149 results about "Sensor materials" patented technology

The invention provides a multi-source data fusion intelligent control method for logarithmic curved surface machining, and relates to the technical field of data processing, and the method comprises the steps: 1, in a product machining process, through a geometric morphology detection sensor, a material characteristic perception sensor and a cutting state monitoring sensor, a cutting state is detected; obtaining multi-dimensional data reflecting the geometric morphology, the material characteristics and the cutting state of the curved surface, and forming a multi-source information stream; 2, carrying out real-time fusion on the multi-source information flow, and generating a comprehensive state description through space-time alignment and association of sensor data; the method comprises the following steps: converting data reflecting the geometric morphology of a curved surface into a point cloud set, identifying a feature point of a curvature mutation region as an original reference point, constructing two space reference straight lines, and calculating a space included angle between the two space reference straight lines to obtain an included angle region; through multi-source data fusion and intelligent control, the precision, efficiency and stability for logarithmic curved surface machining are improved, and the machining cost and the error rate are reduced.

The invention belongs to the technical field of preparation of sensor materials, and particularly relates to a room-temperature formaldehyde sensor material based on a catalytic principle as well as preparation and application of the room-temperature formaldehyde sensor material. The polyphenol is adsorbed on the surface of the semiconductor metal oxide through chelation, then noble metal ions are introduced, and the polyphenol on the surface of the semiconductor metal oxide can capture the noble metal ions and reduce and stabilize the noble metal ions on the surface of the semiconductor metal oxide; the noble metal nanoparticles are anchored on the surfaces of the semiconductor metal oxide nanoparticles, the original morphology of the semiconductor metal oxide is maintained, and the noble metal nanoparticles are loaded on the surfaces of the semiconductor metal oxide nanoparticles. The nano composite material not only has the intrinsic electrical and thermodynamic properties of semiconductor metal oxide, but also combines the catalytic characteristics of noble metal nanoparticles, so that the lower detection limit of formaldehyde is reduced to 3ppb, and the sensitivity of the sensor is remarkably improved. The preparation method of the room-temperature formaldehyde sensing material is simple and suitable for large-scale production, the raw materials are simple and easy to obtain, the cost is low, and the materials are environment-friendly.

The present invention discloses a flexible pressure sensor, whose structure sequentially includes: a first electrode layer, a first compressible resistance layer, a flexible conductive polymer layer, a second compressible resistance layer, and a second electrode layer. The first electrode layer and the second electrode layer are conductive fabrics and are connected to an external measurement circuit. The first compressible resistance layer and the second compressible resistance layer are conductive materials with a plurality of equally spaced protrusions, and the conductive materials are flexible and compressible. The resistance value of the flexible conductive polymer layer is constant. This solution constructs a special pressure sensor structure by using flexible materials, enabling the sensor to be applicable to pressure detection in any flexible environment. At the same time, the sensor material is lightweight, highly sensitive, and low in manufacturing cost, and can be widely applied in the fields of wearable devices, medical rehabilitation, automotive safety monitoring, etc.

The invention discloses a mechanical force-induced fluorescence discoloration sensor material as well as a preparation method and application thereof, and relates to the technical field of organic synthesis and fine chemical engineering. The preparation method comprises the following steps: step 1, carrying out heating reaction on 4-(1, 2, 2-triphenyl vinyl) benzaldehyde, 3-(2, 2-dicyano-1-(3, 4-diaminophenyl) vinyl) benzene-1-yl and a catalyst to prepare a compound 1-1; and 2, carrying out heating reaction on the obtained compound 1-1 and methyl iodide under the action of alkali and a solvent, and analyzing and purifying to obtain a compound 1-2. The compound disclosed by the invention is low in preparation cost, simple and convenient to operate and simple in method, the compound shows the material characteristic of mechanical force-induced fluorescence discoloration and can be applied to the fields of sensors, dyes, anti-counterfeiting and the like, and meanwhile, the synthesis method can be used for synthesis in the fields of fine organic chemical engineering such as luminescent materials, printing and dyeing technologies and the like.

