32results about How to "No sampling required" patented technology

The present invention is one coupled high-sensitivity single-mode fiber evanescent wave sensor, and belongs to the field of optical fiber and sensor technology. The sensor consists of mainly light source, optical fiber, fiber evanescent wave sensor element, detector, signal processing unit and container holding measured medium. It features the single-mode fiber; the melting cone type single-mode fiber coupler probe as the fiber evanescent wave sensor element; the basal body with the packed melting cone type single-mode fiber coupler probe, sensing single-mode fiber cone area, single-mode fiber lead-in ends and fixing glue to fix the fiber; the hollow channel for tested gas or liquid to be led in; and the container holding measured medium. The present invention has simple structure, high sensitivity, high selectivity of lowest measurement limit in ppb to ppm level, and other advantages

The invention belongs to the technical field of online analysis and measurement of the uranium concentration of leach slurry of a uranium ore hydrometallurgical mill, and specifically relates to a device for the online measurement of the uranium concentration of leach slurry of a uranium ore, and an application method. The device determines the area of a uranium peak through dynamically capturing the position of the gamma peak 185.7keV of 235U in a spectrum and determining an ROI value, solves a problem of impacts on a measurement result from temperature changes, high-voltage source changes, the gain changes of a photomultiplier and the drift of an electronic circuit, and improves the measurement stability and reliability of an instrument. The device does not employ a complex negative feedback temperature compensation method, and employs a computer to track the gamma feature peak of 235U, and determines the measurement position. Figure 2 and Figure 3 describe the change conditions of the gamma feature peak of 235U along with the temperature. Only if the gamma feature peak of 235U is determined, can the uranium concentration be accurately determined.

The invention relates to an in-situ detection device for the chlorophyll concentration of water and a detection method of the in-situ detection device. The in-situ detection device and the detection method aim at solving the problems that in an existing device, the excitation light path can be not adjusted, the fluorescence intensity is low, and the fluorescence detection accuracy and sensitivity are low due to scattering generated when water contains lots of impurities. A water sample chamber water inlet device is arranged at the bottom of a quartz water sample chamber, a stainless steel shell is arranged outside the quartz water sample chamber, a detector, a light filter and a focusing lens are arranged over the quartz water sample chamber, a light source, a light source transverse adjustment support, a light source transverse adjustment mechanism and a light source direction adjustment mechanism are arranged on the side face of the quartz water sample chamber, and the detector, the light source, the light source transverse adjustment mechanism and a light source incidence angle adjustment mechanism are connected with a host through wires. The method includes the steps that water background fluorescence signals measured under the off-state of the excitation light source are collected, then water fluorescence signals under the on-state of the excitation light source are collected, and background fluorescence interference is automatically subtracted through operation.

The invention discloses a micro-scale pore pressure static sounding probe for effectively identifying an extra-thin soil layer. According to the micro-scale pore pressure static sounding probe for effectively identifying the extra-thin soil layer, a stainless steel guide pipe (1) is arranged to be a base body, a friction sleeve (2) is arranged on the lower half portion of the outer side of the stainless steel guide pipe (1), the stainless steel guide pipe (1) is connected and sealed with the friction sleeve (2) through an organic silicone seal ring (3), a strainometer (4) is arranged on the lower portion of the inner surface of the stainless steel guide pipe (1), the strainometer (4) and an external circuit are connected to form a Wheatstone bridge through wires (5), a pore water pressure sensor (6) is arranged below the strainometer (4), a pore pressure filtering ring (7) is arranged below the friction sleeve (2), and a taper probe (8) is arranged below the pore pressure filtering ring (7). The micro-scale pore pressure static sounding probe for effectively identifying the extra-thin soil layer has the advantages of being capable of keeping the original position, fast and convenient to use, high in distinguishability and the like, and is an effective detection tool for the identification and evaluation of extra-thin soil layer in geological survey and geotechnical engineering and the measurement of bearing capacity of sandy soil after liquefaction.

The invention relates to a broadband confocal method and device to measure refractive index of an infrared lens element and belongs to the technical field of optical precision measurement. A black light source is used herein to generate a lighting point source of specific wavelength through a wavelength gating system, a confocal light path is used to perform chromatographic focus fixation on apexes of front and rear surfaces of a lens under measurement, optical thickness of the lens under measurement is acquired by measuring, element refractive index of the lens is acquired by calculating through a ray tracking algorithm, and high-precision noncontact measurement of element refractive index of an infrared lens under any wavelength in a wide band range of from visible light to infrared is achieved. The method and device of the invention have the advantages that destructive sampling on a lens under measurement is not required, nondestructive direct measurement of element refractive indexof the lens under any wavelength from visible light to infrared is achieved, the measuring process is convenient, measurement precision is high, the ability to resist ambient interferences is great,and a brand-new effective technical means to detect the element refractive index of the lens is provided.

