39results about How to "Easy to parse" patented technology

The invention discloses a text classification method, device and system based on a large language model, a storage medium and a product, and relates to the technical field of text classification, the method comprises the following steps: receiving a to-be-classified text and a classification label input or selected by a user through a user interaction interface of the text classification system; and according to the to-be-classified text and the classification label, constructing prompt words, and calling a pre-trained large language model to perform different-level classification on the to-be-classified text to generate a classification result. According to the technical scheme, the low-cost and low-use-threshold text classification method is provided based on the large language model, classification of different levels can be achieved, in addition, due to the fact that the text classification result is in a light-weight and convenient-to-analyze JSON format, the system can visually display the classification result to a user and can also provide an interface for a third-party application to call, and the user experience is improved. And the application scene of text classification is expanded.

The invention discloses a novel noise HV spectrum ratio imaging method based on polarization. The method comprises the following steps: collecting background noise data in a predetermined monitoring area; preprocessing the acquired background noise data, wherein the preprocessing comprises data format conversion, data splicing, mean value removal, trend removal, waveform pinching and band-pass filtering processing; preprocessed data are processed by adopting a polarization analysis technology, a wave field is separated by setting a threshold value and analyzing a power spectrum, and a background noise area is divided into a linear body wave component and a nonlinear surface wave component. According to the polarization-based noise HV spectrum ratio imaging method, the precision and efficiency of underground structure analysis are remarkably improved through the precise separation of the wave field and the automatic processing flow of the HV spectrum ratio, and by means of polarization analysis optimized data processing, the automatically generated frequency and depth profile and the automatically picked excellent frequency and peak value, the imaging precision and efficiency of the underground structure are greatly improved. And the analysis of the underground velocity structure and the wave impedance interface is more accurate.

The invention discloses a fine-grained Chinese geological entity spatial relationship joint extraction method and system. The method comprises the following steps: establishing a fine-grained Chinese geological entity and spatial relationship classification system; collecting geological corpus data, and performing data annotation based on the classification system to obtain a geological entity spatial relationship corpus; and dividing a training set and a test set based on the obtained geological entity spatial relationship corpus, and training and testing the constructed ERNIE-BIGRU model by using the training set and the test set to obtain the optimal model performance. According to the fine-grained Chinese geological entity spatial relationship joint extraction method based on the ERNIE-BIGRU model provided by the invention, accurate extraction of the geological field entity and the spatial relationship can be realized, and important value is provided for earth scientific tasks.

The invention relates to the technical field of batteries, in particular to a battery management system and electric equipment, and the battery management system comprises a micro-control chip, a battery sampling chip, at least one gas sensor, at least one signal processing module and at least one external action device; the battery sampling chip is connected with the battery pack, the battery sampling chip is connected with the gas sensor, a signal processing module is arranged between the battery sampling chip and the gas sensor, and the battery sampling chip is used for obtaining voltage signals of all batteries in the battery pack and signals collected by the gas sensor; the micro-control chip is connected with the battery sampling chip and an external action device, and the micro-control chip is used for controlling the state of the external action device according to the voltage signal and a signal collected by the gas sensor. The system complexity is reduced, the data synchronism is high, the battery state is analyzed, and the battery risk is warned in advance.

The invention discloses a call recording detection and analysis method based on AI, and relates to the technical field of call recording detection, and the method comprises the following steps: a client is configured in advance to carry out the collection of call audio, and a recording file is obtained; carrying out audio encryption on the sound recording file and uploading the sound recording file to a server; the server side detects and analyzes the sound recording file, performs call transcription on the sound recording file, obtains the theme category of the current call transcription text, and obtains the emotion category according to the current call transcription text; and generating a comment text according to the acquired theme category and emotion category and a preset comment template. The call recording is analyzed from multiple dimensions of theme categories and voice emotions, call content and related information can be grasped more comprehensively and accurately, careless omissions and subjective judgment errors possibly occurring in manual quality inspection are avoided, valuable service insight is provided for enterprises, the enterprises are helped to adjust strategies and optimize service processes in time, and the service quality of the enterprises is improved. The market application prospect is wide.

