28 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 embodiments of the present application disclose an audio separation method, electronic device, and computer-readable storage medium, wherein the method includes: obtaining multi-track audio data; the multi-track audio data is obtained by mixing N single-track audio data, where N is an integer greater than 1; performing multi-track separation on the multi-track audio data based on a multi-track audio separation model to obtain a first separation result, the first separation result including N single-track audio data; performing single-track extraction on the multi-track audio data based on N single-track audio extraction models to obtain a second separation result, the second separation result including N single-track audio data; and fusing the same type of single-track audio data in the first separation result and the second separation result based on a fusion model to obtain a target separation result. By fusing the processing results of the multi-track audio separation model and the single-track audio extraction model, the present application can effectively improve the overall performance of audio separation.

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.

The present disclosure relates to the technical field of computers. Disclosed are a sound source separation method and apparatus, and an electronic device and a storage medium. The method comprises: acquiring audio to be processed and prompt information of a target sound source, wherein the prompt information of the target sound source is obtained after initial prompt information of the target sound source is updated, the initial prompt information is obtained on the basis of audio of the target sound source, and the update is performed by obtaining a separation result of the target sound source from first sample audio on the basis of the initial prompt information; and on the basis of the audio to be processed and the prompt information of the target sound source, determining the audio of the target sound source from the audio to be processed.

A process which, on the basis of a provided test sample including a mix of a plurality of pre-known sample components and on the basis of provided absolute sample separation properties for each of the sample components, includes experimentally determining a real sample separation result by executing a sample separation method for separating the test sample by a sample separation apparatus, and determining a real value of at least one operation parameter based on a comparison between the absolute sample separation properties and the real sample separation result for characterizing a real course of the sample separation method.

The invention discloses a real-time separation method for static deflection and dynamic deflection of a bridge. The method comprises the following steps: determining an initial value parameter of deflection separation; establishing a correlation model of the temperature signal and the deflection signal through a linear regression mode; predicting the probability distribution of the static deflection and the temperature at the t + 1 moment based on the mean vector and the covariance matrix of the posterior static deflection value and the posterior temperature value at the t moment, and obtaining the mean vector and the covariance matrix of the prior static deflection value and the prior temperature value at the t + 1 moment; calculating a mean vector and a covariance matrix of a posterior static deflection value and a posterior real temperature value at the t + 1 moment by combining a prior prediction result at the t + 1 moment based on the total deflection and the temperature measurement value so as to obtain a corrected static deflection value and a corrected real temperature value at the t + 1 moment, and subtracting the static deflection from the total deflection to obtain a dynamic deflection value; and real-time separation of static deflection and dynamic deflection is realized through iteration. According to the method, the bridge real-time deflection monitoring data is taken as a main object, the information of the temperature change trend is fused in the static deflection separation process through iteration of prior prediction and posterior correction, the separation result basis is sufficient, the algorithm complexity is low, and the engineering practicability is high.

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 utility model relates to the technical field of liquid separation, in particular to a liquid separation indicating device which comprises an observation portion, the observation portion is of a hollow tubular structure, an indicating tube is arranged on the inner side of the observation portion, the indicating tube is perpendicular to the horizontal plane, an indicator capable of moving up and down is arranged in the indicating tube, and blocking pieces are arranged at the upper end opening and the lower end opening of the indicating tube respectively. The connecting assembly comprises a first flange arranged at one end of the observation part and a second flange arranged at the other end of the observation part, and the first flange and the second flange are connected with and fix the observation part through a fastening device; through the arrangement, a liquid separation interface can be quickly determined through visual inspection in the liquid separation process, the liquid separation extraction working efficiency is improved, a judgment basis is added for a liquid separation result, it is ensured that the observation part has enough pressure resistance, the service life is prolonged, and the liquid separation indicating device is compact in structure and small in occupied space.

