242 results about "Rapid scan" patented technology

The invention relates to the field of intelligent detection, and discloses a breakwater structure rapid scanning diagnosis method based on an unmanned aerial vehicle, and the method comprises the following steps: 1, collecting the multi-modal data of an overwater structure and an underwater structure of a breakwater through a sensor carried by the unmanned aerial vehicle; step 2, carrying out space-time alignment processing on the multi-modal data to generate fusion point cloud data; 3, constructing a multi-dimensional tensor representing damage features based on the fused point cloud data; step 4, uploading the damage classification result to a cloud; 5, dynamically adjusting the scanning path planning of the unmanned aerial vehicle according to the damage classification result and the real-time environment parameters; and 6, outputting a three-dimensional visualization result containing the damage position, the damage type and the emergency scheme. Through cross-medium cooperative acquisition of the millimeter wave radar, the sonar and the multispectral sensor, the coverage range and the information dimension of damage detection are expanded, and reliable data are provided for breakwater structure monitoring in a complex marine environment.

The invention discloses a fire-fighting non-destructive detection method based on multi-modal detection, and relates to the technical field of fire-fighting engineering, and the method comprises the following steps: carrying out the rapid scanning of fire-fighting equipment through an ultrasonic array, analyzing and positioning a suspected defect region based on a time domain reflection signal, and generating a three-dimensional coordinate mapping model; and performing multi-angle X-ray projection acquisition on the positioning area, and generating an internal structure cross-sectional image through a three-dimensional reconstruction algorithm. According to the fire-fighting non-destructive detection method provided by the invention, by integrating various technical means such as ultrasonic array scanning, X-ray tomography, thermal imaging analysis and microwave sealing detection, comprehensive and accurate identification of potential defects of fire-fighting equipment is realized, and the dimensionality and precision of defect detection are improved; the structural integrity of the equipment is kept to the maximum extent, extra risks caused by destructive detection are avoided, and the reliability and accuracy of detection are improved through a data fusion algorithm.

The invention relates to the field of man-machine interaction, and particularly discloses a multi-mode man-machine interaction application system for sky-eye insight based on a pathologist visual angle, which is characterized in that firstly, a candidate focus thermodynamic diagram is generated through rapid scanning of a full-slice image, low-power lens global browsing of a doctor is simulated, and the doctor is guided to lock a key area interactively through professional judgment; therefore, the processing efficiency of the oversized image is greatly improved. And then, the system only performs high-resolution deep analysis on the focus confirmed by the doctor, and performs multi-modal fusion on the extracted microscopic visual features and the patient text information to generate a preliminary report with an interpretable basis, so that the problem that the multi-modal function deviates from a clinical core task is solved. Finally, the doctor can check and finalize the report through visual interaction, and the dominant position and the final decision making right of the doctor in the diagnosis process are ensured, so that the bottlenecks of black box operation and low clinical acceptability of a traditional AI system are overcome.

The invention discloses a multi-modal large model hidden danger identification method and system based on feature retrieval enhancement, and relates to the technical field of computer vision. The method comprises the following steps: quickly scanning an input image through a lightweight target detection model, and positioning a hidden danger candidate area; performing feature retrieval in a pre-constructed standard hidden danger knowledge base based on the candidate region to obtain related standard hidden danger reference information; and the candidate region and the reference information are coded and fused and then input into a multi-modal large model, and a fine-grained recognition result containing hidden danger categories, position coordinates, confidence coefficients and professional text description is output. According to the method, a professional knowledge base retrieval mechanism and a multi-modal feature fusion technology are introduced, so that the problems of lack of professional knowledge and insufficient fine-grained discrimination ability in an existing hidden danger recognition method are effectively solved, and the recognition accuracy and the result specialty are improved while the detection efficiency is ensured.

