1702 results about "Process information" patented technology

Systems, methods, and computer program products for using artificial intelligence (AI) models, machine learning, and large language models to identify root causes of issues in a computing environment where multiple applications and computing devices operate. One or more AI models may determine adverse trends from one or more issue metrics, where an issue metric corresponds to issues occurring in a computing system. The AI models may identify issues corresponding to the adverse trends. From the identified issues, the AI models may determine root causes from the issues and the impacted area information and process information from the issues. From the issues and the impacted area information and process information from the issues the AI models may determine recommendations for rectifying the issues. The relations between the root causes, the impacted area information, the process information, and the issues may be formatted and displayed as a traversable network graph.

The invention relates to the technical field of nondestructive testing, and particularly discloses an automatic detection system and method based on a titanium plate welding part, and the method comprises the steps: obtaining an original physical field signal of a to-be-detected part under the excitation of a single energy field, and extracting a space energy attenuation gradient and time phase lag distribution through wavelet packet decomposition and Hilbert transform; constructing a dynamic propagation model for describing a signal propagation path evolution rule, and performing space-time registration and vector difference calculation with a preset ideal reference model to generate a difference evolution graph; high-dimensional topological feature mapping, density clustering and multi-scale persistence analysis are carried out on the atlas, and a stable abnormal mode caused by defects is identified and confirmed; and backtracking a dynamic evolution path of an abnormal mode, extracting defect core parameters, and completing three-dimensional positioning, type classification and security level evaluation in combination with process information.

The invention discloses an information resource efficient collaborative optimization method for a distributed computer system, which belongs to the technical field of information resource optimization control and comprises the following steps: executing a transaction according to a target lock element information set, monitoring popularity information of each resource segment, generating self-adaptive lock granularity decision information of each resource segment, and executing dynamic adjustment of lock granularity. And obtaining load sensing optimization parameters to complete lock competition optimization, and completing real-time iterative updating of lock element information and strategies. According to the method, the problems of resource competition and deadlock in the distributed system can be effectively solved, and the system performance and the resource utilization efficiency are improved. Transaction pre-allocation resources are reasonably allocated, the deadlock risk is reduced, lock granularity is dynamically adjusted according to resource segmentation popularity, lock competition optimization is completed based on load awareness optimization parameters, an adjustment result and the optimization parameters are synchronized to a distributed lock management library for real-time iteration updating, and it is ensured that a system always operates with an optimal strategy; and the distributed computer system efficiently and stably processes information resources in a cooperative manner.

The invention discloses a good product visual identification method and system, a medium and a program product, and relates to the field of image data processing, and the method comprises the steps: determining the detection type of a to-be-traced product; the method comprises the following steps: when a process detection request is requested, acquiring abnormal process information for triggering detection, calculating a process correlation degree between each completed process and the abnormal process, and generating a to-be-detected sequence; in a final inspection request, extracting defect feature data of a to-be-traced product, determining an associated process set from the process flow database, and sequencing to generate a to-be-detected sequence; sequentially acquiring to-be-detected process images of each process ranked in the front from the to-be-detected sequence, and inputting the to-be-detected process images into a parallel detection channel for detection; when the result of the parallel detection channel is passing, updating the to-be-detected sequence, and obtaining a first process image for detection; and when the result of the parallel detection channel is abnormal, determining an abnormal process and stopping the detection. By implementing the method, the problem positioning efficiency based on visual identification can be improved.

The invention provides an intelligent production scheduling system and method for a coal industry scene, and the method comprises the steps: fusing multi-source production information (including equipment state information, coal quality index information and safety detection information) through a server, constructing a fault prediction model, and carrying out the fault prediction of the real-time production information; and generating a task list based on the fault prediction result, the real-time production information and the historical production information, matching a workflow and an optimal executor for each task in the task list, then sending the task to the PC terminal for execution, monitoring the execution progress of each task in real time, and urging the overdue task. And generating a corresponding report for each executed task based on the fused information, the fault prediction result, the real-time production information, the historical production information and the execution process information of each task, and sending the report to a display device for display. By adopting the method, the efficiency and the accuracy of production scheduling in a coal industry scene can be improved, the real-time performance of production scheduling can be ensured, and the statistics and the checking of the whole process link can be facilitated.