The invention discloses a nitric acid wastewater treatment system containing aluminum nitrate, including a two-stage column separation system and an aluminum sulfate purification system, wherein the aluminum sulfate purification system includes an aluminum sulfate feed tank, a preheater, a two-effect three-stage falling film evaporator for multiple evaporation and concentration of aluminum sulfate solution, a cooling crystallization tank, a crystallization transfer tank, a filter press, a high-level tank for receiving solids after filter pressing, and a scraper; the aluminum sulfate feed tank is connected to the aluminum sulfate solution tank. The nitric acid wastewater treatment method containing aluminum nitrate based on the wastewater treatment system has a small evaporation amount and a low production risk; the replacement is thorough, and the nitric acid content in the aluminum sulfate solution is obtained to be less, and aluminum sulfate that is better than the national standard can be further produced; the process of the invention is more energy-saving, the obtained aluminum sulfate product is of higher quality, and the overall temperature is not too high, which is conducive to long-term stable operation.

The invention discloses a high-speed communication method based on an embedded instrument. The high-speed communication method comprises the following steps that S1, the instrument receives protocol data; s2, analyzing the protocol data, and extracting effective instructions in the protocol data; s3, setting an instruction buffer pool, and storing the effective instruction into the instruction buffer pool; s4, sending a protocol data receiving response to the test system; and S5, the instrument analyzes and responds to the effective instruction in the instruction buffer pool when the resource is idle, and then waits for receiving the instruction next time. According to the method, the cache thread is additionally arranged, so that temporary storage of the ASCII instruction after the instrument equipment completes VXI-11 unpacking is realized, and resource scheduling is facilitated to complete analysis and response of the ASCII instruction when the instrument is idle. Through the method, the instrument responds to the message when the resource is idle, and message blocking or instruction response failure caused by a high-priority task is avoided. The problems of instruction failure and error response during rapid receiving of instrument equipment during high-speed VXI-11 communication are effectively solved.

The utility model discloses a kind of chef machine control circuit with weighing function, it includes electronic scale control circuit, main control circuit and display control circuit, electronic scale control circuit includes electronic scale control chip U1;Main control circuit includes switching power supply module, motor control module and MCU, switching power supply module is connected with MCU, electronic scale control chip U1, motor control module and display control circuit respectively, MCU is connected with electronic scale control chip U1, motor control module and display control circuit respectively.Electronic scale control chip U1 is connected with external weighing sensor, it is used to read the weighing data of weighing sensor, and after reading, the weighing data is sent to MCU, it is convenient for MCU to parse data, after MCU completes to parse data, generates control signal, and control signal is sent to display control circuit.Display control circuit receives control signal, and according to control signal display weight data, to realize the weighing function of chef machine.

The application discloses an intelligent mattress sleep-aiding regulation method based on a deep search large model, aiming at solving the problems of single sleep-aiding regulation scheme, lack of personalization and interpretability. The method comprises the following steps: collecting original physiological data of different sources, constructing user portrait features through preprocessing and encoding; configuring prompt words containing system prompt words and user prompt words, wherein the system prompt words set the model role, sleep medical knowledge, parameter structure definition and scheme quantity requirement, and the user prompt words are obtained based on user portrait optimization; configuring injection prefixes and adjustment parameters to constrain the output content of the large model; generating multiple sets of regulation schemes with multi-modal collaborative control parameters through large model reasoning; and performing output verification on the generated content, including parameter range constraint verification and multi-scheme difference verification. The application utilizes the reasoning ability of the large language model to realize personalized and interpretable intelligent mattress sleep-aiding regulation, and improves the sleep quality of users.

The utility model discloses a six-waveband phased array receiving circuit, which comprises an antenna switch access interface, an antenna selection switch connected with the antenna switch access interface, a first one-to-six selection switch connected with the antenna switch access interface through a capacitor C1, and a second one-to-six selection switch connected with the antenna switch access interface through a capacitor C2. The first three-section LC filter, the second three-section LC filter and the second one-to-six selective switch are connected with the first one-to-six selective switch, the low-noise amplifier is connected with the second one-to-six selective switch through a capacitor C2, the power supply filter circuit is connected with the low-noise amplifier, and the antenna switch output interface is connected with the low-noise amplifier through a capacitor C3. And the power supply circuit supplies power to the whole circuit. According to the utility model, the signals are effectively separated through the six filters, and the six paths of signals are effectively combined into one path to be output through the selection switch, so that the output signals are relatively clean and are not interfered by out-of-band clutter signals, and the output signals are easier to analyze.

