24 results about "Plasma parameter" patented technology

The application provides a kind of electric thruster beam plasma parameter characteristic diagnostic system and method, it is related to plasma diagnostic field, the system includes vacuum chamber, for accommodating electric thruster and providing vacuum environment;Optical fiber signal acquisition module is set to the inside of vacuum chamber, for from multiple angles acquisition optical signal of the beam plasma generated by electric thruster;Image acquisition module is set to the outside of vacuum chamber, with optical fiber signal acquisition module light path connection, for receiving optical signal and converting into two-dimensional image time sequence;Data processing module is connected with communication with image acquisition module, for processing two-dimensional image time sequence, to reconstruct the four-dimensional distribution of the parameter of beam plasma.The application realizes low disturbance, low cost multi-parameter synchronous diagnosis by means of calibration optical fiber, light splitting filter and inversion process, improves efficiency and resolution.

This application relates to the fields of plasma applications and automation technology. It discloses a plasma parameter control system, method, equipment, and medium. The system includes: plasma, a plasma parameter acquisition device, a control module, and a modular power supply. The modular power supply and the plasma are electrically connected. The plasma parameter acquisition device is used to acquire plasma load state parameters. The plasma parameter acquisition device and the control module are electrically connected. The control module and the modular power supply are electrically connected. The control module is used to adjust the number of power supply modules in the modular power supply based on the plasma load state parameters fed back by the plasma parameter acquisition device. This application enables real-time control of the number of power supply modules in the modular power supply, achieving dynamic adjustment of the power supply during plasma operation, ensuring that the plasma load state continuously meets the process target requirements.

The application provides a kind of management and control chemical fast LIBS classification identification model construction method, medium and system, belongs to management and control chemical technical field, the application is by collecting mercury argon reference lamp spectrum to carry out wavelength calibration, according to atomic spectrum database extraction management and control element characteristic transition wavelength window and compressed to low-dimensional feature space by sparse self-encoder, with hydrogen line starker broadening and Boltzmann graph slope method real-time inversion electron density and electron temperature and to compressed characteristic matrix is physically normalized, calculates plasma drift index to adaptively adjust plasma parameter decoupling double-flow condition graph network update strategy, the normalized characteristic matrix and physical diagnostic value are input into the artificial intelligence network to output element concentration vector and class prediction probability, solve the technical problems that plasma parameter fluctuation leads to laser-induced breakdown spectroscopy classification feature instability, classification accuracy significantly decreases under the condition of cross-instrument and cross-matrix.

The application discloses a kind of tokamak plasma multi-parameter collaborative configuration analysis method, it is related to plasma multi-parameter collaborative configuration analysis technical field, including the following steps: constructing parameter database to store plasma parameter;Plasma parameter is normalized, and the normalized parameter of plasma parameter is obtained;Analysis whether there is relevance between two plasma parameters and obtains independent correlation;Analysis whether plasma parameter is simultaneously influenced by more than two plasma parameters, and analysis their comprehensive correlation;When the configuration of plasma is regulated, based on independent correlation and comprehensive correlation, plasma parameter is cooperatively regulated;The application is used to solve the existing plasma multi-parameter collaborative configuration analysis technique still exists between different plasma parameters The relevance analysis is not comprehensive enough, leading to unable to better cooperatively control and analyze plasma.

The invention relates to the technical field of plasmas, and discloses a multi-sample plasma irradiation sample table and an irradiation sample fixing bracket thereof. The irradiation sample fixing support comprises a base, an installation assembly, a probe and a cooling assembly, the base is provided with a plurality of installation faces which are sequentially arranged around a rotating axis and connected, and the base can rotate around the rotating axis so that the different installation faces can directly face plasma beams. Therefore, a probe or different samples installed on the base through the first installation assembly or the second installation assembly can directly face the plasma beam, and plasma irradiation is achieved. Multiple samples can be irradiated without repeatedly destroying vacuum, so that the experiment efficiency is improved; meanwhile, plasma parameters of an irradiation area can be measured through the probe, and the experiment accuracy is improved. The multi-sample plasma irradiation sample table comprises a rotating mechanism and an irradiation sample fixing support, and the rotating mechanism drives the base to rotate so that the probe or different samples can directly face plasma beams.