The invention relates to the technical field of artificial intelligence and material engineering, and discloses a formula optimization method and device, equipment and a storage medium, and the method comprises the steps: carrying out the knowledge extraction of an obtained structured formula data set and unstructured technical literature data in response to a formula optimization target input by a user, and generating a table literature knowledge set; inputting the table literature knowledge set and the formula optimization target into a large language model to obtain a generated text corresponding to the formula optimization target; performing logic rule screening and risk assessment on the generated text through a knowledge fusion layer to obtain text output conforming to a confidence threshold, and generating a new formula scheme according to the text output; and performing multi-objective optimization on the new formula scheme based on a preset experimental cost constraint condition, and outputting an optimized recommended formula and a support evidence chain. By automatically fusing innovative components and process information in literatures, the output recommended formula has scientific basis and interpretability, and the practicability and innovativeness of an automatic formula are improved.

The invention discloses a digestive endoscope disinfection process full-cycle monitoring and compliance verification platform and method, and the platform comprises a data collection and preprocessing module which is used for collecting and preprocessing real-time state data and environment data, and generating a standardized data set; the path optimization and decision module is used for simulating a plurality of operation paths of a disinfection process by utilizing a Monte Carlo tree search algorithm and selecting an optimal disinfection path; the compliance reasoning and verification module is used for reasoning symbol rules in the disinfection process; the block chain evidence storage module is used for writing the data blocks into a block chain account book to form a disinfection data chain; the intelligent contract processing module is used for performing real-time judgment, automatically triggering an alarm and recording non-compliance operation; and the feedback and query module is used for querying, retrieving and auditing the whole-process information, alarm records and compliance events of the disinfection process. According to the invention, intelligent optimization of the disinfection process, real-time compliance verification and on-chain evidence storage are realized, and the safety supervision efficiency is comprehensively improved.

The present application provides a large language model-based query statement generation method, apparatus, and device, and a medium. The large language model comprises a plurality of encoders. The method comprises: acquiring a query text; performing vectorization processing on the query text to obtain a target vector representation corresponding to the query text; inputting the target vector representation into the plurality of encoders, to perform encoding processing on the target vector representation by means of weight matrices of the encoders, so as to obtain context vectors corresponding to the encoders, wherein different encoders have different weight matrices; and generating a target query statement on the basis of the context vectors corresponding to the encoders. A model is allowed to focus on different information features in different attention heads, independently capture different aspects of a query text, and process information at multiple abstraction levels, thereby better capturing complex and abstract semantic relationships, effectively distinguishing the importance of information when processing complex and fuzzy questions, improving the accuracy of query statement generation.

The invention relates to the technical field of artificial intelligence, can be applied to business scenes such as financial science and technology and medical health, and discloses a data generation method and device based on a non-uniform sampling path, equipment and a medium. Quantizing contribution degree values of all time points based on process information, generating contribution degree distribution of the time points, screening a plurality of key time points, constructing a non-uniform sampling path, and gradually generating target data from initial data by using the path and a flow matching generation model. Through a time point contribution degree analysis mechanism, on the basis of the actual contribution of each time point to the data generation result, the key time points are screened out, and the non-uniform sampling path is constructed, so that the generation quality is ensured, the redundant sampling steps are effectively reduced, the reasoning efficiency of the flow matching generation model is improved, and the calculation resource consumption is reduced; and the method has better practical application value.

The invention relates to the technical field of data processing, can be applied to business system platforms of medical health, financial science and technology and the like, and discloses a payment business processing method based on a process engine, which comprises the following steps: standardizing an input / output interface, packaging business logic into business nodes, and storing the business nodes in a node library. And selecting nodes, configuration information and a connection relationship according to service requirements, and generating a process model. And starting the process engine, and converting the process model to obtain a process instance. And extracting node information and a connection relationship, scheduling node execution, obtaining real-time data, and generating a dynamic adjustment decision. And according to the decision and the real-time data, adjusting a process instance execution path and node parameters, scheduling node execution, completing payment service processing, and storing process instance information in a historical record library. By standardizing the interface, packaging the service nodes, generating the process model and dynamically adjusting the execution path and parameters, the payment service processing is efficiently completed, the flexibility and efficiency are improved, and the process information is convenient to store and trace.

