100 results about "Uv spectra" patented technology

The invention provides an online quality detection method of a nerve-soothing and brain-nourishing liquid based on multispectral fusion, and aims at solving the bottleneck problems of long offline time consumption, weak multi-index detection capability, poor dynamic adaptability and the like in the traditional detection technology, and realizing intelligent quality control of the whole process of the production technology. The device integrates an ultraviolet-visible spectrum module, a near-infrared spectrum module and a fluorescence spectrum module, constructs a multi-scale residual convolutional network to extract near-infrared spectrum characteristics, analyzes a fluorescence excitation-emission matrix through bidirectional LSTM, and cooperates with dynamic baseline correction of an ultraviolet spectrum, so that the icariin content detection precision is improved by 40% compared with that of a traditional HPLC method, the heavy metal residue detection lower limit reaches 0.05 ppm, and the detection accuracy is greatly improved. And an innovative solution is provided for intelligent production of traditional Chinese medicine preparations.

The invention discloses an intelligent safety monitoring method and system for a glass curtain wall, electronic equipment and a storage medium, and relates to the technical field of curtain wall detection. The method comprises the following steps: acquiring multi-source image data of an external facade of the glass curtain wall, wherein the multi-source image data comprises a front view image, an infrared thermal imaging image and an ultraviolet spectrum image of the glass curtain wall, which are acquired at different time periods and different angles; performing registration fusion and identification analysis on the multi-source image data to obtain crack characteristics, deformation characteristics and temperature distribution characteristics of the surface of the glass curtain wall; establishing an abnormal characteristic spectrum of the glass curtain wall based on the crack characteristics, the deformation characteristics and the temperature distribution characteristics; performing spatio-temporal evolution analysis on the abnormal characteristic spectrum to determine a multi-level risk area of the glass curtain wall; and generating a monitoring report of the glass curtain wall according to the multi-level risk area. By implementing the technical scheme provided by the invention, comprehensive monitoring of the glass curtain wall can be realized, so that the monitoring accuracy of the glass curtain wall is improved.

The invention relates to the technical field of anomaly detection, in particular to a pantograph arcing anomaly detection and early warning method based on fusion of ultraviolet light and infrared imaging, and the method comprises the steps: collecting an ultraviolet spectrum signal of a pantograph region in real time, and extracting arcing feature data; acquiring infrared temperature distribution images of the pantograph and the overhead line system, and extracting temperature abnormal region data; timestamp synchronization and space coordinate mapping are carried out on the arcing characteristic data and the temperature anomaly region data, and a fusion data set with time-space alignment is generated; on the basis of the fused data set, calculating the space-time similarity between the arcing feature data and the temperature anomaly region data, and outputting an arcing-temperature correlation index; constructing a Gaussian mixture model, and dynamically judging an abnormal level; and when the abnormal grade exceeds a preset threshold value, a grading early warning signal is triggered, and a fault positioning report including an arcing position and a temperature abnormal range is generated. The method has high engineering practicability, and has important significance for guaranteeing safe and stable operation of a rail transit power supply system.

The invention provides a pulse laser deposition process online monitoring device and method, and relates to the technical field of material preparation and process monitoring, the pulse laser deposition process online monitoring device comprises a growth cavity, a substrate supporting mechanism and a target material supporting mechanism which are arranged in the growth cavity, a pulse laser for ablating a target material, and a spectrum acquisition unit, the optical signal acquisition module is used for acquiring an optical signal radiated by plasma plume generated by ablating a target material by the pulse laser; and the spectrum analysis unit is connected with the spectrum acquisition unit and is used for receiving the light signals acquired by the spectrum acquisition unit and analyzing and processing the light signals so as to obtain the state information of the plasma plume. According to the online monitoring scheme, the extreme ultraviolet spectrum diagnosis technology and the pulse laser deposition process are deeply fused, so that the film growth process is accurately controlled, and the process is optimized.