The invention discloses a method for measuring the service life of a first wall boron film of a Tokamak device, and belongs to the technical field of high-temperature plasma diagnos.The method comprises the steps that in the operation stage of a Tokamak plasma experiment, the mass change of a material is monitored in real time through a quartz crystal microbalance system located in a magnetic shadow area; based on monitoring data of the quartz crystal microbalance system, an evolution curve of accumulated mass change along with accumulated discharge time is drawn; performing local fitting and slope inspection on the slope of the evolution curve of the cumulative mass change along with the cumulative discharge time, and when the local fitting slope is remarkably changed, extracting plasma parameters under corresponding discharge conditions and confirming that the plasma parameters are in a stable state; and judging the end-of-life point of the first wall boron film based on the slope characteristic of the evolution curve of the cumulative mass change along with the cumulative discharge time. According to the invention, in-situ, real-time and accurate life measurement can be realized in the plasma discharge process.

The invention provides an electric thruster beam plasma parameter characteristic diagnosis system and method, and relates to the field of plasma diagnosis, and the system comprises a vacuum chamber which is used for accommodating an electric thruster and providing a vacuum environment; the optical fiber signal acquisition module is arranged in the vacuum bin and is used for acquiring optical signals of beam plasma generated by the electric thruster from a plurality of angles; the image acquisition module is arranged outside the vacuum bin, is in light path connection with the optical fiber signal acquisition module and is used for receiving the optical signal and converting the optical signal into a two-dimensional image time sequence; and the data processing module is in communication connection with the image acquisition module and is used for processing the two-dimensional image time sequence so as to reconstruct four-dimensional distribution of parameters of the beam plasma. By means of optical fiber calibration, light splitting filtering and inversion processes, low-disturbance and low-cost multi-parameter synchronous diagnosis is achieved, and efficiency and resolution are improved.

A neural network-guided method for precise control of material modification, relating to the field of material modification technology, addresses the problem of uneven surface modification caused by the inability of existing plasma modification techniques to precisely control plasma parameters for nonlinear phase transitions in microstructures. This invention first obtains the initial state parameters and target modification parameters of the material to be modified; then, the obtained parameters are input into a pre-trained neural network model to generate preliminary and high-precision plasma control parameters; next, the operating parameters of the plasma device are controlled by a control unit to modify the material; finally, the state parameters of the material are collected in real time during the modification process, and these real-time state parameters are used as feedback input to the neural network model to dynamically update the plasma control parameters. This invention enables precise and adaptive control of plasma material modification to address nonlinear phase transitions in microstructures.

The invention discloses a low-temperature plasma jet flow vibration temperature diagnosis method based on machine learning, and belongs to the crossing field of plasma parameter diagnosis and machine learning technologies. The method comprises the following steps: S1, generating a theoretical spectrum through software, collecting an experimental spectrum, and accurately calibrating a temperature label for the experimental spectrum by adopting an Euclidean and SCM combined algorithm; s2, carrying out normalization processing on all spectral data, and dividing the spectral data into training, verification and test sets; s3, constructing and training two neural network models of BPNN and MLP, and learning a mapping relation between the spectrum and the temperature; step S4, optimizing the model through multiple modes such as verification set expansion, regularization and transfer learning to prevent overfitting, and using the optimized model to carry out rapid and real-time temperature diagnosis on the plasma spectrum; the method can solve the problems that the traditional manual fitting nitrogen molecule radiation spectrum diagnosis method is long in time consumption and highly depends on the experience of an operator.

This invention discloses a control method for an ion cyclotron resonance heating system, belonging to the field of radio frequency heating control technology. This invention trains a coupling impedance prediction model using ICRH system operating parameters and plasma parameters, and outputs future coupling impedance prediction results during ICRH system operation to characterize the changing trend of the coupling state between the ICRH system and the plasma. During ICRH system operation, the signals required for the coupling impedance prediction model are acquired in real time to predict the matching state of the ICRH system. When the prediction results indicate a potential mismatch in the future coupling impedance, the impedance matching module in the ICRH system is preemptively adjusted to ensure that the ICRH system is always in an optimal matching state. This solves the technical problems of adjustment lag and transient mismatch inherent in existing technologies.

