59 results about "Online method" patented technology

The invention discloses a square billet on-line fixed-length and fixed-weight adjusting method based on a visual technology, which comprises the following steps of: acquiring an end face image of a square billet through a high-resolution industrial camera, calculating the area of the end face, combining parameters such as steel rolling weighing data, pulling speed, steel grade components and the like, establishing an associated database, and dynamically adjusting the cutting fixed-length length of the square billet. The problem that in the prior art, the fixed-length and fixed-weight precision is insufficient due to changes of steel grade components, the pulling speed and the like is solved, high-precision fixed-length and fixed-weight control is achieved, and the device has the advantages of being non-contact, resistant to high temperature, high in accuracy, high in adaptability and the like. The machine vision technology is applied to end face area detection and calculation and introduced into fixed length and fixed weight of a continuous casting billet, the fixed length of the square billet is dynamically adjusted according to the change value of the end face area of the square billet, the target of the same standard fixed weight of each square billet needed by a steel rolling mill is achieved, and the target of 2kg / t control precision can be achieved.

The invention provides an enforcement notarization whole-process online method and system based on artificial intelligence, and belongs to the technical field of enforcement notarization. Comprising the steps of performing joint verification on user verification data based on a multi-modal biological feature fusion method; extracting key fields of the contract by adopting an NLP semantic analysis method, and performing clause compliance test on the key fields based on a legal knowledge graph and a dynamic rule engine; a contract risk identification algorithm is called to evaluate the repayment capability of the user; an electronic official certificate is generated after contract review is passed, electronic signature is completed based on the dynamic token and the biological characteristics, and real-time chaining and evidence storage are carried out; and monitoring a debt repayment state, and if the debt repayment state is default, automatically generating an execution material and directly submitting the execution material to an interface executor through a forced execution interface. According to the method, on the basis of preventing the data from being tampered, efficient whole-flow online endowment notarization can be realized.

This invention discloses an online method for detecting and identifying cracks in continuously cast slabs, comprising the following steps: real-time collection of instrument detection information of the slab in the ladle, tundish, crystallizer, primary cooling, secondary cooling and air cooling zones at m time points to construct a dataset of dimension m×n, where n is the number of instrument detection information collected at each time point; for each time point, performing: (1) based on the dataset, using an anomaly detection algorithm to obtain the anomaly value I of each time point. i (2) Obtain the anomaly probability P of the slab at that time point: P = p / m, where p is the outlier value I. i (3) Collect steel grade information in real time and obtain the abnormal threshold S of the steel grade based on the steel grade information; (4) Compare the abnormal probability P of the steel grade with the abnormal threshold S. If P≥S, output the judgment that the production abnormality probability of the steel grade will lead to slab crack defects; otherwise, output the judgment that the slab is normal.

The application relates to a multi-unmanned aerial vehicle (UAV) assisted edge computing task offloading method and system, and belongs to the technical field of mobile edge computing task offloading. The method comprises the following steps: constructing a multi-UAV assisted edge computing task offloading system model and an optimization problem model; based on the above model, a Markov decision process under a multi-agent environment is constructed, a reward function taking queue stability and information age minimization as targets is defined, a deep deterministic policy gradient algorithm is adopted, the optimization problem is solved through interaction between the multi-agent and the environment, and an optimal offloading strategy of a ground communication device computing task is obtained. The system comprises a ground communication device and a UAV, the UAV is in communication connection with the ground communication device, and an edge computing server arranged on the UAV is used for realizing the above method. The application not only guarantees the stability of a long-term data queue, but also obtains an optimal information age in an online mode, and solves problems such as communication congestion and poor user experience quality.

An online probabilistic inverse optimization system 10 is proposed for inferring objectives and constraints in an online fashion from changing problem data and corresponding agent decisions. The online probabilistic inverse optimization system 10 includes: a computing unit 11 which computes optimal solutions or decisions based on the forward optimization problem using the problem data that may include objectives, constraints and parameters; and a solving unit 12 which solves the inverse optimization problem using the agent decisions.