The invention relates to a gas discharge detection method, system and equipment based on an ultraviolet spectrum and a medium. The method comprises the following steps: transmitting a frequency-modulated ultraviolet light beam to a gas chamber to be detected, synchronously collecting and processing a transmission light signal in a branching manner, and simultaneously obtaining a modulated spectrum signal for gas absorption analysis and a discrete photon pulse signal for detecting a discharge event; respectively processing the two paths of signals, and extracting sulfur dioxide concentration information and photon radiation characteristics; fusing the two types of features to construct a dynamic feature vector, and obtaining a discharge state grade by using a dynamic Bayesian network diagnosis model; and finally, combining the concentration and state information, and outputting the membership degree of the discharge duration through fuzzy logic. By adopting the method, the fast process and the slow process of partial discharge can be cooperatively monitored, and the early detection sensitivity and the diagnosis reliability are improved.

Methods and systems for configuring and rendering a fluorescent watermark may include modifying a non-partially reflective / absorptive UV ink from an original UV pattern by blending a minimum amount of partially reflective ink, and ensuring that the non-partially reflective / absorptive UV ink is rendered as part of a fluorescent watermark based on the non-partially reflective / absorptive UV ink. Modification of the non-partially reflecting / absorbing UV ink maintains the appearance of two or more pattern inks as a single color / pattern under office lighting. The fluorescent watermark may then be rendered on a substrate (e.g., paper or other material).

The invention discloses a miniature ultraviolet spectrometer, which comprises a light source assembly, a miniature collimating lens group, a triangular prism, a parallel glass plate, a cylindrical lens and an area array detector, the light output end of the light source assembly faces the incident plane of the miniature collimating lens set, and the emergent plane of the miniature collimating lens set faces the first face of the triangular prism. The emergent surface of the triangular prism is in close contact with the incident surface of the parallel glass plate; the emergent surface of the parallel glass plate faces the incident surface of the cylindrical lens, and is used for refracting light rays close to a total reflection critical angle to form a plurality of light beams; the emergent surface of the cylindrical lens faces the receiving end of the area array detector; and the area array detector processes the received interference fringes to obtain spectral information. According to the micro ultraviolet spectrograph provided by the embodiment of the invention, the light path structure of the spectrograph is simplified, the simplified structure can reduce the loss of light in the transmission process, and more light can reach the detector, so that the accuracy of spectral information is ensured.

The invention belongs to the technical field of measurement, and relates to an intelligent correction method for an ultraviolet spectrum signal of a seawater nitrate sensor. The method comprises the following steps: 1, calculating absorbance data of each sample at different temperatures; 2, preprocessing the absorbance data by adopting a self-adaptive wavelet denoising algorithm; 3, performing linear fitting on the preprocessed data within the wavelength range of 240-260nm to obtain a linear equation; the absorbance data obtained after baseline correction is determined as the absorbance of the bromide ions; 4, calculating the molar extinction coefficient of the bromide ions, and solving a linear relation between the natural logarithm of the molar extinction coefficient of the bromide ions and the temperature; 5, temperature correction is conducted on the molar extinction coefficient of the bromide ions; 6, salinity correction is conducted through the salinity credible factor, and finally the bromide ion absorbance subjected to temperature salinity correction is obtained. According to the method, the problems of bromine ion spectrum overlapping interference, random noise, baseline interference, temperature-salt interference and the like can be effectively solved.

The invention discloses a flue gas emission monitoring system which comprises the following steps: synchronously acquiring a mixed signal containing a blackness image, a particulate matter beta ray attenuation value and an SO2 / NOx ultraviolet spectrum on the central axis of the same section of a flue to realize simultaneous and same-domain acquisition of three types of pollutants; after analog-to-digital conversion, inputting into edge computing nodes, and completing real-time joint inversion of blackness, particulate matters and SO2 / NOx by a multi-task convolutional network; the tuning fork array in the sampling pipeline is used for obtaining on-way loss, and a final SO2 / NOx value is obtained through reverse recursive compensation; pixel-level cross-correlation conversion is carried out on the blackness and the particulate matter matrix, so that the blackness and SO2 / NOxx are normalized to the same metering chain; inputting a unified environment compensation model by combining wall temperature, illumination and vibration, and applying consistent dynamic gains to the two; and packaging according to a second level and writing through a block chain. According to the invention, the accuracy, reliability and supervision consistency of flue gas emission monitoring can be greatly improved.