The invention discloses a coating thickness measuring method and a measuring system, relates to the coating thickness measuring technical field, and aims to solve the problems that an existing coatingthickness measuring method is narrow in application scopes; the method comprises the following steps: S1, using the first pulse laser to bombard the first coating, thus obtaining the frequency spectrum information of optical-acoustic signals emitted by the first coating bombarded by the first pulse laser; S2, determining the bombarding frequency of the first pulse laser from the first time the first coating is being bombarded until the first coating is punctured according to the frequency spectrum information; S3, determining the thickness of the first coating according to a function relationbetween the thickness of the coating (with the same material of the first coating) and the bombarding frequency of the first pulse laser. The measuring method and system can be applied to coating measurement.

The invention discloses a method for online analyzing methyl chlorosilane by adopting an online raman spectrometer to build a model. The method comprises the following steps of combining a raman spectrum chart of a sample with analysis data acquired in a gas chromatographic method, acquiring a distributive curve of each component in a calculation way by utilizing a statistics method, establishing a raman spectrum model of each component, predicting components of the sample by utilizing the raman spectrum model after scanning the sample by utilizing the online raman spectrometer, outputting a result and a time sequence curve, and realizing the real-time monitoring on variation of each component in methyl chlorosilane by virtue of the online raman spectrometer. The method has the advantages that sampling is not needed, the sample is not damaged, the operation is simple, the analysis is rapid, and the environmental pollution can be avoided.

The invention provides an oxygen concentration detection sensor for an oxygenator. The oxygen concentration detection sensor comprises an oxygen permeation layer, an insulating layer arranged on the lower surface of the oxygen permeation layer, a heater layer arranged on the lower surface of the insulating layer, a cavity arranged between the oxygen permeation layer and the insulating layer, and adiffusion barrier channel layer arranged between the oxygen permeation layer and the insulating layer, wherein an outer electrode and an outer electrode pin are arranged above the oxygen permeation layer; an inner electrode and an inner electrode pin are arranged below the oxygen permeation layer; the outer electrode and the inner electrode oppositely form an oxygen pumping counter electrode; a heater is arranged in the heater layer, and the heater is provided with a terminal pin; the inner electrode is arranged in the cavity; one end of the diffusion barrier channel layer communicates with external atmosphere to be detected, and the other end of the diffusion barrier channel layer communicates with the cavity. The oxygen concentration detection sensor is simple in structure, shortens thestarting time through a built-in heating circuit manner, and comprehensively utilizes the oxygen permeation characteristic, high temperature resistance and corrosion resistance of a ceramic substrate; the detection of oxygen concentration is not affected by environmental factors, such as the temperature and flow of gas to be detected.

The invention provides a household networked system for detecting occult blood in feces and urine, and particularly provides a device for detecting fecal occult blood. The device comprises a detecting module and a result outputting module. The detecting module is used for detecting occult blood and sending a detection result to the result outputting module. The detection result is displayed in the result outputting module. The invention also provides a close stool comprising the device for detecting the fecal occult blood. By utilization of a technical scheme, detection is free of sampling, simple in operation, and free of operation by professional operators. The system, the device and the close stool are suitable for household use. The device is high in sensitivity, can be networked with a computer and a mobile phone data processing terminal so as to achieve data processing and / or sharing, can compare detection data with data in a database, and gives a reasonable suggest.

A throwing-into type ultraviolet absorption on-line analyzer belongs to the technical field of water quality detection apparatus equipment, is used for in-situ detection of water quality in water; the technical scheme comprises: the analyzer comprises an housing body, a measuring pool, a power supply, a measuring unit, a reference unit, a control unit; the measuring pool is mounted inside the housing body; the power supply is mounted at one side of the measuring pool in the housing body; the measuring unit, the reference unit, the control unit are mounted at the other side of the measuring pool in the housing body; light through holes passing through the measuring pool are disposed along an axial direction of the measuring pool; a water inlet is disposed at the central part of the measuring pool; lenses are respectively mounted in light through hole cavities which are located at two sides of the water inlet of the measuring pool and face each other; the axis of the lenses, the optical axis of the power supply, and the optical axis of the measuring unit are on the same straight line; the measuring unit is arranged to have a 10 DEG-30 DEG angle with the reference unit; signal output ends of the measuring unit and the reference unit are connected to the control unit. According to the invention, the analyzer can be directly thrown into the water to be detected for monitoring, and the measurement is convenient and rapid, does not require sampling, and saves cost.

