252 results about "Optical spectrum analyzer" patented technology

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 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 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 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 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 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 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 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.

The invention relates to the technical field of spraying processes, and discloses an accurate oil distribution method and system for matte spraying, and the method comprises the steps: collecting data through a spectrum analyzer, a color difference meter and an environment temperature and humidity sensor, carrying out the dimension reduction of high-dimensional data to construct a spectral feature vector, and predicting an initial oil distribution ratio through a multi-layer perceptron model; a spraying process rheological characteristic coupling model is constructed based on a measurement result of a dynamic rheometer, oil distribution and spraying parameters are optimized by adopting an improved particle swarm optimization algorithm, and finally, real-time feedback control is realized through a fuzzy PID (Proportion Integration Differentiation) controller. The system comprises a data acquisition module, an oil distribution prediction module, a coupling modeling module, an optimization module and a real-time control module, and all the modules work cooperatively to achieve full-process automation. According to the invention, the precision of matte spraying oil distribution is improved, the environmental adaptability is enhanced, the process synergy is optimized, and the product quality stability and the production efficiency are improved.

The invention relates to the technical field of electroplating process intelligent monitoring, in particular to an electroplating process intelligent monitoring and executing system which comprises an electroplating bath. The sensing unit for monitoring is arranged in the electroplating bath, the sensing unit for monitoring comprises a probe group, an infrared thermal imaging module, a current density detector and a spectrum analyzer, and the probe group comprises a PH value detection probe, an ORP detection probe and a conductivity detection probe. The sensing unit for monitoring is used for collecting the PH value, ORP, conductivity, temperature field distribution, current density and metal ion concentration of the electroplating bath in real time; the calculation unit is in communication connection with the sensing unit for monitoring, and the calculation unit receives a signal of the sensing unit for monitoring and generates a control instruction; and the intelligent feedback unit is in communication connection with the calculation unit, and the intelligent feedback unit receives a signal of the calculation unit and executes the control instruction.

The invention discloses a temperature and hydrogen concentration dual-parameter synchronous detection system and method, and the system comprises an ASE broadband light source, the output of the ASE broadband light source is divided into two paths through a coupler, one path enters a first circulator, the other path enters a second circulator, the output of the first circulator enters a first FBG sensor, the output of the second circulator enters a second FBG sensor, and the output of the first FBG sensor enters a second FBG sensor. The two FBG sensors are arranged in the gas chamber, the first FBG sensor and the second FBG sensor are provided with FBG topological optical fiber structures with different working wavelengths and have temperature sensitivity and gas selective response, and reflected signals of the two FBG sensors are coupled to one path through the dual-channel wavelength division multiplexer and are sent to the spectrum analyzer for wavelength demodulation. The temperature sensitivity and the gas selective response are integrated in the same sensing unit by utilizing the wavelength coding characteristic of the fiber bragg grating, so that precise decoupling and real-time output of double parameters are realized, and the detection efficiency and the data consistency are improved.

The invention discloses an intelligent bone fracture plate integrated with an optical fiber Fabry-Perot sensor and a healing monitoring method. The system comprises an intelligent bone fracture plate module, an in-vitro detection module and a data analysis module. The intelligent bone fracture plate module mainly comprises a bone fracture plate body, a diaphragm type optical fiber Fabry-Perot sensor packaged in a U-shaped groove in the bone fracture plate, and a subcutaneous coupling capsule connected through a leading-out optical fiber. The sensor converts mechanical strain of the bone fracture plate into optical signal change of the Fabry-Perot cavity. The in-vitro detection module is in wireless optical coupling with the subcutaneous coupling capsule through an external read-write equipment head of the in-vitro detection module, probe light is emitted, interference light signals are received and reflected, and the strain of the bone fracture plate is calculated through a spectrum analyzer / detector. And the data analysis module converts the strain data into a key load sharing ratio. By monitoring the trend that the ratio gradually decreases from the postoperation along with time and comparing the trend with a preset clinical threshold value, objective, quantitative, dynamic and non-invasive monitoring of the fracture healing process is achieved.