The invention belongs to the technical field of aircraft pipeline assembly, and particularly relates to an on-line detection method and system for the off-board assembly process of a pipeline, and the method comprises the following steps: constructing a tightening control model, and initializing model parameters; adjusting the conduit and the joint to an initial state and applying tightening torque; reading tightening process information in real time and drawing a tightening curve broken line graph; the initial assembly normalization is judged in real time; fitting a linear segment slope kj in real time; the standardability of the assembly process is judged in real time; the tightening torque maximum value Tmax and the tightening angle maximum value Amax are detected in real time; calculating an assembly result in real time; and assembling reliability is detected in real time. According to the invention, an assembling tool with torque acquisition and angle acquisition is utilized to acquire tightening torque and rotation angle in the assembling process, and data information in the tightening process is read in real time. And data information of the tightening process is input into the tightening control model, and meanwhile, external assembly control parameters and boundary parameters of the guide pipe machine are set, so that real-time online detection of the whole assembly process of the guide pipe is realized.

The invention provides a related method of linear motor equipment, the method is applied to industrial conveying, and the method comprises the following steps: creating a plurality of position points, the plurality of position points are distributed along a stator line body, the plurality of position points are used for controlling the moving path of a mover module, and the mover module is used for controlling the moving path of the mover module based on the conveying process information of the mover module. And corresponding dynamic pointing information is configured for each position point, and the dynamic pointing information is used for dynamically indicating a pointing object of the position point according to a conveying condition existing in the transportation scene. According to the method, the dynamic pointing information can be configured for each position point through the conveying process information of the mover module, the function of dynamically adjusting the pointing of the position points is achieved, the position points are used for controlling the moving path of the mover module, and the dynamic adjustment of the pointing of the position points can enable the moving path of the mover module to have variability; the moving flexibility of the mover module is improved, so that the transportation efficiency is improved, and the device is more suitable for complex and changeable working scenes.

A method of processing information related to a distributed item includes generating attachment information and acquiring a reference request and requester information. The attachment information is associated with history information accumulated for the distributed item and is to be distributed along with the distributed item. The reference request is made for a reference to the history information using the attachment information attached to the distributed item. The requester information contains at least location data of a requester terminal that made the reference request.

The invention relates to a notebook software vulnerability scanning method based on a security policy. According to the method, firstly, a security policy library of a target notebook is obtained, and the security policy library comprises access control rules, data operation limiting conditions and vulnerability detection reference requirements for different software types; collecting software running data of the target notebook computer, wherein the software running data comprises current running process information, file system operation records, network connection states and software configuration parameters; performing matching analysis on the software operation data and the security policy library to generate a preliminary scanning result; evaluating the risk level of the software vulnerability according to the preliminary scanning result; and finally, based on the risk level and the repair guide terms in the security policy library, generating software vulnerability repair guide information. Therefore, notebook software vulnerabilities can be scanned comprehensively and accurately, and effective repair guidance is provided.

An apparatus, including a computer including a database which stores a controllable healthcare record and information contained in a master records file, and a distributed ledger and Blockchain technology system. The apparatus facilitates a video call between a user device and a provider device. The computer, after processing information for updating the controllable healthcare record, processes information for identifying a plurality of electronic records for the individual and a second healthcare provider associated with each electronic record. The computer updates each of the plurality of electronic records, and generates a record update message. The computer transmits the record update message to each of a plurality of second provider devices associated with each second healthcare provider. Information regarding the update to the controllable healthcare record and the update to each of the second records is stored in the distributed ledger and Blockchain technology system.

