102results about How to "Reduce acquisition time" patented technology

The invention discloses a molecular property prediction large language model construction method based on a knowledge graph. The method comprises a plurality of steps: firstly, acquiring pre-training corpora by using a high-throughput data acquisition technology, including related data such as molecular attributes and metabolic pathways; then, a knowledge graph about fourteen end points is constructed based on the data, and the knowledge graph represents the relation between the molecules and the attributes and the end points of the molecules in a triple form; thirdly, pre-training the large language model by using a LoRA technology, optimizing the model by adopting an incremental learning strategy, and forming an expert large model; then, a triple related to the target endpoint is retrieved from the knowledge graph through the RAG technology, and retrieval results are sorted; and filtering the retrieved triple through cue word design and an expert large model, and extracting key information. And finally, converting the filtered triple list into a natural language, inputting the natural language into an expert large model, generating a prediction result of molecular properties, and providing a reasoning basis. According to the method, the accuracy and efficiency of molecule and endpoint chemical reaction prediction are remarkably improved.

The invention discloses a distributed architecture of an intelligent emergency command and dispatch system and a collaborative decision-making method. A distributed architecture comprising a basic resource layer, a support service layer and an application layer is constructed, and functions of multi-type alarm access, accurate alarm positioning, intelligent power dispatching and the like are realized by using multiple technologies. And establishing a collaborative decision-making mechanism which covers problem modeling, communication protocol design, negotiation mechanism development, dynamic adjustment and decision-making execution. The system is deployed after integration testing and security testing, personnel training, daily hardware maintenance, software monitoring, data backup and security component updating are carried out. The emergency commanding and dispatching efficiency, accuracy and collaboration are improved, the method adapts to complex emergencies, and public safety is guaranteed.

The invention provides a cross-modal different-source image matching method based on unsupervised domain adaptation, and aims to solve the problem that an existing deep learning method depends on target domain annotation data in cross-modal remote sensing image matching. The conversion of a source domain image and a target domain image is realized through a style migration technology, and domain offset between the source domain image and the target domain image is reduced by using adversarial learning. According to the method, a source domain (with labels) and a target domain (without labels) are aligned from two angles of images and features, knowledge migration is realized, and a matching task in the target domain is solved. The technology fuses unsupervised domain adaptation, focuses on cross-modal different-source image matching, effectively reduces the demand of target domain annotation data, and is of great significance to practical application. Transition from labeled data to unlabeled data is promoted, high-precision target scene image matching is achieved, a new thought is provided for solving the data labeling problem, and the method is expected to be widely applied to various remote sensing image processing scenes.

The invention discloses a physics-based visual tactile sensor multi-mode contact simulation system and method, and the system comprises an elastic body contact simulation unit which is used for carrying out the particle processing of an elastic body of a visual tactile sensor, and obtaining the three-dimensional coordinates of particles on the surface of an object through the contact simulation of the elastic body; the coordinate system conversion unit is used for calculating the coordinates of the mark points on the pixel coordinate system through the coordinate system conversion relation to obtain a mark point simulation image; the tactile image simulation unit is used for processing the three-dimensional coordinates of the particles to generate a tactile simulation image; and the tactile mark point joint simulation unit is used for combining the mark point simulation image and the tactile simulation image to obtain a tactile mark point joint simulation image. According to the method, simulation of the visual tactile sensor tactile image, the mark point image and the tactile mark point combined image in the motion states of pressing, sliding, rotating and the like can be efficiently completed.

The invention provides a photosensitive imager (10). The photosensitive imager (10) comprises an automatic warehouse entering and exiting device (11); the photosensitive chip assembly (65) is arranged on the automatic in-out device (11) and is configured to move between a first position inside the photosensitive imager (10) and a second position extending out of the photosensitive imager (10) along with the automatic in-out device (11); and a backlight assembly (66) disposed inside the photosensitive imager (10) and facing the photosensitive chip assembly (65) in the first position. The photosensitive imager is short in imaging distance, short in collection light path, small in light loss, high in sensitivity, capable of obtaining image data in a short time and small in appearance size.