The invention discloses a micro double-arm vector sensor and a preparation method thereof, and belongs to the technical field of optical fiber sensing. According to the technical scheme, the micro double-arm vector sensor comprises a broadband light source, a first single-mode optical fiber, a second single-mode optical fiber, a first coupling point, an interference arm with a core shift structure, a sensing arm, a second coupling point, a third single-mode optical fiber, a fourth single-mode optical fiber and a spectrum analyzer. The Mach-Zehnder interferometer has the advantages that a micro-double-arm Mach-Zehnder interferometer is formed on the basis of a core shift structure, an asymmetric structure is formed, light transmitted in the asymmetric structure is more sensitive to changes of the bending size and direction, and the vector bending sensitivity is high. Meanwhile, an online Mach-Zehnder interferometer needs to introduce a special optical fiber with high price in order to monitor the vector bending, and the structure only needs a single-mode optical fiber with low price, and is more suitable for batch production.

1. The name of the design product: spectrum analyzer (Korui Mini). 2. The use of the design product: qualitative and quantitative analysis of material elements. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

This invention discloses a method and system for measuring the frequency response of an electro-optic modulator based on a spectral analyzer. The system includes a laser, a 95:5 single-mode fiber splitter, an optical power meter, an electro-optic modulator, a control power supply, an RF signal generator, and a spectral analyzer. The measurement method includes the following steps: calculating a calibration factor to correct optical power drift through optical path splitting, driving the modulator by applying several discrete single-frequency RF points, and measuring the carrier power P0(f) using the spectral analyzer. i ) and the first-order sideband power P1(f i ), and determined by the power ratio R(f) i )=10 (P1‑P0) / 10 Combining the Jacobi–Anger expansion / Bessel function relation, the phase modulation index β(f) is solved by inverse solution. i Then, the phase transfer function H(f) at each frequency point is calculated and fitted. i The continuous frequency response S of the modulator is obtained. 21 This invention simplifies the testing process, reduces reliance on high-speed photodetectors and vector network analyzers, and enables high-precision electro-optic response testing of electro-optic modulators at high frequencies.

The invention relates to the technical field of spectrum analyzers, and discloses a rotary adjustment type spectrum analyzer which comprises a spectrum analyzer body. The fixed cover is arranged, the driving gear rotating in the fixed cover is meshed with the half gear, the angle of the display screen connected with the fixed cover can be accurately adjusted, and different observation requirements are met; a guide roller in the rotation center of the half gear is attached to an ejector rod on the back face of the display screen, when a pressing rod in the center of a driving gear is pushed, a push rod can be driven to enable a friction plate to be separated from a fixing base, the half gear is unlocked, the guide roller can be driven by a synchronous plate to move synchronously, and the display screen is guided to retract inwards through a slope on the guide roller. The risk that the display screen, the fixing cover and other components are scratched in the later angle adjusting process is fundamentally reduced; and after adjustment is completed, the friction plate is attached to the fixing base again, the position of the half gear can be stably positioned, it is ensured that the display screen is kept at the adjusted angle, and adjustment convenience, the protection effect and positioning stability are all considered.

The invention discloses a high-precision spectrum analysis and detection device for bioengineering inspection, and belongs to the technical field of bioengineering inspection, the high-precision spectrum analysis and detection device comprises a high-precision spectrum analyzer main body, and the front side of the high-precision spectrum analyzer main body is provided with an inspection cavity; according to the technical scheme, through the arrangement of the electric push rod, the base plate, the motor, the rotating seat, the top plate and other structures, multiple groups of sample detection boxes can be directly arranged around the top plate in bioengineering inspection, then a worker can adjust the distance between a sample and an infrared light source through the electric push rod, and then the motor is controlled to drive the detection boxes on the top plate to rotate; in the rotating process of the detection box, spectrum detection analysis can be sequentially carried out on biological samples in the detection box passing through the infrared light source, the samples do not need to be repeatedly replaced by personnel, the detection work of multiple groups of samples can be completed at a time, the working efficiency is improved, and the operation is simplified; and the detection accuracy is effectively prevented from being influenced by long-term external environment of the sample.

