380results about How to "Get good" patented technology

The invention provides a heart multi-mode digital twinning simulation method and system, electronic equipment and a medium, and belongs to the technical field of digital twinning. The method comprises the following steps: S1, collecting multi-modal data of a heart; s2, preprocessing the acquired multi-modal data to obtain heart digital data; s3, based on the heart digital data, constructing a multi-modal digital twinborn model of the heart and optimizing the multi-modal digital twinborn model; s4, performing real-time simulation on the electrophysiological activity of the heart by using the optimized multi-modal digital twin model and using a Runge-Kutta method in combination with a PSO (Particle Swarm Optimization) algorithm; s5, based on the optimized multi-mode digital twinborn model and the simulation result, simulation and planning of virtual cardiac surgical treatment are carried out; and S6, dynamically evaluating the multi-modal digital twin model, and monitoring the state change of the heart in real time. According to the heart multi-mode digital twinborn simulation method and system, the electronic equipment and the medium, efficient simulation and real-time monitoring of the heart state can be achieved.

The invention relates to the technical field of bioinformatics, in particular to a gene pool data retrieval method and system and a storage medium. The method comprises the following steps: acquiring multi-source genome data, performing quality control on the multi-source genome data based on an FAIR principle, and performing efficient storage and indexing by utilizing a distributed storage system so as to obtain a distributed genome database; performing cross-species homology analysis on the distributed genome database, and constructing a multi-level evolutionary tree model, so as to obtain evolutionary relationship map data; mapping gene structures and functions among different species according to the evolutionary relationship map data so as to obtain cross-species gene mapping data; receiving retrieval query data input by a user; and performing query type identification on the retrieval query data to obtain optimized query data. Through the multilevel evolutionary tree model and cross-species gene mapping, gene function comparison and prediction among different species are realized.

The invention relates to the field of municipal sewage pipe networks, and discloses a sewage pipe network key node on-line monitoring index-based pipe network problem troubleshooting method, which comprises the steps of basic data collection, pipeline data information integration, and informatization integration of pipeline topology information and elevation data. Making a dynamic flow diagram of a pipe network, and making the dynamic flow diagram of the pipe network according to the elevation data and a field investigation result; a monitoring scheme and drainage partitions are formulated, monitoring points with high practicability, representativeness and feasibility are selected according to a pipeline flow direction relation graph and a monitoring point layout principle, and diagnosis partitions are divided according to the monitoring points; checking the monitoring data, wherein the checking comprises flow checking, liquid level checking and water quality calibration. Technical breakthrough is made in the aspect of pipe network troubleshooting, the risk troubleshooting range can be narrowed through information integration, data analysis and problem diagnosis, problem types and nodes can be diagnosed, the efficiency of urban pipeline troubleshooting is improved, and important practical value is brought to urban drainage pipe network troubleshooting work.

The invention relates to the technical field of ultrasonic measurement, in particular to a heart parameter measuring method and system. According to the heart parameter measurement method, the position of the heart is acquired, and the probe is finely positioned according to the position of the heart, so that the probe can accurately and quickly find and acquire the ultrasonic image at the standard section of the heart; then capturing a target standard section in the ultrasonic image by adopting a pre-trained self-supervised deep learning model; and finally, carrying out key frame extraction on the 2D echocardiogram video so as to measure a heart structure in a key frame to obtain heart structure parameters, cutting out a region of interest in the Doppler echocardiogram, and carrying out segmentation processing on the region of interest to obtain functional parameters of the heart. By means of the mode, various parameters of the heart can be accurately and efficiently obtained, full automation is achieved in the whole process, and the accuracy and consistency of various parameter test results of the heart are guaranteed.

