcium sulfate whisker, the contact area between the composite flame-retardant filler and the polyether type TPU composite material is increased, and the composite flame-retardant filler and the polyether type TPU composite material are mechanically interlocked, so as to improve the bonding force between the composite flame-retardant filler and the polyether type TPU composite material; a modified phytic acid-vanillin complex is adsorbed into the pores of Co-Mn-O nanomaterials in the modified calcium sulfate whisker, and an organic-inorganic flame-retardant material is formed with the modified calcium sulfate whisker to improve the flame retardant performance.

This utility model discloses a reinforced molded corrugated bottom cable tray, including a bracket and a cover plate fixedly connected. The inner surface of the bottom of the bracket is provided with corrugated protrusions, and a partition plate overlaps the top of the corrugated protrusions. A mounting plate is fixedly connected to the bottom of the partition plate, and the mounting plate is detachably connected to the inner surface of the bottom of the bracket via a fixing rod. In this application, an appropriate number of partitions are selected, and the partitions are installed in appropriate positions according to wiring requirements. The mounting plate is engaged with the slot to avoid protrusions. The fixing rod passes through the mounting plate and screws into the corresponding screw hole to fix the mounting plate to the partition. The cover plate is then fixed to the bracket, and the connecting sleeve at the corresponding position engages with the top of the corresponding partition. By using the adjustable horizontal position of the partition, the internal space of the bracket is divided and utilized, improving the flexibility of space utilization. Furthermore, the partition installed between the cover plate and the bracket can increase the overall structural strength of the cable tray.

Embodiments of the present application disclose a keyword detection system training evaluation method, an electronic device and a storage medium, wherein the method comprises: collecting a fixed keyword data set and an arbitrary keyword data set, and data enhancement in a noise environment; constructing a multi-head frame asynchronous keyword detection model based on a CTC-Transducer joint training framework; in the training process, using a multi-task learning strategy, combining CTC loss and Transducer loss to optimize the performance of the multi-head frame asynchronous keyword detection model; adopting a multi-head frame asynchronous decoding strategy to fuse the decoding results of CTC and Transducer; evaluating on the fixed keyword data set and the arbitrary keyword data set, and analyzing the performance of different fusion strategies and decoding methods in a noise environment to verify the effectiveness and robustness of the multi-head frame asynchronous keyword detection model in different scenarios.

The invention provides reusable glass frosting as well as a preparation method and application thereof, and relates to the technical field of glass frosting, the reusable glass frosting comprises the following components in parts by mass: 20-40 parts of fluoride salt, 5-10 parts of inorganic salt, 5-10 parts of solid particles, 40-50 parts of inorganic acid and 10-30 parts of water; the reusable glass frosting liquid is subjected to precipitation treatment after a glass frosting process to obtain a frosting liquid precipitate, the frosting liquid precipitate is used as one of components for preparing the regenerated glass frosting liquid, and the regenerated glass frosting liquid comprises the following components in parts by mass: 2-10 parts of the frosting liquid precipitate, 20-30 parts of fluoride salt, 5-10 parts of inorganic salt and 5-10 parts of solid particles, 30-40 parts of inorganic acid, 2-5 parts of complexing agent and 10-20 parts of water. According to the method, the waste glass frosting liquid is effectively treated, the supernate is converted into the pickling solution, and the precipitate is compounded and reused, so that the total discharge amount and discharge times of the waste liquid are greatly reduced, the recycling of resources is effectively promoted, and the win-win situation of economic benefit and environmental protection is realized.

This invention discloses an anti-Dabie Banda virus Gn protein nanobody, a bispecific antibody, and their applications, belonging to the field of biodetection technology. This invention constructs an alpaca natural nanobody library, using recombinantly expressed Gn protein as the antigen. Through multiple rounds of gradient screening using phage display technology, three nanobodies—G15, G20, and G40—that specifically bind to the Dabie Banda virus Gn protein are obtained. All three antibodies exhibit excellent antigen-binding specificity and virus-neutralizing activity; among them, G40 shows the most prominent neutralizing effect. The bispecific antibody G40-C1q, constructed based on G40, combines Gn protein and human C1q protein, achieving a synergistic effect of antiviral activity and inhibition of inflammatory damage. It can be used for the development of drugs for the prevention and treatment of Dabie Banda virus infection and for high-specificity detection reagents, providing candidate antibody drugs for the treatment of fever with thrombocytopenia syndrome, and providing a reliable tool for virus-related research, disease diagnosis, and clinical translation.