A sensor comprising one or more metal oxides as sensor material is used to detect pathogen-derived VOCs, such as those released from an infected wound. The metal oxides can comprise one or more metal elements selected from aluminum, antimony, bismuth, boron, cerium, chromium, cobalt, copper, gold, indium, iridium, iron, lanthanum, lead, manganese, molybdenum, nickel, niobium, osmium, palladium, platinum, rhodium, ruthenium, selenium, silicon, silver, tantalum, tellurium, terbium, tin, titanium, tungsten, vanadium, ytterbium, yttrium, zinc, and zirconium. The sensor device can have one or more sensors that detect and record various VOCs indicative of the presence of pathogens, which are associated with mortality and / or infection.

The invention discloses preparation of a Tm-Cu-In < 2 > O < 3 > composite material, a gas sensor based on the Tm-Cu-In < 2 > O < 3 > composite material, a preparation method and application, and belongs to the technical field of gas sensor materials. Thulium chloride, copper sulfate, indium salt and an organic solvent are used as raw materials, In2O3 is doped with double metal elements Cu and Tm, a composite gas sensitive material is prepared, and a gas sensor based on the composite gas sensitive material is obtained. Compared with other In2O3-based H2S sensors, the gas sensor prepared by the invention has high sensitivity, high selectivity and good stability to H2S, and still has relatively high response in a high-humidity H2S environment, so that the gas sensor has excellent gas sensitivity to H2S gas in the environment. The sensor is simple in production process, low in energy consumption in the production process, low in cost and suitable for industrial batch production.

The invention relates to a screening method and device of a lithium battery thermal runaway escape gas sensor. The method comprises the following steps: acquiring response recovery data obtained by performing a gas sensitive experiment on a plurality of sensors to be evaluated; according to the response recovery data, calculating to obtain a performance index; based on each performance index, executing a plurality of evaluation algorithms on each to-be-evaluated sensor to obtain a plurality of evaluation scores; performing fusion processing on the plurality of evaluation scores of each to-be-evaluated sensor to obtain a comprehensive evaluation score of each to-be-evaluated sensor; and selecting the to-be-evaluated sensor meeting a preset condition as a target sensor according to each comprehensive evaluation score. According to the method, multiple evaluation algorithms are adopted to evaluate a large number of sensor samples, and complex performance data are converted into visual quantitative scores, so that rapid comparison and screening among different types and batches of sensors are facilitated, and a sensor material or product with optimal performance can be found more accurately.

The invention belongs to the technical field of preparation of gas sensor materials, and particularly relates to a method for preparing a room-temperature MXene-based ethanol sensor material by using supercritical carbon dioxide. The method comprises the following steps: firstly, carrying out hydrothermal reaction on titanium dioxide powder to obtain titanium nanotubes (TNTs); then carrying out high-temperature calcination on the TNTs; and then the calcined titanium nanotube and MXene are stirred to react under the supercritical COC condition, and finally MXene composite material powder is obtained. The material shows excellent response performance to ethanol gas at room temperature, including short response and recovery time (lt: 5 seconds) and resistance change rate as high as 42%. According to the invention, the electrical conductivity of MXene and the gas sensitivity of TiOnanotubes are fully exerted, the supercritical treatment means is combined, the preparation process is simple, convenient, green and environment-friendly, and the method has a good industrial application prospect and is especially suitable for the field of VOCs gas sensors which are low in power consumption and operate at room temperature.

The present invention relates to a method for crystallization of a metal oxide thin film by using thermal dissipation annealing (TDA) and exhibits an effect enabling high-temperature thermal annealing, which is essential for the performance improvement of a semiconductor material, a sensor material, and the like deposited on a thin-plate substrate, even without degrading the performance of the thin-plate substrate. In addition, a metal oxide thin film prepared by the method of the present invention is in the form of a two-dimensional nanosheet, and thus may have a low defect density (high crystallinity) and a wide surface area. Accordingly, based on the improved photosensitivity and photoreactivity, the metal oxide thin film may be utilized in a high-performance photoelectric device.