The invention relates to shipbuilding flatness inspection equipment and a use method thereof, and belongs to the technical field of shipbuilding flatness inspection. The shipbuilding flatness inspection equipment comprises a magnetic adsorption type mobile robot platform, a high-precision vision module, an edge computing unit and a cloud data management platform; the magnetic adsorption type mobile robot platform is provided with a crawler-type walking mechanism and a self-adaptive vacuum adsorption unit. According to the invention, efficient and high-precision whole ship flatness intelligent detection can be realized through multi-sensor fusion and a self-adaptive robot platform, the system is suitable for real-time quality monitoring in ship body section construction, deck assembly and fitting-out stages, local fine scanning can be executed along a welding seam area in a ship body section detection scene, and the detection accuracy is improved. A welding deformation out-of-tolerance area is synchronously marked, a non-key plane area can be switched to a global rapid scanning mode, and in the deck assembly stage, a cloud platform can integrate data in real time and assist in carrying out an assembly dislocation correction scheme.

The invention discloses an automatic detection method and system based on the hidden crack characteristic of a photovoltaic module, and belongs to the technical field of automatic detection.The method comprises the steps that an unmanned aerial vehicle carries an infrared thermal imager, a polarization camera and a vibration sensor, heat distribution, surface texture and micro-vibration signals of the photovoltaic module are synchronously collected, and a multi-dimensional hidden crack characteristic data set is constructed; according to the method, the lightweight convolutional network is deployed on the unmanned aerial vehicle, local data processing and subfissure probability value output are realized, cloud dependence is reduced, delay is reduced, the subfissure probability value is weighted and calculated through the infrared thermal anomaly factor, the polarization texture anomaly factor and the edge sharpness factor, environmental noise is effectively suppressed, the detection accuracy is improved, and the detection efficiency is improved. A multi-angle reinspection task is inserted into a high-probability subfissure area, a low-risk area is quickly scanned, a medium-probability area is decided according to electric quantity and priority, when the number of reinspection areas is large, a global optimal path is recalculated, when high-probability subfissure is detected, the current path is interrupted immediately, the reinspection task is inserted, and delay is avoided.

The invention mainly relates to the related technical field of earth and rockfill dam leakage detection, in particular to an earth and rockfill dam leakage detection method based on combination of a transient electromagnetic method and a single-hole dilution method. A leakage hidden danger area is rapidly scanned and positioned through a transient electromagnetic method, a single-hole dilution method is guided to conduct drilling in a key area, and invalid drilling is reduced; on the basis of a traditional dilution curve model, a drilling radius correction factor and a non-Darcy effect correction term are introduced, and the output precision of a vertical seepage profile is remarkably improved; a quantitative mapping model of the resistivity inversion image and the seepage velocity is established, and quantitative conversion from physical detection data to hydraulic parameters is achieved; leakage channel space distribution is automatically extracted based on the image recognition technology, and rapid calculation of the total dam leakage amount is achieved.

The invention relates to the field of intelligent evaluation, and particularly discloses an urban old city community toughness evaluation method and system, and the method comprises the steps: firstly obtaining the multi-modal data of the toughness of a to-be-evaluated old city community, extracting the multi-modal characterization characteristics of the data of the toughness of the to-be-evaluated old city community based on a deep learning technology, and meanwhile, carrying out the evaluation of the toughness of the to-be-evaluated old city community; the method comprises the following steps: firstly, extracting a preset number of multi-modal characterization characteristics of evaluated old city communities and corresponding toughness level labels from a background toughness database, so as to construct an association representation of the toughness data characteristics of the evaluated old city communities and an evaluation result; through rapid scanning semantic query of toughness data characteristics of the old city community to be evaluated and the evaluated old city community, toughness grade evaluation of the old city community to be evaluated is realized. Thus, through effective utilization of historical evaluation cases, the problem of insufficient similarity and difference analysis among different communities can be effectively solved, confusion among categories is reduced, and the consistency and accuracy of evaluation results are improved.