The invention relates to the field of communication signal processing, and provides a long signal separation fusion method, device and equipment of a single-channel blind source separation model, a medium and a product, and the method comprises the steps: training the single-channel blind source separation model; making a to-be-separated aliasing signal slice sequence; performing reasoning separation operation on the to-be-separated aliasing signal slice sequence by using a trained single-channel blind source separation model to obtain two paths of separation component sequences and corresponding negative correlation flipping component sequences; performing front and back window component matching calculation of a sample separation frame on the two paths of separation component sequences and the corresponding negative correlation flipping component sequence to obtain an optimal matching component; based on the optimal matching component, performing window fusion calculation on the correct separation component of the multi-slice frame to obtain a fusion window component; and completing fusion reconstruction based on the fusion window component. According to the method, the problems of input limitation of a long signal on a single-channel blind source separation model and replaceability and overturning of a separation result can be solved at the same time.

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 utility model discloses a separation and purification device suitable for separating low-content substances, which relates to the technical field of medicine separation and purification, and comprises a separation tower, and an enrichment mechanism, a separation mechanism and a detection piece which are arranged in the separation tower, the interior of the separation tower is hollow, and the opening of the separation tower is upward; the enrichment mechanism comprises a partition plate and a filter membrane which are used for vertically separating an inner cavity of the separation tower into a plurality of cavities and are fixed on the inner wall of the separation tower, and the partition plate is positioned below the filter membrane; the separation mechanism is located below the enrichment mechanism, an input port of the separation mechanism is connected with the partition plate and receives the bulk drug liquid passing through the partition plate, the detection part is arranged at the bottom of the separation tower and used for detecting separation results, and a sampling end of the detection part is communicated with an output port of the separation mechanism. And the output port of the separation mechanism is also connected with the output port of the separation tower. The method has the effect of improving separation and purification of low-content substances.

A method of training an audio separation network is provided. The method includes obtaining a first separation sample set, the first separation sample set including at least two types of audio with dummy labels, obtaining a first sample set by performing interpolation on the first separation sample set based on perturbation data, obtaining a second separation sample set by separating the first sample set using an unsupervised network, determining losses of second separation samples in the second separation sample set, and adjusting network parameters of the unsupervised network based on the losses of the second separation samples, such that a first loss of a first separation result outputted by an adjusted unsupervised network meets a convergence condition.

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 invention provides a magnetic product separation traceability method and system based on a block chain and multi-mode sensing, and the method comprises the steps: collecting a magnetic induction signal through a sensor array, calculating an adsorption coefficient based on a physical parameter of a product and the magnetic induction signal, and outputting a stacking state level; outputting corresponding cylinder thrust and stroke based on the adsorption coefficient and the stacking state grade to perform separation operation; the thrust and stroke of the air cylinder during actual execution are adjusted through an error correction mechanism; based on the adjusted thrust and stroke of the air cylinder, the final distance after the product is stabilized is obtained through calculation; and collecting thrust, stroke and spacing data of each separation operation in the previous steps, and generating a hash value to be bound with a product label. A magnetic state sensing and regulating mechanism is introduced, so that the separation device can automatically adapt to matching of a separation path and thrust according to the adsorption degree and the stacking state between products, and rapid judgment and accurate fine adjustment of a separation result are achieved.

The present application relates to a method, device, equipment and medium for separating a dissection cavity based on a clustering algorithm, wherein the method for separating a dissection cavity based on a clustering algorithm includes: extracting a vascular dissection endothelial sheet model and a target vascular model based on a CTA image to be processed; converting the vascular dissection endothelial sheet model into a grid model, extracting two continuous and largest-area first and second facets; for each voxel grid on the target vascular model, determining the grid point closest to the first and second facets; calculating the direction vector of the voxel grid and the grid point, and constructing a feature vector with the spatial coordinates of the grid point; performing cluster analysis on the feature vectors corresponding to each voxel grid to obtain a dissection separation result, thereby solving the time-consuming and labor-intensive problem of manual labeling, and having a clear method principle, thereby improving the accuracy of dissection separation.