The invention discloses an alginate-based high-entropy metal oxide as well as a preparation method and application thereof, and belongs to the technical field of gas sensor materials. The preparation method comprises the following steps: mixing a high-entropy metal salt solution of at least five metal sources with an alginate solution to prepare alginate-based high-entropy metal aerogel, and then wrapping the alginate-based high-entropy metal aerogel with carbon cloth and rapidly heating the alginate-based high-entropy metal aerogel by using a Joule thermal method to obtain the nanosheet-shaped alginate-based high-entropy metal oxide. The material can be used for high-sensitivity detection of ethanol gas. The preparation method provided by the invention is green, simple and rapid, has a good sensing response effect in ethanol gas detection, and the sensing material has good stability, can be recycled for multiple times, and has a good application prospect.

The invention belongs to the technical field of sensor materials and malathion detection, and relates to a nano-silver modified covalent organic framework composite material, a preparation method and application thereof, and an electrochemical aptamer sensor. The preparation method comprises the following steps: S1, dissolving 1, 3, 5-tri (4-aminophenyl) benzene and 2, 5-divinyl-1, 4-phthalaldehyde in acetonitrile, adding a catalyst to carry out condensation reaction, standing, separating, washing and drying to obtain a covalent organic framework material; s2, dispersing the covalent organic framework material and silver nitrate in water, adding sodium citrate after ultrasonic dispersion, and washing and drying to obtain the nano-silver modified covalent organic framework composite material. The nano-silver modified covalent organic framework composite material prepared by the invention shows excellent crystallinity, extremely high porosity and good conductivity, and realizes high-sensitivity, rapid and accurate quantitative analysis of malathion in traditional Chinese medicinal materials.

The invention discloses a preparation method of an alpha-Fe2O3 / SnO2 nanoneedle heterojunction gas sensitive material, and belongs to the technical field of preparation and application of inorganic composite materials. Adding a mixed solution of ferric chloride and sodium sulfate and the ceramic tube into a reaction kettle, carrying out hydrothermal reaction at 120-160 DEG C for 10-14 hours, taking out the ceramic tube after the reaction is finished, drying and annealing to obtain a ceramic tube loaded with alpha-Fe2O3 nanoneedles; dissolving tin chloride and urea in water to obtain a mixed solution, adding the mixed solution and the ceramic tube loaded with the alpha-Fe2O3 nanoneedle into a reaction kettle, carrying out hydrothermal reaction at 80-100 DEG C for 1-6 hours, taking out the ceramic tube after the reaction is finished, drying and annealing to obtain the alpha-Fe2O3 / SnO2 nanoneedle composite gas-sensitive material. The preparation method is simple, the product is high in crystallinity and good in stability and is suitable for preparing a high-economical gas sensitive sensor material, and a sensor prepared from the alpha-Fe2O3 / SnO2 nanoneedle heterojunction gas sensitive material can effectively improve the gas sensitive performance of alpha-Fe2O3 and shows an extremely high response value to NO2 while the working temperature is reduced.

The invention provides a method for optimizing a detection sensing material for trace characteristic gas in transformer oil, and belongs to the technical field of detection of gas in transformer oil, and the method comprises the following steps: firstly, obtaining basic data of candidate materials, including material composition, atomic structure, electron energy band structure and theoretical gas sensing performance parameters; and establishing a sensing performance prediction model considering the material composition and structure, and training a material-performance correlation model by using a machine learning algorithm. A large number of theoretical material data sets are generated through computer traversal, and multi-dimensional clustering analysis is performed on candidate materials to obtain a clustering center. And carrying out laboratory performance testing by taking a clustering center corresponding material as a to-be-tested set, and collecting actual performance data. And carrying out multi-generation iterative optimization on the material with the optimal performance by adopting a genetic algorithm to finally obtain the transformer oil trace characteristic gas detection sensing material. The problem that an existing gas sensing material is difficult to meet harsh requirements of an electric power system on online detection of a transformer in the aspects of sensitivity, selectivity and stability is solved.