The invention relates to the technical field of wireless communication, and provides a vehicle-mounted satellite phased-array antenna and a beam forming method thereof, and the phased-array antenna comprises a plurality of antenna units and T / R assemblies which are correspondingly connected. The feed network is used for distributing signals from the beam forming network to each T / R component; and the beam forming network is used for calculating and distributing a phase to each T / R component, and adopting an adaptive beam forming algorithm to control the direction of a beam by adjusting the phase, so that the beam points to a required satellite or other targets. The phased-array antenna can form a plurality of transmitting wave beams and receiving wave beams with different directions through wave beam conversion in a repetition period, has rapid scanning agility capability, can change an antenna pattern function or an antenna wave beam shape through adjusting signal amplitude and phase in each unit channel in the phased-array array, and improves the antenna performance. The reliability is improved by omitting a mechanical driving system, and even if some nodes are damaged, the use of the whole function is not affected.

The invention relates to the technical field of dam termite prevention and control in water conservancy and hydropower engineering, in particular to a dam termite nest positioning method and detection equipment based on intelligent multi-mode fusion, which utilizes technologies such as geological radar, infrared thermal imaging, RTK (Real Time Kinematic) and GPS (Global Positioning System) positioning and is assisted by a machine learning algorithm to carry out data processing. An infrared thermal imaging camera carried by a crawler chassis is used for rapidly scanning the surface of a dam and finding out temperature abnormal points which may be termite activity areas, an underground high-resolution image is further obtained through a carried ground penetrating radar, meanwhile, coordinate information of the areas is collected, a high-precision dam area map is combined, and the termite activity area is obtained. The termite nest position is further accurately confirmed; by means of the method, the accuracy and efficiency of dam termite nest positioning can be remarkably improved, meanwhile, the environmental pollution risk caused by a traditional method is reduced, and the method is beneficial to protection of safe and stable operation of a water conservancy project and makes a contribution to environmental protection.

The invention discloses a valve body laser cutting device and method. The method comprises the steps that low-duty-ratio pulse scanning is conducted on the outer wall of a valve body to generate a guide groove with a surface tension gradient and corrugated textures; spraying inner and outer double-layer pulse airflow according to the characteristics of the guide groove, and respectively forming a periodic negative pressure cavity and positive pressure barriers on two sides at the bottom of the groove; spiral track continuous laser cutting is executed under the action of double-layer airflow, transverse ultrasonic waves forming a three-to-four resonance relation with inner-layer pulse airflow are applied, standing wave diversion is established on the surface of a molten pool, and a kerf penetrating through the wall thickness is obtained; when the kerfs are cut through, the airflow is synchronously switched into negative pressure suction, and ultrasonic waves are changed into traveling waves so as to remove residual molten drops; and low-power rapid scanning is conducted on the inner wall of the kerf through waste heat of the valve body, pulsating inert airflow is injected at the same time, and the residual film is alternately stripped through laminar flow and micro-turbulent flow. According to the scheme, under the condition that extra cooling or chemical treatment is not added, slag rewinding can be restrained.

A high-temperature and high-pressure core displacement test system includes a CT scanner configured to perform CT scanning, a gripper system configured to grip a core, a machine tool configured to move the gripper system to the CT scanner for CT scanning, a gripper load control system configured to heat and input a fluid into or / and receive a fluid output from the gripper system, and an acquisition and data analysis system configured to acquire a temperature and a pressure within a core gripping cavity, and detection data of the CT scanner and strain rosettes for analysis. According to the high-temperature and high-pressure core displacement test system and method, the strength of the gripper system in a high-temperature and high-pressure environment is improved, the projection performance of CT rays is ensured, and the optical fiber positioning precision and the core deformation measurement precision in a CT rapid scanning state are improved.

