14 results about "Separation result" patented technology

The invention discloses a petroleum product chemical composition automatic analysis system and method based on deep learning, and relates to the field of petroleum product analys.The method comprises the steps that chromatography-mass spectrometry full-scanning data of a petroleum sample is obtained, a peak top point is detected, and parameters such as retention time, peak height and peak width are extracted; calculating the ratio of the retention time interval of the adjacent peaks to the sum of the widths of the two peaks as a relative interval ratio; the peak overlapping degree is judged according to the ratio, and the peak overlapping degree is divided into a high overlapping type, a medium overlapping type or a separable type; separating overlapped peaks by adjusting peak width parameters, and re-verifying the spacing ratio after separation; if not, optimizing a separation result by iteratively updating parameters or calculating a correction coefficient; the method can automatically identify and process the peak overlapping problem, can perform secondary optimization on the peaks which are not successfully separated, and is suitable for chemical composition analysis of complex petroleum samples.

The invention relates to the technical field of alkaline water electrolysis hydrogen production, and discloses a multi-parameter fusion gas-liquid separation effect online evaluation method, which comprises the following steps: acquiring alkali liquor mass fraction concentration, fluid temperature, actual mixing density and mass flow signals on a backflow alkali liquor pipeline of a gas-liquid separator in real time; dynamically calculating the theoretical density of the bubble-free sodium carbonate solution under the current working condition according to the mass fraction concentration of the alkali solution and the fluid temperature which are collected in real time; calculating the absolute deviation between the theoretical density and the actual mixing density; performing real-time noise level analysis on the mass flow signals; according to a comparison result of the absolute deviation and a preset density deviation threshold value; and outputting a separation result judgment result and executing corresponding alarm or interlocking control. The theoretical density of the bubble-free sodium carbonate liquid is dynamically calculated in the control unit in real time according to the online measured mass fraction concentration and temperature of the alkali liquid, and reliable separation result evaluation under the real-time concentration change working condition is achieved.

The invention relates to the field of spacecraft structure separation control, and discloses an explosive bolt control system for spacecraft structure separation, which comprises an intelligent separation actuator integrated with a piezoelectric stack, an impact focusing assembly and a graded energetic agent, and a control and processing unit. The method is characterized in that on-orbit health diagnosis is realized by using sensing-actuating dual functions of a piezoelectric stack, and a health index is quantified by analyzing an echo signal; closed-loop self-adaptive detonation is carried out, and detonation pulses are adjusted according to the real-time health index so as to compensate performance degradation; and confirming a separation event, and evaluating a separation result by collecting event signals at a high speed and carrying out mode matching. According to the method, on-orbit self-diagnosis, performance self-adaptive compensation and event self-confirmation of the separation device are realized, open-loop execution is improved to closed-loop intelligent control, and the reliability of a spaceflight separation task is greatly enhanced.

This invention proposes a method and system for separating and tracing magnetic products based on blockchain and multimodal sensing. The method includes: acquiring magnetic induction signals through a sensor array; calculating the adsorption coefficient based on the product's physical parameters and the magnetic induction signals, and outputting the stacking state level; outputting the corresponding cylinder thrust and stroke based on the adsorption coefficient and stacking state level to perform a separation operation; adjusting the cylinder thrust and stroke during actual execution through an error correction mechanism; calculating the final spacing after product stabilization based on the adjusted cylinder thrust and stroke; collecting the thrust, stroke, and spacing data for each separation operation in the aforementioned steps, and generating a hash value that is bound to the product tag. This invention, by introducing a magnetic state sensing and control mechanism, enables the separation device to automatically adapt the separation path and thrust matching according to the degree of adsorption and stacking state between products, achieving rapid determination and precise fine-tuning of the separation result.

The invention provides a self-adaptive collaborative optimization method and system based on separation simulation control, and relates to the technical field of separation, and the method comprises the steps: extracting mixture separation demand information, and screening and determining the type of a target separator. And based on the fluid mechanics parameter set, constructing a gas-liquid separation simulation optimization channel which comprises a simulation branch and an optimization branch. And according to the type of the target separator, introducing a separation constraint condition, and performing simulation to determine a result. And synchronizing a result to an optimization branch, and generating an optimization scheme. And executing an optimization scheme, monitoring in real time, generating a dynamic adjustment instruction, and realizing intelligent gas-liquid separation. According to the invention, the problem that the product quality of industrial production is further influenced due to low separation efficiency caused by incapability of responding to the dynamic change of the mixture in real time due to lack of flexibility and adaptability in the prior art can be solved. The separation parameters are automatically adjusted according to the real-time characteristics of the mixture, the optimal separation effect is achieved, and therefore the overall separation efficiency is improved.