The invention relates to an adsorption and health state estimation method of a modified material in lithium ion battery thermal runaway gas, and belongs to the technical field of battery health management. The method comprises the following steps: S1, constructing a gas sensor material, namely an indium selenide (InSe) single layer, and constructing a CuO-InSe single layer through copper oxide (CuO) modification; s2, calculating adsorption energy, an energy band gap and transfer charges based on a density functional theory; s3, calculating the desorption time of the adsorption system at different temperatures according to the adsorption energy, wherein the desorption time is used for proving the potential of CuO-InSe as an adsorbent of CO, C2H2 and C2H4 and a sensor of CO2; a quantitative model for fitting the energy band gap and the adsorption energy with the CO partial pressure is established, the lithium ion battery health state estimation is realized based on the model, and a solid theoretical basis and a practical model are provided for predicting the failure stage of the lithium ion battery and designing an intelligent early warning system.

The invention relates to a receptor material and a preparation method thereof, and belongs to the technical field of receptor materials. The receptor material comprises the following chemical components in percentage by mass: 40-55% of Ni, 0.1-1.0% of Cu, 0-15% of Co, and less than or equal to 0.1% of C, Si, Mn, Cr, Mo, Al, P and S in total content. According to the embodiment of the invention, the Curie temperature, the resistivity and the saturation induction density of the material are accurately regulated and controlled by adjusting and optimizing the content of each element, and the performance requirements are met: the Curie temperature is 400-550 DEG C, the resistivity is 0.018 * 10 <-6 > omega.m to 0.25 * 10 <-6 > omega.m, and the saturation induction density is gt; and 1.4 T.

The invention discloses an ecological environment monitoring method based on big data. The method comprises the following steps: acquiring a water body in a to-be-monitored area; performing data acquisition on the water body starting nano composite material to obtain a large amount of original data; transmitting the large amount of original data to a big data center; the server of the big data center classifies the large amount of original data according to the format of transmission equipment number-collection time-collection spatial position and stores the data in a database; preprocessing the mass data in the database to obtain a standard data set in which multiple indexes are associated with time and space; and performing data analysis on the standard data set to obtain components of the water body sample. For water body monitoring, the response speed of a sensor material to pollutants such as heavy metal ions and pesticide residues is low, and the water quality change condition cannot be timely and accurately reflected, so that innovation and breakthrough are performed from the aspects of physical and chemical materials to construct a more perfect ecological environment monitoring system.

The present invention discloses a H2 sensor material based on SnO2-doped graphene aerogel and a preparation method. The material comprises mixing graphene oxide with N,N-dimethylformamide and water to form a mixed solution, adding the mixed solution to a tin salt solution, performing a solvothermal heat treatment, and then calcining the solution in a muffle furnace. The present invention dopes the graphene aerogel with SnO2 nanoparticles. The graphene aerogel structure modifies the operating characteristics of the tin dioxide material, resulting in a sensor material with high gas sensitivity, good selectivity, and stability. This reduces the sensor's operating temperature and device power consumption, resulting in ultrahigh sensitivity, anti-interference performance, and good resistance to electrolyte corrosion. The material has broad application prospects in the future field of thermal runaway early warning technology for lithium-ion batteries.

This application discloses an embedded whole-cell biosensor, its fabrication method, and its application in machine learning-assisted mercury ion detection, belonging to the field of sensor materials and detection technology. This sensor encapsulates *E. coli* expressing green fluorescent protein (GFP) in a polyacrylamide / hyaluronic acid (PAAM / HA) hydrogel matrix, enabling highly selective and sensitive detection of mercury ions. It effectively eliminates interference from competing metal ions and can be completely regenerated through EDTA-2Na treatment, allowing for repeated use without performance loss. It maintains a stable fluorescence response for up to three weeks, possesses excellent biocompatibility and biodegradability, minimizing the risk of secondary contamination, and facilitates rapid on-site analysis.

In an embodiment a method includes providing a substrate with an electrical functional layer comprising a plurality of functional regions, wherein the functional regions are electrically addressable independently from each other, wherein the plurality of functional regions comprises at least a first group of functional regions and a second group of functional regions, wherein the first group is different from the second group, and wherein at least one functional region is part of the first group and of the second group and performing a multiple-mask process by applying a first mask on the electrical functional layer, wherein the first mask exposes the functional regions of the first group and covers all other functional regions, applying a first sensor material over the exposed functional regions by sputtering, removing the first mask, applying a second mask on the electrical functional layer, wherein the second mask exposes the functional regions of the second group and covers all other functional regions, applying a second sensor material over the exposed functional regions by sputtering and / or performing a functionalizing treatment in the exposed functional regions and removing the second mask.