The invention discloses a transformer substation equipment identification method and system for image identification unmanned aerial vehicle route planning, and the method comprises the following operation steps: obtaining a layout plan of a transformer substation, and constructing a three-dimensional plan of transformer substation equipment for the layout plan of the transformer substation; generating an unmanned aerial vehicle flight route according to the three-dimensional plane graph; generating an unmanned aerial vehicle flight plan for the unmanned aerial vehicle flight route; when an unmanned aerial vehicle control system of the unmanned aerial vehicle flies according to the unmanned aerial vehicle flight plan, a transformer substation equipment image is collected according to the position of the transformer substation equipment in the three-dimensional planar graph; identifying the substation equipment from the substation equipment image and identifying a to-be-identified target object of the substation equipment at the target orientation; the to-be-identified target object is an electrical element on the substation equipment. According to the invention, the equipment image of the substation equipment is acquired through the unmanned aerial vehicle flight plan of the unmanned aerial vehicle, and the type of the substation equipment and the fault type when the fault occurs are further identified according to the equipment image.

The invention discloses an image processing method and device, electronic equipment and a computer readable storage medium, and the method comprises the steps: obtaining a to-be-processed image which comprises a to-be-recognized first card; identifying an image area where each first card is located in the to-be-processed image; based on the image area, extracting a first card image corresponding to each first card from the to-be-processed image; performing image identification processing on the first card image of each first card to obtain an identification result corresponding to each first card; based on the identification result of each first card, card information of each first card is determined; and displaying card information of each first card through a graphical user interface provided by the terminal equipment. According to the method and the device, the step of acquiring the card information corresponding to the entity card is simplified, the acquisition time of the card information is saved, the real-time performance and the responsiveness of information acquisition are improved, and the card information acquisition efficiency is improved.

The invention provides an earthquake disaster loss dynamic assessment method and system based on multi-source disaster situation data, and relates to the technical field of data processing, and the method comprises the steps: obtaining a multi-source original data set; the information data set is cleaned, redundant information is removed, time labels are extracted, and all the time labels are unified to coordinate time; performing data screening on the traffic data set, removing abnormal flow values, and extracting effective traffic flow information; performing space coordinate conversion on the image data set, and aligning image coordinates with a disaster area geographic coordinate system; calculating the traffic passage index of each region, calculating the building damage rate and the road passage rate in the region, analyzing the passage condition and the resource arrival difficulty of each region, and combining the personnel distribution and the important facility position in the information data set; marking different loss levels for each area of the disaster area, and generating a dynamic evaluation report; the method has a good dynamic evaluation effect.

The invention provides an insulation detection method, device and equipment of an energy storage system, a medium and a program product. The method comprises the step of performing insulation detection on the first battery cluster in the at least two battery clusters by adopting a balanced bridge method and an unbalanced bridge method. For any battery cluster except the first battery cluster in the at least two battery clusters, under the condition that the insulation detection of the previous battery cluster is passed, the resistance value of the positive electrode side insulation resistor and the resistance value of the negative electrode side insulation resistor obtained during the insulation detection of all the battery clusters before the battery cluster are utilized to obtain the resistance value of the positive electrode side insulation resistor and the resistance value of the negative electrode side insulation resistor. And carrying out insulation detection on the battery cluster through an unbalanced bridge method. According to the method, the time of insulation detection of the energy storage system is shortened, and the accuracy of insulation detection of the energy storage system is improved.

The invention relates to the technical field of green low carbon and the field of structural design, and discloses an assembly type structure design method, device and equipment and a storage medium, the method comprises the following steps: writing an initial population size, a maximum number of iterations, a crossover rate, a mutation rate and constraint conditions in configuration information in terms of mechanical properties and constraint conditions of a construction industry chain of an assembly type structure; according to the configuration information, a preset genetic algorithm is adopted to process the variable parameters, and a design scheme meeting the mechanical property of the fabricated structure is obtained; and through the objective function, processing the standard value of the construction carbon emission corresponding to each design scheme and the standard value of the bending strength of each design scheme to obtain a comprehensive index corresponding to each design scheme, and selecting the design scheme with the minimum comprehensive index as the optimal design scheme meeting the mechanical property of the fabricated structure. According to the method, the high-strength and low-carbon optimal design scheme can be quickly obtained.

The invention relates to a scientific information acquisition data analysis method for market research, and belongs to the technical field of market research. The method comprises the following steps: S1, question definition and target setting: determining an investigation purpose, a research object and questions needing to be answered, and determining the range and depth of market investigation; s2, information data acquisition: scientifically acquiring original data of market investigation from a plurality of market investigation channels; s3, data processing: using statistics to clean, sort and summarize the collected data; s4, information data screening: selecting original data corresponding to market investigation according to market investigation requirements, and obtaining various types of original investigation data; s5, extracting data features; s6, data analysis; and S7, data feedback. According to the invention, scientific information acquisition can be carried out on various market research data, the information acquisition time is shortened, the information acquisition speed and accuracy are effectively improved, professionals can conveniently analyze various data more clearly later, and the authenticity of data analysis results is enhanced.