The invention discloses a TBM excavation rock slag information automatic acquisition and analysis system and method. The system comprises a visual sensor used for acquiring rock slag images, a TBM matched belt which is used for transporting rock slag and provided with stripes, a controller which is used for processing the rock slag images to obtain the shape and the size of the rock slag in a slagmaterial, and a TBM operating room display which is used for displaying rock slag information; and the controller is connected with the visual sensor. A manner of arranging a plurality of measuring points on the TBM belt is adopted to obtain more comprehensive and accurate rock slag two-dimensional information, and rock slag three-dimensional characteristics such as the shape, the particle size and the gradation of the rock slag are estimated through processing of the controller, so that an important basis is provided for judging the geological condition of surrounding rock and adjusting TBMtunneling parameters according to the rock slag characteristics. By means of the system and method, the problems that an operator cannot timely and comprehensively observe the surrounding rock condition and time and labor are wasted when the rock slag is manually screened are solved, and the rock slag images can be collected and analyzed in real time so that tunnel face rock mass information can be timely provided.

The invention provides a method for detecting nitrite on line through liquid core fiber resonance Raman spectrum.The method involves a light source, a reflector path system and a light path receiving processing system.A laser device with the continuously adjustable laser frequency is adopted as the light source.The reflector path system comprises a reflector, a light filter, a focusing lens and a liquid core fiber.The light path receiving processing system comprises a monochrometer, a charge coupled device, a S3C2440 chip and a touch screen.The liquid core fiber is adopted for monitoring a nitrite solution, sampling is not needed, a sample is not damaged, meanwhile, the Raman spectrum strength can be improved by 103 times through the liquid core fiber technology, the Raman spectrum strength can be improved by 106 times by adopting the resonance Raman spectrum technology, the Raman spectrum strength can be improved by 109 times by combining the liquid core fiber technology and the resonance Raman spectrum technology, the S3C2440 chip is used for processing data, a data change track is drawn on the touch screen in real time, manual operation is not needed in the whole process, and the concentration of nitrite in water can be continuously measured on line.

The invention relates to an online infrared temperature measurement system for a high-voltage cable porcelain sleeve terminal. The system comprises a front-end acquisition device, a monitoring display device, a data acquisition client, a fault real-time warning module and a user remote device. The front-end acquisition device is connected with the monitoring display device. The data acquisition client is connected with the front-end acquisition device, the monitoring display device and the fault real-time warning module. The user remote device is connected with the monitoring display device and the data acquisition client. Compared with the prior art, the online infrared temperature measurement system has advantages of online monitoring, automatic acquisition, real-time diagnosis and warning, reliable temperature measurement, low maintenance cost and automatic data analysis.

The invention discloses a salinized soil salt content estimation method based on a surface image in order to solve the problems that an existing salt content measuring method is complex and a measuring result is inaccurate. The method comprises the steps that two-dimensional information such as color, texture and brightness of a surface image is fully extracted on the basis of a convolutional neural network algorithm, and finally a relation model of image characteristics and the salt content is established through a support vector machine regression method. The algorithm is low in recognitioncomplexity, high in speed and good in stability, and a simple, accurate and efficient salinized soil salt estimation method is achieved. The method is applied to the fields of remote sensing, agriculture and the like.

The invention discloses a novel saturation device for a piezocone penetration probe measurement system and a filter ring thereof. The device mainly comprises a probe (1), a hole pressure filter ring (9), a sealed container (3) and a vacuum pump (7); an aperture is opened in the middle of the upper part of the sealed container (3); a taper angle root at the lower part of the probe (1) is provided with the hole pressure filter ring (9); the bottom half of the probe (1) penetrates into the sealed container (3) through the aperture; an O-shaped seal ring (4) is embedded between the probe (1) and the aperture; the upper part of the sealed container (3) is provided with a clamp (2); glycerin (8) is injected in the sealed container (3); the sealed container (3) is connected with the vacuum pump (7) by an air duct (5); and the upper part of the vacuum pump (7) is provided with an exhaust valve (6). By using the saturation device, the saturation device has the characteristics of facility, labor conservation, high efficiency and the like and provides a powerful saturation tool for the in-situ pore water pressure static cone penetration test experiment.