The application discloses a kind of cyclic peptide radioactive tracer targeting tumor HER2, labeled precursor and application, it is related to the field of biological medicine.The labeled precursor is A-B-C structure, A is chelating agent, B is connecting arm, C is cyclic peptide compound, the amino acid sequence of cyclic peptide compound is as shown in SEQ ID NO:1, and its 1st cysteine and 10th cysteine form cyclization structure by disulfide bond;Cyclic peptide radioactive tracer includes nuclide and labeled precursor;The application also provides the application of labeled precursor or cyclic peptide radioactive tracer in preparing labeled diagnostic or therapeutic nuclide or HER2 high expression tumor diagnosis and treatment product.The radioactive tracer prepared in the application has good in-vivo stability, has high binding specificity with tumor HER2, has longer tumor retention time, and is simple to synthesize, and has important significance for promoting the clinical application of HER2 targeted polypeptide in nuclear medicine tumor diagnosis and treatment integration.

The invention relates to the technical field of photovoltaics, and discloses a passivation contact solar cell and a preparation method thereof. The preparation method comprises the following steps: providing a substrate layer with a first surface and a second surface which are opposite; forming an oxide layer on the first surface of the substrate layer; performing laser sintering treatment on the surface of the oxide layer; forming a first doping layer on the oxide layer after laser sintering treatment; forming a second doping layer on the second surface of the substrate layer; and forming a first electrode connected with the first doping layer on one side of the first surface of the substrate layer, and forming a second electrode connected with the second doping layer on one side of the second surface of the substrate layer. According to the invention, the laser sintering treatment is carried out on the oxide layer to realize accurate optimization of the surface of the oxide layer and improve the surface and interface characteristics, so that the surface recombination rate of the oxide layer and the substrate layer and the first doping layer is reduced, the service life of a carrier is prolonged, the photoelectric conversion efficiency and stability of the cell are improved, and the power generation efficiency is improved.

The utility model discloses a self-locking switch for a roller shutter screen window. The self-locking switch comprises a locking block arranged on a roller shutter screen window handle and a stop block arranged on a rail assembly. When the handle moves in the extending direction of the screen window body, the locking block can be driven to be connected with the stop block so as to balance the rolling force of the coil spring on the screen window body, and therefore the screen window body is in a locked state. When the screen window body is in the locking state and the handle continues to move in the stretching direction of the screen window body, the locking block can be driven to be separated from the stop block, and the screen window body can be rolled under pulling of the coil spring. After the self-locking switch is assembled, locking and unlocking of the screen window body can be achieved by pulling the handle in the stretching direction of the screen window body.

The invention relates to an air compressor volute impeller gap detection structure, which comprises a bottom plate, a speed chain, a support, an X-axis module, a Z-axis module, a 3D laser line scanner, a side plate, a connecting plate, an upper end plate and a tray jacking mechanism, and is characterized in that the speed chain is fixed at the upper end of the bottom plate through the connecting plate, the speed chain conveys a tray, the support is fixed on the bottom plate, the X-axis module is fixed on the support through the upper end plate, and the Z-axis module is fixed on the tray jacking mechanism through the side plate. The connecting plate is installed on the X-axis module and connected with the Z-axis module, and the 3D laser line scanner is fixed to the connecting plate through the side plate. According to the air compressor volute impeller gap detection structure, 3D laser line scanning is adopted, the measurement precision is more accurate, position correction and servo control pressing and jacking are supported, the pressure sensor is combined, the detection structure is more accurate, and product parts are prevented from being damaged. The device can detect the clearance between the volute and the impeller and the axial movement size of the rotor in a compatible manner, is simple to operate and high in efficiency, and has a wide application range.

The invention discloses an image detection method and device, an electronic device and a storage medium. The method comprises the steps of obtaining a to-be-detected image; inputting the to-be-detected image into the normal detection model to obtain a first confidence coefficient for the to-be-detected object; inputting the to-be-detected image into the defect detection model to obtain a second confidence coefficient for the to-be-detected object; and based on the first confidence coefficient and the second confidence coefficient, obtaining a detection result about whether the to-be-detected object in the to-be-detected image is abnormal or not. Due to the introduction of a normal detection model, the method has a better detection capability for unseen defects, and reduces missing detection.

The high-precision hardware stamping die spotting machine comprises a portal frame and a lower workbench, first limiting assemblies for limiting the lower workbench are arranged on the two sides of the lower workbench respectively, and a second limiting assembly is arranged on the rear side of the lower workbench; a lifting guide rail assembly is arranged in the portal frame, a lifting sliding table is arranged on the lifting guide rail assembly, an upper workbench is arranged on the lifting sliding table, and the upper workbench is connected with the lifting sliding table through a rotating hinge; the top face of the portal frame is provided with a first driving piece for driving the lifting sliding table to reciprocate along the lifting guide rail assembly. According to the utility model, the upper die and the lower die have the advantages of high die assembly precision, good die assembly effect and high die assembly efficiency; the problems that a lower workbench of a die closing machine in the current market is prone to displacement during conveying, and positioning deviation frequently occurs in the process that an upper workbench descends along a lifting guide rail and a die is turned over, so that the die closing precision of the upper workbench and the lower workbench is low, the upper die and lower die testing precision is low, and the upper die and lower die testing efficiency is low are effectively solved.