The embodiment of the invention provides a retrieval task processing method, system, device and equipment, a medium and a program product, and the retrieval task processing method comprises the following steps: obtaining task data of a target retrieval task, and extracting retrieval key features of the task data; task flow information of the target retrieval task is generated on the basis of the retrieval key features, and the task flow information comprises multiple retrieval processing stages of the target retrieval task and the stage execution sequence of the multiple retrieval processing stages; based on the stage execution sequence, calling a task processing component of each retrieval processing stage to execute the target retrieval task, and determining a stage processing result of each retrieval processing stage; and generating a task processing result of the target retrieval task based on the stage processing result of each retrieval processing stage. Through retrieval key feature driven task flow generation and componentized execution, flexible arrangement and accurate adaptation of a retrieval task processing flow are realized, and the problem of poor adaptability caused by retrieval task flow solidification is solved.

The invention discloses an electric power cross-operation dynamic risk prediction and early warning method, system, equipment and medium based on multi-modal data fusion, and relates to the technical field of intelligent electric power systems, and the method comprises the steps: collecting multi-source data of a cross-operation site in real time, including personnel spatial position data, equipment state data, environmental parameters and operation flow information; performing multi-modal fusion processing on the multi-source data, and constructing space-time risk association features; constructing a dynamic risk factor matrix, performing fusion calculation on the static risk reference value and the dynamic correction value, and dynamically updating the weight of each factor along with time; predicting a risk change trend based on the combination of a time sequence prediction model and a graph structure modeling method; and generating a three-dimensional visual risk thermodynamic diagram based on a prediction result, and triggering a multi-level early warning mechanism when a risk value exceeds a threshold value. The image is reconstructed through multi-modal fusion processing, and key edge features can be recovered in complex environments such as low illumination, high dynamic range and fast motion.

A computer using the systems and methods described herein can use a task agent to automatically select and manage different applications and agents to use to generate results in response to requests for information. The computer can iteratively execute the task agent to generate the results. For instance, the task agent can identify a set of applications to use to generate a result in response to an information request. The task agent can identify the set of applications based on an intent of the information request. The task agent can iteratively execute different sequences of applications from the set of applications to query and retrieve data from different data sources until determining the data that is necessary to generate a response to the request has been retrieved. The computer can generate the response from the retrieved data and present the response on a user interface.

The invention relates to the technical field of computers, and discloses an agricultural and sideline food whole-process information tracing method and system, and the method comprises the steps: deploying sensing and collection equipment in all links of production, logistics, storage and sales, and generating a standardized event record with a time-space stamp and a digital signature; executing data cleaning, event modeling and map construction through a centralized platform to form a multi-dimensional tracing network with commodities as nodes and operation events as edges; and in response to user query, dynamically generating a visual tracing path according to time, geography, responsibility subject or environmental parameter dimensions. The system comprises a production end acquisition subsystem, a logistics end acquisition subsystem, a storage end acquisition subsystem, a sales end acquisition subsystem and a central data fusion platform, and a permission control and credibility scoring mechanism is arranged in the platform. According to the method, through event-driven atlas and multi-source data fusion, full-chain information reversible restoration, multi-condition filtering query and compliance automatic judgment are realized, and the authenticity, integrity and decision support capability of tracing are remarkably improved.

The invention discloses a composite material VARI process resin permeation process analysis and control system and method. The device comprises a mold, a reinforcing material prefabricated body, a T-shaped glue injection pipe, a T-shaped glue outlet pipe, a valve, a resin storage device, a plurality of vacuum sources, a one-way breathable film, a permeation display layer, a transparent vacuum bag, a plurality of temperature sensors, image acquisition equipment, curing equipment, image analysis software, process control software and a product and mold three-dimensional model. Image acquisition equipment is adopted to realize image acquisition in the resin permeation process, image analysis software can identify a resin flowing front and map the resin flowing front into the combined three-dimensional model in real time according to the image information difference of a permeation area and a non-permeation area on the permeation display layer, and the permeation rate is quantitatively analyzed according to the resin flowing front. And the process control software realizes process control operation according to the process information fed back by other software and hardware. According to the technical scheme of the invention, online monitoring, analysis and automatic process control of VARI process resin permeation can be realized.