The invention provides a coal rock impact tendency testing and evaluating method based on a dynamic strain gauge, which comprises the following steps: pretreating a coal rock structure standard test piece, performing a uniaxial compression test on the coal rock structure standard test piece, and acquiring a preset index test result of the coal rock structure standard test piece; constructing a model for evaluating the impact tendency of the coal rock structure based on a BP neural network algorithm; and taking the preset index test result as input, and obtaining the impact tendency grade of the to-be-tested coal rock structure test piece by using a BP neural network-based coal rock structure test piece impact tendency evaluation model. The invention further provides a coal rock impact tendency testing and evaluating system based on the dynamic strain gauge. According to the method, the accuracy and reliability of the impact tendency of the coal and rock mass are improved, the precision of the evaluation result is ensured, and the evaluation result of the impact tendency of the coal and rock mass is obtained more conveniently and efficiently.

The invention relates to the technical field of detection equipment, and provides a BFS product automatic lamp inspection machine aiming at the problem that the traditional row ampoule bottle detection efficiency is low, and the BFS product automatic lamp inspection machine comprises a control module, a feeding conveying mechanism, an inverted conveying mechanism, an inclined conveying mechanism, an upright conveying mechanism and a discharging conveying mechanism; the inverted conveying mechanism and the feeding conveying mechanism are used for conveying inverted row ampoule bottles; the inclined conveying mechanism is used for conveying the parallel-row ampoule bottles and enabling the parallel-row ampoule bottles to be turned over to be inclined from inverted; the upright conveying mechanism is used for conveying the parallel-row ampoule bottles and turning the parallel-row ampoule bottles from an inclined state to an upright state; the discharge conveying mechanism is used for conveying the ampoule bottles in rows and turning the mounting bottles from upright state to horizontal state; the inverted conveying mechanism, the inclined conveying mechanism and the upright conveying mechanism are each provided with an image obtaining assembly, the discharging conveying mechanism is further provided with a material removing assembly, and the image obtaining assemblies and the material removing assembly are both electrically connected with the control module. The device has the advantage that the row ampoule bottles can be conveniently detected.

The invention discloses a method for automatically testing an interface based on RPA. The method comprises the following steps: making a test plan; building a test framework; compiling a test script; performing integrated testing; executing the test script; analyzing a test result; and maintaining the test script. Based on an RPA tool, through a graphical interface and predefined operation, a tester can create an automatic test script without writing any code, and the tester can define a complex test process only through simple dragging, clicking and configuration; an RPA tool is generally designed to be visual and easy to use, even a tester without any programming experience can quickly master the RPA tool, and the tester can master the basic skill of automatic testing through simple training and practice; the RPA has a unique verification mode for the login system needing to be verified, targeted system verification can be carried out, and the login interface can obtain the token conveniently.

The invention discloses a robot patrol method based on user voice and a safety patrol robot, and the method comprises the steps: generating a three-dimensional map according to the position information of an object in a predetermined region; according to the RGB image and the coordinates of the articles in the three-dimensional map, labels are set for the articles in the predetermined area, and a semantic map is generated; and processing the voice information to obtain a target point label, calculating an action route according to the semantic map and the target point label, obtaining image information of the target point label, and replying to the user terminal. The semantic map with the article labels is formed according to the position information of the predetermined area and the article information, the labels and the positions of the corresponding articles are obtained by processing the obtained voice information, and therefore the robot moves to the article positions according to the semantic map to achieve patrol work based on user voice, the patrol efficiency of the patrol robot is improved, and the patrol robot experience is improved. And personnel can conveniently obtain related information of the safety problem at the first time.

The invention discloses a house subspace structure recognition method and device based on a CAD drawing, and relates to the technical field of computers.The method comprises the steps that a process for exporting house type subspace pictures from the CAD drawing is formulated, categories to be segmented are defined, the house type subspace pictures are labeled through the categories to obtain labeled files, and a house type subspace data set is constructed; training an AI model according to the house type subspace data set to obtain a segmentation result in the house type subspace picture; based on the segmentation result, obtaining the contour of the subspace described by the house type subspace picture through an image processing method; and identifying doors and windows in the contours of the subspaces described by the house type subspace pictures through a plurality of image processing methods to obtain position information of the doors and the windows.