This invention discloses an online method and device for underwater target recognition using forward-looking sonar images. The method involves inputting a collected forward-looking sonar image dataset into a pre-trained YOLOv3 deep learning detection model for fine-tuning. The model file, weight file, and configuration file are then converted using an ATC tool to obtain an offline model, which is then deployed to an embedded system. The data stream acquired online by the forward-looking sonar device is converted to generate sonar images. The embedded system then uses the detection model to detect targets in the images, and the detection results are packaged and transmitted to the display and control software. This makes the results more intuitive and reduces the difficulty of target recognition in sonar images. It assists operators in judging targets on the display and control system, avoiding missed and false detections, reducing operator error rates, and solving the problem of limited scalability due to the difficulty of manual identification.

This application provides an online method for treating transformer oil leakage and a sealing and fastening structure, belonging to the field of online transformer maintenance technology. The method includes: without shutting down the power supply to replace the original O-ring seals, a rubber ring is added to the fixing bolts of the flange cover plate to seal the outside of the flange cover plate, thereby preventing insulating oil leakage at the fixing bolts; without disassembling the fixing bolts, the transformer can be maintained online without shutting down the power supply, eliminating the need for generator load reduction and shutdown, avoiding a sudden increase in power load when the power supply is restored, thus reducing the maximum demand value, ensuring the continuity of equipment operation and the stability of power supply, avoiding new load peaks, avoiding production interruption losses caused by power outages for maintenance, and increasing economic benefits; simultaneously, when treating transformer oil leakage online, the generator set can continue to generate electricity while operating normally, consuming all the gas, avoiding the release of gas generated during transformer power outage maintenance, reducing resource waste and environmental pollution.

This invention discloses an online method for determining and controlling the material state of an electromagnetic rotary kiln. A vision inspection system is used to detect the color and / or particle size of the discharged material from the electromagnetic rotary kiln. This system includes sampling, determination, control, and digital twin modules. The sampling module transports the material via a conveyor belt, and the vision inspection mechanism acquires and preprocesses the material image after supplementary lighting. The determination module extracts material characteristics and compares them with standard characteristics to determine the firing state. The digital twin module synchronizes the state through a virtual twin and, combined with a hybrid prediction model, predicts changes in material state and issues warnings. The control module adjusts the kiln's operating parameters based on the determination results and warnings, and feeds back the actual effects to the digital twin module to achieve model correction and strategy optimization. This invention achieves accurate detection, prediction, early warning, and closed-loop control of material state, improving product qualification rate, reducing material waste, and enhancing system intelligence and practicality.

The application discloses a long-term multi-agent task allocation method based on a multi-objective multi-level cultural gene algorithm, which is used in a task continuous random arrival scene such as intelligent warehousing. In view of the problems that the existing static method cannot adapt to long-term tasks, the online method is frequently cold started, the historical knowledge is poorly reused, the convergence is slow, and the task period and the agent load balancing are difficult to balance, a double-objective model of minimizing cumulative task period and minimizing load deviation is established; a multi-objective multi-level cultural gene algorithm is designed, multi-strategy initialization, hierarchical population and genetic operation are adopted, adaptive multi-neighborhood and confusion degree pop-up search local search are combined, and the population and historical archives are updated by cooperating with the non-dominated solution sorting, congestion degree calculation and elite reservation strategy. Through the organic combination of the above strategies, the algorithm can realize the collaborative optimization of task response and load balancing without interrupting the system operation.

This invention discloses an online method and system for estimating the braking clearance throughout the entire lifecycle of an EMB system, relating to the field of braking technology for EMB systems in autonomous vehicles. The invention includes: acquiring motor current and motor angle signals of the electromechanical braking system during the braking clamping phase; constructing a current-angle regression model based on a Legendre orthogonal basis based on the nonlinear relationship between the motor current and motor angle signals; performing online robust estimation of the parameter vector of the current-angle regression model using a weighted multi-forgetting factor recursive least squares algorithm combined with an adaptive M-estimator and a two-stage estimation strategy; and mapping the parameter estimates to braking clearance estimates. This invention achieves high-precision braking clearance estimation without additional sensors based solely on motor current and angle signals through online self-learning. It maintains excellent robustness and stability under complex operating conditions and long-term operation, making it suitable for engineering applications in EMB systems.