The utility model relates to the technical field of underwater cleaning, and discloses an underwater cleaning system convenient to use. The system comprises an operation device, a control device, a display device and a cleaning device, the operation device is in communication connection with the cleaning device to control the cleaning device to work, the control device is in communication connection with the operation device to process information, and the control device is in communication connection with the display device to display the working environment; the cleaning device comprises a take-up and pay-off assembly, a cable assembly and a robot, the take-up and pay-off assembly is detachably connected with the robot, the cable assembly is connected with a water source and a power source, and one end of the cable assembly is connected with the robot; two first cameras are symmetrically arranged at the front end of the robot, and two second cameras are symmetrically arranged at the rear end of the robot; a cleaning piece is arranged at the front end of the robot in a swinging mode, a diverter and a circuit connector are arranged at the top, and the cable assembly is connected with the diverter and the circuit connector. The flow divider communicates with the cleaning piece through a flow dividing pipe. And through pipeline arrangement, pipeline winding occurring when the robot works is reduced, and the working safety and working efficiency of the robot are improved.

The invention discloses a construction engineering cost analysis system and method, and particularly relates to the technical field of construction cost behavior monitoring, and the method comprises the following steps: collecting the business information and field process information of an execution stage project, carrying out the field-level matching with a budget detail table, and constructing a data set; performing risk judgment according to the contract plan information and the actual execution information, and judging whether to start a risk identification process; executing multi-dimensional information cross-analysis to identify cost risk symptoms when the conditions are met; calculating dynamically updated first and second risk assessment factors based on the identification result, and inputting the first and second risk assessment factors into a risk assessment model to generate a comprehensive cost risk score; according to the method, accurate matching of the budget information and the execution data is realized, and the real-time sensing capability of the cost data is improved; through a dynamic risk identification and cross analysis mechanism, the early discovery and judgment capability of the cost abnormity is enhanced; and a two-factor evaluation and scoring model is constructed, so that quantitative expression and intelligent early warning of the cost risk are realized.

The invention provides an intelligent conference management system, method and device based on a large model and a medium, and belongs to the technical field of computers. The system comprises a pre-meeting module used for automatically generating and sending a meeting invitation through an integrated enterprise schedule system, using telephone notification and IVR interaction to confirm a meeting participation form, and counting a meeting participation condition and a meeting arrival state; the in-conference module is used for collecting multi-source audios based on a microphone array in the conference process, transferring conference content in real time and generating subtitles in combination with a voice recognition technology, synchronously recording videos, recording process information of the conference, and performing structured analysis; and the post-conference module is used for extracting key indication information and backlogs in the process information of the conference, generating a standardized conference summary, automatically distributing tasks, tracking the progress and supporting semantic retrieval of historical conference records. According to the invention, a large model technology is utilized, and technologies of cloud computing, big data, artificial intelligence and the like are combined, so that automatic management of the whole conference process is realized.

The embodiment of the invention discloses a task updating method and device based on a task processing system, equipment and a medium. A specific embodiment of the method comprises the following steps: extracting a task index configuration set; generating an index association configuration and an index association graph; displaying the index association graph and the task index configuration set so as to process task index related information; inputting the corresponding information into a first large language model to obtain a task execution rule configuration set and a rule configuration basis set; displaying the task execution rule configuration set and the rule configuration basis set on a task processing page; in response to the fact that the packaged file is checked to be correct, filling the packaged file and the information of each task execution terminal into the initial task updating message to obtain a task updating message queue; and distributing the task update message queue to each task execution terminal. According to the embodiment, the task execution information is updated in time in the mode that the task indexes are configurable and in the form of the large language model and the message queue.

The invention discloses an information processing method, device and system. The method comprises the steps that in response to an adjustment instruction triggered on a target application program, configuration information in a key tool kit associated with the target application program is called, the configuration information is adjusted based on the adjustment instruction, and the key tool kit at least comprises an encryption strategy and a decryption strategy; in response to the received request information, encrypting the request information by using an encryption strategy corresponding to the adjusted configuration information to obtain an encryption result, and sending the encryption result to a server corresponding to the client, the encryption strategy representing a rule for encrypting the request information; and in response to response information corresponding to the encryption result returned by the server, decrypting the response information by using a decryption strategy corresponding to the adjusted configuration information to obtain a decryption result, the decryption strategy representing a rule for decrypting the response information. According to the invention, the technical problem of poor flexibility of information processing is solved.