The invention discloses an extreme ultraviolet spectrograph calibration method based on extreme ultraviolet diffraction, and relates to the technical field of spectrograph calibration, and the technical scheme is characterized in that a desktop type XUV light source generation device is used for generating XUV light beams; a diffraction device is arranged on the propagation path of the XUV light beam, so that the XUV light beam is diffracted; taking the FID spectral line of the helium atom 2p-1s as an energy reference point, and deducing part of unknown parameters of the diffraction device and the spectrometer according to the separation distance of + / -1 level diffraction beams measured at the position corresponding to the energy; in combination with a Gaussian fitting method, the positions of 0-level light beams and + / -1-level diffraction light beams at other positions on the detector are obtained, and according to a diffraction formula, energy corresponding to all positions on the XUV spectrometer is inverted; calibration precision is ensured by correcting copper mesh placement angle deviation and CCD image angle deviation. According to the invention, XUV light is diffracted by using the copper net, and global continuous calibration of the energy axis of the spectrometer is realized by combining with a characteristic spectral line with a known wavelength.

The utility model discloses a micro-arc oxidation device and a semiconductor film preparation system, and the micro-arc oxidation device comprises an electrolytic tank, a pulse power supply, a monitoring module and a controller. The electrolytic tank is provided with a stirrer and an ultrasonic generator, and a constant-temperature cooling module is mounted on the side wall of the electrolytic tank; the pulsed power supply is mounted on one side of the electrolytic tank; the cathode of the pulsed power supply is connected with the electrolytic tank; the monitoring module comprises a conductivity probe, a photometer probe, a conductivity meter and an ultraviolet spectrometer; the controller is electrically connected with the constant-temperature cooling module and the monitoring module. The change of solute in the electrolyte is monitored through the ultraviolet spectrograph and the conductivity meter, accurate control over the concentration of the electrolyte and the nano-particles in the electrolyte is achieved, reaction conditions and reaction parameters can be automatically detected and regulated, accurate regulation and doping of the nano-particles in the semiconductor film growth process are achieved, and the yield of the semiconductor film is improved. The operation is simple and convenient, the controllability is strong, and the yield is high.

The invention belongs to the technical field of pesticide detection, and relates to a method for distinguishing pyriproxyfen technical for pesticide application and hygienic application. According to the method, a pyriproxyfen raw medicine sample is analyzed through a high performance liquid chromatography-diode array detector (HPLC-DAD), and the purpose category of the sample is judged by utilizing isomer chromatography spectrum characteristics (ultraviolet spectrum characteristics). Specifically, the pyriproxyfen active compound for pesticide application only shows a single main peak in a chromatogram; a plurality of chromatographic peaks (main peaks and isomer peaks) can appear on the technical pyriproxyfen for sanitation under specific conditions, and the ultraviolet spectrograms of the peaks are consistent. According to the method, whether a pyriproxyfen isomer peak exists in a sample or not is detected, so that whether the active compound belongs to agricultural application or sanitary application is quickly identified. The method has the advantages of simplicity and convenience in operation, high specificity and high practical application value.

This invention discloses a method for preparing selenized Ophiopogon japonicus polysaccharide, its structural characterization, and its applications. The preparation method includes: dissolving Ophiopogon japonicus polysaccharide in dilute nitric acid, adding sodium selenite, reacting at 50–90°C for 4–12 hours, adjusting the pH to neutral, and obtaining selenized Ophiopogon japonicus polysaccharide after dialysis, concentration, and freeze-drying. Structural characterization was performed using ultraviolet spectroscopy, infrared spectroscopy, and scanning electron microscopy, showing that selenium was successfully linked to the polysaccharide molecule in the form of selenite ester. Multiple cell experiments showed that: CCK-8 assay results indicated that the polysaccharide had no significant toxicity to RAW264.7 cells in the concentration range of 25–100 μg / mL; Griess assay and ELISA results showed that the polysaccharide significantly inhibited LPS-induced release of NO, TNF-α, and IL-6 from macrophages in a concentration-dependent manner; GC-MS analysis of the metabolite lactate revealed its anti-inflammatory mechanism at the metabolic level. Animal experiments showed that the selenized Ophiopogon japonicus polysaccharide significantly reduced the inflammatory response in a mouse skin burn model and promoted wound healing. The process of this invention is simple and the conditions are mild. The selenized Ophiopogon japonicus polysaccharide prepared has good anti-inflammatory activity and can be used to prepare drugs for treating skin burns and inflammation.

