126results about How to "Accurate conversion" patented technology

The invention discloses a voice control implementation method and system based on a large model, belongs to the technical field of artificial intelligence, and aims to solve the technical problems of insufficient recognition precision, low response speed and limited complex context processing capability in voice control. Comprising the following steps: analyzing a user voice instruction into a text instruction through a voice recognition model; performing semantic feature extraction on an input text instruction through a pre-trained text embedding model, and outputting a text embedding vector as a to-be-recognized text embedding vector; searching whether a text embedding vector similar to the to-be-identified text embedding vector exists in a pre-constructed vector database, if not, executing text analysis, and if yes, returning corresponding control information from the vector database; and taking the text instruction and the question statement as input, performing semantic analysis through a pre-trained large language model to obtain control information, and storing a text embedding vector corresponding to the current user voice instruction and the control information into a vector database.

The invention discloses a communication method for an enterprise network and remote router equipment of a DCS (Distributed Control System). A communication adaptation module is arranged at an enterprise network end and comprises a protocol conversion unit, a data encryption unit, a flow regulation and control unit and a timestamp embedding unit; the far-end router equipment end is provided with a corresponding reverse communication adaptation module. Two-way interaction of data and control instructions is realized through a two-way communication link, and a dynamic link detection and repair sub-module is configured to guarantee stability of the link. According to the method, the problems of protocol compatibility, data security, flow regulation and control, time management, link maintenance and the like are solved, the communication efficiency and quality are improved, efficient, safe and stable operation of remote communication and control functions of the DCS in industrial production is ensured, and the method has a good application prospect.

According to the front-end and rear-end separated data processing method and device provided by the embodiment of the invention, the protocol recognition engine is realized by constructing the interface platform service framework and adopting the type script language, so that unified interface management is realized. Class attributes and class method definition instructions are innovatively designed, and identity token verification and data formatting functions are integrated. The system ensures data security through identity label matching and authority verification, establishes a reliable data communication link by using a network socket, and realizes accurate conversion of front-end and rear-end data through a data formatting unit. According to the method, the limitation of a traditional front-end and back-end framework is broken through, and an efficient and safe data processing solution is provided for modern web application.

The embodiment of the invention provides a smart home scene generation method and device, equipment and a storage medium, and the method comprises the steps: obtaining text input information, and extracting key information from the text input information; at least one sub-scene is obtained through matching according to the key information; and combining the at least one sub-scene to obtain a smart home scene. Through the natural voice processing technology, the natural language text input by the user is analyzed, the smart home scene corresponding to the corresponding smart home control instruction is automatically generated, the operation process of the user is simplified, the creation process of the smart home scene is simplified, and the user experience is improved. The natural language requirement of the user can be quickly and accurately converted into the specific equipment control instruction, the intelligent degree is high, and the user experience is improved.

The invention discloses a bar code label designing and printing method and system based on an ARM framework and a storage medium. The method comprises the steps that a label template adding instruction is received, a user is prompted to set basic attributes of a label template, the basic attributes are stored, a label design page is initialized, and at least one label control object is preset in the page; in response to a selection instruction of a user for the label control object, adding the selected label control object into the label template, adjusting the attribute of the label control object according to user operation, and generating a label design effect preview; receiving a saving instruction, and prompting a user to confirm the saved information; receiving a storage confirmation instruction, analyzing the label template and converting the label template into a template definition file; compressing the template definition file to generate a label template compressed package; receiving a label printing instruction, decompressing and analyzing the template compressed package, and obtaining a label printing language; generating a printing instruction set according to the label printing language; and printing scheduling is carried out based on a preset scheduling mode, and the printing instruction set is output to a printer.

