120 results about "Online method" patented technology

As part of a dialog session between a user and an automated assistant, implementations can receive a stream of audio data that captures a spoken utterance including an assistant query, determine, based on processing the stream of audio data, a set of assistant outputs that are each predicted to be responsive to the assistant query, process, using large language model (LLM) output(s), the assistant outputs and context of the dialog session to generate a set of modified assistant outputs, and cause given modified assistant output, from among the set of modified assistant outputs, to be provided for presentation to the user in response to the spoken utterance. In some implementations, the LLM output(s) can be generated in an offline manner for subsequent use in an online manner. In additional or alternative implementations, the LLM output(s) can be generated in an online manner when the spoken utterance is received.

The invention provides a device online method, an electronic device and a computer readable storage medium, the method comprising: receiving a first message, the first message comprising identification information of a second device, first verification data and a first version number, the first verification data being obtained based on an effective communication key currently stored by the second device, and the first version number being obtained based on the effective communication key; the first version number is a version number of equipment information required for online corresponding to the current second equipment; based on the first verification data, determining that a communication key which is currently stored in the first device and corresponds to the second device is valid, and based on the first version number, determining that device information which is currently stored in the first device and corresponds to the second device and is required for online is valid; and putting the second equipment on line. According to the embodiment of the invention, when the first equipment determines that the currently stored communication key corresponding to the second equipment and the equipment information required for online are valid based on the first verification data and the first version number, the first equipment can directly online the second equipment, and the equipment online efficiency can be improved.

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 present invention relates to the technical field of information system integration, and in particular to an ERP system launch method. The method comprises the following steps: obtaining ERP demand data; performing ERP related function module analysis according to the ERP demand data to generate ERP related function modules; performing ERP system architecture analysis based on the ERP related function modules to establish the ERP system architecture; obtaining historical enterprise source data; performing historical enterprise decision feature analysis based on the historical enterprise source data to generate historical enterprise decision feature data; performing intelligent business practice engine design based on the historical enterprise decision feature data to generate an intelligent business practice engine; performing intelligent business practice function configuration processing of the system architecture on the ERP system architecture based on the intelligent business practice engine to generate an ERP system, and transmitting the ERP system to a cloud server to execute the ERP system launch operation. The present invention realizes intelligent business management of the ERP system.

The invention discloses an abnormal current transformer error online evaluation method and system, and relates to the technical field of power transmission and distribution equipment state evaluation and online monitoring, and the method comprises the steps: calculating a current transformer standard error; drawing a standard error coefficient curve; calculating the actual error of the current transformer; when the actual error current is not equal to the standard error current under the same condition, calculating an error current correlation coefficient variable quantity under the current condition, and when the error current correlation coefficient variable quantity exceeds a threshold value set by the standard error coefficient curve, judging that the current transformer fluctuates; and when the current transformer is judged to have fluctuation, calculating the sum of the three-phase current of the current transformer, and when the sum of the three-phase current exceeds the threshold value of the sum of the three-phase current under the same condition, judging that the transformer is an abnormal transformer. According to the method, the problems that an existing operation current transformer error evaluation method is prone to being affected by the environment and poor in engineering adaptability are solved, and abnormity monitoring and warning of the current transformer are achieved.

The embodiment of the invention provides a material online method, system, device and equipment and a storage medium, and relates to the technical field of transportation equipment. According to the specific implementation scheme, the method comprises the steps of determining material information of materials required by a target line edge station and indicated by a current order; wherein the material information comprises a plurality of material identifiers, a material demand quantity corresponding to each material identifier, and an assembly sequence among materials represented by the plurality of material identifiers; and when a feeding signal indicating that the target line edge station needs to be fed is received, if the target line edge station completes production based on the material represented by the previous material identifier in the assembly sequence, a robot is controlled to move away the currently used material box on the target line edge station, and the target line edge station completes production based on the material represented by the previous material identifier in the assembly sequence. And the robot is controlled to convey the current material box to be utilized to the target line edge station. Therefore, through the scheme, the production efficiency can be improved.

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.

The invention discloses an automobile OTA software Reset method based on an online mode, comprising an OTA management platform, a TSP platform, a TSP client, an OTA Master, an OTA Sub Master and an HMI, the OTA management platform interacts with the TSP platform through an API mode to actively send an instruction from a cloud end to an automobile end, the TSP platform is mainly used for pushing information from the cloud end to a specified automobile in an OTA scene, the TSP client is a TSP component in the automobile, and the OTA Master, the OTA Sub Master and the HMI are connected with the OTA management platform. The OTA Master is used for receiving a push instruction of a TSP platform, the OTA Master interacts with a vehicle owner through interaction with the HMI module, and the OTA Sub Master is used for receiving scheduling of the OTA Master and is responsible for executing specific functions such as flashing a certain part. The problems that when components of an OTA automobile end have problems, especially the problems of endless loop and software infinite restart, the generated influence is possibly disastrous and can only be solved in an offline recall mode, the cost is increased, and meanwhile the trustworthiness of consumers to brands is reduced are solved.

The embodiment of the invention provides a read-write request sending method and device, a storage medium and electronic device.The read-write request sending method comprises the steps that under the condition that a distributed cluster is upgraded in an online mode, a first node corresponding to a received read-write request in the distributed cluster is determined, the first node is a node requested by the read-write request to execute a read operation or a write operation; and under the condition that the first nodes comprise a second node in an upgrade state, sending the read-write request to a third node which is not in the upgrade state in the first nodes, so that the second node is in the upgrade state after exiting from the upgrade state. And obtaining a first data object requested to be written into the first node by a write request in the read-write request from the third node. The problem that the upgrading effect is poor due to the fact that nodes in the cluster need to be removed or cluster services need to be paused when the distributed storage cluster is upgraded in the related technology is solved.