The invention belongs to the technical field of drug quality analysis, and particularly relates to a separation method and a detection method of impurities in Vonoprasone fumarate. The separation method comprises the following steps: dissolving a to-be-detected Vonoprazan fumarate sample with a diluent to obtain a test solution; and carrying out high performance liquid chromatography separation on the test solution to realize the separation of impurities in the Vonoprasone fumarate. According to the method, a phosphate buffer solution-methanol-acetonitrile (mobile phase A) and a phosphate buffer solution-acetonitrile (mobile phase B) are taken as a mobile phase system, and specific mobile phases and gradient elution procedures are adopted, so that the Vonoprazan and 12 impurities can be highly separated at one time, and the method is short in time consumption, high in separation efficiency, simple to operate and low in separation cost. According to the method, the content of the impurities can be obtained by detecting the separation result through a liquid chromatographic detector, and the detection method is efficient, convenient, good in reproducibility, high in specificity, high in accuracy and high in sensitivity.

The invention provides an At-211 online separation process simulation method and platform based on digital twinning, relates to the technical field of data processing, and identifies a separation behavior evolution mode based on a data change association relationship in a continuous time interval by collecting process monitoring data reflecting a material distribution state and separation result change in a separation process. And dividing the separation process into a plurality of operation segments. And aiming at different separation behavior evolution modes, respectively constructing digital twin simulation sub-models with different state variable composition modes and state change constraint conditions. In the online simulation process, the corresponding relation between the current separation behavior evolution mode and the adopted digital twinborn simulation sub-model is continuously judged, continuous simulation is maintained when the current separation behavior evolution mode is consistent with the adopted digital twinborn simulation sub-model, existing state continuation is terminated and switched to the matched digital twinborn simulation sub-model when the current separation behavior evolution mode is inconsistent with the adopted digital twinborn simulation sub-model, and the subsequent simulation evolution process is reestablished. Therefore, simulation of the multi-stage operation state of the At-211 online separation process is realized.

The application discloses a deep learning-based automatic analysis system and method for chemical composition of petroleum products, and relates to the field of petroleum product analysis.The system comprises the following steps: obtaining chromatography-mass spectrometry full-scan data of a petroleum sample, detecting peak vertices and extracting parameters such as retention time, peak height and peak width; calculating the ratio of the interval between adjacent peaks and the sum of the widths of the two peaks as a relative interval ratio; judging the degree of peak overlap according to the ratio, and dividing the peaks into three categories: highly overlapped, moderately overlapped or separable; separating the overlapped peaks by adjusting the peak width parameter, re-verifying the interval ratio after separation; and if the interval ratio does not meet the standard, updating the parameters or calculating a correction coefficient to optimize the separation result; the application can automatically identify and process peak overlap problems, can perform secondary optimization on peaks that cannot be successfully separated, and is suitable for chemical composition analysis of complex petroleum samples.

The invention relates to a bid price separation result online data management method and system, and a storage medium. The bid price separation result online data management method comprises the following steps: S1, receiving bid price separation data comprising a total bidding quotation and details thereof; s2, based on a predefined metadata standard, performing standardization processing on detail composition in the bid price separation data to obtain structured bid price separation detail data; according to the method, a closed-loop process is formed through standardized input, multi-dimensional splitting, intelligent verification, dynamic linkage, quality evaluation and tracing archiving, the whole process from data receiving to archiving and automatic treatment are achieved, and the problems of process splitting, high manual dependency degree, low efficiency and difficulty in tracing caused by a traditional offline processing mode are fundamentally solved.

The application discloses a railway tunnel structure point cloud decoupling separation method and relates to the technical field of railway tunnel point cloud processing. The method obtains single-layer tunnel point cloud through voxelization and downsampling; applies a CSF algorithm to separate track point cloud; divides the remaining point cloud into a left sidewall block, a right sidewall block and a vault block; calculates the main plane of each block through PCA and rotates to a parallel horizontal reference surface; applies the CSF algorithm again to separate the sidewall structure and the attached object point cloud; restores and splices the coordinates to obtain a fine separation result. The method creatively rotates the vertical wall surface to a virtual horizontal surface through PCA rotation, solves the problem that the CSF algorithm is invalid in a vertical scene, combines a double-threshold design, realizes a separation success rate of 90%+ in a complex scene, shortens the single-kilometer processing time to 20 minutes, and improves the railway tunnel point cloud processing efficiency and accuracy.