The invention discloses a retired battery screening method, system and equipment based on capacity increment curve prediction and a medium, and relates to the technical field of battery application. The method comprises the following steps: firstly, acquiring local charging data, including voltage and capacity, of a target battery, and performing discretization processing to obtain preprocessed data; then, a voltage-capacity curve prediction model based on a convolutional neural network is utilized to predict a complete charging curve of the preprocessed data, and a capacity increment curve is generated; and then, extracting characteristic data of the capacity increment curve, including a left peak height, a right peak height and corresponding voltage, as clustering indexes to screen out-of-service batteries. And finally, determining a judgment result of the target battery according to the feature data, and realizing accurate screening and evaluation of the battery. According to the method, the clustering feature acquisition time can be greatly shortened, the clustering efficiency is improved, and rapid screening of the retired batteries is realized.

The invention discloses a rapid measurement method, device and equipment for ambulatory blood pressure monitoring and a medium. The method comprises the steps that oscillatory wave signals are collected, pulse wave data of two adjacent times of measurement are obtained, and the pulse wave data of the two adjacent times of measurement comprise the currently measured pulse wave data and the pulse wave data of the previous time of measurement; judging whether a cuff deflation condition is met or not according to the pulse wave data of the two adjacent times of measurement, wherein the cuff deflation condition comprises a time interval of the two adjacent times of detection, a heart rate difference value of the two adjacent times of detection, the maximum pulse wave similarity of the two adjacent times of detection and whether a fitting curve of the two adjacent times of detection meets a preset condition or not; if the cuff deflation condition is met, the cuff is controlled to deflate, and the blood pressure value is output according to the currently measured pulse wave data. According to the invention, the collection time can be reduced, and emotion interference to the user due to long collection time is avoided.

The invention relates to the field of optical detection, in particular to an interference confocal measurement system based on two-dimensional dispersion and a measurement method thereof. White light generated by a light source is collimated into parallel light through a first collimating lens, is shaped into rectangular light through a rectangular diaphragm, and is shaped into a linear light beam through a column focusing lens and a rectangular slit; the light is divided into reference light and object light through a beam splitter, the reference light is achromatic through a first achromatic objective lens, then enters a reference plane mirror and is reflected back to the beam splitter by the reference plane mirror, the object light is focused to positions of different depths of an object to be measured after being dispersed through a dispersion lens and is reflected back to the beam splitter by the object to be measured, and the two beams of light are reconverged in the beam splitter. And after being collimated by the second collimating lens, dispersed by the dispersion grating and achromatic by the second achromatic objective lens in sequence, the light is focused on the target surface of the spectrograph for spectrum and interference analysis. According to the invention, line scanning, dispersion and interference measurement are combined, so that the measurement precision can be greatly improved.

The embodiment of the invention provides a processor cache structure, a processor and a data caching method, and relates to the technical field of computers, the processor cache structure comprises a first-level data cache, a first-level instruction cache, a second-level private cache, a second-level private prefetching cache and a cache consistency control unit; the primary data cache is used for storing data accessed by the current core of the processor for multiple times; the first-level instruction cache is used for storing instructions executed by the current core for multiple times; the second-level private cache is used for storing data read by the current core from the main memory or the high-level cache; the second-stage private prefetch cache is used for calculating a prefetch address by adopting a preset algorithm and sending a prefetch request to the second-stage private cache, so that the second-stage private cache prefetches a cache line according to the prefetch address; and the cache consistency control unit is used for monitoring cache operation of each core of the processor. The scheme does not need to wait for other cores to release cache resources, so that the data access delay is remarkably reduced, and the overall performance of the processor is improved.