The present invention provides a method, system and storage medium for virtual debugging of factory production lines, and relates to the field of intelligent manufacturing technology. The system includes a production line-level twin model and a unit-level twin model that are communicatively connected to each other. The unit-level twin model includes multiple digital twins that are communicatively connected to each other, and each digital twin is constructed based on the corresponding equipment of the factory production line. The production line-level twin model and the unit-level twin model respectively adopt dynamic adaptive fault coding technology based on fault coding format and result coding format. This dynamic adaptive coding technology provides strong support for rapid communication and collaborative work between digital twin models, and realizes virtual fault simulation of factory production lines in the field of intelligent manufacturing. At the same time, this dynamic adaptive coding technology also fully considers people's reading habits and comprehension ability. The encoded information is easy for machine parsing and conforms to people's reading habits, thereby improving the processing efficiency and automation level of fault simulation.

The invention discloses a data platform heterogeneous CSV file analysis method and a terminal, and the method comprises the steps: recognizing a CSV file uploaded by a user through a language recognition model, obtaining a source country, reading the CSV file through a codec corresponding to the source country, obtaining a report type of the CSV file, obtaining a corresponding analysis template according to the report type, and carrying out the analysis of the CSV file according to the analysis template. According to the method, the CSV file is analyzed according to the analysis template, the CSV file is preprocessed based on the analysis template to obtain the CSV file conforming to the specification, the CSV file conforming to the specification is analyzed according to the analysis template, one analysis template does not need to be configured for each language of each report type, more analysis templates do not need to be maintained, and the analysis efficiency is higher, so that the analysis efficiency is improved, and the maintenance cost is reduced; and before analysis, the CSV file is preprocessed based on the analysis template to obtain the CSV file conforming to the specification, so that the analysis is more facilitated, the analysis efficiency is improved, and the data in the CSV file can be better applied after the analysis.

The application discloses a GNSS reference station data fusion transmission method and device based on a one-way optical shutter and a medium. In view of the problem that a limited number of one-way optical shutter ports is difficult to bear real-time transmission of large-scale GNSS reference station original observation data flow, the application receives multi-station data flow through multi-NTRIP concurrent access on the source side, encapsulates and generates a standard internal transmission frame containing a unique station code according to a station coding mapping table, generates a fusion data block through time window aggregation, and dynamically maps the fusion data block to a fusion channel and a corresponding port of the optical shutter for one-way transmission according to station priority, traffic statistics and optical shutter port load. The fusion data block is block-level parsed on the target side, distributed to a corresponding recovery queue according to a unique station code, and reorganized to restore independent original observation data flow of each station. The application realizes high-density multiplexing transmission and accurate recovery of large-scale reference station data under limited optical shutter ports, reduces hardware cost, and improves transmission reliability and port utilization.

The invention relates to the technical field of audio processing, in particular to a rich text audio summarization method based on LLM multi-feature fusion slicing, which comprises the following steps: acquiring a conference audio file through a recording and reception module in a recording and collecting device, analyzing the audio file through an audio analysis module, and performing theme cutting on the audio file; the natural language processing and analyzing module judges whether two adjacent statement topics are the same topic or not to obtain statements segmented according to the topics, summarization content of each topic is obtained through the LLM module, finally, the map-reduce process is executed, summarization of each topic is summarized, and an overall summarization is obtained. The method can be effectively applied to various automatic summary summaries with rich text information, is not limited to the time duration of conference audios, and has a good audio text processing effect.

The invention discloses a communication method and system for configuring an interphone system function by using a PC (Personal Computer). The method comprises the following steps: establishing a Socket connection between PC management software and an Android terminal; the PC management software sends a system module request instruction to the terminal; the terminal management application receives and executes a PC module request instruction; the terminal sends a module response instruction to the PC software; and the PC software receives the response instruction and displays an execution result. The maximum data length in the communication protocol is 4G, so that the data carried by the request response instruction is large enough, and large-batch data transmission can be met. A protocol instruction is described in a json format and can be expanded at will, and meanwhile analysis is simple. The protocol is divided into request response packets, and bidirectional data interaction between the PC and the terminal can be realized by using socket communication. And the protocol data can be subjected to URL coding transmission, so that the problem of messy codes caused by Chinese transmission can be solved.