The invention relates to a high-angular-resolution atmospheric detection laser radar acquisition and control system, and belongs to the technical field of atmospheric detection laser radar data acquisition. The system comprises an ARM main control module, an acquisition card and a scanning module, wherein the ARM main control module is internally provided with a multi-core CPU (Central Processing Unit), and when the system runs, a data reading process, a data processing process and a data storage process are respectively distributed to different cores of the multi-core CPU for parallel execution; the ARM main control module is used for issuing an instruction to the acquisition card and reading a hardware accumulation result of the acquisition card for processing and storing; the scanning module is controlled by the ARM main control module to perform continuous scanning; and the acquisition card is used for performing high-angle-resolution acquisition on aerosol observation data obtained in the continuous and rapid scanning process of the scanning module according to an instruction of the ARM main control module. According to the invention, the real-time monitoring capability of aerosol space-time distribution in a complex atmospheric environment is improved.

The invention provides a multi-focus excitation confocal fluorescence microscopic imaging flow cytometry screening method. The method is characterized in that a laser beam generates three laser beams through a spatial light modulator, and the three laser beams are coherently superposed in a focal plane of a microscope objective to generate a two-dimensional optical lattice light field. And after the other laser beam is shaped by the cylindrical lens, linear laser optical tweezers are realized through the microscope objective, cells to be detected in an imaging detection area of the micro-flow chip are captured, and accurate active optical control on the rotation angle of the cells to be detected is realized. In a cell rotation process, a two-dimensional optical lattice light field rapidly scans in a focal plane at different angles, and a fluorophore in the cell is excited to generate a fluorescence signal. The confocal pinhole array installed at the position conjugate with the focal plane eliminates background fluorescence, a high-spatial-resolution fluorescence image of a three-dimensional structure in the cell is obtained, and cell screening is achieved. The method provided by the invention has the characteristics of high detection rate, high accuracy and the like, and has wide application prospects in the research fields of biology, medicine and life science.

The invention discloses an automatic defect detection system and method based on unsupervised learning, and belongs to the technical field of automatic detection. The method comprises the following steps: S1, collecting data including image data, temperature and humidity data and vibration data; s2, carrying out preprocessing and feature extraction on the collected data; s3, performing defect detection on the extracted feature data by adopting a trained YOLOv4 model and a trained Faster R-CNN model to obtain the type and the position of a defect; s4, performing corresponding execution and / or feedback operation according to the detected defect type and position; in the step S3, the image is quickly scanned by using a YOLOv4 model to generate a large number of candidate frames; inputting the candidate box into a Faster R-CNN model to further screen out a high-quality candidate region, and performing fine classification and bounding box regression; and results of the two models are fused to obtain a final detection result. The method can insight in fine defects which are difficult to capture by a traditional algorithm, and the accuracy and reliability of detection are remarkably improved.

The invention provides a pollen image rapid scanning method under a high-magnification microscope based on retrieval guidance of a low-magnification microscope. The method comprises the following steps: firstly, rapidly scanning a 1000 mm < 2 > region under a whole cover glass through a low-magnification microscope, identifying pollen particles possibly existing in the region, and establishing a prior distribution diagram; and then, in a high-power microscope scanning stage, fine imaging is only carried out on the pollen of the potential target areas, and the areas which are confirmed to be blank are quickly skipped. Compared with a traditional full-area high-power microscope scanning scheme, the intelligent scanning method based on low-power microscope guidance can remarkably reduce invalid imaging time and improve the overall detection efficiency.

The utility model discloses a trolley for rapidly scanning a rail bottom. The trolley comprises a frame assembly, a rotating assembly, an ultrasonic flaw detector host, a coupling liquid barrel and a battery assembly, the rotating assembly can be rotationally connected with the two sides of the bottom of the frame assembly; the ultrasonic flaw detector host is connected to the frame assembly and is connected with the water wheel of the rotating assembly; the coupling liquid barrel is connected with the frame assembly and connected with the spray head body on the rotating assembly. The battery assembly is connected with the frame assembly and the rotating assembly. The utility model has the beneficial effects that the use is more efficient and more convenient; damage identification can be performed on the inner and outer rail bottoms of the steel rail at the same time; the rail bottom rapid scanning trolley is a beneficial supplement for steel rail flaw detection, improves all-directional recognition of the damage condition of the whole steel rail, and improves the detection efficiency and the recognition rate.