The invention discloses a power transformer winding state diagnosis method and device, and relates to the technical field of transformer winding insulation state diagnosis. The method comprises the following steps: acquiring a transient signal and a steady-state signal of a power transformer winding, performing dimension conversion on the transient signal and extracting a feature parameter to obtain an energy feature vector, and performing image conversion on the steady-state signal and extracting a feature parameter to obtain an image feature vector; therefore, the state of the power transformer winding is diagnosed by combining the transient signal and the steady-state signal. An energy feature vector and an image feature vector are obtained by extracting feature parameters of a transient signal and a steady-state signal respectively, and features about the state of the transformer winding in the transient signal and the steady-state signal are mined in the form of the feature vectors, so that the state of the power transformer winding can be represented more accurately; the combination of the transient signal and the steady signal is realized in the form of the feature vector, so that the accuracy of the state diagnosis of the power transformer winding is improved.

The present invention relates to the field of semiconductors, and in particular to a heat dissipation structure, a preparation method thereof, and an IGBT module. The preparation method of the heat dissipation structure provided in the present application comprises: obtaining a heat sink to be combined based on a blind groove opened on one side of the heat sink in the thickness direction; stacking and bonding a metal sheet and a ceramic substrate and firing them to metalize the ceramic substrate; patterning the surface of the metal layer in the thickness direction so that the ceramic layer has an exposed surface in the thickness direction, and the metal layer on the exposed surface forms a metal boss that can match the blind groove; installing the metal boss on the substrate to be combined in the blind groove of the heat sink to be combined, and bonding the exposed surface to the surface of the heat sink to be combined to form a combination, and sintering and curing the combination to obtain a heat dissipation structure. The heat dissipation structure prepared by the preparation method of the present application can effectively reduce the number of thermal resistance interface layers, improve the heat dissipation efficiency of the IGBT chip, and significantly reduce the production cost and process complexity.

The application discloses a kind of micropore pre-reaction and pesticide residue detection equipment of immunochromatography, belong to pesticide detection technical field, including shell and for raw material processing processing mechanism, shell is provided with for the pesticide residue of raw material detection detection mechanism and for the replacement of detected liquid replacement mechanism;The application is by integrating units such as broken jar, reference liquid jar, liquid pump and feeding pump in shell, constructs the automatic sample pretreatment system, when detecting, fruit and vegetable samples are broken in broken jar, equipment is pumped into special reference liquid by pH7.2-7.6 phosphate buffer solution, Tween-20, NaCl and gelatin, the reference liquid not only can efficiently extract nicotinamide pesticide in fruit and vegetable, more importantly, its mild component can effectively eliminate the interference of fruit and vegetable matrix to subsequent immune response, while protecting the biological activity of colloidal gold labeled antibody, lay foundation for subsequent high specificity binding, improve the accuracy and reliability of detection.

This invention relates to a gene editing system and its application for intervening in neuronal cerebrospinal fluid deposition disease (INCL). The gene editing system includes a vector and a SpRY-ABE8e base editor coding sequence and an sgRNA-1 coding sequence carried by the vector. The sgRNA-1 targets the pathogenic c.451C>T mutation site region of the PPT1 gene, and its coding sequence is shown in SEQ ID NO:1. The gene editing system of this invention, through the combination of highly specific sgRNA-1 and a specific gene editor, achieves high recognition accuracy and avoids double-strand breaks during editing, thus reducing the possibility of bystander mutations. This addresses the technical problem in existing gene editing systems used for INCL intervention, which struggle to effectively target and repair the PPT1 gene c.451C>T nonsense mutation site, posing significant safety risks.

The present application relates to a method for identifying conversation intentions, a composite conversation system and a storage medium. The method comprises the following steps: in response to the conversation content input by a user, retrieving a target intention example based on a vector database; using LLM to predict the intention based on the target intention example to obtain an intention label; mapping the intention label to the intention in a predefined domain to determine the matching target intention; wherein the predefined domain includes the intentions of multiple business scenarios; guiding to the corresponding conversation scenario node based on the target intention; executing a preset task according to the conversation scenario node, and outputting the execution result of the preset task; and improving the efficiency and accuracy of conversation intention recognition.

The invention relates to the field of data processing, in particular to a multi-time-series monitoring data anomaly detection method and system. A multi-time-series monitoring data anomaly detection system comprises a monitoring data set acquisition module, a monitoring data value change section division module, a trust data set establishment module, a monitoring data matching model establishment module and an abnormal value detection module. According to the method, the plurality of sensors are arranged, the monitoring data with the consistent change trend in the different monitoring data sets of the multi-time series are regarded as normal data, and the matching model is established based on the normal data of the fragments to identify the abnormal values in the monitoring data sets, so that the characteristics of the multi-time series data can be more accurately combined; and the identification accuracy is high.