The invention provides a front end assembly, an endoscope and an endoscope hydraulic control system, and belongs to the technical field of endoscopes. Comprising a front end base, a camera module and a pressure measuring mechanism, the camera module and the pressure measuring mechanism are both installed on the front end base, and the pressure measuring mechanism comprises a pressure measuring piece; the pressure measuring piece is movably arranged on the front end seat, the pressure measuring piece has a storage state and a working state, the pressure measuring piece is located in the front end seat under the condition that the pressure measuring piece is in the storage state, and at least part of the pressure measuring piece protrudes out of the far end face of the front end seat under the condition that the pressure measuring piece is in the working state; at least part of the pressure measuring piece is located in an image acquisition area of the camera module, and the pressure measuring piece can be driven by the pressure of the working environment corresponding to the front end assembly to move towards the interior of the front end base. The pressure measuring mechanism is arranged on the front end seat, and pressure change is detected by the pressure measuring mechanism, so that the accuracy of pressure regulation in a body cavity is improved, the hysteresis of pressure regulation in the body cavity is reduced, and the surgical risk is reduced.

The invention discloses a data indexing method and system, electronic equipment and a readable storage medium, relates to the technical field of databases, is applied to a data management system connected with a business system, and the data management system comprises a database and a search engine. Creating a target index of which the version type is the latest version in the first index type of the search engine; storing the latest version in a database, and determining a data synchronization state of the target index in the database; when it is detected that the target index completes data synchronization and it is determined that the target index is not abnormal, the data synchronization state of the target index is adjusted to be a completed state; and if a reading instruction sent by the service system is received and the index requirement corresponding to the reading instruction is the first index type, sending the latest version of the first index type stored in the database to the service system. The technical problem of low reliability of data indexing is solved.

The invention belongs to the technical field of ciphertext retrieval, and discloses a homomorphic encrypted ciphertext retrieval method and system based on a hardware encryption card, and the method comprises the steps: constructing a ciphertext database, encrypting large-scale document data based on an encryption algorithm realized by the hardware encryption card of an encryption server, and storing the encrypted data in the ciphertext database; the method comprises the following steps: constructing a ciphertext database containing encrypted data such as a ciphertext document and a homomorphic ciphertext index table, storing the ciphertext database in a cloud server, performing symmetric encryption on the document, and performing homomorphic encryption on keywords extracted from a full text of the document; and in the ciphertext document query step, a querier can input a keyword to query the ciphertext document content of the ciphertext database through the client, the cloud server and the encryption server are matched through the ciphertext keyword, the ciphertext document required by the user is retrieved in a ciphertext state, and an obtained ciphertext document information set is decrypted by the encryption server and then is returned to the client. According to the method, safe and efficient secret-state full-text search can be realized in a full-text search scene of a large-scale secret-state document.

The invention relates to the technical field of linear dimension measurement, in particular to a method and device for detecting the layer height dimension of a part for laser wire feed additive manufacturing, and the method comprises the steps: obtaining a to-be-detected image of the part for laser wire feed additive manufacturing, carrying out the denoising processing of the to-be-detected image to obtain a smooth image, and carrying out the processing of the smooth image, the method comprises the following steps: acquiring a binary image of a laser wire feed additive manufacturing part image to obtain a binary image, acquiring a seed contour located in the edge of the laser wire feed additive manufacturing part image according to the binary image, solving a pre-constructed image edge segmentation model, and inputting the seed contour as an initial evolution curve to perform image edge segmentation of the laser wire feed additive manufacturing part. And calculating the actual layer height size corresponding to the image edge. Therefore, the problem that in the related technology, a part edge positioning method based on a traditional edge detection operator is not high in detection precision and not high in robustness, so that the part edge positioning method is difficult to combine with a visual ranging scheme is solved.