This invention relates to the field of grating processing technology, and more particularly to an online method and apparatus for grating marking tool alignment. The online alignment method includes: mounting a standard tool on a tool holder of a marking system; the tool holder is positioned above a fixed plate, and a laser, a beam splitter, a reflector, and a first panel with a first slit are arranged on the fixed plate; the beam splitter splits the laser beam into a first laser and a second laser; the first laser is incident perpendicularly on the reflector to generate a reference beam, and the second laser is incident perpendicularly on the surface of the standard tool to generate a standard detection beam; both the reference beam and the standard detection beam are guided by the beam splitter to the first panel; the first panel is adjusted so that both the reference beam and the standard detection beam completely pass through the first slit; the standard tool is replaced with a marking tool, and the positional relationship between the detection beam and the first slit is observed to complete the alignment. This invention at least helps to reduce the difficulty of alignment and achieve precise online alignment.

This invention relates to the field of printed circuit board (PCB) purification technology, and more particularly to an online method and system for treating organic carbon in PCB plating solutions. The method includes the following steps: continuously extracting copper plating solution from the PCB electroplating copper bath and conveying it at a constant flow rate along a preset closed channel; allowing the copper plating solution to sequentially flow through an adsorption treatment zone, a separation treatment zone, and an ultrafiltration treatment zone, maintaining continuous flow and leak-free delivery throughout the process; ensuring full contact between the copper plating solution delivered to the adsorption treatment zone and the adsorption packing material, thereby depositing and adhering the total organic carbon in the copper plating solution onto the surface of the adsorption packing material through pure physical adsorption. This invention replaces the traditional offline intermittent process with an integrated treatment mechanism of online closed circulation, multi-stage physical adsorption, and gradient precision interception. It can efficiently remove organic carbon and impurities from the copper plating solution without the need for reagents or heating, thereby improving the continuity and efficiency of PCB electroplating production and enhancing the reliability of electroplating quality.

This invention discloses an online detection method and system for punched images based on edge detection, relating to the field of machine vision. The method includes: acquiring and preprocessing an image after punching to obtain a punched image; calculating the adjacency variation value of each pixel to obtain an adjacency variation value distribution; performing punching edge rate analysis based on the adjacency variation value distribution to obtain a punching edge rate distribution and constructing a punching edge set; configuring punching edge fitting parameters based on the punching edge rate distribution; using standard punching edges to fit each punching edge in the punching edge set to obtain an edge fitting accuracy set; selecting the punching edge corresponding to the maximum edge fitting accuracy; calculating the punching detection accuracy based on the maximum edge fitting accuracy and the punching edge set; and using the selected punching edge as the detection result. This invention solves the technical problems of low detection efficiency, poor interpretability of the detection process, and lack of an edge detection result evaluation mechanism in existing technologies.

The application discloses an internet harmful event detection method, device and storage medium, constructs or updates a keyword knowledge graph, divides the knowledge graph into a plurality of subgraphs, clusters documents into harmful events by using a clustering algorithm, inserts each harmful event into a harmful story tree by updating each harmful event, or creates a new harmful story tree according to the harmful event, realizes harmful content detection and classification in mobile internet and internet, and the purpose is to find harmful events from massive webpage and document data, organizes harmful events in a reasonable harmful story tree in an online mode, proposes a two-layer webpage document clustering algorithm based on a knowledge graph, extracts harmful events from a large amount of webpage text or webpage related news, and organizes events into a story tree by using an online algorithm after new webpage and document data arrive, and is more effective than a traditional keyword-based harmful algorithm in the aspect of harmful event extraction.