According to the embedded rapid scanning system, a detection device is vertically arranged on an installation support, the installation support is fixed to the position above a production line through two stand columns, an antenna can be placed on the production line after being produced and flows backwards, and when the antenna flows to the position below the detection device, the detection device is based on the near-field scanning and far-field conversion technology; the device transversely moves above an antenna radiation surface, samples a near field, measures amplitude and phase values of an oscillator, can also convert the amplitude and phase values into a vertical plane far-field directional diagram, extracts radiation parameters, is simple and rapid in test process, takes a production line as a workbench, does not need to be additionally provided with a workbench, reduces the size, is embedded in the production line, and improves the test efficiency. And when one antenna is tested to be unqualified, interception can be directly carried out, so that the yield of products is ensured.

The invention relates to the technical field of software security, and particularly discloses a real-time vulnerability detection and repair system of an AI code generation model. The system comprises a central coordinator, a real-time monitoring module, a deep analysis module, an intelligent repair module and a feedback learning module. The real-time monitoring module rapidly scans and triggers the generated codes; the deep analysis module performs interprocess stain analysis on the trigger code to generate a diagnosis report containing a precise data flow path; the intelligent repair module generates a repair patch under the function equivalence constraint according to the diagnosis report; and the feedback learning module collects the processing feedback of the developer on the repair patch, and drives the continuous optimization of each module of the system. According to the method, through layered progressive analysis and repair generation, the repair accuracy and the function safety are ensured; through a feedback learning mechanism, the self-adaptive evolutionary ability of the system is realized, the problems of unavailability of repair suggestions and static stiffness of the system in the prior art are solved, and real-time protection is provided for AI auxiliary programming.

The invention discloses a GDMD Lamb wave structure nondestructive testing method for rapid scanning, and relates to the technical field of Lamb wave structure nondestructive testing, and the method specifically comprises the steps: 1, collecting low signal-to-noise ratio Lamb wave excitation echo data, carrying out the analysis of the collected signal in a frequency domain, and obtaining a GDMD Lamb wave structure nondestructive testing result; the method comprises the following steps of 1, setting a signal decomposition process, 2, setting an initial group delay curve of each Lamb wave mode, and carrying out iteration by adopting a GDMD algorithm, and 3, analyzing each decomposed component mode, extracting a defect echo mode, and further carrying out time delay analysis to determine a defect position. By fitting and compensating dispersion characteristics of different modes, accurate separation of the modes is achieved, even under the conditions that frequencies of the different modes are overlapped and the signal-to-noise ratio is extremely low, defect echoes can be effectively extracted, and dependence of a traditional filtering method on prior statistical characteristics is avoided.

The invention discloses a preparation method and application of an electrochemical biosensor for dynamically monitoring Cyt c in tumor cells based on fast scanning voltammetry. The preparation method is characterized by comprising the following steps: 1) preparing a PtNE nano electrode; (2) preparing the PtNE / Apt nano electrochemical biosensor; and (3) accurately puncturing the PtNE / Apt electrode into cytoplasm of a single Hela cell through a three-dimensional micro-control system, so that Apt and intracellular Cyt c are specifically combined and subjected to conformational change, and 3 '-end modified Fc is close to the surface of the electrode, thereby generating a remarkable electrochemical signal. The change of Fc redox peak current is dynamically monitored through fast scanning voltammetry, the quantitative relation between the Cyt c concentration and the peak current is established, and the relation between the Cyt c concentration and the cell activity is monitored according to the quantitative relation. The device has the advantages of high sensitivity, excellent anti-interference capability and remarkable signal amplification effect.