The application discloses a method for preparing a low-loss deep ultraviolet optical thin film by ion beam sputtering, comprising the following steps: substrate super-clean pretreatment; ultra-high vacuum environment establishment; low-loss film system material selection; double ion beam collaborative sputtering deposition; interface and stress regulation; in-situ real-time monitoring and post-processing. The application overcomes the problem of high loss of existing deep ultraviolet ion beam sputtering coating, provides a systematic process method, effectively reduces impurity adsorption and structural defects in the film layer through main ion beam sputtering deposition and auxiliary ion beam in-situ bombardment cleaning interface, cooperates with interface gradient regulation and fine stress control process, can adapt to different substrate materials and film system structures, and can be applied in batch to the preparation of optical elements required by deep ultraviolet laser systems and deep ultraviolet spectral analysis instruments; realizes that the thin film absorption loss is less than 5ppm, the surface roughness Ra is less than 0.5nm, the interface defect density is significantly reduced, and the optical performance and stability of the deep ultraviolet element are improved.

The present application relates to the technical field of water quality detection, and discloses a water quality sampling and monitoring method and system for a smart water station based on ultraviolet spectra, including: dividing the area of the smart water station to obtain multiple water areas; performing water quality analysis based on the ultraviolet spectral data of the water samples at the central sampling points of each water area to obtain normal water areas and abnormal water areas; performing water quality analysis on the water samples at all sampling points within the abnormal water areas to obtain pollution source sampling points; by performing regional processing on the smart water station, the present application reduces the number of water samples collected and accelerates the water quality detection process; different water quality analysis methods are adopted in different water quality analysis stages to achieve dynamic adjustment of the analysis process, determine the sampling point closest to the pollution source, and facilitate the treatment of the water quality of the water station; the model parameters of the water quality detection model are optimized by using a multi-objective optimization method, effectively avoiding falling into local optimality when dealing with multi-output objective problems and improving the accuracy of water quality detection results.

The invention discloses a control method and device of a dish washing machine, electronic equipment and a storage medium, and relates to the technical field of intelligent kitchen ware. The method comprises the following steps: when to-be-cleaned tableware is pre-cleaned, controlling an ultraviolet spectrum detection unit to monitor a real-time value of the total organic carbon content in washing water; according to the real-time value of the total organic carbon content, the smudginess grade of the tableware to be cleaned is determined; determining washing modes of the dish-washing machine in a main washing stage and a rinsing stage according to the smudginess grade; wherein the washing modes at least comprise main washing parameters and rinsing parameters, and the main washing parameters and the rinsing parameters of different washing modes are different; the tableware to be cleaned is subjected to main washing according to the main washing parameters, and the tableware to be cleaned is rinsed according to the rinsing parameters. According to the scheme, the novel dish washing machine with the built-in ultraviolet spectrum detection unit is provided, automatic quantification of dirt is achieved through the ultraviolet spectrum detection unit, and the dish washing machine is suitable for different tableware dirt scenes; and the whole process from pre-washing to rinsing is automatic, so that the tableware cleaning efficiency is improved.

The invention discloses a plant polyphenol extraction detection method based on synchronization of liquid chromatography and tandem mass spectrometry, and relates to the technical field of analytical chemistry detection, and the method comprises the following steps: predicting a chromatographic elution window through an ultraviolet spectrum, calculating a dynamic synchronization index by fusing mass spectrum background noise data, and starting a synchronous extraction detection program according to the dynamic synchronization index. In the extraction process, the mass spectrum scanning frequency and the ion trap filling time are fed back and adjusted according to pressure and temperature data monitored in real time; and when a target chromatographic peak appears, triggering mass spectrum monitoring channel switching and recording fragment ion information. And finally, integrating the fragment ion abundance ratio and a chromatographic peak shape parameter to carry out result verification. According to the method, dynamic coordination of extraction, separation and detection links is realized, and the signal-to-noise ratio, the sensitivity and the method adaptability of polyphenol compound detection in a complex sample are improved.