An online probabilistic inverse optimization system 10 is proposed for inferring objectives and constraints in an online fashion from changing problem data and corresponding agent decisions. The online probabilistic inverse optimization system 10 includes: a computing unit 11 which computes optimal solutions or decisions based on the forward optimization problem using the problem data that may include objectives, constraints and parameters; and a solving unit 12 which solves the inverse optimization problem using the agent decisions.

The application discloses a medical scenario simulation case automatic generation and online method, system, equipment and medium, and relates to the technical field of medical education informatization. The method comprises the following steps: acquiring clinical structured data containing a clinical time axis anchor point and a physiological state vector matrix; expanding and generating standardized intermediate representation data through a large language model; rendering the data into a node flow graph and performing data integrity check locking; extracting keywords using a natural language processing algorithm to complete material binding based on semantic analysis; mapping the data into an abstract syntax tree representing a nonlinear state machine based on a deterministic mapping rule using an abstract syntax tree translator, converting time axis logic into branch jump logic and serializing it into a script; and compiling and packaging into a cross-platform Web application in a containerized environment and distributing it. The application realizes safe and lossless mapping of medical logic to computer bottom layer control flow and case zero threshold delivery.

The embodiment of the invention relates to the technical field of service release, and discloses a cloud service online method and device based on intelligent perception and automatic arrangement, equipment and a medium, and the method comprises the steps: obtaining a service dependence topological graph corresponding to a to-be-online service cluster; performing scheduling analysis processing on the service dependency topological graph based on an intelligent scheduling algorithm to generate a service online strategy; acquiring a historical published log, and performing similarity processing on the service online strategy and the historical published log by using an LSTM time sequence model to obtain an optimized online strategy for the service online strategy; and online the to-be-online service cluster based on the optimized online strategy. The service dependency topological graph is analyzed by using an intelligent scheduling algorithm, and an optimal online strategy conforming to the service dependency topological graph is automatically generated, so that a cascade fault caused by dependency disorder of manual setting is effectively avoided, the service online efficiency and success rate are remarkably improved, and the service online fault rate is reduced.

This invention relates to an online method for generating critical boundary test scenarios for autonomous driving acceleration testing, comprising: generalizing and generating natural driving test scenarios; constructing a scenario complexity model, including static scenario complexity and dynamic scenario complexity; evaluating and testing autonomous vehicles based on the generated natural driving test scenarios and the constructed scenario complexity model; and performing scenario adaptive adjustments based on the test results, including static scenario adaptive adjustments and dynamic scenario adaptive adjustments, to output critical boundary test scenarios. Compared with existing technologies, this invention can generate online critical boundary test scenarios that satisfy the distribution and diversity of natural traffic behavior and have multiple interactions, in order to test the performance boundaries of autonomous vehicles.

Embodiments of the present application provide a wafer cassette switching method. When a wafer cassette is switched to a target wafer cassette, a first controller sends, in response to a switching operation for the target wafer cassette, a switching start instruction carrying a target slot count to a second controller, so that the second controller determines the target slot count in response to the instruction and returns the target slot count to the first controller, and thus, the first controller can obtain a slot pitch of the target wafer cassette on the basis of this online mode. In this way, during wafer cassette switching, there is no need to stop running relevant programs in the first controller and the second controller, manually configure the target slot count in the second controller, or manually measure and verify the slot pitch and manually configure the slot pitch of the target wafer cassette in the first controller, thereby helping improve the switching efficiency of the wafer cassette. In addition, throughout the entire process, there is no need for operation and maintenance personnel to manually configure the second controller, helping reduce the professional skill requirements on operation and maintenance personnel for wafer cassette switching.