The utility model discloses a cavity plasma detection device, comprising: a support assembly, the support assembly comprises a vertical plate, a bearing plate and a plasma pool, the upper part of the front end of the vertical plate is fixedly connected with the bearing plate, and the lower part of the front end of the vertical plate is fixedly connected with the plasma pool; the flexible detection assembly comprises a rectangular frame, a large-size probe and a small-size probe, the two sides of the front end of the bearing plate are movably connected with the rectangular frame, and the large-size probe and the small-size probe are movably connected into the rectangular frame. According to the utility model, the large-size probe is inserted into the plasma pool, so that macroscopic parameters, such as overall electron density, temperature distribution and the like, of plasma can be detected, and the general state of the plasma can be reflected; the small-size probe can go deep into the microscopic detail part of the plasma to measure the plasma parameter change in the local tiny area, such as the parameter at the edge of the plasma or near the internal tiny structure; the combination of the two improves the detection accuracy.

The present application relates to the technical field of HDI printed circuit board processing, in particular to a processing method for solving the problems of copper surface residual glue and small size of binding PAD in cavity product position, after laser cavity processing, the characteristic vector is input into the trained gradient boosting regression tree (GBRT) model, and the adaptive plasma parameter is output, and the cavity copper surface is treated by adopting the adaptive plasma parameter; the present application realizes the dynamic matching of residual glue characteristics and treatment parameters by adopting the GBRT model to adaptively output the plasma parameter and combining with the sand blasting path planned by the A* algorithm; wherein the prediction error of the GBRT model to the plasma parameter is less than or equal to 5%, the priority coverage of the region to be optimized is ensured, the path overlap rate is less than or equal to 5%, the final residual glue removal rate is improved to more than 98%, and the problem of incomplete treatment of traditional fixed parameters is solved.

The invention relates to the technical field of plasma detection, in particular to a dual-channel transient plasma parameter measurement system. A dual-channel transient plasma parameter measurement system comprises an axial Faraday probe and a plurality of energy level selection probes distributed in the circumferential direction, the Faraday probe is used for measuring the total current of ions, each energy level selection probe sequentially comprises an inner shielding electrode, a collector and an outer shielding electrode from inside to outside in the radial direction, and the inner shielding electrode, the collector and the outer shielding electrode are not connected. Positive bias voltage is applied to the inner shielding electrode and the outer shielding electrode, the collecting electrode is connected with the positive bias voltage with the same bias voltage value as the two shielding electrodes outside the collecting electrode, and the positive bias voltage of the multiple energy level selection probes connected in the axial direction is sequentially increased according to an arithmetic progression. According to the embodiment of the invention, the composite probe system which integrates various measurement capabilities and is faster in response can be provided.

The application belongs to the technical field of nuclear fusion, and discloses a tokamak plasma vertical displacement event disruption prediction method based on a random forest. The technical scheme comprises the following method steps: S1, obtaining tokamak plasma equilibrium parameters, shape control data and plasma current control data, and cleaning the data; S2, setting different segmentation points according to whether each parameter of each discharge gun is stable or not, and marking them as 0 and 1 respectively; S3, verifying whether each gun has separability by using a t-SNE algorithm. The application inputs different plasma parameters in the tokamak into a machine learning model, sets a threshold value for judgment, and outputs an early warning signal. The method of artificial intelligence is introduced into the EAST tokamak plasma vertical displacement disruption prediction, and the problem of low accuracy of the disruption prediction is solved.