The invention relates to the technical field of nano material preparation, in particular to a hydrophobing agent and a method for preparing hydrophobic white carbon black at low temperature by adopting the hydrophobing agent. Comprising the following steps that 1, 3-divinyl-1, 1, 3, 3-tetramethyldisilazane and 1, 1, 1, 3, 5, 5, 5-heptamethyltrisiloxane are mixed, a Pt catalyst is added, the mixture enters a micro-channel reactor, a heating reaction is carried out, the mixture enters a reaction kettle to continue a stirring reaction, reaction heat in the micro-channel reactor is used for heating the reaction kettle, and unreacted components are removed; distilling to obtain a water repellent agent, and recycling a kettle substrate as a catalyst; the preparation method comprises the following steps: mixing white carbon black and a hydrophobic agent under the protection of nitrogen or inert gas, and heating and stirring to obtain the hydrophobic white carbon black. The hydrophobic agent disclosed by the invention contains a silicon-nitrogen bond with good reaction activity and is rich in lipophilic trimethylsiloxy. The silicon-nitrogen bonds can be effectively reacted and grafted with the surface of the white carbon black to form stable chemical bonding.

The invention discloses a magnetizing inrush current suppression method and system during closing of a distribution transformer. The method comprises the following steps: acquiring three-phase voltage and current waveform data before and after tripping of a primary side circuit breaker of the distribution transformer; measuring and calculating the residual magnetism of the primary side winding according to the voltage and current data, and determining a closing phase sequence by the minimum residual magnetism in order to avoid dispersive errors of the circuit breaker; determining the specific closing time of the transformer according to the residual magnetism information; only the voltage and current waveform data before and after the primary side circuit breaker is switched on need to be collected, the residual magnetism is measured and calculated, and the switching-on phase sequence and the switching-on time of the circuit breaker are determined, so that the magnetizing inrush current during switching-on of the distribution transformer is inhibited. According to the method, the actual condition of the power distribution network is fully considered, parameters are easy to obtain, the operation is completed within a period after the inherent closing time of the circuit breaker, the speed is high, the principle is deeper, the closing phase sequence and strategy are clear, operability is high, and the method is suitable for various scenes of the power distribution network.

The invention discloses a method for producing pectinase by using trachycarpus racemosus based on a single factor test and application, and the method comprises the following steps: selecting a fermentation strain, setting a solid state fermentation culture medium, setting fermentation culture conditions, inoculating the fermentation strain into the solid state fermentation culture medium, testing the performance of pectinase, and determining the content of pectinase according to the test result. And optimizing the solid-state fermentation culture medium and the fermentation culture condition to obtain the optimal solid-state fermentation culture medium setting condition and the optimal fermentation culture condition. Compared with the prior art, the method has the advantages that the quantity and vitality of spores are remarkably improved by selecting the trachycarpus racemosus strains as the fermentation strains, so that the vitality and production efficiency of the strains to be fermented are improved, and the optimal solid-state fermentation culture medium setting conditions and the optimal fermentation culture conditions are obtained by optimizing the solid-state fermentation culture medium setting conditions and the fermentation culture conditions; the optimized pectinase product is obtained under the optimized condition, and the pectinase product has high activity and excellent high temperature resistance and acid resistance, so that the application range of pectinase is widened.

The invention discloses a data remote transmission control method and system for well opening between oil and gas fields, and the method comprises the steps: transmitting respective corresponding first target data through each determined first target transmission line, and achieving the same-time and different-line transmission of relatively large-capacity data; and each group of second target data is transmitted through the second target transmission line, so that time-divided and same-line transmission of relatively small-capacity data is realized, classified transmission of well opening data and well closing data under different working conditions of the oil and gas field is realized, the probability of congestion in data transmission of the oil and gas field can be effectively reduced, and the transmission efficiency of the oil and gas field is improved. And particularly, the well opening data and the well closing data of the oil and gas field can be directly and conveniently obtained, so that the intermittent well opening control can be timely performed according to the well opening data and the well closing data of the oil and gas field, and the processing efficiency of remote control on the oil and gas field can be improved.