The invention relates to the technical field of vibration sensors, and discloses a miniaturized digital vibration sensor, which comprises a shell, one side of the shell is connected with a shell cover, and one side of the shell cover is provided with a detection assembly for detecting vibration; the detection assembly comprises a shielding seat and a connecting rod, one side of the top of the shielding seat is provided with a magnet, and the top of the magnet is provided with a magnetic core; a coil sleeving the outer side of the magnetic core is adhered to the bottom of the connecting rod; a ruby in contact with a to-be-detected object is fixed at the top of the connecting rod; the inner wall of the shell cover is in threaded connection with a pressing ring, the top of the pressing ring is connected with a second spring piece, the top of the second spring piece is connected with a supporting frame, when vibration is generated through rotation of the bearing, the ruby makes contact with an outer ring of the bearing and transmits the vibration to the connecting rod, and the connecting rod drives the coil to move on the outer side of the magnetic core, cuts magnetic lines of force and generates induction voltage. The electromagnetic induction principle ensures that a vibration signal can be accurately converted into an electric signal, so that high-precision vibration measurement is realized.

The invention provides a file conversion method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining initial table data and key table header item information, determining a column number and a column name of each table header in the initial table data, determining a to-be-processed hash table based on the column number and the column name of each table header in the initial table data, and converting the to-be-processed hash table into a to-be-processed hash table; traversing the to-be-processed hash table according to the predefined header enumeration object, determining an index value according to an index state of each enumeration item of the predefined header enumeration object in the to-be-processed hash table, labeling each enumeration item according to the index value to obtain a to-be-processed header enumeration object, and processing the to-be-processed header enumeration object according to the to-be-processed header enumeration object. If each key header item in the to-be-processed header enumeration object exists, performing format conversion on the initial table data according to the to-be-processed header enumeration object to obtain a target format file; according to the method and the device, the key information is dynamically identified by creating the hash table, processing is performed based on the actually existing header information, dependence on a preset fixed format is avoided, and more efficient and more accurate file conversion is realized.

The invention relates to the technical field of artificial intelligence, in particular to a translation method and device based on a language translation model.The method comprises the steps that in target medical equipment, a preset translation plug-in is loaded, and the preset translation plug-in is used for conversion of multiple languages; running the preset translation plug-in, and translating a to-be-translated text in the target medical equipment to obtain a target language text; and displaying the target language text in a display interface corresponding to the target medical equipment. According to the method, the preset translation plug-in is loaded in the target medical equipment, automatic conversion of multiple languages can be realized, the translation efficiency is greatly improved, the time and the cost of manual translation are reduced, and the to-be-translated text in the target medical equipment is translated by running the preset translation plug-in, so that the translation efficiency of the to-be-translated text in the target medical equipment is improved. The text can be quickly and accurately converted into the target language text, it is ensured that a user can operate and understand the text through a native language or a familiar language, and the user experience is improved.

The invention discloses an automatic contract management and control method, and relates to the technical field of automatic management and control, and the method comprises the steps: constructing a constraint condition of a data extraction frequency according to the maximum change frequency of contract data and the load capacity of a platform architecture in the data; constructing a contract data conversion rule base, and quantifying the initial data conversion complexity according to the algorithm complexity, the data type and the connection depth of a conversion rule; obtaining a plurality of conversion arrays; carrying out ETL (Extract Transform and Load) by respectively applying the conversion arrays, acquiring resource occupation data, delay data and conversion quality data in an ETL process, and constructing an ETL evaluation model; the output of the ETL evaluation model corresponds to the conversion array, a three-dimensional effect display model is constructed, a selected conversion array is obtained and applied to contract automatic management and control, and the problem that it is difficult to meet the real-time requirement and balance of diversified data processing at the same time between the data extraction frequency and the data conversion complexity is solved.

The invention provides a rock mineral micromechanical evolution characterization method based on a convolutional neural network. The rock mineral micromechanical evolution characterization method comprises the following steps: step 1, obtaining rock sample micromechanical properties through a nanoindentation experiment; 2, performing deconvolution statistical analysis by using a Gaussian mixture model, and obtaining mechanical and volume fractions of each phase through a nanoindentation experiment; step 3, utilizing a Mori-Tanaka scale upgrading method to understand a convolution result, and performing rock macromechanical property prediction in combination with a convolutional neural network; and step 4, performing precision checking calculation on an output result of the convolutional neural network model until the prediction precision meets a preset requirement. According to the method, the microscopic mechanical parameters of the rock sample are obtained through the grid nanoindentation, statistical analysis is carried out on the nanoindentation test result by utilizing a deconvolution method, the mechanical property of the macroscale of the rock is obtained in combination with machine learning and a scale upgrading model, and a bridge for connecting the macroscale and the microscale is established; the method can effectively solve the problem of inaccurate prediction of rock micromechanical parameters on the macroscale and the problem of mechanical property characterization caused by scale difference.