This invention provides a multi-channel continuous fast packet reception, sorting, and lock-free asynchronous read / write method, relating to the fields of computer communication and storage technology. The method includes: employing a dynamic expansion mechanism to continuously receive and store multi-channel data packets; classifying and sorting the stored data packets; and asynchronously reading and writing the parsed data packets in a lock-free manner. This invention generates an independent message stack for each channel, enabling continuous reception and storage of messages from multiple channels without pre-allocating excessive memory space. The speed of receiving buffer expansion is dynamically adjusted based on data flow rate. Fast classification and sorting of data packets is achieved using a hash table or sorted binary tree. A circular stack is created to sequentially store the parsed data content of each packet, updating the stack top position after data content is stored. When reading data, the starting position for reading is found using the stack top position and the number of packets read, and then the data is copied, thereby achieving lock-free asynchronous parallel data read / write.

This invention discloses a method, device, and medium for GNSS reference station data fusion transmission based on a unidirectional optical shutter. Addressing the problem that the limited number of unidirectional optical shutter ports makes it difficult to support the real-time transmission of large-scale GNSS reference station raw observation data streams, this invention receives data streams from multiple stations concurrently via multiple NTRIPs on the source side. It encapsulates and generates standard internal transmission frames containing unique station codes according to a station coding mapping table, aggregates these frames through a time window to generate fused data blocks, and dynamically maps them to the fusion channel and corresponding optical shutter ports based on station priority, traffic statistics, and optical shutter port load before unidirectional transmission. On the target side, the fused data blocks are parsed at the block level, distributed to the corresponding recovery queues based on unique station codes, and reassembled to restore the independent raw observation data streams of each station. This invention achieves high-density multiplexing transmission and accurate recovery of large-scale reference station data with limited optical shutter ports, reduces hardware costs, and improves transmission reliability and port utilization.

After the implementation complexity, the maintenance cost, the kernel load, the network throughput, the recognition rate and the like are comprehensively considered, the kernel-based network flow application recognition method is provided, and the kernel-based network flow application recognition method is suitable for network equipment (products) developed based on a kernel. The method comprises two parts: initialization and message application identification, wherein the message application identification part is completed by mutual configuration of a message acquisition module and an application identification engine. Wherein the message acquisition module runs in the form of a kernel module, and provides message content, metadata and stream information for the application identification engine through nfquery. The application identification engine runs in a user mode program mode, obtains message content (and metadata and stream information related to the message) needing to be identified through nfquery, carries out application identification on the message, and updates an identification result to a kernel nfconnecrack through netlink, and the kernel nfconnecrack comprises a kernel nfconnecrack, a kernel nfconnecrack, a kernel nfconnecrack, a kernel nfconnecrack, a kernel nfconnecrack, a kernel nfconnecrack, a kernel nfconnecrack, a kernel nfconnecrack and a kernel nfconnecrack.

The present invention provides a non-contact IC carrier surface treatment system and method, belonging to the field of printed circuit boards, and the present invention comprises: a surface treatment body and a surface treatment industrial control computer; a horizontal moving device is installed on the upper surface of the surface treatment body; the first end of the surface treatment body is a feed end, and a conveying carrier adapted to the horizontal moving device is provided at the feed end; the IC carrier to be processed is placed on the conveying carrier and horizontally moved on the horizontal moving device; the second end of the surface treatment body is a discharge end, and a surface treatment device, a surface dust sticking device, a preheating device and a surface film sticking device are sequentially installed from the first end to the second end of the surface treatment body; the present invention utilizes various chemical liquids to remove oil, roughen the copper surface, pickle, wash, dry and other treatments on the surface of the IC carrier during processing. Magnetic conveying provides a zero-friction conveying force to avoid dust and foreign matter generated by friction. It meets the production efficiency requirements and improves the processing efficiency.