The invention discloses a heart and cerebral vessel early warning model based on vulnerable plaque image recognition. The model comprises the following steps: acquiring heart and cerebral vessel data of a patient; performing image preprocessing and data labeling on the cardiovascular and cerebrovascular data of the patient to obtain three-dimensional cardiovascular and cerebrovascular data, and establishing a vulnerable plaque recognition model by using a first convolutional neural network according to the three-dimensional cardiovascular and cerebrovascular data; extracting a three-dimensional blood vessel image, establishing a fluid simulation model for the three-dimensional blood vessel image, and acquiring blood flow information by using the fluid simulation model; according to the output of the vulnerable plaque recognition model and the blood flow information, obtaining rupture inducements and early warning information, inputting the rupture inducements and the early warning information into a second convolutional neural network model, and constructing an early warning model; detailed data information of the vulnerable plaque can be directly and conveniently obtained, and manpower and material resources are saved for diagnosis and treatment; the method provides accurate and powerful reference for doctors to diagnose and treat vulnerable plaques, and is beneficial to early discovery of high-risk groups with cardiovascular and cerebrovascular diseases.

The invention discloses a deep tissue oxygen partial pressure monitoring method and system, and relates to the technical field of oxygen partial pressure monitoring, and the method comprises the following steps: adding a coupling probe into a deep tissue; the method comprises the following steps: exciting a coupling probe in a deep tissue by using an X-ray source so that the coupling probe emits fluorescence in a specific spectrum band, collecting a fluorescence image of the fluorescence in the specific spectrum band, irradiating a deep tissue sample by using an external light source, and collecting a white light image of the deep tissue every certain angle; converting each white light image into a binary image; performing three-dimensional reconstruction on the converted binary image, and constructing a three-dimensional surface contour of the deep tissue; sampling points are uniformly selected from the three-dimensional surface contour, the fluorescence image is mapped to the three-dimensional surface contour of the deep tissue according to the structural relation between the fluorescence image and the three-dimensional surface contour, and three-dimensional light intensity distribution of the coupling probe is obtained; according to the three-dimensional light intensity distribution and the Stern-Volmer equation, the three-dimensional partial pressure of the deep tissue is obtained, and rapid and convenient monitoring of the oxygen partial pressure of the deep tissue is achieved.

The invention relates to the technical field of air compressor operation state monitoring, and particularly discloses an air compressor operation state monitoring data processing method and system. Acquiring and processing parameters of each sensor of the air compressor at each abnormal moment in a preset time period before the current moment; based on each missing moment and all abnormal moments of each sensor of the air compressor in a preset time period before the current moment, acquisition and filling parameters of each sensor of the air compressor in each missing moment in the preset time period before the current moment are obtained, and then the monitoring coefficient of each sensor of the air compressor in the current moment is obtained; and according to the monitoring coefficients of all the sensors of the air compressor at the current moment, an air compressor operation state monitoring result at the current moment is obtained. According to the invention, the monitoring result can be accurately obtained under the condition that the sensor fails or the precision is insufficient.

The invention provides an ozone concentration prediction method and device, electronic equipment and a readable storage medium, and belongs to the technical field of environmental monitoring, the method comprises the following steps: determining target ozone concentration data in a target area, the target area being an area where a monitoring point corresponding to the target ozone concentration data is located; determining a target fitting regression equation matched with the target ozone concentration data according to the monitoring points and the meteorological data corresponding to the monitoring points; and inputting the target ozone concentration data into the target fitting regression equation to obtain predicted ozone concentration data of the target area. According to the ozone concentration prediction method and device, the electronic equipment and the readable storage medium provided by the invention, the ozone concentration prediction accuracy can be improved.