The invention relates to the technical field of ultrasonic flow meters, and discloses an ultrasonic flow meter which comprises an ultrasonic meter head and a meter shell used for detecting flow, one side of the ultrasonic meter head is connected with a chuck through a flange, and a pipe body to be detected is clamped in the ultrasonic meter head; the meter shell is used for detecting the flow in the pipe body to be detected; a detection assembly is embedded in the ultrasonic meter head, the detection assembly comprises a detection ring, and the detection ring is embedded in the ultrasonic meter head. According to the invention, the rotatable detection assembly is arranged, and the shifting sheet is used for driving the rotating ring to drive the detection ring and the ultrasonic probe to rotate along the axial direction of the to-be-detected pipe body, so that defect areas such as pipe wall recesses and bulges can be quickly scanned and automatically avoided, and the optimal detection position can be accurately locked without repeatedly disassembling and assembling equipment; and the convenience of clamping operation and the detection efficiency are remarkably improved.

The invention discloses a wide-spectrum rapid scanning and intelligent identification method, system and device, and the method comprises the steps: firstly, carrying out the rapid frequency sweeping through employing a low-sampling-rate and low-quantization-precision receiver, generating a low-resolution time-frequency graph, and recovering the super-resolution of the low-resolution time-frequency graph into a high-resolution spectrum through a pre-trained deep learning model; then, the enhanced time-frequency image is segmented into time-frequency blocks, global features are extracted through a Transform encoder, and detection and screening of multiple candidate signal areas are achieved; and finally, carrying out directional sampling on the candidate region, respectively extracting time domain and frequency domain features, mapping the time domain and frequency domain features to a unified space for fusion, and completing signal category judgment based on the combined features and a judgment network. According to the wide-frequency-spectrum rapid scanning and intelligent identification method, system and device, through a layered architecture of broadband rapid scanning-frequency spectrum quality recovery-multi-region detection-directional sampling and time-frequency fusion identification, the reliability of unmanned aerial vehicle signal detection and identification in a complex electromagnetic environment is improved while the hardware cost is reduced.

The invention discloses a laser telemetering two-dimensional scanning imaging device and a method thereof, and relates to the field of gas spectrum detection. Through two-dimensional intermittent scanning, concentration field measurement of a scene is realized, and rapid leakage diagnosis and evaluation and rapid positioning of a leakage point can be realized. In the concentration measurement process, laser spots are static, motion noise cannot be introduced, and the concentration measurement accuracy is improved; intermittent movement of light spots is achieved through optical modulation, a complex intermittent movement mechanism is not needed, the cost is more economical, and the service life is longer; in the two-dimensional scanning process, a mechanical scanning device does not need to be started and stopped frequently, time consumption caused by the acceleration and deceleration process of motion is reduced, the frame rate of system scanning is improved, and rapid scanning of the high-dynamic gas cloud is achieved.

The invention discloses a metal internal defect rapid imaging detection method based on frequency domain interpolation and laser ultrasound, and belongs to the field of laser ultrasound nondestructive testing. The method comprises the following steps: firstly, carrying out large-interval rapid scanning on a local area of the surface of a tested piece by utilizing laser ultrasound, obtaining a group of ultrasonic body wave time domain signals with the number of x at different positions of the surface of a material, and then carrying out two-dimensional Fourier transform on the obtained time domain signals to obtain a frequency-wave number two-dimensional signal matrix; zero filling is carried out on a high-frequency part in the frequency domain, and then two-dimensional inverse Fourier transform is carried out to obtain interpolation to obtain a group of n time domain signal matrixes (n is gt; and finally, carrying out synthetic aperture imaging processing on the interpolated time domain signal to obtain a high-resolution synthetic aperture imaging result. According to the invention, for metal internal defect detection and imaging, the problems of long time consumption, large required data volume and the like of traditional laser ultrasonic synthetic aperture detection can be effectively solved, and the laser ultrasonic synthetic aperture detection efficiency and the imaging resolution are greatly improved.