A computer-implemented multispectral imaging method is disclosed for analyzing a sample comprising a plurality of types of fluorescent labels, each of the plurality of types of fluorescent labels having a respective emission spectrum. The method comprises: receiving multi-channel image data, each channel in the multi-channel image data comprising image data derived from an unfiltered image of a sample and having a respective spectral content; for each channel: i) forming a vector for measuring quantum particle counts from the image data for the channel, the vector having an entry for each pixel in the image; ii) iteratively generating, for each pixel in the image, a vector of possible values having entries contributing to the unfiltered image by each of the plurality of types of fluorescent labels, and for each iteration, generating a vector of possible values for each pixel by multiplying the vector of possible values for each pixel by a hybrid matrix, the hybrid matrix defines a relationship between the unfiltered image and the multi-channel image data, calculates a vector of expected quantum particle counts, the vector having entries for each pixel in the image; and iii) selecting a vector of possible values for which, given a corresponding vector of expected quantum particle counts, a negative log-likelihood function describing the probability of the generated vector of measuring quantum particle counts is minimum; and for each of a plurality of types of fluorescent labels in the sample, constructing a corresponding data structure comprising image data, where, for each pixel, the data structure comprises an entry contributed by the fluorescent label type for a vector according to possible values for the pixel, such that each data structure is available to reconstruct an image of the sample, the spectral content thereof corresponds to a corresponding emission spectrum of the fluorescent label type for which the data structure is constructed.

The invention provides an edge searching method and device for laser cutting, electronic equipment and a storage medium, and the method comprises the steps that an edge searching starting point and an edge searching track are obtained, a point laser sensor is controlled to move to the edge searching starting point and move according to the edge searching track, and in the moving process of the point laser sensor, edge searching height data of the point laser sensor are obtained; determining N edge point positions according to the edge searching height data, wherein N is greater than or equal to 3; a plate vertex and an edge searching angle are determined according to the edge point position, a machining graph is corrected according to the plate vertex and the edge searching angle, a laser cutter is controlled to machine the plate according to machining parameters, and the determination speed of determining the plate vertex and the edge searching angle according to the edge point position is increased; since the point laser sensor does not need to follow the nozzle of the laser cutter to the plate surface, and the data stability of the point laser sensor is higher than that of a capacitance sensor when the point laser sensor is interfered by external factors, the determination speed and accuracy of the edge point position can be improved, and the edge searching accuracy and efficiency are further improved.

The invention discloses an oral jaw model presentation method, device and equipment and a storage medium. The method comprises the following steps: acquiring a jaw three-dimensional model; when the oral cavity is in a preset state and one jaw wears a jaw fork, acquiring facial three-dimensional model data, and determining the position of the first mark point; and determining a model relative position relationship between the face three-dimensional model data and the jaw three-dimensional model based on the other jaw. Under the condition that the oral cavity is in a preset state and the upper jaw and the lower jaw wear the jaw forks at the same time, a second mark point corresponding to the upper jaw and a third mark point corresponding to the lower jaw are determined according to the worn jaw forks respectively. According to the first mark point, the second mark point, the third mark point and the model relative position relation, the jaw model relative position relation between the upper jaw three-dimensional model and the lower jaw three-dimensional model is determined when the lower jaw moves, the three-dimensional oral jaw model is presented in a time-sharing jaw fork wearing mode, the consumed time is short, and the efficiency is high. Meanwhile, the accuracy of determining the relative position relation of the jaw model can be improved.

The utility model provides a lotus leaf tea fragrance capturing device, which relates to the technical field of flower fragrance collection and comprises an equipment shell, a control device arranged on the front side of the equipment shell, a breather pipe arranged at the top of the equipment shell, a support frame arranged at the top of the equipment shell, a gas collection tank arranged at the top of the equipment shell, and a gas concentration detector arranged at the top of the gas collection tank. A rubber sealing ring is arranged at the bottom of the air collection tank, an air guide plate is arranged on one side of the equipment shell, a placement plate is arranged on one side of the equipment shell, and an air guide turbine disc is additionally arranged at the top of the equipment shell, so that the air flowing speed and flow can be increased through the additionally arranged air guide turbine disc during use; the device is simple in structure and convenient to use, rapid spreading and capturing of fragrance are facilitated, the fragrance is more evenly distributed in the device, capturing efficiency is improved, meanwhile, the contact area of the fragrance and a capturing medium is enlarged, the adsorption effect is enhanced, and therefore more stable airflow is provided, normal operation of the device is maintained, the collection process of the fragrance is accelerated, and collection time is shortened.

The invention relates to the technical field of big data, can be applied to the field of financial science and technology, and discloses a data comparison method, device and equipment and a storage medium, and the method comprises the steps: obtaining the number of first records of a source data table, and obtaining the number of second records of a target data table; when the first record number is not the second record number, performing hash calculation on metadata in the source data table to generate a first hash value, and performing hash calculation on metadata in the target data table to generate a second hash value; when the first hash value is not the second hash value, obtaining a first field in the source data table, and obtaining a second field in the target data table; when the numerical value of the first field is not the numerical value of the second field, obtaining the accuracy rate of the target data table; and generating a data comparison result between the source data table and the target data table according to the difference value, the accuracy rate, the numerical value of the first field and the numerical value of the second field. The data comparison efficiency of the source data table and the target data table is improved.

