390 results about "Optical spectrum analyzer" patented technology

The invention provides an LED light source uniformity and color deviation detection method, which comprises the following steps: setting environmental parameters of a constant temperature and humidity test box, monitoring the environment in the box in real time through a temperature and humidity sensor, and triggering a temperature and humidity control system to adjust when detecting that the temperature and humidity deviate from a set value; according to the initial color characteristic database, placing an LED light source in the constant-temperature and constant-humidity test box for an accelerated aging test, and obtaining spectral data of the light source at different time points by adopting a spectrum analyzer; calculating chromaticity coordinates, color temperatures and color rendering indexes corresponding to the spectral data at different time points, calculating a color deviation value of the LED light source, and fitting a change curve of the color deviation along with time; and according to an accelerated aging test result of the LED light source, calculating the color maintenance life of the light source in a high-temperature and high-humidity environment, and completing color deviation detection through a color stability uniformity index of the LED light source.

The invention discloses a long-distance communication trunk optical cable fault positioning method and system, and the method comprises the steps: determining a monitoring demand, configuring an optical power meter, an optical spectrum analyzer and an OTDR, installing the optical power meter, the optical spectrum analyzer and the OTDR at a node, connecting monitoring equipment and a data collection system, configuring collection frequency, a threshold value, a storage and transmission strategy, configuring a data analysis algorithm, and starting the monitoring system to collect data. The optical cable performance is monitored in real time, data are automatically analyzed to identify abnormity, a fault alarm is generated and notified to maintenance personnel, and the data are integrated to automatically calculate the fault position. The fault detection and positioning efficiency is improved, the network reliability and maintenance efficiency are enhanced, and guarantee is provided for stable operation of the optical cable network.

The invention provides an LED lamp intelligent energy-saving control method and system, and the method comprises the steps: obtaining environment illumination intensity data, personnel flow density data and current working state parameters of an LED lamp, which are collected by a plurality of sensors, carrying out the preprocessing of the original data of the sensors, and obtaining a standardized environment perception data set; calculating power resources required by the intelligent control system are evaluated according to the LED lamp control parameter optimization scheme, the brightness output of the LED lamp is controlled according to the calculating power resources, and the current proportion of red, green and blue LED chips is adjusted according to the color temperature; whether the light beam angle needs to be adjusted or not is judged through matching analysis of the light beam angle and environmental perception data, if yes, the lens position of the LED lamp is changed, and the output spectral characteristics of the LED lamp are measured and determined through a spectrum analyzer; after sensor calibration parameters are updated, LED lamp power consumption data are collected, and if the deviation between actual power consumption and a theoretical calculation value is smaller than a preset percentage, it is determined that the energy-saving control effect reaches an expected target.

The invention discloses a round bottle printer control method, system and device and a storage medium, and relates to the technical field of round bottle printer control, and the method comprises the steps: analyzing PRN format printing data, segmenting the PRN format printing data into a forward printing layer and a reverse printing layer according to the physical layout of a nozzle, and generating an S-shaped data file containing a channel mapping relation; at least two printing strokes are executed, in the first round, the nozzle array is driven to output a forward image layer along a forward track, in the second round, a reverse image layer is output along a reverse track, and a closed-loop track is formed; according to the real-time distance between the nozzle and the medium, adjusting ink droplet injection parameters including volume, frequency and track compensation coefficient; the invention further relates to a corresponding system, electronic equipment and a storage medium, the printing precision and quality can be improved, and the method is suitable for a multi-nozzle round bottle printing scene.