This invention discloses an online calculation method for the reliable adjustment potential of flexible loads, belonging to the technical field of flexible load adjustment methods. The online calculation method for the reliable adjustment potential of flexible loads in this invention adopts a data-driven approach, characterizing the operation process of flexible loads as a hidden Markov process, and representing uncertain disturbance events through probabilistic representations of the load state transition process. It achieves a highly reliable adjustment potential calculation by incorporating uncertain disturbance factors faced during the adjustment process, based on the existing maximum adjustment potential. This invention solves the problem of insufficient generalization in model-driven methods and the fusion of disturbance probabilities by establishing a data-driven reliable adjustment potential evaluation model, achieving a unified probabilistic representation of the flexible load operation process. This invention proposes an online evaluation method for the reliable adjustment potential of variable frequency air conditioners. Unlike evaluation methods based on macroscopic influencing factors, this invention combines microscopic probabilistic factors such as room temperature deviation and work-rest patterns to accurately evaluate the reliable adjustment potential of air conditioners under different operating conditions.

A method for predicting the aging decay of a gas diffusion layer based on a combination of offline and online methods is provided. [Solution] The gas diffusion layer and initial performance to be predicted are obtained, and offline and online cycle stand tests of durability aging decay are conducted respectively, and the test times are recorded. After completion, the deterioration performance of the gas diffusion layer to be predicted is collected, and offline performance tests are conducted one by one on samples after the offline aging test and on samples obtained by disassembling the test stack, and the average performance of the gas diffusion layer to be predicted at that time is obtained. A set of aging decay acceleration coefficients from the offline durability test and the online cycle stand durability test are calculated and obtained, and the coefficients are added to calculate the average to obtain a final combination of acceleration coefficients, and then added and averaged to obtain the final acceleration coefficient.

This invention discloses a method and apparatus for launching a self-developed substation-level microgrid control system. The method includes: after the supplier's microgrid control system is operating stably, launching the self-developed substation-level microgrid control system; switching the control flow between the two systems via a grayscale adaptation layer above the source-grid-load-storage execution layer; gradually increasing the flow between the source-grid-load-storage hardware and the self-developed substation-level microgrid control system based on the grayscale adaptation layer until all execution commands of the supplier's microgrid control system are abandoned, and then taking the supplier's microgrid control system offline. This invention can achieve stable online operation of the self-developed substation-level microgrid control system, ensuring the reliable and safe operation of the microgrid system.

The embodiment discloses a device online method, device, system, medium and program product, the device online method comprises the following steps: receiving a first message sent by a to-be-online device, the first message comprising a message used for indicating the type of the to-be-online device; when it is determined that the to-be-online device is a device of a preset type according to the first message, sending a second message to a management and control system to realize automatic online of the to-be-online device, wherein the second message at least comprises the identifier of the to-be-online device.

The application provides an online method and system of a terminal and a computer readable medium. The method comprises the following steps: obtaining the current latest terminal information matching table through a factory base station; polling the terminal which has not entered the factory and is online in the latest terminal information matching table according to a polling period; sending a call package to the polled terminal; updating the state of the polled terminal in the terminal information matching table to the state of having entered the factory and being online if the response package replied by the polled terminal is received within a preset time length; and broadcasting the updated terminal information matching table to the base station accessing the factory network through the factory network, so that the positioning base station updates the factory terminal dynamic list according to the updated terminal information matching table, and communicates with the terminal which has entered the factory and is online in the factory terminal dynamic list according to the polling period, thereby reducing the call time consumption of the terminal which has not entered the factory and is online, and shortening the polling period of the positioning base station.

The invention provides an ONU registration and online method, system and device, and is applied to the technical field of optical communication. In the ONU registration and online method, the ONU can determine the ID of the ONU itself through a port label carried by a branch port of an optical splitter based on a broadcast message sent by an OLT. Therefore, when the ONU is registered and online, the OLT does not need to allocate a temporary ID for the ONU. On the basis, the OLT can directly initiate the registration online process to the ONU indicating the ID, and the problem of conflicts caused by the fact that a plurality of ONUs respond to the message of the OLT at the same time can be avoided.