The invention relates to a lamp bead position identification method and device, equipment and a product, and the method comprises the steps: constructing a lamp chain data structure according to the total number of lamp beads to represent the serial position of each lamp bead, and distributing each lamp bead to at least two lamp groups according to the serial position; a special color matching set of each lamp group is determined, and a unique color matching sequence of each lamp bead in the lamp group where the lamp bead is located is coded according to each color in the special color matching set; according to the color matching sequence corresponding to each lamp bead, a synchronous color developing instruction is constructed and sent to a lamp chain, and the lamp beads are driven to synchronously switch light colors; acquiring image frames corresponding to synchronous switching of light colors each time by using a camera unit to form an image sequence, and identifying a color developing sequence of the lamp beads according to the image sequence; and according to the correspondence between the color developing sequence and the color matching sequence, determining the spatial position of the lamp bead in the graphic space constructed by the image plane of the corresponding image sequence. According to the invention, the accuracy and efficiency of identifying the lamp beads can be improved.

The invention provides an acoustic emission detection system and method for inner leakage of a natural gas pipeline valve. The system comprises a first acoustic emission sensor mounted on an upstream pipeline, a second acoustic emission sensor mounted on a downstream pipeline, a signal acquisition machine and a signal processor. Wherein the first acoustic emission sensor is used for collecting acoustic signals propagating on an upstream pipeline. The second acoustic emission sensor is used for collecting acoustic signals propagating on the downstream pipeline. And the signal acquisition machine is used for performing amplification processing on the acoustic signal acquired by the first acoustic emission sensor to obtain a first acoustic signal and performing amplification processing on the acoustic signal acquired by the second acoustic emission sensor to obtain a second acoustic signal. The signal processor is used for determining inner leakage data of the valve based on the first sound signal and the second sound signal and determining inner leakage information of the valve based on the inner leakage data so as to achieve automatic detection of inner leakage of the valve, and the detection efficiency can be improved.

The invention discloses an equipment management and control modeling design method and equipment based on digital twinning and a medium, and relates to the technical field of equipment modeling, and the method comprises the steps: obtaining a construction twinning model and a plurality of management and control projects; obtaining a construction sub-model based on the construction twinborn model; acquiring a management and control process; acquiring equipment management and control modeling of the construction equipment, and managing and controlling the construction equipment based on the equipment management and control modeling after the management and control process is started; the method is used for solving the problems that in an existing equipment management and control modeling design method, when engineering equipment where an engineering project is located carries out various engineering projects, the actual engineering project process is affected due to the fact that the management and control position cannot be determined in time when the engineering project is switched only by determining the management and control position; and the engineering efficiency is reduced.

The invention discloses a vehicle time history response calculation method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a mass matrix, a damping matrix and a stiffness matrix of a to-be-tested vehicle; inputting the mass matrix, the damping matrix and the stiffness matrix into a pre-constructed time history response calculation model; according to the mass matrix, the damping matrix and the stiffness matrix, the time history response of the to-be-tested vehicle is calculated through a time history response calculation model; wherein the time history response comprises a displacement vector, a speed vector and an acceleration vector. According to the embodiment of the invention, the calculation efficiency can be remarkably improved while the calculation precision is ensured, and the method is suitable for time-history response analysis of the key structure of the commercial vehicle under the complex dynamic load.

The present invention relates to a high-resolution light field image reconstruction method, device, electronic device and storage medium, and belongs to the field of light field imaging technology. The present invention utilizes the electrically controlled focusing characteristics of a liquid crystal microlens array to realize the acquisition of different light field images. The acquisition process does not require frequent movement of the liquid crystal microlens array, which can reduce the acquisition time of the light field image and the required manpower and material resources, thereby improving the efficiency of the above-mentioned high-resolution light field image reconstruction method, and utilizes light field images at different focus positions to reconstruct high-resolution light field images based on a signal recovery method, so that the reconstruction process of the high-resolution light field image does not require the introduction of a high-resolution network, thereby making the above-mentioned high-resolution light field image reconstruction method easier to implement.