The invention relates to the technical field of aluminum ash washing filtrate recycling intelligent control, in particular to an aluminum ash washing filtrate recycling intelligent control device and method, and the device comprises a multi-parameter online detection module, a data processing optimization module, a process parameter execution module and a filtrate circulation module. The multi-parameter online detection module is used for cooperatively detecting the real-time concentration of trace impurity ions such as fluorine, potassium and sodium through an ion selective electrode array and a micro spectrum analyzer; predicting the dissolution trend of impurity ions through an LSTM model and generating a process parameter adjustment instruction; the process parameter execution module regulates and controls the stirring strength, the liquid-solid ratio and the water-ash contact time in a linkage manner; and the filtrate circulating module is used for buffering, homogenizing and proportionally mixing the washed liquid phase to generate a regenerated leaching medium for recycling. According to the method, the detection data and the model decision are dynamically matched through the closed-loop control process, and the impurity element removal efficiency is improved.

The invention relates to the technical field of mold processing, and provides a mold precision injection molding processing method and device based on machine vision, and the method comprises the following steps: carrying out all-directional scanning on the surface of a mold cavity based on a machine vision system to obtain cavity three-dimensional image data of the mold cavity; inputting the three-dimensional image data of the cavity into an image analysis and detection model to obtain a first analysis and detection result; calling a spectrum analyzer to detect the to-be-injection-molded material based on the first analysis detection result to obtain a material characteristic detection result of the to-be-injection-molded material; determining material processing parameters of the to-be-injection-molded material according to the material characteristic detection result, and melting the to-be-injection-molded material based on the material processing parameters to obtain a material melt; and first mold injection molding machining parameters are determined based on the mold characteristic parameters of the mold cavity, and the material melt is injected into the mold cavity based on the first mold injection molding machining parameters. The product quality stability and the production efficiency are improved, and the production cost is reduced.

The invention discloses an indoor light control method and system based on the Internet of Things, and relates to the technical field of intelligent lighting control, and the method comprises the steps: collecting indoor spectrum distribution data through a spectrum analyzer, constructing a spectrum feature fingerprint database through an edge calculation unit, and carrying out the matching and classification of spectrum feature fingerprints based on distributed calculation nodes; the spectral feature fingerprints are input into a preset optical physiological mapping model, a spectral compensation sequence is generated, and the spectral compensation sequence comprises target output proportions of spectrums with different wavelengths; and converting the spectrum compensation sequence into an indoor illumination control instruction, executing the indoor illumination control instruction through the RGBW multi-color LED array and the micro-lens array, and adjusting the illumination environment of each indoor area. According to the invention, accurate perception and intelligent regulation and control of a complex light environment are realized, and the intelligent level of indoor illumination and the user experience are improved.

The invention discloses a biological experiment automatic touch-free adding system based on optical control and an operation method thereof, and relates to the technical field of biological experiment equipment, the system comprises the following components: an optical marking module, an optical imaging and detection module, an optical control module and an automatic control module; high automation of biological experiments is realized by integrating a plurality of modules including optical marking, optical imaging and detection, optical control and automatic control, efficient and stable marking of biological samples is ensured by utilizing specific marking of a quantum dot solution and combining accurate control of a microfluidic channel in the optical marking stage, and then, the accuracy of the biological samples is ensured. Through advanced equipment such as a high-resolution fluorescence microscope and an optical spectrum analyzer, the system can accurately obtain optical information of a marked biological sample, a solid foundation is provided for subsequent control and recognition, in the optical control stage, the optical tweezers system achieves accurate control over the biological sample in a touch-free mode, and the accuracy of the biological sample is improved. Pollution and damage possibly caused by traditional physical contact are avoided.

Photonic particles and methods of using particles in biological samples are disclosed. The particles are configured to emit laser light when stimulated by, for example, pump source energy. The particles may include: a gain medium having an inorganic material, an optical cavity having a high refractive index, and a coating having an organic material. The particles may be less than 3 microns along their longest axis. The particles may be attached to each other to form, for example, doublets and triplets. The particles may be injection locked by coupling an injection beam into the particles during pumping, so that the injection seeds are amplified to develop into laser oscillations. The microscope system may include a pump source, a beam scanner, a spectrometer having a resolution of less than 1 nanometer and an acquisition rate of greater than 1 kilohertz, and a spectrum analyzer configured to distinguish the spectral peaks output by the laser from a broadband background.