The present invention discloses a drilling device for directional branch drilling, which relates to the field of geological drilling and includes a spliced ​​pipe, wherein a first connecting portion is provided at one end of the spliced ​​pipe, and a second connecting portion is symmetrically provided at the other end of the spliced ​​pipe. Adjacent spliced ​​pipes are connected by a hinge assembly provided at the first connecting portion, and a limit torsion spring is provided at the hinge between the first connecting portion and the adjacent spliced ​​pipe. An electric bending assembly is also provided to cooperate with the connection between the two adjacent spliced ​​pipes. When adjacent spliced ​​pipes are connected, the first connecting portion cooperates with the second connecting portion and is connected through the hinge assembly, resulting in a secure connection. The electric bending assembly can cause the spliced ​​pipe to bend at the splicing portion and cause the limit torsion spring to bend, thereby facilitating the spliced ​​pipe equipped with sensor material to bend and enter the directional drilling hole, and facilitating the equipment to pass through the bend of the directional drilling hole. After the detection is completed, the electric bending assembly can be restored to its original state, and the limit torsion spring causes the device to reset, thereby reducing the failure rate of the equipment.

A tin-zinc oxide composite material sensor relates to the field of gas sensor technology, particularly a gas sensor material comprising a highly moisture-resistant gas-sensitive material and its preparation method. The preparation method includes the following steps: a. ultrasonic treatment; b. autoclave heating; c. obtaining zinc oxide nanoparticles; d. magnetic stirring; e. autoclave heating; f. obtaining a tin-zinc oxide composite material; g. cleaning and air drying; h. preparing a paste-like slurry; and i. low-temperature drying to complete the fabrication of a planar gas sensor. The gas sensor provided by the present invention offers high accuracy and simple operation. The inclusion of the highly moisture-resistant nano-gas-sensitive material helps address the low sensitivity of metal oxide semiconductor gas sensors in transformer oil and their susceptibility to moisture molecules in the air.

The application discloses a large-size high-precision torque sensor elastomer, which comprises C, Si, Mn, P, S, Cr, Ni, Mo and Fe. The preparation method comprises a vacuum arc furnace smelting process, a forging and post-forging normalizing and high-temperature tempering process, a rough machining process, a quenching and tempering heat treatment process, a cold treatment process and a finishing process, wherein the finishing process is performed according to the size requirement of the sensor elastomer parts, and a vibration aging stress relief process. The application removes residual stress and strengthens and stabilizes the sensor material structure through three aging processes of heat treatment aging, cold treatment aging and external field vibration aging. The elastomer prepared by the method combines good structure stability, a small thermal expansion coefficient and excellent comprehensive performance, can meet the use requirements of large-size high-precision torque sensor elastomers of different specifications, can work in different atmospheric environments, and can be used for mass production of elastomer materials.

The application provides a flexible SERS sensor for sweat marker detection and a preparation method and application thereof.The SERS sensor is a composite structure of a Janus nanofiber membrane and a gold nanoparticle film; the Janus nanofiber membrane is composed of a hydrophilic fiber layer and a hydrophobic fiber layer, and the gold nanoparticle film is closely attached to the surface of the hydrophilic layer of the Janus nanofiber membrane.The SERS sensor has a one-way microfluidic transmission performance, can effectively collect sweat in the hydrophilic layer, and can keep the hydrophobic layer almost dry, thereby enhancing the skin comfort.The preparation method and structure of the SERS sensor are simple, and the SERS sensor has the characteristics of lightness, thinness, softness, stretchability, wearability, high sensitivity, high selectivity, good stability and the like, so that the SERS sensor becomes an excellent SERS sensor material, can measure the pH level and the concentration of lactic acid, uric acid and the like in sweat, and provides real-time data support for health management and disease prevention.