The invention discloses an embedded lattice screen display system based on a QT graphics library. The embedded lattice screen display system comprises an interface design layer, an interaction layer, a lattice conversion layer and a display driving layer. According to the efficient interface design method, the operation process is simplified, the interface design efficiency is improved, and rich graphic display is supported; a universal UI display frame is also established, so that the UI display frame can flexibly interact with a plurality of service applications, display is dynamically adjusted according to contents provided by the service applications, and expansibility is enhanced; an effective mechanism is designed, accurate conversion from a QT interface to a two-dimensional dot matrix array and stable display driving from the two-dimensional array to a dot matrix screen are achieved, and the transplantation capacity is improved; and a preview function in the development process is also provided, so that the development efficiency and accuracy are improved.

The invention discloses a method and a system for calibrating a conversion relation between two roadside sensors, and relates to the technical field of roadside sensor calibration. The method comprises the following steps: calculating an error distance between a position coordinate of a position coordinate obtained by a camera device in a coordinate system used by a bird's-eye view and a position coordinate of a position coordinate obtained by a radar in the coordinate system used by the bird's-eye view, and judging whether the error distance is smaller than a preset error distance threshold to obtain a judgment result; and when the judgment result is yes, determining the conversion relation between the camera device and the radar according to the position coordinate of the position coordinate obtained by the camera device in the coordinate system used by the aerial view and the position coordinate of the position coordinate obtained by the radar in the coordinate system used by the aerial view. Based on judgment of the error distance, a more accurate conversion relation can be obtained, and accurate conversion of position coordinates in different coordinate systems is achieved.

The present invention discloses a natural language query and conversion control system and method, and belongs to the field of natural language query and conversion control technology. It includes: collecting a number of natural language conversion records, the records include natural language fields and SQL fields, identifying placeholder SQL fields and placeholder language fields; obtaining all feature entities in the natural language field, and obtaining a feature coefficient threshold; obtaining a target natural language field, obtaining a feature coefficient corresponding to the target natural language field, and obtaining a placeholder language field in the target natural language field; inputting the target natural language field and the placeholder language field into a pre-trained language model to obtain a complete SQL field. The present invention first analyzes the conversion record to obtain a feature coefficient threshold that can be used for placeholder, and then finds the placeholder language field in the target natural language field, and then obtains the SQL field, and according to whether the placeholder is used, a more accurate conversion from natural language to SQL statement is achieved.

The invention relates to the technical field of intelligent medical treatment, and discloses a pancreatic cancer evolution simulation and dynamic intervention system based on multi-model driving, and the system comprises a multi-source data fusion module which is used for accessing and processing patient data, and forming a multi-dimensional feature set; the model fusion construction module is integrated with a model coupler and can construct a patient-specific integrated calculation model; the twinborn calibration generation module is used for generating pancreatic cancer digital twinborn matched with the initial state of the patient; and the evolution simulation and intervention module is used for running the pancreatic cancer digital twins, simulating the natural evolution trajectory of the tumor and carrying out quantitative simulation on the input virtual treatment scheme effect. According to the method, by constructing the patient-specific digital twins, normal form transformation from static diagnosis to dynamic prediction is achieved, and a quantitative evaluation basis can be provided for selection of clinical treatment schemes.

The utility model discloses a water running joystick simulation device for armored vehicle simulation training, and belongs to the field of military training equipment. Comprising two control device handle assemblies. The operating device handle assembly comprises an operating rod weldment and a rotation angle monitoring mechanism, the operating rod weldment comprises a driving gear, and the driving gear is meshed with the rotation angle monitoring mechanism; the rotation angle monitoring mechanism is used for monitoring the rotation angle of the driving gear. The value range of analog quantity is amplified through meshing transmission of the driving gear and the driven gear, and accurate acquisition and conversion of analog quantity signals are achieved in cooperation with the high-precision angle sensor.