The invention provides a light source control method and system based on data analysis, and the method comprises the steps: carrying out the multi-channel spectral characteristic collection of an LED light source through a spectrum analyzer array and an optical fiber probe, obtaining a spectral response curve and an interference image, carrying out the multi-scale analysis processing, and generating a multi-dimensional data tensor; performing interference mode and defect signal decoupling analysis on the multi-dimensional data tensor to obtain an interference mode feature and an interference-defect discrimination result; performing spatial distribution analysis on the interference sensitivity of the wafer surface by adopting preset kernel density estimation and a graph neural network according to the interference mode characteristics and the interference-defect judgment result, and generating an interference sensitivity distribution matrix; according to the interference sensitivity distribution matrix, the current waveform and light beam phase distribution of the LED light source are accurately modulated, intelligent control over the LED light source is achieved, the influence of multi-mode interference on semiconductor detection is effectively eliminated, and the accuracy of nanoscale defect detection is improved.

The invention discloses a VOCs emission dynamic prediction and energy-saving control system for catalytic combustion equipment in a casting workshop and a medium, the system comprises a high-frequency VOCs concentration monitoring unit which adopts TDLAS and FTIR spectrum analyzers and obtains high-precision concentration data through a data fusion algorithm, and a secondary differential signal of the TDLAS analyzer is independently extracted as a key feature; the data preprocessing and feature engineering module is used for processing multi-source data; the dynamic emission prediction module is internally provided with an attention mechanism time sequence convolutional network ATCN model, and realizes the ultra-early prediction of the emission concentration by fusing the secondary differential signal and historical data; the multi-objective optimization control module adopts a model predictive control MPC framework, the lowest comprehensive operation cost is taken as an objective, a dynamic virtual carbon penalty coefficient beta can be dynamically adjusted according to a workshop production plan, an advanced control instruction is generated through rolling optimization, and the equipment power and the fan frequency are adjusted; according to the method, ultra-early prediction, prospective control, energy conservation and consumption reduction of VOCs treatment are realized.

The invention provides a detection method of an end face integrated reflection type SPR optical fiber biosensor manufactured based on a 2PP technology. An experiment system mainly comprises a single-mode optical fiber, an optical fiber coupler, an SPR probe, a tungsten lamp light source, a sample pool, a spectrum analyzer and a computer. The method is characterized in that a volcanic three-dimensional microstructure is directly constructed on the end face of a single-mode fiber through a 2PP technology, a metal film with the thickness of about 50nm is deposited on the inner wall of the volcanic three-dimensional microstructure, and a stable and efficient SPR excitation structure is formed; the structural parameters are subjected to FDTD simulation optimization design, and have the characteristics of high quality factor and high sensitivity. The sensor can be used for AFP detection, the sensitivity reaches 0.684 nm / (ng / mL) within the linear range of 0-10 ng / mL, the normal and risk early warning concentration interval of human serum AFP is covered, and the sensor has good biological suitability and early hepatocellular carcinoma screening capacity; in addition, the probe structure is small in size, detection can be completed only by a few microliters of liquid to be detected, and the probe is suitable for a microfluidic platform with an extremely low sample size or a clinical sampling scene. Compared with the prior art, the device has the advantages of high structural integration, high sensitivity, low sample consumption, convenience in manufacturing, stability, reliability and the like.

The invention discloses an intelligent monitoring device for chest drainage components, which comprises a spectrum analyzer and a drainage bin, a main control chip; an output unit; a power supply unit; a detection area is arranged on one side of the spectrum analyzer, a detection end capable of stretching into the detection area is arranged on one side of the drainage bin, a detection cavity allowing drainage liquid to enter is formed in the detection end, the optical detection module comprises a light source module capable of emitting light beams to the detection cavity and a detector used for receiving reflected light beams, and the detector is connected with the main control chip. A reflective optical detection technology is adopted, monitoring of key components such as hemoglobin, chylomicroparticles and inflammatory factors is realized at the same time, a characteristic absorption spectrum of a specific biomarker can be covered by a multi-wavelength light source module, and concentration change trends of various components are synchronously obtained by combining absorbance dynamic analysis of a main control chip; the limitation of single parameter detection of a traditional device is broken through.