The invention discloses a method for in-situ nondestructive detection of stone sources of stone cultural relics, which is used for detecting the stone sources of the stone cultural relics and comprises the following steps: determining potential sources of stones ofthe detected stone cultural relics through regional geologic features, historical records and the like; utilizing a portable X-ray fluorescence spectrophotometer to test chemical components of the detected stone cultural relics and stones of a potential source of the stone cultural relics; carrying out statistical analysis on the detected chemical component data by respectively utilizing a clustering analysis method and a Bayesian principal component analysis method; when the stones of the detected stone cultural relisc are matched with a certain potential source stone, obtaining the source of the stones of the detected stone cultural relics; and if the stones of the detected stone cultural relics is not matched with the potential source stone, continuously repeating the steps until the detected stone cultural relic stone is matched with the potential source stone. According to the method, the detected stone cultural relics are not damaged, sampling is not needed, the reliability is high, and in-situ detection can be achieved.

The invention relates to a synchronous on-line measurement device for steam-injection type oil well temperature, pressure and steam quality. The synchronous on-line measurement device comprises a temperature demodulator, a pressure demodulator, a reflectivity demodulator and an industrial personal computer located on the ground, as well as a temperature sensor, a pressure sensor, a reflectivity sensor and an underground probe located underground. The underground probe comprises a shell and an airtight barrel arranged in the shell, an annulus is formed between the shell and the airtight barrel, a flow guide hole is formed in the wall of the shell, and the annulus is communicated with the outside through the flow guide hole. Upper ends of the shell and the airtight barrel are all located at a wellhead. The temperature sensor and the reflectivity sensor are all placed in the airtight barrel, and the pressure sensor is located in the annulus and fixed at the wellhead. The technical problem that an existing underground temperature, pressure and saturated steam quality measurement method is not suitable for the underground high-temperature high-pressure environment and low in efficiency is solved, and the method is used for solving the problem about on-line measurement of three parameters of steam-injection type oil well temperature, pressure and steam quality and grasping steam injection situations of an oil well.

The embodiment of the invention discloses a method for identifying defects of a metal additive manufacturing workpiece and related equipment. The method comprises the following steps: acquiring laser-induced plasma characteristic spectrums of at least two metal elements on the metal additive manufacturing workpiece by utilizing a laser induction technology; acquiring a spectral data matrix of the metal additive manufacturing workpiece based on the laser-induced plasma characteristic spectrum; performing dimension reduction processing on the spectral data matrix in a principal component analysis mode to obtain a target number of principal components; and substituting the target number of principal components as input variables into a random forest model based on a decision tree classifier to obtain a defect identification result of the metal additive manufacturing part. Through the technical scheme of the embodiment of the invention, real-time, nondestructive and multi-element online analysis of the defects of the metal additive manufacturing part can be realized, and the efficiency and the accuracy of the defects of the metal additive manufacturing part are improved.

The invention provides a method for detecting nitrite on line through liquid core fiber resonance Raman spectrum.The method involves a light source, a reflector path system and a light path receiving processing system.A laser device with the continuously adjustable laser frequency is adopted as the light source.The reflector path system comprises a reflector, a light filter, a focusing lens and a liquid core fiber.The light path receiving processing system comprises a monochrometer, a charge coupled device, a S3C2440 chip and a touch screen.The liquid core fiber is adopted for monitoring a nitrite solution, sampling is not needed, a sample is not damaged, meanwhile, the Raman spectrum strength can be improved by 103 times through the liquid core fiber technology, the Raman spectrum strength can be improved by 106 times by adopting the resonance Raman spectrum technology, the Raman spectrum strength can be improved by 109 times by combining the liquid core fiber technology and the resonance Raman spectrum technology, the S3C2440 chip is used for processing data, a data change track is drawn on the touch screen in real time, manual operation is not needed in the whole process, and the concentration of nitrite in water can be continuously measured on line.

The invention relates to an in-situ detection device for the chlorophyll concentration of water and a detection method of the in-situ detection device. The in-situ detection device and the detection method aim at solving the problems that in an existing device, the excitation light path can be not adjusted, the fluorescence intensity is low, and the fluorescence detection accuracy and sensitivity are low due to scattering generated when water contains lots of impurities. A water sample chamber water inlet device is arranged at the bottom of a quartz water sample chamber, a stainless steel shell is arranged outside the quartz water sample chamber, a detector, a light filter and a focusing lens are arranged over the quartz water sample chamber, a light source, a light source transverse adjustment support, a light source transverse adjustment mechanism and a light source direction adjustment mechanism are arranged on the side face of the quartz water sample chamber, and the detector, the light source, the light source transverse adjustment mechanism and a light source incidence angle adjustment mechanism are connected with a host through wires. The method includes the steps that water background fluorescence signals measured under the off-state of the excitation light source are collected, then water fluorescence signals under the on-state of the excitation light source are collected, and background fluorescence interference is automatically subtracted through operation.