The invention discloses a CIM model-based forest and grass carbon sink analysis method in a project development area. The method comprises the steps of 1, inputting original landform information of a city model in the project development area into a CIM platform; 2, inputting a project model to be developed into the CIM platform; 3, supplementing model information; 4, vegetation information in the original landform information is analyzed and collected; 5, calculating forest grass vegetation carbon sink efficiency in the original landform information; 6, simulating and analyzing the change condition of forest grass vegetation and the change condition of carbon sink in the project construction stage through a CIM platform; 7, simulating and analyzing the vegetation reconstruction condition after the project is built through a CIM platform; 8, calculating forest and grass vegetation reconstruction carbon sink efficiency through a CIM platform; and 9, evaluating the carbon sink influence in the project development period. The invention relates to the technical field of building engineering, and can solve the problem that the building design carbon sink analysis decision-making capability is reduced due to inconvenient acquisition of carbon sink calculation data in the prior art.

The invention provides a remote sensing method for improving the thickness estimation precision of accumulated snow on the surface of north pole sea ice. According to the method, firstly, the monthly-scale actually-measured accumulated snow thickness (ASD) is obtained through the active microwave technology; then, by analyzing AMSR-2 brightness temperature data provided by the American snow and ice data center, the polarization ratio (PR) and the spectral gradient ratio (GR) of different channels are calculated; meanwhile, daily snow density data (sden) of the American snow and ice center is converted into monthly snow density data. Thirdly, performing space matching on the processed data and measured data of one-year ice and multi-year ice provided by OSI SAF, and extracting key variables based on importance features; by selecting appropriate variables and machine learning and deep learning models for training, a model combination with the best correlation, the minimum deviation and the lowest root mean square error (RMSE) is screened out to estimate the surface accumulated snow thickness of one-year ice and multi-year ice. Besides, different sea ice types are distinguished by using the sea ice type data of the OSI SAF, and a specific model is applied to each type, so that long-time sequence data of the thickness of the accumulated snow on the surface of the north pole sea ice is obtained. According to the method, by integrating active and passive microwave remote sensing observation data and an advanced deep learning method, the remote sensing estimation precision of the sea ice surface accumulated snow thickness is remarkably improved.

The invention provides a user interface similar element identification and analysis method and system, a storage medium and electronic equipment. The method comprises the following steps of obtaining a rectangular region where a to-be-identified similar element is located in a user interface image; preprocessing the user interface image to obtain a user interface grayscale image; for different adjustment parameters, performing gray adjustment on each pixel in the user interface gray image to obtain a gray adjustment image; constructing a similar element rectangular region group for each gray level adjustment image; for each similar element rectangular region group, screening the contained similar element rectangular regions to obtain an effective similar element rectangular region group; and calculating a score value of the effective similar element rectangular region group. According to the user interface similar element identification analysis method and system, the storage medium and the electronic equipment, automatic identification of the similar elements of the user interface can be realized only by the screenshot, and the accuracy is high.

The invention provides an interactive numerical simulation area setting method and device and electronic equipment, and the method comprises the steps: obtaining an area setting parameter set; determining a target coordinate of each target vertex in each layer of nested region based on a region setting parameter set; calculating grid number indication data of each layer of nested region based on the target coordinates of each target vertex in each layer of nested region; determining a parent region of each layer of nested region, and determining an index of each layer of nested region in the corresponding parent region based on a target coordinate of a reference vertex in each layer of nested region; and filling the grid number indication data of each layer of nested region and the index of each layer of nested region in the corresponding parent region into a numerical simulation region configuration file, so that the numerical simulation region configuration file is used for supporting the operation of the target numerical model. According to the embodiment of the invention, the numerical simulation area configuration file can be conveniently obtained, so that the labor cost is reduced.

The invention provides a scenic spot passenger flow information display method and a program product. The scenic spot passenger flow information display method comprises the following steps: receiving a detection result that to-be-displayed scenic spot information contains passenger flow data and the passenger flow data is undistorted; and displaying future passenger flow information of the scenic area in a terminal application, including adding graphical expressions of future passenger flow data in a search result page scenic area card, a home page recommendation scenic area card, a channel list page scenic area card and / or a scenic area detail page, the graphical expression at least comprises time period information and a graphical label representing the future passenger flow crowdedness degree of the scenic area. The method can present future time-sharing passenger flow information of the scenic spot in different display scenes such as recommendation, search, lists and details in a terminal application for providing scenic spot information, is used for helping users to decide travel time periods and explore scenic spots with few scenery beauty, and can simultaneously guide the scenic spots, assist the scenic spots to manage tourists and realize off-peak travel.