The present invention proposes a three-core hollow optical fiber magnetic field and temperature sensor based on magnetic fluid filling, with a three-core optical fiber sensing module as a sensitive element, the three-core optical fiber sensing module includes an outer cladding, an inner cladding, a first hollow core, a second hollow core, and a third hollow core, the three hollow cores are arranged at 120 degrees in space, the magnetic liquid and the glycerol liquid are respectively filled into the first hollow core and the third hollow core to obtain two liquid waveguides, the second hollow core is not filled, the detection light output by the two liquid waveguides interferes with the reference light output by the second hollow core, two interference spectra are obtained by a spectrum analyzer, and the magnetic field sensitivity characteristics of the magnetic fluid and the temperature sensitivity characteristics of glycerol are used to detect the drift of the interference image to infer the changes in the magnetic field and temperature. The optical fiber sensor not only achieves the purpose of simultaneous measurement of the dual parameters of magnetic field and temperature, but also has temperature compensation capability, thereby improving the accuracy of magnetic field measurement.

The invention discloses an automatic medicament preparation and dosage control system based on an artificial intelligence technology and a method thereof, relates to the technical field of industrial medicament preparation, and solves the problems that although the flow of medicaments can be controlled to a certain extent in the prior art, most medicaments lack intelligent prediction capability and cannot effectively process complex nonlinear working conditions. Comprising a sensor module, an intelligent controller and an actuator module, the sensor module comprises a spectrum analyzer and a weighing module and is used for monitoring components and weight of a medicament in real time, the intelligent controller processes data of the sensor module and predicts medicament dispensing parameters, the actuator module executes medicament metering, water adding and stirring operations, the sensor module monitors a medicament dispensing result in real time and feeds back the medicament dispensing result, and the intelligent controller corrects errors. Through an integrated high-precision sensor, an advanced intelligent control algorithm and a highly-automatic execution mechanism, comprehensive automatic, precise and intelligent management of the medicament preparation process is realized.

The utility model discloses a spectrum analyzer, comprising a tunable laser used for outputting frequency laser; the frequency expansion module is used for receiving the frequency laser output by the tunable laser, performing frequency expansion processing and then outputting frequency expansion laser; the signal acquisition module is used for acquiring a signal after the frequency expansion laser output by the frequency expansion module passes through the object to be measured; and the data processing module is used for analyzing the signal acquired by the signal acquisition module to obtain the frequency response of the to-be-detected object. According to the spectrum analyzer disclosed by the utility model, the frequency laser output by the tunable laser is subjected to frequency conversion through the frequency expansion module, so that the bandwidth of the spectrum analyzer is greatly expanded, and full-wave band spectrum analysis from purple light to infrared light is realized.

The invention relates to the technical field of spacecraft structure micro stress detection, in particular to a spacecraft structure micro stress detection device and a use method thereof, and the spacecraft structure micro stress detection device comprises a displacement amplification structure, a single mode fiber, a reflector, a broadband light source and a spectrum analyzer. An optical resonant cavity formed by an optical fiber end face and a lens is combined with a displacement amplification structure, when stress acts on a spacecraft structure, the cavity length of the Fabry-Perot resonant cavity changes, so that phase movement of light is caused, and accurate measurement of the stress can be achieved by detecting the phase movement. The antenna has extremely high anti-electromagnetic interference capability, and can work stably in a complex space environment. Even under the condition of violent temperature change, high measurement accuracy can be kept, and detection of tiny stress can be achieved through the amplification effect of the displacement amplification structure. And the stress characteristic signal and the background noise can be effectively separated, so that the detection reliability is remarkably improved.