The invention proposes an optical temperature sensor head, which comprises an optical fiber and a sensor material optically connected to the free end of the optical fiber. The free end of the optical fiber has an overmolding made of a plastic material, which engages on the free end of the optical fiber and forms a protection body. In the protection body a transparent window is arranged. The window permits an optical connection to the free end of the optical fiber. Luminescent radiation from the sensor material can enter into the optical fiber. The effect of the protection body is that the temperature sensor head is mechanically stable and insensitive to environmental influences. The invention also proposes a temperature sensor device having such a temperature sensor head. Finally, the invention proposes an electrical machine, which has a winding with winding wires, which are connected to the proposed temperature sensor head.

The application discloses a preparation method of hollow double-shell ZnSnO3 / SnO2 heterojunction sensor material and application of the material in selective detection of triethylamine, and belongs to the technical field of gas sensors. The preparation method of the hollow double-shell ZnSnO3 / SnO2 heterojunction sensor material comprises the following steps: ZnSn(OH)6 / SnO2.nH2O microsphere precursors are prepared by using a coprecipitation method; the ZnSn(OH)6 / SnO2.nH2O microsphere precursors are added into an organic solvent to perform a solvothermal reaction, and then are calcined to obtain the hollow double-shell ZnSnO3 / SnO2 heterojunction sensor material. The hollow double-shell ZnSnO3 / SnO2 heterojunction sensor material can be used for high-response detection of triethylamine at a low working temperature, has excellent selectivity and stability, and can be used for actual monitoring application of food freshness.

The invention relates to a method for induction heating of an aerosol-generating substrate by using a susceptor material, and belongs to the technical field of susceptor materials. The method comprises the following steps: obtaining a susceptor material with a set average particle size and set chemical components, wherein the set chemical components comprise Ni, Cu and Fe; wherein in percentage by mass, the content of Ni is 40%-55%, and the content of Cu is 0.1%-1.0%; and screening out a plurality of receptor materials with the same average particle size from the receptor materials, mixing the receptor materials with the aerosol generating matrix, and controlling the filling coefficient of the mixing, so that the plurality of receptor materials with the same average particle size perform induction heating on the aerosol generating matrix to obtain the aerosol generating product. Through the synergistic effect of the chemical components of the susceptor material and the heating process, the heating efficiency of the susceptor material for induction heating of the aerosol-generating substrate is greatly improved.

To provide a ligand compound which is used for detecting a content of heavy metal ions in water environment, and enables formation of rare earth metal ions and a rare earth supermolecular sensor material for achieving microanalysis of cadmium ions at a particularly low detection limit, and a preparation method, and to provide a rare earth supermolecular sensor material, a sensor thin film, a fluorescent probe and a preparation method, and use.SOLUTION: A ligand compound has a structure represented by formula (I).SELECTED DRAWING: Figure 5

This invention discloses a ruthenium-doped chromium phosphide material, its preparation method, and its applications, belonging to the field of sensor material application technology. The chemical formula of this material is Cr. 1‑x Ru x P, where 0.2

Salmon meat is prone to spoilage during transportation and storage due to its rich protein and fatty acid content. During the spoilage process, the released volatile organic compounds (VOCs) can vary greatly, mainly including trimethylamine (TMA), dimethylamine (DMA), formaldehyde (HCHO), and ammonia (NH3). In this study, an array of quartz crystal microbalance (QCM) gas sensors was established, which was modified with graphene oxide (GO), Mxenes (Ti3C2T X ), hydroxylated multi-walled carbon nanotubes (MWCNTs), and graphdiyne oxide (GO P ), respectively, to detect TMA, DMA, HCHO, and NH3 in salmon meat, respectively. The results showed that the four kinds of sensor materials modified QCM sensors had good sensitivity, selectivity and repeatability for the corresponding target gas. Finally, the freshness of salmon meat was detected using the sensor array. The sensor response data was visualized by principal component analysis (PCA), and the first two principal components (PCs) explained 98.8% of the total contribution variance. A further discriminant model was established using quadratic support vector machine (QSVM), and the classification result was 100%. To further describe, the detection results were compared with the total volatile base nitrogen (TVB-N) content to judge the freshness of salmon meat.