The invention belongs to the technical field of PDF (Portable Document Format) file analysis, and provides a method, a system and a device for identifying cross-row and cross-column cells in a PDF-to-Word scene and a medium, the method comprises the following steps: S1, obtaining all closed graphic information through a PDF table identification method, the closed graphic information comprising top, bottom, left and right information; s2, classifying closed graphs, and combining the closed graphs into row information of a table; s3, column information initialization is carried out in the second stage, wherein closed graphs are classified and combined into column information of a table; s4, calculating cross-row and cross-column numbers; and S5, completing table construction according to the calculated cross-row and cross-column numbers. By adopting the method, after the closed rectangle in the PDF is identified, the complete and accurate table can be accurately identified, so that the table information can be accurately and completely converted under the scene of converting the PDF into Word, and the method is realized by using a pure algorithm, does not need any three-party tool, and has a great speed advantage.

The utility model relates to the technical fields of monitoring device for wire icing thickness detection, disclose a monitoring device for wire icing thickness detection, include: bottom plate, the top of bottom plate is solid equipped with two groups of support frame, and the top of support frame is fixedly arranged with the support plate, be arranged with the wire between the support frame, the wire is connected through the support plate of tension assembly arranged on the support plate support plate, one side of support frame is equipped with the shake -off subassembly, the shake -off subassembly includes the casing of arrangement on the support frame, the inside of casing is equipped with the moving link, is used for shaking the wire, through the wire of the collar fixed of tension assembly, the weight change after icing is passed to the tension sensor through the pull rod, and the signal transmission of sensor reaches the controller conversion icing thickness, when the thickness reaches threshold value, the controller starts the shake -off subassembly, and the motor drives the cam to drive the moving link high -frequency shake -off wire, and the spring cooperation ensures the stable shaking.

The present application provides a 5G information conversion method, device, equipment and storage medium, which relates to the field of communication technology. The method includes: detecting whether the target terminal is a 5G terminal; if the target terminal is the 5G terminal, obtaining the network status of the target terminal; combining the network status of the target terminal and the reception data of the historical 5G information, evaluating the receiving ability of the target terminal to 5G information; obtaining the information characteristics of the 5G information to be sent to the target terminal; combining the custom receiving mode of the target terminal, the information characteristics and the receiving ability of the target terminal to 5G information, converting the 5G information to be sent to the target terminal, obtaining the target information, and sending the target information to the target terminal. The technical effect of the present application is: improving the efficiency of information transmission.

The application relates to the technical field of big data, and discloses a database conversion method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring to-be-converted database data; analyzing the to-be-converted database data to obtain a node set and hierarchical attributes of each node; performing framework updating on the node set according to the adaptation degree corresponding to the hierarchical attributes to obtain target framework database data; and performing database conversion on the target framework database data according to target data configuration information to obtain target database data. The method can more smoothly perform database conversion.

The invention discloses a method and a system for calibrating a conversion relation between two roadside sensors, and relates to the technical field of roadside sensor calibration, and the method comprises the steps: carrying out the time alignment of a first preset roadside sensor and a second preset roadside sensor; obtaining a first track set corresponding to the first preset roadside sensor and a second track set corresponding to the second preset roadside sensor; respectively sampling from the first track set and the second track set, then determining a current homographic transformation matrix, and calculating a third track set of all tracks which are not sampled in the second track set in the coordinate system used by the first preset roadside sensor; and calculating an average distance between the first track set and the third track set, judging whether the average distance is smaller than a preset distance threshold, and if so, determining the current homography transformation matrix as a final homography transformation matrix. According to the method, a more accurate homographic transformation matrix can be obtained, and accurate transformation of position coordinates can be realized.