The invention discloses a CO2-water-rock reaction process in-situ measurement system and a CO2-water-rock reaction process in-situ measurement method, and relates to the technical field of geochemical water-rock reaction. The system comprises a reaction kettle unit, a CO2 injection unit, a pure water / salt water injection unit and a data acquisition unit, the reaction kettle unit comprises a reaction kettle, a vacuum pump and a temperature control device, the reaction kettle is provided with a containing cavity, the vacuum pump is communicated with the containing cavity of the reaction kettle, the temperature control device is located outside the reaction kettle, the CO2 injection unit is communicated with the reaction kettle, the pure water / saline water injection unit is communicated with the reaction kettle, and the temperature control device is located outside the reaction kettle. The data acquisition unit comprises a light source, an optical fiber, a spectrum analyzer and a data acquisition and analysis device; the CO2-water-rock reaction monitoring system has the beneficial effects that real-time monitoring of the whole CO2-water-rock reaction process is realized, and the problem that the reaction process cannot be monitored in real time in the previous CO2-water-rock reaction is solved.

The invention relates to a gas concentration sensing system and a gas concentration detection method. The system comprises a plurality of graphene tilted fiber bragg gratings, each graphene tilted fiber bragg grating is composed of a tilted fiber bragg grating and single-layer graphene, and the single-layer graphene is attached to a grating area of the tilted fiber bragg grating; the wide-spectrum light source is used for generating wide-spectrum light and inputting the wide-spectrum light into the plurality of graphene tilted fiber gratings; the spectrum analyzer is used for carrying out spectrum analysis on the light transmitted by each of the plurality of graphene tilted fiber gratings to obtain spectrum analysis results corresponding to each of the plurality of graphene tilted fiber gratings; and the demodulation system is used for acquiring the spectral analysis results corresponding to the plurality of graphene tilted fiber bragg gratings sent by the spectrum analyzer, and calculating the gas concentrations of the plurality of preset gases based on the spectral analysis results. By adopting the system, the gas concentrations of various gases can be measured at the same time.

The invention discloses a method for improving self-absorption type element measurement accuracy of an oil spectrum analyzer. The method comprises the following steps: adjusting acquisition conditions, acquisition background and pre-combustion time by using an oil spectrum analyzer, acquiring light intensity signals of self-absorption elements in a standard oil sample under different concentrations, and performing data fitting on the concentrations and the light intensity signals by using a cubic spline difference method to obtain a standard working curve; and measuring the light intensity signal of the self-absorption element in the sample to be detected under the same condition by using an oil spectrum analyzer, and substituting the light intensity signal into the standard working curve to obtain the content of the self-absorption element in the sample to be detected. The method comprises the following steps: researching acquisition conditions, acquisition background, pre-combustion time and the like of an oil spectrum analyzer to obtain a light intensity signal of a self-absorption element, and obtaining a standard working curve by adopting a cubic spline difference method; and the self-absorption element measurement accuracy of the oil spectrum analyzer is greatly improved.

The invention discloses a liquid rocket engine combustion tail flame detection device and method, the device comprises an air inlet pipe, an exhaust pipe, a gas chamber packaging pipe and an intelligent controller, a plurality of detection devices such as a temperature sensor and a spectrum analyzer are arranged in the gas chamber packaging pipe along the airflow direction, and the detection devices are connected with the intelligent controller to form a data transmission channel; the detection method comprises the steps that the device is initialized, and all devices are calibrated and debugged; after the engine is started, tail flame parameters are detected in real time and transmitted to the intelligent controller; the controller performs preprocessing and deep analysis on the data; comparing an analysis result with a preset normal parameter range to judge the working state of the tail flame; and if normal, the data are backed up periodically, and the long-term trend of the performance of the tail flame can also be predicted. According to the method, the tail flame parameters can be comprehensively and accurately detected in real time, intelligent analysis and abnormal early warning are achieved, and the safety and reliability of an engine are improved.