The invention provides an equipment zero-configuration online method, device and system, a server and a medium, and relates to the technical field of communication. The method is applied to a configuration server, and comprises the following steps: in response to a target message sent by a convergence device in an area where an access device is located, analyzing identification information of the convergence device carried in the target message, and searching management network configuration information corresponding to the identification information of the convergence device from a preset association relationship table; wherein different convergence devices are located in different areas; and sending the management network configuration information to the access device, so that the access device is online according to the management network configuration information. According to the mode, the adaptability and efficiency of zero-configuration online of the equipment are improved in a multi-service scene.

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.

The embodiment of the invention relates to the technical field of computer application, and discloses a multi-platform-based activity online method, device and equipment and a storage medium, the method comprises the following steps: in response to a trigger operation of a user on a predetermined interaction component in an H5 page, determining an activity template parameter corresponding to the interaction component, the H5 page being a page running on a target platform, the target platform is one of a plurality of predetermined platforms; determining activity configuration information corresponding to the activity template parameters, and sending the activity configuration information to the H5 page, so that the H5 page displays a corresponding activity page based on the activity configuration information; performing activity authentication on the user in response to a trigger operation of the user on the activity component in the activity page; and after the authentication is passed, determining that the user participates in an activity corresponding to the activity page successfully, and feeding back information that the user participates in the activity to the H5 page. By means of the mode, flexible and efficient integration of multi-platform online activities is achieved, and the activity online efficiency is improved.

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.

The present invention provides a combined offline and online drone-assisted mobile edge computing communication method. Based on a probabilistic line-of-sight channel model, the method takes into account the start time of user computing tasks, constructs an optimization problem with the goal of minimizing the sum of all user computing delays, and obtains the optimal user scheduling, user resource allocation and drone flight trajectory for each section through offline iterative optimization; constructs a linear programming problem for each section of the optimal drone flight trajectory through an online process, and cyclically optimizes the constructed linear programming problem, adaptively adjusts the drone's flight speed and user computing task resource allocation in the remaining sections, and provides computing services for users of the corresponding sections according to the adjustment results; the method optimizes drone-assisted mobile edge computing communication by combining offline and online methods, which can significantly reduce the sum of the delays of all user computing tasks and improve communication efficiency.

The invention provides an online method, device and equipment and a mobile robot, and relates to the technical field of mobile robotics.The method comprises the steps that mobile exploration is carried out based on an exploration route, and code band recognition is carried out in the mobile exploration process; if the code belt is identified, continuing to move along the code belt; and if the positioning code is identified in the process of moving along the code band, determining the current position in the map according to the positioning code. According to the scheme, mobile exploration is carried out by utilizing the exploration route, when the mobile robot moves to the code belt, the code belt can be recognized, and then the mobile robot can enter the line patrol mode and automatically move along the code belt until the positioning code is recognized, so that online is realized. According to the mode, the online process of the mobile robot is simplified, the mobile robot does not need to be manually and remotely controlled to move to the two-dimensional code any more, operation is simpler and more convenient, and the online efficiency of the mobile robot is improved.

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.

The present application provides an intelligent online feeder terminal fault identification method, which first collects power parameters, switch states and environmental data of each feeder terminal, converts these data into feature vectors through a feature extraction algorithm, and then uses a pre-trained abnormal probability recognition model to generate an abnormal probability value and calculate its confidence interval. If the lower limit of the confidence interval exceeds a preset threshold, the terminal is judged to be abnormal. For the abnormal terminal, the method determines its adjacent terminals according to the power grid topology structure, and then uses a pre-trained fault classification model to classify the feature vectors of the abnormal terminal and the adjacent terminal respectively to obtain their respective fault classification data. Finally, the method comprehensively considers the fault classification data of the abnormal terminal and the adjacent terminal, generates a comprehensive fault classification result of the abnormal terminal, and realizes intelligent online identification of feeder terminal faults, which helps to improve the accuracy and efficiency of power grid fault diagnosis.

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 invention discloses a business system online method and system based on operation and maintenance automation. The method comprises the following steps: opening a secure communication port strategy, determining that network channels between a control host of an automatic operation and maintenance tool and a plurality of candidate servers in a comprehensive service management system are kept in a connection state, and installing the automatic operation and maintenance tool on the control host in an offline installation mode; configuring a host list according to a service requirement corresponding to the comprehensive service management system; performing online task arrangement based on the host list and the variable configuration file to obtain an operation and maintenance script file of the automatic operation and maintenance tool; and in response to an online trigger event of the integrated service management system, triggering the control host to execute a plurality of online tasks according to a plurality of operation and maintenance strategies corresponding to the operation and maintenance script file. According to the invention, the technical problems of low reliability and low efficiency of the business system online method in the prior art are solved.

The embodiment of the invention provides a device online method, a device, a medium and a program product, and relates to the technical field of device online. The method comprises the following steps: acquiring registration information generated by a centralized management platform and forwarded by a mobile terminal, and initiating an online registration request to the centralized management platform based on the registration information; establishing a connection channel with the centralized management platform under the condition that the online registration request is verified by the centralized management platform; and obtaining configuration information issued by the centralized management platform through the connection channel, and carrying out equipment online configuration based on the configuration information. According to the embodiment of the invention, the registration information is transmitted to the to-be-online equipment by using the mobile terminal, so that the connection channel between the to-be-online equipment and the centralized management platform is established, the equipment registration is realized, and then the configuration information is directly transmitted through the connection channel after the equipment registration succeeds, so that the convenience and flexibility of equipment online are effectively improved.

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.