The invention discloses a hydroelectric overhaul tool sorting method based on a SqueezeNet convolutional neural network model. The method is suitable for various tools such as wrenches, screwdrivers and sleeves. The method comprises the following steps: firstly, acquiring a maintenance tool image in a backlight environment, and removing background interference through an image preprocessing technology to generate a clear target binary image; in order to solve the problem of insufficient samples, data enhancement means such as expansion, corrosion and rotation are adopted to expand a training set. And then, deep learning training is carried out by using a SqueezeNet model, parameters are adjusted in combination with a cross entropy loss function and a gradient descent optimization algorithm, and finally, a high-precision recognition model is obtained. In addition, hand-eye calibration of the visual system and the mechanical arm is completed through a nine-point calibration method, and accurate conversion from image coordinates to mechanical arm action coordinates is ensured. In actual operation, stacked tools are separated through the flexible vibration disc, then the visual system collects images of the single tools, the types and the positions of the single tools are recognized through the model, and the mechanical arm is guided to conduct accurate grabbing.

The utility model discloses a linear motor counterweight device which comprises a counterweight box, an adjusting device is installed on the counterweight box, the adjusting device comprises a fixed sleeve, a shifting sleeve, a moving rod, a moving sleeve, a moving groove, an inserting groove, an inserting rod, a connecting spring, a pressing plate, a moving block and a moving plate, the moving rod penetrates through the fixed sleeve in a sliding mode, the moving groove is formed in the fixed sleeve in an inclined mode, and the moving block is arranged in the moving sleeve. The inserting groove is formed in the moving block, the inserting rod is connected to one side of the pressing plate, the moving block is connected to one side of the moving plate, a locking mechanism is installed on the outer side of the fixing sleeve, and the locking mechanism comprises a transverse plate, an arc-shaped rod, an arc-shaped spring, a return block, a matching groove, an arc-shaped hole, the fixing block, a longitudinal plate and a matching plate. According to the utility model, not only can the thrust applied by the spring be flexibly adjusted according to linear motors of different models and working condition requirements, but also the long-term stability of parameters after adjustment can be ensured.

The invention relates to the technical field of pressure controllers, in particular to a pressure controller with a terminal equipped with a buffer structure, which comprises a main shell, a pressure leading port, a pressure sensing regulation and control element, a wiring bin, a touch control module and a corrugated rod, the wiring bin extends to form a neck tube for anchoring a lead, and an inner hole of the neck tube is arranged to be a variable cross-section zigzag hole channel; a self-locking thread is arranged on the peripheral surface of the neck tube; the touch module comprises a signal terminal and an insulating base, the insulating base extends out of a flexible cantilever beam abutting against the inner wall of the wiring bin, and the thickness of the flexible cantilever beam is gradually reduced in the extending direction; the corrugated rod is connected between the pressure sensing regulation and control element and the touch control module. Dragging of an external lead is blocked through the wiring bin with the self-locking threads and the labyrinth channel, vibration is absorbed through the flexible cantilever beam touch control module, and flexible transmission is carried out in combination with the corrugated rod; the purposes of intercepting mechanical interference, maintaining terminal stability and ensuring accurate signal output of equipment under complex working conditions are achieved.

The invention discloses a method and device for automatically generating an AI training course, and relates to the field of physical education. A first video is acquired, skeleton points are acquired on human body parts in the first video, and a skeleton point movement track is formed in the first video; obtaining an invalid action interval in the first video; performing slicing processing on a time axis of the first video based on the invalid action interval to obtain a plurality of segmented sections; dividing the segmentation section into a valid section and an invalid section according to an invalid action interval; and judging the type of the effective section, matching the effective section with a preset AI identification module, and adding the matched AI identification module into the effective section to obtain a second video for generating the AI. According to the invention, the recorded or live-broadcast course video can be quickly and efficiently converted into the training course with the AI recognition effect.

The invention relates to the technical field of intellectual property data processing, and discloses an intellectual property data collection method and system based on multi-source data fusion, and the method comprises the steps: obtaining an original information set, and carrying out the clustering and grouping processing of the original information set, and obtaining a classification data set; performing feature verification and matching analysis on the classification data set to obtain a feature matching score; if the feature matching score is higher than a preset analysis threshold value, performing structured analysis on the classification data set to obtain a preliminary analysis field; performing standardized mapping processing on the preliminary analysis field to obtain data in a unified format; performing associated value mining on the data in the unified format to obtain high-value associated information; and fusing the high-value associated information to a preset overall data set to obtain a target intellectual property data set. According to the method, efficient integration and deep value mining of multi-source heterogeneous data can be realized, and the acquisition precision and standardization level of intellectual property data are remarkably improved.