The invention provides an arc wind tunnel dynamic flow field plasma parameter microwave measurement device and method, the device comprises an arc wind tunnel, a microwave system, a vector analyzer and a data processing module, a transmitting antenna and a receiving antenna of the microwave system are coaxially and horizontally arranged on two sides of a plasma flow field, and a beam waist is accurately aligned with the center of the flow field. According to the method, static and dynamic S parameters are measured through system self-calibration and wide-frequency-band frequency sweeping, a net transmission coefficient is calculated, and the electron density and the collision frequency are synchronously obtained by combining a forward calculation model, a residual objective function, a genetic algorithm and a Levenberg-Marquardt combined inversion algorithm. According to the invention, non-contact measurement is adopted, and a time domain gating filtering technology is matched, so that the problems of clutter interference and equipment ablation are avoided, online real-time accurate measurement of plasma parameters is realized, and reliable data support is provided for research on related characteristics of aircrafts.

The invention discloses a method for observing spatial distribution characteristics of deuterium and impurities of a lower divertor by using hyperspectral imaging, which comprises the following steps of: when a magnetic confinement fusion device runs, realizing multiband 2D image observation of a lower divertor region through a hyperspectral camera, and realizing continuous recording of emission spectral lines of deuterium and impurity elements of the lower divertor; arranging the obtained multiband spectral intensity data in the 2D space, establishing a corresponding database according to corresponding shot numbers, and carrying out calibration analysis on spectral information intensity recorded by a camera through an integrating sphere standard light source to obtain absolute intensity data of emission spectral lines in the multiband; and determining corresponding element information by combining the special emission spectral line wavelengths of different elements recorded in the ADAS atom database. Multiband spectral information data recorded by hyperspectral imaging can provide a basis for research on spatial 2D profile distribution of boundary plasma parameters and tungsten impurity spectral lines, and provide data support for evaluation of first wall tungsten impurity source distribution and tungsten impurity sputtering conditions.

The application discloses a Langmuir probe detection method and system, and relates to the technical field of plasma detection; the application is improved on the basis of the existing Langmuir probe detection method; in the process of detecting plasma by using three probes in a three-probe mode, the working state of the three probes is monitored in real time to determine whether the working state is abnormal; the measurement mode of each probe is switched according to the abnormal working state of the three probes, so that the probe with a normal working state can continuously detect; when some probes are damaged due to plasma ablation or other reasons, the remaining probes can still measure the plasma parameters as much as possible, and resource waste is avoided.

This application discloses a plasma model analysis method and apparatus for space charging and discharging effects. The method includes: determining the orbit type and the space region traversed during on-orbit operation; determining the plasma model of the outer space plasma fusion model in the traversed space region; obtaining plasma parameters of the traversed space region based on data from the current solar activity period and / or the current geomagnetic activity period; analyzing the charging and discharging effects occurring on the spacecraft surface based on the plasma parameters; using an intrinsic plasma model in the intrinsic region and a transitional fusion model in the transition region, determining the range of the transition region based on the boundary between two adjacent intrinsic regions; dividing the transition region into multiple sub-regions based on the range and division strategy of the transition region; determining the fusion mode of each sub-region for each sub-region, obtaining a transitional fusion model corresponding to the transition region. The plasma parameters obtained through plasma model analysis are more accurate.

This invention relates to the field of simulation computing, and in particular to a simulation analysis method, system, device, and medium for optical imaging of the Earth's magnetosphere. The method includes: reading geomagnetic plasma data in a preset format; determining the type of geomagnetic radiation simulation based on at least one plasma parameter type input by the user; and performing radiation simulation calculations using the geomagnetic plasma data according to the type of geomagnetic radiation simulation, thereby obtaining and visualizing an optical image of the geomagnetic space. By accurately simulating optical imaging of radiation at different wavelengths in the geomagnetic space, long-term observation of the same geomagnetic region can be performed, resulting in a geomagnetic optical image with a large field of view and fast response time. It can dynamically display the temporal and spatial morphological changes of the geomagnetic plasma layer, thus facilitating the study and analysis of the global matter and energy transport characteristics of the geomagnetic space.