The invention relates to a novel coupled high-sensitivity single-mode optical fiber evanescent wave sensor, which belongs to the technical field of optical fibers and sensors. A coupled single-mode optical fiber evanescent wave sensor of the present invention is mainly composed of a light source, an optical fiber, an optical fiber evanescent wave sensing element, a detector, a signal processing unit, and a container containing a side medium; it is characterized in that the optical The micro is a single-mode optical fiber; the optical fiber evanescent wave sensing element is a fused-cone single-mode fiber coupler probe; the fused-cone single-mode fiber coupler probe is packaged in a matrix, and there is a sensing single-mode fiber cone in the matrix There is a single-mode optical fiber lead-in end of a single-mode optical fiber coupler for sensing at both ends, which fixes the optical fiber on the substrate by fixing glue; there is still a hole near the optical fiber taper area to allow the measured gas or liquid to pass through and surround the optical fiber. The hollow access groove in the cone area; the probe or sensing element of the fused cone single-mode fiber coupler is placed in a container containing the measured medium and is surrounded by the measured medium. The sensor of the present invention has the advantages of simple structure, high sensitivity, good selectivity, strong anti-interference ability, real-time detection, no need for sampling measurement, convenient networking, etc., and its minimum detection limit reaches ppb-ppm level.

The invention discloses an intelligent Baume specific gravity measuring device by utilizing a tension sensor, which comprises a shell system, a tension system and an intelligent system, the intelligent system is arranged on the upper side of the shell system, and the tension system is arranged on the lower side of the shell system. According to the intelligent Baume specific gravity measuring device and method by utilizing the tension sensor, a glass material is not adopted, breaking is not likely to happen, scales do not need to be observed, and the situation that data cannot be read due to pollution is avoided; due to the fact that the tension sensor is arranged, the measuring range is wide, and various kinds of liquid with different densities can be measured. The measuring device is notinfluenced by the size of a container, does not need sampling, is directly put into a large container and is convenient to use; the influence of fluctuation of the liquid level is avoided, and the measurement time is short; the tension sensor is adopted, so that the measurement precision is greatly improved; and direct digital display is adopted, so that personal errors are reduced, and real-timeinformation can be provided for automatic control.

The invention discloses a rotary drum device with an automatic door closing function and relates to the field of testing equipment for the viscosity index of bituminous coal. The rotary drum device comprises a front bearing frame, a rear bearing frame, a driving wheel, a driven wheel, a translational nut, a lead screw, a rotary drum, a low-resistance piston, a fixed door, a movable door, a hopper, a sieve, a waste-material box, a door closing bracket, a door closing shaft, a door closing roller, a closing spring, a main motor and an auxiliary motor, wherein the automatic door opening is realized by common action of a movable baffle plate and the closing spring, automatic closing is realized by common action of the closing roller and the closing spring, and automatic outward pushing is realized by forward movement of the low-resistance piston in the rotary drum. The rotary drum device disclosed by the invention has the advantages that the structure is reasonable, the automatic door opening and closing and automatic material taking are achieved.

The invention discloses a rock strength prediction system and method based on petrographic feature analysis. The technical scheme is as follows: a rotating mechanism is included, and a grinding mechanism, a cleaning mechanism, a drying mechanism, a structure identification mechanism and mineral An analysis mechanism; the structure identification mechanism and the mineral analysis mechanism are connected with the strength prediction system. The present invention realizes accurate prediction of various strengths of rocks through rapid acquisition and quantitative analysis of structural characteristics and material components of rocks, and fusion of machine learning algorithms.