The utility model relates to the technical field of ship tail gas distribution scanning equipment, in particular to a ship tail gas distribution ultraviolet spectrum scanner. According to the technical scheme, the ultraviolet spectrum scanner comprises an ultraviolet spectrum scanner body which is installed beside a ship chimney and directly faces exhausted tail gas to conduct 180-degree fan-shaped scanning, and further comprises a driving mechanism which is arranged at the top of the ultraviolet spectrum scanner body and conducts scanning on the tail gas all the time while rotating according to the wind direction. According to the utility model, the ultraviolet spectrum scanner can automatically rotate to scan the tail gas exhausted by the ship chimney in real time without depending on sensor equipment. The steps of installing and maintaining the wind direction sensor are omitted, and the complexity and the maintenance cost of equipment are reduced. Meanwhile, the power supply requirement of an additional sensor is omitted, the power supply management of equipment is simplified, the possibility of power supply faults in the equipment is further reduced, and the stability and long-term reliability of the scanner are improved.

A system for preparing heterobimetallic Cu(I) / Fe(II) hybrid complexes for catalyzing CC and CN coupling reactions, comprising: a reaction vessel configured to facilitate the reaction performed by the system, the reaction vessel comprising a magnetic stirrer connected to provide continuous stirring during the reaction; a ligand synthesis unit connected to the reaction vessel and allowing the production of the Fc-HC=NC 11 H 11 N2O ligands are prepared by reacting a solution of 4-aminoantipyrine in methanol with ferrocene. Add carboxaldehyde in methanol dropwise to the reaction vessel; a complexing unit connected to the reaction vessel and enabling the synthesis of heterobimetallic Cu(I) / Fe(II) hybrid complexes with the formula [Cu(Fc-HC=NC 11 H 11 N2O)(dppe)]X, where X is selected from the group consisting of NO3 -, ClO4 - , BF4 - and PF6 - consists; a post-processing module comprising a filter unit, a washing unit and a drying unit and configured to obtain the final product after the reaction, wherein the post-processing module is connected to the reaction vessel; a characterization unit configured to analyze the synthesized complexes by at least one of the following methods: elemental analysis, FTIR spectroscopy, 1 H-NMR spectroscopy, 31 P-NMR spectroscopy, UV spectroscopy, mass spectrometry, thermogravimetric analysis, scanning electron microscopy and X-ray powder diffraction; and a catalytic reaction unit configured to utilize the synthesized complexes to catalyze at least one of the Sonogashira-type CC coupling reactions and the Buchwald-type CN coupling reactions.

The present invention relates to the technical field of environmental and food pollution detection, and particularly relates to a method for constructing a dual-mode detection of neonicotinoid pesticide residues based on waste tobacco-based biomass carbon dots. In the present invention, waste tobacco by-products (such as leaves and stems) are used as raw materials to synthesize waste tobacco-based biomass carbon dots (CDs), which have the activities of oxidase-like (OD) and peroxidase-like (POD). On this basis, taking imidacloprid (IMI) as a neonicotinoid pesticide model, a highly efficient, low-cost, green and environmentally friendly detection of neonicotinoid pesticide residues in medicated and edible homologous samples such as wolfberry, honeysuckle, and notoginseng is established based on the dual enzyme-like activities of OD-like and POD-like of waste tobacco-based biomass carbon dots, driven by two detection modes: ultraviolet spectral absorbance and fluorescence spectral fluorescence intensity. The present invention combines the advantages of colorimetry and fluorimetry, with a dual-ratio built-in reference, effectively avoiding the false positive phenomenon caused by external signal interference, while also enhancing the sensitivity and specificity of the detection and avoiding the occurrence of false negatives.

The wire grid polarizers 10 and 30 described herein, and wire grid polarizers made by methods described herein, can have high performance across a broad range of the ultraviolet spectrum and across a broad angle of incidence. These polarizers can be durable (resistant to heat, moisture, ultraviolet light, and oxidation). The polarizer can include an array of wires 15 on a substrate 11. Each wire 15 can have a silicon core 12 and a pair of silicon dioxide ribs 13. The core 12 can be sandwiched between the pair of ribs 13, with each rib 13 adjacent to a sidewall 12s of the core 12. A rib width W13 can be ≥4 nm. Each wire 15 can also include a silicon dioxide cap 14. The core 12 can be encircled by a silicon dioxide ring 17.