The invention provides a color box printing system based on dual induction, and belongs to the technical field of color box printing. Comprising an optical sensing module which is used for collecting optical information of a printing pattern and monitoring the printing quality in real time; the optical sensing module internally comprises a high-resolution color camera, a spectrum analyzer and an image acquisition card, the high-resolution color camera is used for shooting a printed pattern to obtain pattern detail information, and the spectrum analyzer is used for analyzing spectrum information of the printed pattern to detect color related indexes; and the image acquisition card is used for transmitting image data shot by the high-resolution color camera and spectral data analyzed by the spectrum analyzer. Through cooperation of all structures in the optical sensing module, the pressure sensing module and other modules, real-time collection and monitoring of printing pattern optical information are achieved, and the purpose of guaranteeing the printing quality is achieved.

The application discloses a kind of based on functional echo wall mode optical microbottle cavity Full light tuning controllable optical comb generation method. Including 1550nm narrow line width continuous wave laser, single-mode optical fiber, erbium-doped fiber amplifier, polarization controller, optical isolator, functional microbottle cavity-fiber taper coupling system, optical attenuator, optical spectrum analyzer and 1550nm power adjustable laser. The unique axial characteristics of echo wall mode microbottle cavity are used, the free spectral range of microcavity is reduced, the axial mode microcavity optical frequency comb with small free spectral range is generated, and based on full light tuning method, functional microbottle cavity is prepared, and the axial mode microcavity optical frequency comb generated is tuned by photo-thermal material titanium dioxide, and significant spectral range tuning is realized. The application solves the limitation that WGM microcavity optical frequency comb cannot be effectively tuned due to large free spectral range, and helps the practical application in the field of microcavity optical frequency comb optical communication, optical frequency synthesis and the like.

An optical signal amplifier using a praseodymium doped fiber is described. The optical signal amplifier includes a signal laser, a first optical isolator, a second optical isolator a pump laser, a wave division multiplexer, a silica based glass optical fiber, a second optical isolator, an optical power meter, and an optical spectrum analyzer (OSA). The signal laser generates a signal laser beam. The pump laser generates a pumped laser beam. The wave division multiplexer combines the signal laser beam and the pumped laser beam and generates a combined laser beam. The silica based glass optical fiber has a preferred concentration of praseodymium ions of about 50×1024 ions / m3 and a length of about 5.7 m. The silica based glass optical fiber receives the combined laser beam, amplifies photons in the combined laser beam, and generates an amplified laser beam.

The present invention relates to the field of superluminescent diode manufacturing, and discloses a coaxial superluminescent diode automatic coupling stage equipped with a spectral analyzer, including a coaxial SLD automatic coupling stage cabinet. At the bottom end inside the coaxial SLD automatic coupling stage cabinet, there is an automatic coupling stage main unit. On both sides above the automatic coupling stage main unit, an optical power meter and a spectral analyzer are installed. In this invention, when the spectral data is unqualified, the drive current is automatically increased in a set step size, but does not exceed the maximum operating current of the set die, until both are qualified and enter the sealing and soldering process. When increasing the drive current and the output power exceeds the maximum upper limit, the coupling efficiency needs to be automatically reduced until both are qualified and enter the sealing and soldering process. After the coaxial SLD automatic coupling stage is equipped with a spectral analyzer, it realizes synchronous testing and synchronous screening of the output optical power and spectral characteristics, improves production efficiency, and executes a compensation program according to the spectral data to improve the product qualification rate.

The present disclosure concerns a portable spectrometer analyzer, comprising: a housing; a vial receptable provided in the housing and being configured to receive a vial containing a sample fluid; a light source mounted within the housing and positioned to emit light into the vial to contact the sample fluid and produce sample-affected light; a spectrometer sensor mounted within the housing and positioned to receive or capture the sample-affected light and generate sensor data; and a processor mounted within the housing and configured to: receive the sensor data from the spectrometer sensor; perform an evaluation of the sensor data with respect to a predetermined analysis model. Methods of calibrating a portable spectrometric analyzer, of obtaining spectrometric and colorimetric measurements and of manufacturing a portable spectrometer analyzer are also concerned.