The invention discloses a radix gentianae callus cell culture and application method, and relates to the technical field of plant biology.The method comprises the following steps that in the laser irradiation process, a real-time spectrum analyzer is used for monitoring radix gentianae tissue, and absorption characteristic information of the plant tissue to light with different wavelengths is obtained. By combining the real-time spectral analysis and the machine learning model, the scheme can accurately monitor the interaction between the laser wavelength and the photosensitive component in the plant tissue, and by intelligently evaluating and dynamically adjusting the laser wavelength, the excessive absorption of laser energy is avoided, and the photochemical reaction and cell damage are reduced. The method not only reduces the potential damage of laser irradiation to plant cells, but also optimizes the synthesis process of medicinal components, and ensures the high efficiency, repeatability and reliability of callus culture. According to the scheme, powerful support is provided for improving the accuracy of experimental results and commercialized application of the gentiana scabra bunge.

The utility model relates to an optical fiber temperature sensor, in particular to an optical fiber temperature sensor based on FPI cascade SMF-NCF-FMF, which belongs to the technical field of optical fiber sensors and comprises a broadband light source, a structure a, a structure b and a spectrum analyzer. The structure a comprises a first single-mode optical fiber (201), a hollow-core optical fiber (202), a uv curing adhesive NOA68 (203) and a second single-mode optical fiber (204); the structure b comprises a third single-mode fiber (301), a coreless fiber NCF (302), a few-mode fiber FMF (303) and a fourth single-mode fiber (304); according to the utility model, the reference arm adopts the SMF-NCF-FMF structure, so that light of more single-mode optical fiber cores can be coupled into the cladding, and the interference effect of the reference arm is improved; a sensing arm FPI cavity is composed of a single-mode optical fiber end face and a uv curing adhesive NOA68, and the uv curing adhesive NOA68 is sensitive to temperature change and can improve the temperature sensitivity of the sensing arm. And by adopting the structure that the FPI is cascaded with the SMF-NCF-FMF, an optical vernier effect can be formed, and the temperature sensitivity of the sensor is improved. The sensor has the characteristics of high temperature sensitivity, strong anti-interference capability, small size, simplicity in manufacturing and the like.

The present invention relates to the technical field of optical fiber sensing. Disclosed are a multi-core grating sensor and a manufacturing method therefor, and a permafrost monitoring method. The multi-core grating sensor comprises a multi-core optical fiber grating, a strain gauge structure, and a demodulator, and the multi-core optical fiber grating comprises four uniformly and symmetrically distributed single-mode optical fibers, a cladding layer wrapping the four single-mode optical fibers, and a coating layer located between the single-mode optical fibers and the cladding layer; the strain gauge structure is attached to the outside of the multi-core optical fiber grating by means of glue bonding; and the demodulator is used for monitoring the dynamic change of the wavelength of the multi-core optical fiber grating, the demodulator comprises a broadband light source and a spectrum analyzer, an incident end of the multi-core optical fiber grating is connected to the broadband light source by means of the single-mode optical fibers, and an exit end thereof is connected to the spectrum analyzer by means of the single-mode optical fibers. Also disclosed in the present invention is a permafrost monitoring method. By means of comprehensive analysis and demodulation of fiber core wavelength variation amounts of a plurality of single-mode optical fibers on a single multi-core optical fiber grating, simultaneous measurement of multiple parameters is achieved, and the permafrost monitoring accuracy is improved.

The utility model relates to a handheld infrared spectrum analyzer, which belongs to the technical field of infrared spectrum analyzers and comprises a handheld handle and a detection main body, the handheld handle is fixedly mounted at the bottom of the detection main body, a display screen is fixedly mounted at one end of the detection main body, and a translation driving component is arranged at the top of the detection main body. The translation driving assembly is fixedly connected with a detachable cleaning assembly, the handheld handle is provided with a ventilation assembly, the translation driving assembly comprises a rectangular transverse plate fixedly installed at the top of the detection body, the top of the rectangular transverse plate is provided with an installation groove, and a translation block is clamped in the installation groove in a sliding mode. If dust exists on the surface of the to-be-detected object, the dust on the surface of the to-be-detected object can be cleaned through the detachable cleaning assembly, the detection result is prevented from being influenced, in hot weather, ventilation can be conducted at the handheld handle, slipping is reduced, comfort is improved, and practicability is high.