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 invention discloses a rapid analysis method for the sensitivity of a carrier rocket first-stage and second-stage separation model, and aims to efficiently and accurately analyze the influence of key parameters on the overall performance in the carrier rocket first-stage and second-stage separation process. The method comprises the following specific steps: firstly, establishing a carrier rocket first-stage and second-stage separation model by utilizing Mworks software, wherein the model comprises a plurality of models such as a carrier rocket first-stage rigid body model, a carrier rocket second-stage rigid body model, a thrust model and a separation mechanism model; secondly, through an FMU interface, the Mworks model is imported into an MATLAB environment, and simulation setting is carried out on the Mworks model through Simulink; thirdly, performing parameter setting on a plurality of key parameters (such as thrust change, centroid offset, mass size and the like) in the first-stage and second-stage separation process; fourthly, calling a Simulink model to obtain a simulation result; and finally, analyzing the sensitivity of different parameters to the first-stage and second-stage separation results of the carrier rocket through a Sobol global sensitivity analysis method. The method not only improves the speed and precision of sensitivity analysis, but also simplifies the working process through seamless integration of Mworks and MATLAB. In addition, the invention also provides visual sensitivity analysis result visualization, so that designers can visually understand the influence of parameter change on the separation process, thereby accelerating the design and iterative optimization process of the carrier rocket. In conclusion, the rapid sensitivity analysis method for the first-stage and second-stage separation model of the carrier rocket is efficient and accurate, and powerful technical support is provided for design and performance optimization of the carrier rocket.

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 utility model discloses an automatic liquid skimming device of a centrifugal machine for starch separation, which relates to the related field of starch separation and comprises a centrifugal machine, a detection mechanism, a quantifying mechanism and a centrifugal cylinder, the front end of the centrifugal machine is fixedly connected with the detection mechanism, and the left end of the top of the centrifugal machine is fixedly connected with the quantifying mechanism. A centrifugal barrel is rotatably connected to the bottom in the centrifugal machine, a detection mechanism is arranged, when a video recorder records that a contact rod and a flexible pad are knocked, a timer stops timing, a worker indirectly judges the rotating speed of the centrifugal barrel according to the time of the timer, it is ensured that the centrifugal effect of the centrifugal machine reaches the optimal state, and the separation result is improved; and a quantifying mechanism is arranged, a second control switch is extruded through a rotating block, discharging is achieved, starch particles are more easily gathered together under a centrifugal force field by quantitatively increasing a coagulant, the settling speed is increased, and therefore the separation efficiency is improved.

The invention provides an underground gas-liquid multistage separation result prediction method and system based on numerical simulation, and the method comprises the steps: building a Venturi tube model according to the preset size of each part of a Venturi tube; constructing a rotary separator model according to preset internal parameters of the rotary separator; combining the Venturi tube model and the rotary separator model to build a three-dimensional geometric model for gas-liquid multi-stage separation; setting general parameters, materials, a multiphase flow model and boundary conditions of the three-dimensional geometric model, and performing numerical simulation to obtain a simulation result; and extracting and analyzing the simulation result to obtain a separation prediction result. By means of the method, high-precision simulation of the underground gas-liquid multi-stage separation process is achieved, and the underground gas-liquid separation efficiency is improved.

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 present invention discloses a single-channel time-domain bird sound separation method, device, and computer-readable storage medium. The method includes: constructing a bird sound data set, and partitioning the bird sound data set to obtain a training set and a validation set; wherein, the bird sound data set is single-channel bird sound data; constructing a bird sound separation network, the bird sound separation network including an encoder, a separator, and a decoder; constructing a separation model loss function, and configuring an optimizer, a learning rate, and a learning rate strategy; according to the separation model loss function, the optimizer, the learning rate, and the learning rate strategy, training the model on the training set through the bird sound separation network to obtain a bird sound separation model; separating the mixed bird sound data according to the bird sound separation model to obtain a bird sound separation result. The present invention has a small amount of computation, high efficiency, and low cost, and can be widely applied to the field of artificial intelligence technology.

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.