The embodiment of the invention provides a client re-online method and device, network equipment and a storage medium, the method is applied to control layer equipment, and the method comprises the following steps: after the control layer equipment returns to normal, determining a client of which managed forwarding layer equipment is kept online as a to-be-processed client; if the number of the received continuation messages sent by the to-be-processed client in the unit time is greater than a first threshold value, determining the continuation duration corresponding to the continuation messages for the continuation messages with the sequence greater than the first threshold value received in the unit time, and sending a first message to the to-be-processed client sending the continuation messages, the first message carries the determined continuation duration; and when an online application message resent after the client to be processed is offline is received, performing online authentication on the client to be processed. According to the embodiment of the invention, the problem that after the control layer equipment returns to normal, the client side applies for online in a centralized manner can be solved.

This application provides a device online method, device, medium, and program product, relating to the field of device online technology. The method includes: obtaining registration information generated by a centralized management platform and forwarded by a mobile terminal; initiating an online registration request to the centralized management platform based on the registration information; establishing a connection channel with the centralized management platform if the online registration request is verified by the centralized management platform; obtaining configuration information issued by the centralized management platform through the connection channel; and configuring the device online based on the configuration information. This application utilizes a mobile terminal to transmit registration information to the device to be online, thereby establishing a connection channel between the device and the centralized management platform and achieving device registration. After successful device registration, configuration information is directly transmitted through the connection channel, effectively improving the convenience and flexibility of device online operation.

The invention relates to the technical field of data processing, in particular to a GIS shell flange surface flatness online detection method based on structured light three-dimensional point clouds, and the method comprises the steps: carrying out the all-round scanning of a GIS shell flange surface through a scanner, obtaining an initial three-dimensional point cloud set containing a plurality of sampling points, and carrying out the detection of the flatness of the GIS shell flange surface through the initial three-dimensional point cloud set; the method comprises the following steps: acquiring a self-adaptive search radius of each sampling point, constructing a neighborhood sampling point set based on the self-adaptive search radius, performing eigenvalue decomposition on the neighborhood sampling point set to obtain a local topology dispersion index, calculating a fitting weight coefficient of each sampling point according to the local topology dispersion index, and calculating the fitting weight coefficient of each sampling point according to the fitting weight coefficient. Constructing a weighted objective function to solve an optimal reference plane equation; effective sampling points are screened out according to the local topology dispersion index, the flatness detection value of the flange face is obtained based on the distance from the effective sampling points to the optimal reference plane, flange face sealing risk assessment is completed, and the accuracy of flange face flatness detection is remarkably improved.

The invention discloses an online method and system for SPN equipment and electronic equipment, and the method comprises the steps: receiving the power-on information of at least one SPN equipment reported by upstream equipment, and enabling the upstream equipment to be connected with the SPN equipment and to be online; according to the power-on information, SPN equipment to be on line is determined from the SPN equipment; allocating management plane parameters to the SPN equipment to be online, and sending the management plane parameters to the SPN equipment to be online through the upstream equipment; target SPN equipment to be online is created, and the target SPN equipment to be online is the SPN equipment to be online which is adjacent to the upstream equipment and is configured with the management plane parameters.

The invention belongs to the technical field of fiber manufacturing, and relates to a production method for processing abnormal yarns on line, which comprises the following steps: in the process of producing fibers by taking polyester as a raw material, when abnormal yarns appear, judging whether broken ends appear or not, if so, immediately controlling a winding machine to stop running, and otherwise, controlling the winding machine to stop running after full winding; after the winding machine stops running, the pressure of the assembly is increased to 21-23 MPa and kept for 3-5 min, then the pressure of the assembly is recovered, and the winding machine is restarted after the pressure of the assembly is recovered; the pressure of the assembly is increased by increasing the pump supply amount and reducing the temperature of the box body. Impurities on the inner wall of the spinneret orifice can be effectively removed on line, the abnormal filament problems of filaments, broken filaments, uneven linear density and the like caused by the impurities in the orifice are solved, and the quality of fiber products is guaranteed.