Embodiments of the present application provide a method, device, equipment and medium for rendering a trajectory of an unmanned vehicle. The method comprises: first, obtaining a continuous sequence of latitude and longitude coordinates collected by the unmanned vehicle, and converting the sequence of latitude and longitude coordinates into a standardized geographic data format; then, calculating a bounding box of the trajectory based on the geographic data format, and constructing a projection function for mapping latitude and longitude coordinates to a two-dimensional coordinate in a plane according to the size parameters of a target vector canvas and the bounding box; then, iterating through each latitude and longitude coordinate in the geographic data format, and sequentially calling the projection function to calculate the screen coordinates of the latitude and longitude coordinates on the target vector canvas; finally, generating vector graphics path data according to each screen coordinate, and embedding the vector graphics path data into a display interface to display the trajectory. Through the above method, the visualization display of the high-precision trajectory of the unmanned vehicle is realized on the web end with light weight, high performance and low distortion.

This application provides a method, apparatus, electronic device, and storage medium for equipment defect classification, relating to the field of equipment defect analysis technology. The method includes: acquiring a defect description query text and extracting a defect description query feature vector; calculating a feature similarity score based on the defect description query feature vector and candidate defect feature vectors; determining a target defect feature vector based on the feature similarity score; determining a first initial defect level based on the target defect feature vector and the defect description query text using a target defect level generation model; determining a second initial defect level based on the defect description query text using an equipment defect knowledge graph; determining a third initial defect level based on the defect description query text using a defect classification rule table; and fusing the first, second, and third initial defect levels to obtain a target defect level. This application can improve the accuracy and reliability of equipment defect classification.

The application discloses a DWG two-dimensional drawing display method and system, and the method comprises the following steps: receiving a DWG file, and traversing the DWG file layer by layer to obtain all two-dimensional vector objects; analyzing each two-dimensional vector object, and dividing the two-dimensional vector object into a non-text vector object and a text vector object; splitting the non-text vector object, and constructing a first set; drawing the non-text vector object based on the first set; splitting the text vector object, and constructing a second set; and drawing the text vector object based on the second set. The application realizes efficient geometric multiplexing of minimum two-dimensional elements, and greatly optimizes the analysis and rendering mode of the graphic element data in the two-dimensional drawing.

The invention provides a source code leakage monitoring and tracing system based on a dynamic identification hash string, and belongs to the technical field of network security, and the system comprises the steps: a source code monitoring module generates a first embedded hash string according to the personal information of an employee when the employee initializes a project source code based on a code generation platform, and the first embedded hash string is embedded in the project source code to generate a preprocessing source code; when the source code submitting module monitors that the employee uploads the preprocessed source code to the source code public community, embedding the second pre-embedded hash string into the preprocessed source code through a network submitting script program, generating an uploading project source code, and uploading the uploading project source code to the source code public community; and the leakage monitoring module inquires and uploads the project source code in the source code public community in real time through the application program interface, obtains corresponding original information when the specific code identifier is inquired, and submits the original information to the background supervisor. According to the system, the source code leakage responsibility can be traced according to the original information obtained through analysis in the hash string while real-time monitoring of the uploaded project source code is realized.

The invention relates to a configuration file compiling method and device, equipment, a storage medium and a program product. The method comprises the following steps: reading an initial configuration file into a memory database according to a preset hierarchical structure; analyzing a key value pair in the initial configuration file to obtain an intermediate configuration file; and generating a target configuration file according to a configuration plug-in and the intermediate configuration file. By adopting the method, the configuration file of the large-scale software system can be conveniently managed.

This application relates to the field of seismic measurement technology, and provides an apparatus and method for measuring cross-fault motion in experimental earthquakes. The apparatus includes a metal rod, an elastic compression spring installed at the first end of the metal rod, and a rod axial force gauge installed on the metal rod. The method involves installing the apparatus on a fault model and calculating fault motion. Based on the tensile stiffness K1 of the apparatus for measuring cross-fault motion in experimental earthquakes and the data recorded by the rod axial force gauge, the axial displacement of the metal rod, the shear displacement in the fault shear direction, and the real-time velocity and acceleration of the fault motion at time t are calculated. The apparatus for measuring cross-fault motion in experimental earthquakes of this application has a simple structure, is easy to manufacture, and can capture vibration information during fault instability without the need for complex field equipment deployment. It is not easily affected by the environment, and the test results are accurate. The method can accurately describe the instability process of experimental earthquakes.