The invention discloses a micro-scale pore pressure static sounding probe for effectively identifying an extra-thin soil layer. According to the micro-scale pore pressure static sounding probe for effectively identifying the extra-thin soil layer, a stainless steel guide pipe (1) is arranged to be a base body, a friction sleeve (2) is arranged on the lower half portion of the outer side of the stainless steel guide pipe (1), the stainless steel guide pipe (1) is connected and sealed with the friction sleeve (2) through an organic silicone seal ring (3), a strainometer (4) is arranged on the lower portion of the inner surface of the stainless steel guide pipe (1), the strainometer (4) and an external circuit are connected to form a Wheatstone bridge through wires (5), a pore water pressure sensor (6) is arranged below the strainometer (4), a pore pressure filtering ring (7) is arranged below the friction sleeve (2), and a taper probe (8) is arranged below the pore pressure filtering ring (7). The micro-scale pore pressure static sounding probe for effectively identifying the extra-thin soil layer has the advantages of being capable of keeping the original position, fast and convenient to use, high in distinguishability and the like, and is an effective detection tool for the identification and evaluation of extra-thin soil layer in geological survey and geotechnical engineering and the measurement of bearing capacity of sandy soil after liquefaction.

The invention discloses a system and method for automatically collecting and analyzing information on rock slag excavated by a TBM. The system includes: a visual sensor for collecting images of rock slag; a TBM supporting belt for transporting rock slag, and the belt is provided with stripes; A controller used to process rock slag images to obtain the shape and size of each rock slag in the slag material; a TBM operating room monitor used to display rock slag information, and the controller is connected to the visual sensor. The method of arranging multiple measuring points on the TBM belt is used to obtain more comprehensive and accurate two-dimensional information of the rock slag. Through the processing of the controller, the three-dimensional characteristics of the rock slag such as the shape, particle size and gradation of the rock slag are estimated. Furthermore, it provides an important basis for judging the geological conditions of the surrounding rock and adjusting the TBM tunneling parameters according to the characteristics of rock slag. The invention solves the problems that operators cannot observe the surrounding rock conditions comprehensively in time and manually sieves rock slag, and can collect and analyze rock slag images in real time so as to provide face rock mass information in time.

The invention discloses a method for on-line analysis of methyl chlorosilane by using an online Raman spectrometer to establish a model. The Raman spectrogram of the sample is combined with the analysis data obtained by gas chromatography, and statistical methods are used to calculate and obtain each group of The distribution curve of each component was established, and the Raman spectrum model of each component was established. After the online Raman spectrometer scans the sample, the Raman spectroscopic model is used to predict the sample components, and the results and time series curves are output, realizing the real-time monitoring of the changes of various components in methylchlorosilane by the online Raman spectrometer. The method has the advantages of no sampling, no damage to samples, simple operation, rapid analysis, and no environmental pollution.

The invention relates to an online evaluation method of the concentration of acetobacter xylinus capable of generating cellulose. According to the online evaluation method, a model used for representing the relationship between bacteria concentration and capacitivity is established; an online capacitivity detection device is adopted for real time monitoring of the capacitivity value of a culturing solution; the model used for representing the relationship between bacteria concentration and capacitivity is established, so that real time observing on the change trend of bacteria concentration can be realized, and culturing endpoint is determined based on a bacteria concentration change trend chart. The online evaluation method is capable of avoiding influences of culture medium, cellulose filament, insoluble particles, and foam on bacteria concentration measuring results, and possesses excellent application effect in experimental production, pilot scale production, and industrial scale production.

The invention discloses a rock strength prediction system and method based on lithofacies characteristic analysis. According to the technical scheme, the rock strength prediction system comprises a rotating mechanism, and a grinding mechanism, a cleaning mechanism, a drying mechanism, a structure recognition mechanism and a mineral analysis mechanism are sequentially distributed in the circumferential direction of the rotating mechanism; and the structure identification mechanism and the mineral analysis mechanism are connected with the strength prediction system. The structural characteristics and the material components of the rock are rapidly acquired and quantitatively analyzed, and the machine learning algorithm is fused, so that accurate prediction of various strengths of the rock is finally realized.

The invention discloses an online chromaticity detection device in a naphtha heat exchange process, which comprises a controller, an analyzer sensor, a main pipeline, a branch pipeline, a regulating valve, a control valve I and a control valve II, the main pipeline and the branch pipeline are of a parallel structure, and a light source emitter and a receiver are arranged in the analyzer sensor. A square medium channel flows between the light source emitter and the receiver through a window body, flanges are arranged at the two ends of the outer side of the medium channel and connected with the branch pipeline, the controller is connected with the receiver of the analyzer sensor, the adjusting valve, the first control valve and the second control valve, and the first control valve and the second control valve are installed at the two ends of the branch pipeline respectively. According to the invention, a double-channel measurement principle is adopted, a bypass type sampling structure is selected, precipitation and filtration are carried out, a window lens is kept at a constant temperature, the response speed is high, and the measurement result is accurate.