The invention discloses a plasma parameter diagnosis method based on a Bi-LSTM model and related equipment, and the method comprises the steps: obtaining I-V characteristic data of double probes in a DC glow discharge plasma device under different potential deviation angles and different discharge voltage-air pressure combinations, plasma parameters corresponding to the I-V characteristic data at the datum point are recorded; taking the plasma parameters as labels of the I-V characteristic data to construct a data set, dividing the data set into a training set and a verification set, and training a preset Bi-LSTM model by taking minimization of a mean absolute error as a target to obtain a target Bi-LSTM model; and inputting the I-V characteristic data of the double probes to be tested into the target Bi-LSTM model to obtain plasma parameters corresponding to the I-V characteristic data of the double probes to be tested.

The invention relates to the technical field of spectrum on-line detection, and particularly discloses a mining industry all-element intelligent on-line detection analysis method based on laser-induced breakdown spectroscopy, which comprises the following steps: acquiring mining industry on-line mineral aggregate flow, initial laser parameters, real-time environment parameters and mineral aggregate preprocessing information, performing pulse coding laser-induced plasma optimization, and performing laser-induced plasma optimization; self-adaptive spectrum collection is carried out, background suppression is carried out on a mining industry scene, a net characteristic spectrum after background removal is obtained, a spectrum band attention-element category attention double-branch network is constructed, a high-dimensional compact characteristic vector, a characteristic attention weight map and an element preliminary identification result are output, and the high-dimensional compact characteristic vector and the element preliminary identification result are obtained; and carrying out feature weighting-plasma parameter correction fusion analysis, carrying out mining all-element detection correction, and outputting corrected final element content and a mineral identification result. The method solves the problems of complex sample pretreatment, long time consumption, low light element detection precision and incapability of online detection in the traditional detection technology.

A reinforcement-learning-based fusion plasma loop voltage control method, comprising the following steps: selecting data for model training: in the context of Tokamak fusion plasmas, using plasma parameters at the current moment as an input, and outputting vloop at the next moment; and constructing a database: collecting discharge data of an operating Tokamak apparatus and preliminary discharge data of a future apparatus, and using same as initial training data for model construction. The method can improve the precision and response speed of a Tokamak vloop control algorithm; and a reinforcement learning model has self-learning and adaptive capabilities, thereby enhancing the long-term stability and optimization effect of a vloop control method in a Tokamak system, improving the overall control effect, reducing the demand for manual intervention and operations, and reducing the operation costs and human resource input.

The invention provides a pulse plasma thruster discharge channel test system, which comprises a moving frame, a lens assembly, a monochromator, a current sensor and an oscilloscope, and is characterized in that the moving frame and the lens assembly are arranged in a vacuum cabin, and the moving frame is used for loading a thruster to be tested; the lens assembly is used for acquiring spectral data of a point location to be measured in the discharge channel and transmitting the spectral data to the monochromator, the current sensor is used for acquiring discharge current of the thruster, and finally the oscilloscope synchronously records the spectral data and the discharge current. According to the invention, the discharge current is used as a combination reference among different times of measurement spectral data, and accurate combination of different times of measurement plasma parameters is realized by taking the discharge current as the reference, so that a real rule of plasma characteristic space distribution is obtained, and the problem of time asynchronization of data measurement in different times is solved; pseudo-synchronization reconstruction based on a physical process is realized.

The application discloses a plasma parameter transient terahertz wave transmission testing device, method and system, and relates to the technical field of plasma transmission testing.The device comprises a first microwave darkroom, a measured device, a second microwave darkroom, a vector network analysis module and an industrial computer, and the measured device is provided with plasma;the first microwave darkroom is provided with a first spread spectrum module, a transmitting horn antenna and a first lens, the second microwave darkroom is provided with a second spread spectrum module, a second lens and a receiving horn antenna, the transmitting horn antenna is connected with the first spread spectrum module, the receiving horn antenna is connected with the second spread spectrum module, and the vector network analysis module is connected with the first spread spectrum module, the second spread spectrum module and the industrial computer.The application obtains the terahertz wave transmission signal passing through the plasma, inverts the key parameters of plasma electron density and collision frequency, improves the accuracy of the model, does not need to intrude into the plasma, and is suitable for different processes and various application scenarios.