A method and system for predicting complex electric field images with a parameterized model are described. A latent space representation of a complex electric field image is determined based on dimensional data in a latent space of the parameterized model for a given input to the parameterized model. The given input may be a measured amplitude (e.g., intensity) associated with the complex electric field image. The complex electric field image is predicted based on the latent space representation of the complex electric field image. The predicted complex electric field image includes an amplitude and a phase. The parameterized model comprises encoder-decoder architecture. In some embodiments, determining the latent space representation of the electric field image comprises minimizing a function constrained by a set of electric field images that could be predicted by the parameterized model based on the dimensional data in the latent space and the given input.

The invention discloses an artificial intelligence multi-modal technology-based psychological evaluation system and evaluation method for a house tree person, and aims to solve the technical problems of high subjectivity, low efficiency and single information dimension of traditional HTP evaluation. The system comprises a data acquisition module which is used for synchronously acquiring room tree person drawing image data of a user and a dynamic behavior data flow in a drawing process; the image analysis module is used for analyzing the image data by adopting a first artificial intelligence model to extract static visual features; the behavior analysis module is used for analyzing the behavior data flow by adopting a second artificial intelligence model to extract dynamic behavior characteristics; the multi-modal fusion analysis module is used for carrying out fusion processing on the static and dynamic characteristics to generate multi-modal characteristics; and the psychological assessment report generation module is used for generating an assessment report based on the multi-modal features. According to the method, the objectivity, the accuracy, the efficiency and the assessment depth of psychological assessment are remarkably improved by fusing and analyzing the static content and the dynamic process information of the drawing.

The present application provides a data processing method, apparatus, electronic device, and storage medium. The method includes: obtaining order information of an order to be processed, device information of a device for processing the order, process information, and raw material information; inputting the order information, device information, process information, and raw material information into a pre-constructed decision optimization model to obtain a scheduling plan; wherein the scheduling plan is used to adjust various production decisions during the execution of the order to be processed. The data processing method of the present application analyzes the order information of the order to be processed, the device information of the device for processing the order, the process information, and the raw material information through the decision optimization model to obtain a scheduling plan, so that subsequent production decisions during the execution of the order to be processed can be adjusted according to the scheduling plan, thereby optimizing the production process, improving the product processing efficiency, and improving the execution efficiency of the order.

The invention discloses a model distillation method and a reply information generation method and device, and relates to the technical field of computers, in particular to the artificial intelligence fields of natural language processing, deep learning, large models and the like. According to the specific implementation scheme, sample question information and sample reply information of the sample question information are obtained; wherein the sample reply information comprises sample reasoning process information and sample answer information; according to the sample problem information, adopting an initial small language model to obtain a prediction reasoning process corresponding to the sample problem information; wherein the model scale of the initial small language model is smaller than that of the large language model; according to the sample question information, adopting an initial small language model to obtain prediction answer information of the sample question information; and training the initial small language model according to the sample reasoning process information, the sample answer information, the predicted reasoning process information and the predicted answer information to obtain a trained small language model.

The invention provides an instant conference evidence obtaining method and device based on memory reverse analysis. The method comprises the following steps: acquiring a target memory image; analyzing the target memory image by using a preset conference metadata reverse extraction algorithm to obtain conference metadata; the conference metadata reverse extraction algorithm comprises the following steps: identifying process information of an instant conference in a memory image, extracting and dumping files related to the process information in a memory, and analyzing the dumped memory files to extract conference metadata; scanning and matching the memory image by using a preset conference data stream engraving algorithm to obtain conference data stream information; the conference data flow library adjusting algorithm comprises the steps of reconstructing a data structure of a text message and / or a file message transmitted in an instant conference, identifying and positioning a key data structure needing evidence obtaining in the memory mapping according to the reconstructed data structure, and extracting conference data flow information from the positioned key data structure.