The application provides an At-211 online separation process simulation method and platform based on digital twinning, relates to the technical field of data processing, and identifies a separation behavior evolution mode based on a data change correlation relationship in a continuous time interval by collecting process monitoring data reflecting material distribution states and separation result changes in a separation process, and divides the separation process into multiple operation segments accordingly. Different digital twinning simulation sub-models are constructed for different separation behavior evolution modes, with different state variable composition modes and state change constraint conditions. In the online simulation process, the correspondence between the current separation behavior evolution mode and the digital twinning simulation sub-model is continuously determined, and when the correspondence is consistent, continuous simulation is maintained, and when the correspondence is inconsistent, the existing state is continued and switched to the matched digital twinning simulation sub-model, and the subsequent simulation evolution process is re-established, so that the simulation of the multi-stage operation state of the At-211 online separation process is realized.

The application discloses a kind of launch vehicle first-second stage separation model sensitivity rapid analysis method, to efficiently, accurately analyze the influence of key parameters in the process of launch vehicle first-second stage separation on overall performance.The specific steps include: first, the Mworks software is used to establish launch vehicle first-second stage separation model, which includes launch vehicle first-second stage rigid body model, thrust model, separation mechanism model and multiple models;Second, by FMU interface, Mworks model is imported into MATLAB environment, and it is simulated by Simulink;Third, a plurality of key parameters (such as thrust change, mass center deviation, mass size etc.) in the process of first-second stage separation are parameterized;Fourth, simulation result is obtained by calling Simulink model;Finally, Sobol global sensitivity analysis method is used to analyze the sensitivity of different parameters to launch vehicle first-second stage separation result.The method not only improves the speed and accuracy of sensitivity analysis, but also simplifies the work process through the seamless integration of Mworks and MATLAB.In addition, the application also provides intuitive sensitivity analysis result visualization, which is convenient for designers to intuitively understand the influence of parameter change on separation process, thereby accelerating the design and iterative optimization process of launch vehicle.In summary, the application provides an efficient and accurate launch vehicle first-second stage separation model rapid sensitivity analysis method, which provides strong technical support for the design and performance optimization of launch vehicle.

The application relates to the technical field of data processing, in particular to a floating valve tower separation process parameter optimization method based on data driving, which is used for solving the technical problem that the model complexity is too high and the accuracy is reduced due to parameter overload when the model is constructed. The method comprises the following steps: obtaining a plurality of historical sample data of a floating valve tower separation process, each historical sample data comprising time series data of a plurality of parameters collected in the separation process and corresponding separation result data; based on the correlation between the plurality of parameters in the plurality of historical sample data and the stability under different samples, important parameters affecting the separation result data are screened to obtain an important parameter set; based on the parameters in the important parameter set and the corresponding separation result data, a mapping relationship model of the parameters and the separation result is established; and based on the mapping relationship model, a parameter combination corresponding to the optimal separation result data is taken as the optimized floating valve tower separation process parameter.

The application discloses a bridge static deflection and dynamic deflection real-time separation method, system and storage medium, and comprises the following contents: initial value parameters of deflection separation are determined; a correlation model of temperature signals and deflection signals is established in a linear regression manner; posteriori static deflection values, mean vectors and covariance matrices of posteriori temperature values at t time are used to predict probability distributions of static deflection and temperature at t+1 time, so that mean vectors and covariance matrices of a priori static deflection value and a priori temperature value at t+1 time are obtained; based on total deflection and temperature measurement values, the results of a priori prediction at t+1 time are combined to calculate mean vectors and covariance matrices of posteriori static deflection values and posteriori real temperature values at t+1 time, and then corrected static deflection values and real temperature values at t+1 time are obtained; and total deflection is subtracted from the static deflection to obtain dynamic deflection values; and the real-time separation of the static deflection and the dynamic deflection is realized through iteration. The application takes bridge real-time deflection monitoring data as the main object, and through iteration of a priori prediction and posteriori correction, information of temperature change trends is fused in the static deflection separation process, the separation result is sufficient, the algorithm complexity is low, and the engineering practicability is strong.