This invention relates to a super-resolution reconstruction method for UAV images of kiwifruit sunburn. Compared with existing technologies, it solves the problems of poor model generalization due to the lack of accurate modeling of the actual physical degradation of UAVs, and the difficulty of feature extraction networks in simultaneously considering global semantics and local high-frequency lesion details, resulting in blurred reconstruction. The invention includes the following steps: acquisition and preprocessing of UAV images of kiwifruit sunburn; generation of multi-scale paired datasets; construction of a super-resolution reconstruction model for kiwifruit sunburn images; training of the super-resolution reconstruction model for kiwifruit sunburn images; acquisition and preprocessing of UAV images; and super-resolution reconstruction of UAV images. This invention significantly eliminates boundary artifacts in image processing by constructing a multi-scale attention and spatial-frequency fusion mechanism, accurately restoring the high-frequency edge texture details of small lesions at different scales, and reducing data acquisition time.

The present invention discloses a method for processing a target material distribution image in a coherent imaging system, and belongs to the technical field of coherent imaging image processing. The method includes configuring a reference laser interference signal subdivision multiple so that the exposure trigger frequency is more than 2 times higher than the highest frequency of the light interference signal in the observation band; designing a special narrow-band bandpass FIR filter according to the characteristic absorption wavelength of the target material component to be measured, the reference laser wavelength, and the reference laser interference signal subdivision multiple; based on the area array coherent imaging technology, acquiring the interference signal data cube image frame by frame according to the exposure trigger frequency; sending the newly added frame image data of the data cube to the FIR filter for parallel real-time processing to obtain a two-dimensional normalized image of the material distribution; and obtaining a two-dimensional concentration distribution image with quantitative concentration based on the background removal processing of the normalized image. The present invention realizes synchronous calculation in the process of acquiring the coherent imaging data cube frame image, saves storage resources, and improves the material distribution imaging rate.

The present application discloses a path planning method, a terminal device and a computer-readable storage medium, the path planning method comprising: obtaining the current position of the camera, the camera comprising at least a first camera and a second camera; obtaining the position information of several defect positions to be detected of the board to be tested, and obtaining multiple combination schemes for allocating the several position information to the first camera and the second camera; calculating the path cost of each combination scheme, wherein the path cost at least comprises the first path length of the first camera and the second path length of the second camera; obtaining the combination scheme with the minimum path cost, and performing path planning for the first camera and the second camera according to the combination scheme with the minimum path cost. Through the method of the present application, several position information can be allocated to the first camera and the second camera according to the combination scheme with the minimum path cost, so that the acquisition path of the first camera and the second camera is the shortest, the image acquisition time is reduced, and the detection efficiency is improved.

The invention provides an oral cavity sample preservation device for the department of stomatology, and belongs to the technical field of oral cavity sample preservation devices. The threaded outer edge sleeve is installed at the top of the U-shaped pipe in a threaded mode, and the space between the threaded outer edge sleeve and the U-shaped pipe is filled with a first sealing gasket; the plastic pipe is arranged on the upper side of the threaded outer edge sleeve, the top of the plastic pipe is in bolted connection with a threaded top cover, and the space between the plastic pipe and the threaded top cover is filled with a second sealing gasket; the elastic diaphragm is used for moving the C-shaped swab, the elastic diaphragm tightly wraps the extension column by utilizing the flexibility of the elastic diaphragm, so that the C-shaped swab, the dental floss, the scraper blade and the thorn head carry an oral cavity sample to penetrate through the elastic diaphragm and then are completely isolated, a preservation solution and the oral cavity sample are completely isolated from air, and after the oral cavity sample is collected, the preservation solution and the oral cavity sample are ensured not to be in contact with the air; the preservation solution and the oral cavity sample are prevented from being polluted by environmental germs, and the accuracy of later oral cavity sample analysis data is improved.

The application discloses a current measurement method and device for a nanopore, computer equipment and a storage medium. According to preset rules, detection channels are grouped according to the number of the detection channels, and a plurality of detection channel groups are obtained. Each detection channel group is configured with the same protocol. After the existing grouping rules are used to group the detection channels, the same protocol is used for detection, so that each detection channel group can perform matched detection on the nanopore, and the integrity and accuracy of the nanopore detection data are ensured. According to user acquisition demand information and a preset channel sampling frequency, measurement time information of each detection channel in each detection channel group is determined to obtain measurement time corresponding to the user acquisition demand. The detection channels of the existing detection channels in different time intervals can be determined, and the acquisition time is reasonably distributed, so that the nanopore is processed to obtain acquisition data, the acquisition time is greatly shortened, and the acquisition efficiency is improved.