The invention discloses a micro-grid large signal stability analysis method for controlling a heterogeneous inverter, and relates to the technical field of stability analysis. Comprising the following steps: constructing a plurality of GFM inverter equivalent oscillator models and a plurality of GFL inverter equivalent oscillator models of the series-parallel island microgrid; all the equivalent vibrator models are simultaneously established, and an island series-parallel micro-grid network vibrator model is obtained; respectively determining a first stability domain between each GFM inverter and a paired GFM inverter connected with the GFM inverter, and a second stability domain between each GFM inverter and a paired GFL inverter connected with the GFM inverter; and traversing and crossing the first stability domain and the second stability domain of each GFM inverter to obtain the overall frequency stability domain of the system, and determining the large signal stability according to the overall frequency stability domain of the system. According to the method, the dimensionality and complexity of the stability criterion are reduced, and the criterion of the large signal stability of the micro-grid is easier to analyze and calculate.

The utility model relates to a vacuum gauge based on an electromagnetic induction principle, belongs to the technical field of vacuum measuring equipment, and solves at least one of the problems of large accumulated processing error among parts of a capacitor vacuum gauge, complex bridge circuit trimming, temperature drift of an electronic device, analog circuit distortion and the like in the prior art. The utility model provides a vacuum gauge based on an electromagnetic induction principle, which comprises a vertical support structure arranged above a strain diaphragm, and two sides of the vertical support structure are provided with parallel sheet magnets with opposite magnetic poles; insulating layers are arranged on the front faces and / or the back faces of the vertical supporting structures, and parallel metal wires are arranged on the insulating layers. According to the vacuum gauge, the strain diaphragm structure is reserved, the deformation of the strain diaphragm is measured by using a simple electromagnetic induction principle, and a complicated analog circuit is not needed; moreover, the method is high in measurement precision, is less affected by the environment, is easy to analyze and process an output signal, and can be suitable for application scenes with harsh environmental conditions.

The application discloses an offline log analysis system and method. The system of the application comprises a log collection agent, a custom log processing service, an Elasticsearch cluster and a Kibana visualization platform; the log collection agent collects offline log files, the custom log processing service performs analysis and filtering processing on the offline log files; receives and stores a log analysis script uploaded by a user, and in response to an execution instruction of a stored log analysis script by the user, calls the script to analyze the processed log data. The Elasticsearch cluster stores the processed log data; the Kibana visualization platform queries and visually displays the stored log data. The application connects logs of various environments to the offline log platform of the company through a custom service platform as a channel, so that fast and efficient log analysis, statistics and query are realized.

The invention provides a message processing method and device, equipment and a medium. The method comprises the following steps: when a message is recorded, acquiring a message meeting a preset data format requirement, the preset data format requirement being determined according to a communication type of the message during transmission; serializing the message to obtain byte stream character string information; writing the byte stream character string information into a message data field of a first target data structure, wherein the first target data structure is a data structure corresponding to the byte stream character string information; and obtaining and storing the recording data packet according to the first target data structure in which the byte stream character string information is written. According to the method provided by the invention, the processing effect on the recorded message is improved.

The present invention discloses a method for modeling the two-dimensional stiffness of a large aspect ratio sidewall and analyzing the deformation characteristics of a tire. Based on a flexible ring model based on a nonlinear elastic basis, a flexible ring complete tire model based on an elastic basis that considers the tire rotation effect is first established, and a simplified form based on different assumptions is given; secondly, based on the beam deformation theory under the action of inflation preload, a two-dimensional sidewall stiffness analytical model of a heavy-duty tire is established, and the modal characteristics of heavy-duty tires with different inflation pressures are predicted; finally, a grounding spring is introduced in the grounding area, and the grounding characteristics of the flexible ring tire model are analyzed using force balance conditions, and radial and tangential grounding imprint forces corresponding to different tire flattening amounts are given, and a tire stiffness experiment is performed. The present invention can update the sidewall stiffness value in real time, and can be used for sidewall structure design and tire vibration rapid design.