The application discloses a method for analyzing chlorophyll a, chlorophyll b and beta-carotene in plant extract, comprising the following steps: S1, using an ultraviolet-visible spectrometer to measure visible spectra of plant sample extract; S2, arranging ultraviolet spectrum data of multiple samples to obtain a bilinear mixed signal number array D, and using MCR-ALS algorithm to decompose the array into a relative concentration change profile matrix C and a normalized spectrum profile matrix S T , and then selecting a pure concentration change profile vector c n and a pure spectrum profile vector s n of the first n single analyte; T S3, for the resolved first n component, using the pure concentration change profile vector c n and the pure spectrum profile vector s n T , reconstructing a pure absorbance matrix Dn=c n ◦s n T ; S4, calculating the concentration: calculating the concentration according to the Lambert-Beer law. The application not only inherits the advantages of the Arnon formula, but also can overcome spectral interference to give more accurate quantitative results.

The invention provides an intelligent water nitrate monitoring system and method based on an unmanned ship, and relates to the technical field of water quality monitoring. A space-time topological grid of a monitored water area is constructed, the unmanned ship executes a water body monitoring task in each monitoring unit of the space-time topological grid of the monitored water area, and an ultraviolet spectrum detection device, an environment monitoring device and a plurality of equipment state sensors synchronously obtain spectrum data, environment parameters and equipment state data; the nitrate monitoring and processing module performs cross analysis of equipment attitude, spectral integrity and environmental interference on the spectral data, the environmental parameters and the equipment state data by using a multi-dimensional verification rule base, identifies abnormal data through a dynamic neighborhood radius algorithm, and starts an intelligent repair algorithm cluster to correct the abnormal data; matching the equipment state data with a fault feature database to determine equipment health state diagnosis; and the cloud management platform receives the corrected nitrate concentration data to generate a nitrate concentration spatial-temporal distribution map and carries out concentration abnormity early warning.

The present invention relates to the technical field of wastewater treatment, and discloses an acrylic acid wastewater intelligent treatment system and a treatment method thereof, the acrylic acid wastewater intelligent treatment system comprises a continuous monitoring module, the continuous monitoring module comprises an ultraviolet spectrum sensor installed at a key node of a water inlet of the wastewater treatment system, and the ultraviolet spectrum sensor continuously monitors the dynamic change of an acrylic acid concentration value in water in real time; and the data processing module is used for setting a concentration upper limit threshold value when monitoring that the concentration of the acrylic acid in the water in the water inlet exceeds the concentration upper limit threshold value. When the concentration of the acrylic acid in the water at the water inlet is monitored to exceed the standard, the concentration change in a short time is smoothed through a rollback time window mechanism, so that the response to the concentration fluctuation is more flexible, and the system can judge that the wastewater can still achieve a purification effect after being mixed with low-concentration wastewater through calculation of a temporary upper limit threshold value; no unnecessary alarm or processing stagnation is generated.

The invention provides a parallel crystal form screening and process optimization system integrating online ultraviolet and imaging, and belongs to the technical field of crystal preparation and optimization. The temperature control device consists of a temperature control device, a process monitoring device, a stirring device, a feeding device and an upper computer and is used for performing closed-loop control on the temperature in the crystallizer; the process monitoring device comprises a multi-probe online ultraviolet spectrometer, an online imaging probe, a probe type turbidity meter, a Raman spectrometer and the like and is used for measuring the solution concentration and the solution supersaturation degree in the crystallizer in real time, observing the growth condition of crystals and other information and providing support for particle size measurement; the stirring device adopts two stirring modes of mechanical stirring and magnetic stirring and is used for stirring solutions with different viscosities; the feeding device comprises a feeding pump, a feeding pipe and a material taking pipe; the problems of long experiment period and low experiment efficiency in the medicine crystallization production process can be solved.

The application discloses a research method for interaction between a new pollutant and DNA, and the method comprises the following steps: using a DFT method in quantum chemistry calculation software to optimize the molecular structure of the new pollutant and deoxy nucleoside; using Multiwfn software to obtain the contribution of each atom to a molecular orbital and atomic charge distribution; finding an electrophilic site of the new pollutant and a nucleophilic site of the deoxy nucleoside; using molecular docking software to perform docking calculation on the new pollutant and a double-stranded DNA fragment and search for an optimal combination position; using a UV-Vis ultraviolet spectrophotometer to perform ultraviolet spectrum titration on the interaction between the new pollutant and the double-stranded DNA; using a super high performance liquid chromatography-mass spectrometry method to perform gradient elution, detecting the deoxy nucleoside through a multiple reaction detection method, calculating a reaction rate, and identifying a deoxyribose unit prone to adduct reaction with the new pollutant; and analyzing the detection result.