The invention relates to a boiler operation parameter optimization method and system for multi-fuel combustion of multiple solid wastes, and the method comprises the following steps: (1) multi-source data collection: obtaining the heat value, the water content, the chlorine-sulfur ratio and the heavy metal content of the solid wastes in real time through a spectrum analyzer, a visual recognition system and an online sensor; (2) intelligent compatibility optimization: calculating a solid waste mixing ratio by adopting a genetic algorithm based on calorific value balance and pollutant inhibition targets, and controlling a Cl / S molar ratio to be 1.2-1.8 and the alkali metal content to be 1t; 50%; (3) pretreatment and drying: the water content gt; and carrying out microwave-steam combined drying on 25% of solid waste, and dynamically adjusting microwave power, steam injection time and the like. The method has the advantages that through the technical integration of multi-source data fusion, intelligent algorithm optimization and digital twinborn verification, a solid waste co-combustion full-process optimization system is constructed, and ultralow emission of pollutants and safe and economical operation are achieved while the energy utilization rate is increased.

The invention relates to an intelligent stair life prediction and maintenance method and system based on multi-sensor fusion, computer equipment and a storage medium. The method comprises the steps that a laser sensor is adopted to scan a stair to obtain a wear data set of the stair; based on at least one pressure sensor preset in each designated area of the stairway, a pressure data set of each designated area of the stairway is obtained; identifying the type of the stair material by adopting a spectrum analyzer to obtain a wear-resistant coefficient and a maximum wear depth corresponding to the type of the stair material; and constructing a life prediction operator, calculating the life of each specified region of the staircase through the life prediction operator, predicting the overall life of the staircase according to a calculation result, and calculating maintenance data of the staircase through a K-means clustering algorithm. By adopting the method, the wear depth, the pressure distribution and the material fatigue condition of the stairs can be monitored and evaluated in real time, and the service life prediction and maintenance analysis are carried out by combining an algorithm.

The utility model relates to the technical field of detection, and discloses a pump shaft detection tool for a multistage pump, which comprises a detection tool main body, a main fixed station, a pump shaft fixing device, a fixed station moving device, a self-propelled metal spectrum analyzer, a movable fixed station, a fixed turntable, an analysis display and an example pump shaft, a main fixing table is arranged on one side of the detection tool body, a movable fixing table is movably arranged on the other side of the detection tool body, a pump shaft fixing device is arranged above the main fixing table, a fixing table moving device is arranged above the detection tool body, and two sets of auxiliary wheels are arranged below the movable fixing table. The pump shaft can be conveniently fixed and detected through a simpler method, the length and diameter of fixed detection can be measured, the material of the pump shaft can be detected through a self-metal spectrum analyzer arranged on the pump shaft, and the material quality inspection effect can be achieved.

The utility model discloses a portable grain stillage component online near-infrared detection device which comprises an illumination unit, a quartz window, a spectrum acquisition unit and a spectrum analyzer, and the illumination unit forms an illumination light path by a light source, a focusing lens, a first optical fiber, a first collimating lens and a reflecting mirror in sequence; the spectrum acquisition unit forms an optical signal acquisition optical path by a condensing lens, a second optical fiber and a second collimating lens in sequence; the quartz window sheet is arranged on the illumination light path and the light signal acquisition light path; and the optical signal is transmitted to the spectrum analyzer. Due to the miniaturized design of the device, the device is convenient to carry and move and can be quickly deployed to different cellars for detection, and the detection flexibility and convenience are greatly improved. By optimizing the layout of the light source and the optical fiber, the size of the insertion end is reduced, so that the equipment is more easily inserted into the fermentation pit, and the applicability and practicability of the equipment are improved.