The invention belongs to the technical field of fire-fighting monitoring, and particularly relates to a fire-fighting monitoring and early warning system based on project fire analysis. The fire-fighting monitoring and early warning system comprises a data acquisition module, a data transmission module, a fire behavior analysis module, an early warning and alarm module, a user interface module, a data storage and management module, a remote monitoring and control module, a system integration and expansion module and a safety and authority management module. Through the advanced data acquisition, analysis and management functions, the accuracy and efficiency of fire detection and response are improved, the user interaction experience and the system compatibility are enhanced, powerful support is provided for fire safety management, the comprehensiveness, the safety and the flexibility are realized, and meanwhile, the safety of the system is improved. And the total operation cost and the safety risk are reduced.

The invention discloses a bacillus preparation, a bacillus compound preparation and application of the bacillus preparation and the bacillus compound preparation in increasing ferrophosphorus in soil, and belongs to the field of plant nutrition and microbiology. The preparation method comprises the following steps: centrifuging a bacterial solution of bacillus 1603IPR-02, and collecting supernate to obtain the siderophore preparation. The siderophore preparation is applied to crop root systems, southern soil or compounded with phosphate tailings to form a bacillus compound preparation to be applied to crops, plant growth can be promoted, plant biomass can be increased, meanwhile, the siderophore preparation has the efficient Fe-P activation capacity, Fe-P insoluble in soil is converted into phosphorus and iron capable of being utilized by plants, and the utilization rate of the Fe-P is increased. The bio-availability of soil nutrients is improved, and the absorption of crops on phosphorus and iron in soil is promoted. When the bacillus preparation or the bacillus compound preparation is used for treating pakchoi, the dry weight, the phosphorus content and the iron content of the pakchoi as well as the quick-acting phosphorus content and the effective iron content of soil can be increased. When applied to crops, the preparation has the characteristics of no pollution, no residue and biological environmental protection.

The invention relates to the technical field of medical instruments, and particularly discloses an intelligent control method and system for a physiotherapy instrument, and the method comprises the steps: carrying out the analysis of all skin collection parameters and all electric pulse microneedle parameters of a patch of the physiotherapy instrument at each moment in an analysis time period; the control quantity of each type of electric pulse microneedle parameters of the physiotherapy instrument patch at the current moment is obtained; based on the control quantities of all kinds of skin collection parameters and all kinds of electric pulse microneedle parameters of the physiotherapy instrument patch at the current moment, a drug administration amount analysis matrix at the current moment is obtained, and based on the drug administration amount analysis matrix at the current moment, a drug administration judgment result of the physiotherapy instrument patch at the current moment is obtained; and obtaining an intelligent control result of the physiotherapy instrument at the current moment based on the control quantity of all the similar electric pulse microneedle parameters of the physiotherapy instrument patch at the current moment and the administration judgment result. According to the invention, the amplitude, frequency, dosage and other parameters of the microneedle are automatically adjusted according to the biological signal of the patient, and the maximization of the treatment effect is ensured.

The invention relates to a target content adjusting method and device, a medium and electronic equipment. The method comprises the steps of obtaining target content to be displayed, and determining that the target content comprises text content and an anchor text used for being displayed on the target content exists; determining whether a first display area where the text content is located and a second display area where the anchor text is located are overlapped or not; under the condition that the first display area and the second display area are overlapped, the display mode of the text content and / or the display mode of the anchor text are / is adjusted. By the adoption of the mode, the effective information display amount can be increased, a user can obtain more information conveniently, and the experience of watching the target content by the user is improved.