The application discloses a kind of deep ultraviolet depolarization spectrometer prism and preparation method thereof, including two right-angle prisms, and deep ultraviolet depolarization optical film between two right-angle prisms;The deep ultraviolet depolarization optical film is the multilayer dielectric film structure of high refractive index medium HfO2 layer, medium refractive index medium Al2O3 layer and low refractive index medium SiO2 layer alternately superimposed, total layer number is not less than 48;The application uses the multilayer dielectric film structure of high refractive index medium HfO2 layer, medium refractive index medium Al2O3 layer and low refractive index medium SiO2 layer alternately superimposed as deep ultraviolet depolarization optical film, effectively solve the problem of deep ultraviolet spectrum depolarization spectrometer, the spectral index satisfies T / R=50 / 50±3% under the condition of 248nm central wavelength, incident angle is 45°, and |Tp-Ts|<4%, it shows that the polarization state of two polarized light polarization is less than 4%, and the ratio of light splitting is accurately controlled in 50:50±3 range, significantly improve the light splitting precision and stability.

The embodiment of the invention discloses a portal frame fault category identification method and related equipment, the inclination angle, the bus voltage, the discharge ultraviolet spectrum and the air insulation strength in the embodiment can cover the structure, the electricity and the environment factors of the portal frame, and the limitation of a single information source is avoided. The method comprises the steps of quantifying probability values of state information to different states based on a preset probability function, calculating belief function values and likelihood function values of the different states according to the probability values, and judging the fault type of the portal frame according to the belief function values and the likelihood function values, so that the fault type is judged based on multi-information-source data. And the fault type discrimination precision is improved.

The invention relates to the technical field of energy storage of iron-chromium flow batteries, and provides an online monitoring method for aging of a negative electrode of an iron-chromium flow battery. The method comprises the following steps: designing a special negative electrode storage tank system to regularly collect trace electrolyte, detecting the content of chromium complex ions Cr (H2O) 6-nCln (3-n) + (n = 0-3) through an ultraviolet spectrum, and associating cycle times to construct an aging mathematical model to form an off-line monitoring database, thereby establishing an off-line monitoring mechanism; the method comprises the following steps: establishing a special online spectrum detection experiment platform, collecting chromium complex ion spectrum data in real time, analyzing a chromium complex ion evolution rule in a charging and discharging stage and a circulating process, analyzing a dynamic behavior and a reaction mechanism of a negative electrode chromium complex ion, and establishing a battery aging online monitoring mechanism; and based on the off-line detection result and a special experimental platform, performing correlation analysis on the chromium complex ion concentration distribution trend, the chromium complex ion concentration attenuation trend and the chromium complex ion formation mechanism, and quantitatively predicting the aging time point of the battery. According to the method, offline structure-activity relationship modeling and an online spectrum analysis technology are innovatively combined, the time hysteresis limitation of traditional offline detection is broken through, and in-situ, real-time and nondestructive monitoring of the iron-chromium flow battery negative electrode aging process is realized. Meanwhile, regeneration intervention on the iron-chromium flow battery at the most appropriate time point can be effectively guided, so that the electrolyte utilization rate is maximized, the service life of the system is prolonged, and the operation and maintenance economy is optimized.

The invention relates to the technical field of quality detection of glass products, in particular to a method for predicting leaching resistance of a perfume glass bottle, which comprises the following steps: S1, preparing a simulation solution containing ethanol, phenoxyethanol and the like with the pH value of 3.0-5.5; s2, establishing an ion migration kinetic model; s3, detecting the relationship between absorbance and sodium ion concentration by using the modified gold nanoparticles through ultraviolet spectrum; and S4, 12 characteristic variables such as glass components and process parameters are input, the model is trained through a random forest algorithm, a predicted value of the sodium ion leaching concentration in 50-365 days is output, and the error is smaller than or equal to 8%. According to the method, multiple influence factors are covered, the detection accuracy and the model applicability are improved, the evaluation period is shortened, the cost is reduced, and reliable guidance is provided for glass bottle optimization and process improvement.