315 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 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.

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 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 hazardous chemicals, in particular to a hazardous chemical accident site non-contact gas detection device and detection system, the device comprises a controller, an infrared spectrum analyzer, a differential spectrum analyzer and a control unit; the hazardous chemical substance gas is subjected to field detection and sample collection in a non-contact manner, so that detection result deviation caused by field gas diffusion due to non-timely detection can be effectively prevented; according to the invention, the diffused gas can be subjected to multi-angle omnibearing detection, so that the detection effect is ensured; in addition, the system also comprises an infrared spectrum imaging acquisition system and a differential spectrum detection system in the infrared spectrum analyzer and the differential spectrum analyzer, an Internet of Things technology intelligent analysis system, a command center equipped data processing module, a user terminal data sending module and a user mobile terminal. Infrared spectrum image data and differential spectrum data of collected gas and an evaluation result can be transmitted to a user mobile terminal in real time.

The utility model belongs to the field of spectral measurement, and particularly discloses a spectrum analyzer based on an infrared single-point detector, which comprises a slit, a collimating mirror, a grating, a condensing mirror, a linear motor and the infrared single-point detector, the slit is used for guiding in light to be measured; the collimating mirror is arranged on a light path of the slit leading-in light and is used for collimating the slit leading-in light and then reflecting the light; the grating is arranged on a light path of reflected light of the collimating mirror and is used for reflecting the reflected light of the collimating mirror at different diffraction angles; the condenser mirror is used for focusing the reflected light of the grating at different spatial positions; and the infrared single-point detector is connected with the linear motor and is used for moving under the driving of the linear motor, so that the light intensity at different spatial positions is measured, and the measurement of the light spectrum to be measured is further realized. According to the spectrum analyzer provided by the invention, the cost can be greatly saved, and the spectrum resolution can be effectively improved.

The invention discloses a vernier-sensitized optical fiber microcavity magnetic field measuring device and method, and relates to the technical field of optical fiber magnetic field sensing. The device comprises a broadband light source, an optical fiber coupler, an optical fiber microcavity magnetic field sensor and a spectrum analyzer, the broadband light source is used for providing a detection light signal; the optical fiber coupler is used for transmitting the detection optical signal to the optical fiber microcavity magnetic field sensor; the optical fiber microcavity magnetic field sensor detects external magnetic field change information based on an optical fiber Fabry-Perot microcavity principle to obtain a total reflection light signal; the optical fiber coupler is also used for transmitting the total reflected light signal to the spectrum analyzer; the spectrum analyzer demodulates the total reflected light signal and realizes magnetic field measurement based on an optical vernier effect theory; the magnetic field intensity response is used for representing the relation between the wavelength drift amount enveloped by the vernier spectrum and the external magnetic field intensity. The invention aims to realize high-precision magnetic field measurement.

The invention discloses an optical fiber magnetic fluid magnetization intensity measuring device and method, and relates to the technical field of optical fiber sensing. The device comprises a broadband light source, an optical fiber circulator, a sensing head, a magnetic field regulation and control device and a spectrum analyzer, wherein the sensing head comprises a first single-mode optical fiber, a hollow-core optical fiber, a UV adhesive film, a second single-mode optical fiber and a quartz tube. The broadband light source emits a detection light signal; the optical fiber circulator transmits a detection optical signal to a first single-mode optical fiber of the sensing head; the magnetic field regulation and control device applies a directional magnetic field to the sensing head; the sensing head determines an interference spectrum of the magnetic fluid to be detected according to the detection light signal and the directional magnetic field; the interference spectrum is determined based on a reflected light signal reflected by a Fabry-Perot interferometer; and the spectrum analyzer receives and demodulates the interference spectrum to obtain the magnetization intensity of the magnetic fluid to be detected. According to the invention, accurate measurement of the magnetization intensity of the magnetofluid can be realized.

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 utility model discloses a spectrum analyzer convenient to move, which comprises a base, wherein a machine body is fixedly arranged at the upper end of the base; the second fixing rods are arranged at the front end and the rear end of the lower portion of the two sides of the machine body, the second fixing rods are fixedly connected with the machine body, damping rotating shafts are arranged outside the second fixing rods, the damping rotating shafts are fixedly connected with the second fixing rods, and mounting rods are fixedly arranged outside the damping rotating shafts; the telescopic groove is formed in the mounting rod, extension rods are arranged in the telescopic groove and are in sliding fit with the telescopic groove, one end of each extension rod extends to the outer portion of the telescopic groove, a holding rod is arranged between the extension rods on the two sides, and the holding rod is fixedly connected with the extension rods on the two sides; according to the structure, the problems that the spectrum analyzer is not convenient to move and is not stable enough to place are solved.

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.