The invention discloses a visible light communication transmission system and transmission method based on big data calculation, and relates to the technical field of communication transmission, and the system comprises a visible light information collection module, a communication information conversion module, a difference reduction scheme insertion module, an information receiving module, a difference analysis module, a difference reduction scheme optimization module and an analysis module. The method has the advantages that the difference between transmission and receiving of the visible light communication information can be reduced through the difference reduction scheme insertion module, data errors and loss are reduced, the overall communication quality of the current visible light communication information is improved, a suitable difference reduction scheme can be flexibly selected according to the current visible light communication information, and the communication quality is improved. When the transmitted and received current visible light communication information is inconsistent, different information can be extracted in time, the integrity of the information in the transmission process is ensured, the productivity values of different optimization schemes can be calculated, and a user can perform reasonable selection according to own requirements.

The application discloses a kind of spatial registration method and system of visible light image and infrared image, it is related to spatial registration technical field, the position coordinate in the position coordinate in the coordinate system of second bird's-eye view obtained by visible light camera is registered with the position coordinate in the position coordinate in the coordinate system of second bird's-eye view obtained by infrared camera, more accurate conversion relationship can be obtained, and the acquisition process of conversion relationship is simpler than prior art, does not need a large number of training images, low in cost, strong practicality.

The invention discloses a self-adaptive relay platen row and column coordinate detection method, and belongs to the field of computer vision and industrial automatic detection. The method comprises the following steps: firstly, acquiring an initial detection frame of a pressing plate block by using a deep learning model, and executing asymmetric center point compensation according to categories to determine a feature center point; then dynamically deriving a scale adaptive threshold based on a global minimum neighborhood distance, and constructing a global convex hull and an edge point cloud to establish a physical contour reference; then, a multi-criterion judgment condition recursive fitting algorithm is adopted to extract a row-column biaxial frame from the fragmented point set, and row and column attributes are automatically decoupled and judged through maximum included angle search and slope analysis; and finally, projecting the feature points to a biaxial intersection point, realizing accurate mapping from space coordinates to logic numbers, and outputting a row-column logic index. According to the method, the problem of difficulty in row and column identification caused by a complex shooting view angle, perspective deformation and pressing plate installation deviation is effectively solved, and the accuracy and robustness of state identification of the relay voltage plate for electric power inspection are remarkably improved.

The invention relates to the medical field and the voice text processing field, and discloses an error correction method for a voice recognition result, which comprises the following steps: matching a text to be corrected to obtain a first word group and a second word group; performing pinyin matching on the second phrase by using a pinyin fuzzy matching module to obtain a third phrase and a fourth phrase; generating a first candidate text based on the first and third phrases, calculating a vector of the first candidate text to generate a first word vector, generating a second candidate text based on the first and fourth phrases, and calculating a vector of the second candidate text to generate a second word vector; and correcting the first candidate text and the second candidate text based on a correction module, the first word vector and the second word vector to obtain a first correction result value and a second correction result value, and selecting the candidate text with the maximum correction result value as a target text. According to the method, optimization of global features between words and phrases of text information by an error correction model is improved in digital medical application, online medical popularization and use are realized, the efficiency is improved, and the cost is saved.

The application relates to the technical field of outdoor power construction engineering construction, in particular to an in-situ defense intelligent sound-light alarm system and method for power construction engineering, wherein a complete processing link of target intelligent identification, electronic fence space determination and hierarchical sound-light alarm is sunk to a local execution of an in-situ intelligent defense terminal in the system part, and the whole process from sensing to early warning can be independently completed without relying on cloud computing power and public network transmission, the system can be well adapted to the operation scene of the field of power construction engineering without public network coverage, meanwhile, the system is helpful for reducing data transmission bandwidth consumption and shortening alarm response time delay, the system retains the cloud centralized control and mobile terminal on-site configuration capability, on the basis of guaranteeing the independent operation of the terminal offline, the management efficiency of large-scale deployment and the convenience of on-site debugging are considered.