The invention discloses ground-to-air laser radar detection equipment, a detection method and a storage medium, and relates to the technical field of optical detection. The equipment comprises a laser transmitting module, an echo receiving module and an information processing module, the laser transmitting module comprises a laser, a scanning galvanometer unit and a scanning rotating mirror unit, the scanning galvanometer unit is used for controlling a longitudinal scanning angle, the scanning rotating mirror unit is used for controlling a transverse scanning angle, and a pulse signal transmitted by the laser sequentially passes through the scanning galvanometer unit and the scanning rotating mirror unit and then enters a to-be-measured airspace; the echo receiving module is used for receiving an echo signal of a to-be-detected airspace; and the information processing module is used for calculating return point coordinate information of the target object in the airspace to be measured according to the transmitting time of the pulse signal, the receiving time of the echo signal, the transverse scanning angle and the longitudinal scanning angle, and generating a three-dimensional point cloud image of the target object based on the return point coordinate information. The device provided by the invention is simple in structure, can scan quickly, and realizes point cloud three-dimensional imaging with a wide viewing angle.

This invention belongs to the field of optical precision testing technology, and provides a method and system for three-dimensional detection of mirror defects using combined bright-field and dark-field imaging. The method includes: rapidly scanning the surface of the component under test using a bright-field imaging system; identifying defects and obtaining their location coordinates using a rapid defect detection algorithm; based on the defect location coordinates, switching to a dark-field microscopy system to image the defect area and acquiring both in-focus and out-of-focus images; performing a second precise determination of the defect; and calculating the length and width parameters of the defect using a precise measurement algorithm; reconstructing the three-dimensional morphology of the defect using the in-focus and out-of-focus images combined with a phase retrieval algorithm based on the light intensity transmission equation, thereby completing the three-dimensional measurement of the mirror defect. This invention enables rapid and accurate three-dimensional measurement of defects.

1. Name of the design product: millimeter wave human body security inspection equipment. 2. Use of the design product: the design product belongs to security inspection equipment, and is used for non-contact rapid scanning on the surface of human body. 3. Design points of the design product: in shape. 4. Picture or photo best indicating the design points: assembly 1 perspective view 1.

The invention belongs to the technical field of spectral analysis and catalytic reaction monitoring, and particularly relates to a rapid scanning detection method and device based on flow stopping and in-situ infrared combination.The device comprises an infrared spectrometer, a signal sending module, a control module and a reaction module, and the reaction module is used for providing a heterogeneous reaction site; the infrared spectrometer is used for monitoring the reaction in the reaction module, the signal sending module is connected with the infrared spectrometer through the control module to control starting and stopping of scanning of the infrared spectrometer, and the signal sending module is further used for receiving and analyzing infrared signals collected by the infrared spectrometer; the reaction module comprises a crystal table, the crystal table is located in a test light path of the infrared spectrometer, a catalyst film is arranged on the upper surface of the crystal table, a buffer layer is arranged on the surface of the catalyst film, and a sample injector is arranged above the buffer layer and used for injecting a reaction solution into the surface of the buffer layer. According to the invention, intermediates and reactants of a solid-liquid interface can be synchronously collected and tracked.

The invention provides a seamless steel tube closed-loop processing method based on online in-situ monitoring, which comprises the following steps: when a steel tube reaches a preset online in-situ monitoring station, imaging and identifying the surface of the steel tube through a high-resolution visual system, and planning a plurality of microscopic detection stations; carrying out multi-mode rapid scanning on the surface of the steel pipe by utilizing an atomic force microscope at each microscopic detection site, extracting microscopic characteristic parameters in real time, and forming a microscopic fingerprint data packet of the current steel pipe; inputting the microscopic fingerprint data packet into a pre-trained process inversion model to generate a process adjustment instruction; and the process adjustment instruction is issued to a corresponding execution mechanism in real time through a production line control system, the machining parameters of the current steel pipe or the subsequent steel pipe are adjusted, and microcosmic quality closed-loop control is formed. According to the technical scheme provided by the invention, the crossing from fixed process machining to self-adaptive microstructure regulation and control machining is realized, and the microstructure consistency and the machining precision of the seamless steel tube are improved.