1499 results about "Process information" patented technology

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 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 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.

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 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.

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 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.

The invention belongs to the technical field of agents and remote sensing, and particularly relates to a remote sensing intelligent interpretation system based on a large language model. Comprising a user input interface, a central controller, a solution retriever, a professional data retriever, a tool library and an output module, the user input interface receives user input information; the solution retriever retrieves a solution and inputs the retrieved solution to the central controller; the professional data retriever retrieves professional knowledge related to the information input by the user and inputs a retrieval result into the central controller; the tool library stores various remote sensing image processing tools; the central controller understands and analyzes user input, selects a proper tool from a tool library through assistance of a solution retriever to process information input by the user, retrieves professional knowledge through a professional data retriever to answer professional questions, and generates a processing result; the output module outputs a final answer or remote sensing image according to the processing result; the user intention can be more accurately understood, and the complex remote sensing task can be efficiently processed.

The invention discloses an assembly process knowledge graph construction and updating method based on graph attention network mapping, and the method mainly comprises the following steps: standardization system design construction, data collection, data classification, multi-modal data preprocessing, multi-source information extraction and graph node feature initialization. Semantic modeling and vector space mapping driven by a graph attention network, knowledge storage, construction of an assembly process knowledge graph by using stored knowledge data, and semantic complementation and dynamic updating of a process information model. Through the unique self-attention mechanism of the GAT, the weight can be dynamically distributed for the relationship among different information nodes, so that knowledge reasoning and expression are more accurately carried out, and the problems of knowledge fragmentation, management rigidity, semantic understanding deficiency, low knowledge utilization efficiency and the like in the prior art are systematically solved.

A method for processing information is executed by one or more computers. The method includes obtaining a user classification item related to a question, the user classification item being any of user classification items based on user classification, the user classification corresponding to content classification; converting the question into a question vector; searching document vectors assigned with a content classification item that corresponds to the user classification item related to the question vector for a specified number of the document vectors having a high degree of relevance to the question vector; generating a prompt for input to a large language model, the prompt including content of the specified number of the document vectors prior to conversion, serving as context, and the question; inputting the prompt to the large language model; and outputting the answer generated based on text output by the large language model.

The invention discloses a graph-driven self-attention compressible memory management method, and belongs to the technical field of penetration testing. According to the graph-driven self-attention compressible memory management method, an attention graph is constructed, semantic dependence and attention flow directions among multiple Agent nodes are accurately described by utilizing edge weights, the relevance and the accessibility of information are improved, and in the aspects of screening and loading, the expandability of the memory is improved. According to the method, key memory fragments are screened on the basis of concerned graph edge weights and task related features, only the loaded information is loaded, redundancy is effectively eliminated, the data volume processed by a system is reduced, and the system operation efficiency is improved; the semantic compression module can perform abstract processing on historical information based on various elements, and on the premise of ensuring that key semantic information is not lost, the abstract length is controlled within the window limit, so that the model can normally process information, and the adaptability and stability of the system to different data volumes are improved.

The invention relates to the technical field of medical message management, in particular to an HPV detection information management method and system based on privacy protection, and the method comprises the steps: obtaining HPV detection information of a target subject, carrying out the feature extraction of the HPV detection information, and obtaining personal basic information and detection sample information; performing encryption processing on the detection sample information to obtain HPV detection encryption data, and performing privacy feature recognition on the HPV detection encryption data to obtain a privacy feature set; performing privacy risk assessment on the privacy feature set to obtain a privacy risk index; acquiring a whole-process information security parameter of the HPV detection information of the target subject; based on the whole-process information security parameters, performing privacy leakage influence quantitative evaluation on the privacy risk index to obtain a privacy leakage risk evaluation index; calling a corresponding privacy leakage risk threshold value based on the personal basic information, and performing leakage risk early warning judgment on the privacy leakage risk assessment index according to the corresponding privacy leakage risk threshold value; the threat identification precision can be improved, and risk early warning is realized.

The invention provides a malicious program detection method and computer equipment, and relates to the field of computer security. Before the process runs, the computer equipment judges whether the process is triggered by the shortcut or not, and if the process is triggered by the shortcut, whether the process is a malicious process or not is judged according to the process information. The process information comprises dynamic behavior information, and the dynamic behavior information comprises information generated in a creating stage and / or a starting stage of the process. Malicious detection is carried out by using the information dynamically extracted in the creation stage and / or the starting stage of the process, so that an attacker has no opportunity to modify or mix the information, and bypassing of detection can be avoided. The dynamic behavior information is generated in the creating stage and / or the starting stage of the process, so that malicious detection on the process can be completed before the process runs, that is, malicious detection is performed on the shortcut before the shortcut really runs, and the malicious shortcut can be prevented from executing malicious behaviors in time.

The invention discloses a process file system access optimization method and device based on an eBPF. The method comprises the following steps: collecting information of a procfs node through an eBPF program, and writing the information into eBPF annular buffer mapping mapped to address spaces of a plurality of user processes; the user process calculates a hash identifier according to the target procfs node path and searches a corresponding mapping item in a shared annular array based on the hash identifier, and the mapping item comprises an annular buffer address pointing to target procfs node information stored in eBPF annular buffer mapping; and if the searching is successful, reading the information of the target procfs node according to the address of the ring buffer. According to the method and the device, the problem of low efficiency of tools in the prior art, such as ps, when the system process information is acquired can be solved on the premise of ensuring the security.

A process route generation system and a process route generation method. The process route generation system comprises a processor and a storage device. The processor is configured to execute a plurality of modules. A regression analysis module is used for executing a regression algorithm on the basis of demand data to obtain process parameters and material information. An association analysis module is used for executing association analysis on the basis of the process parameters and the material information to respectively obtain first process information and second process information. The association analysis module comprises a process and process association module. The process and process association module is used for obtaining an associated process route on the basis of one of the first process information and the second process information. A deep learning module is used for generating a candidate process route on the basis of the demand data. The processor compares the associated process route and the candidate process route to generate a recommended process route.

The invention relates to a product customization and configuration method and system based on a product model and a knowledge base. The method comprises the following steps: (a) associating a product structure model and a product knowledge base of a target product series; (b) constructing a product configuration model integrating a product structure model, a product knowledge graph and a configuration rule; (c) customer demand parameters are received, and a customized configuration scheme is generated through the product configuration model; (d) automatically generating a design material list and a process material list based on the customized configuration scheme; and (e) executing cost accounting according to the generated design bill of material and the process bill of material and outputting quotation data. The method has the advantages that the requirement of a user for customization can be met, the requirement for configuration can also be met, data such as technologies and processes can be automatically configured for the user, the data can be synchronously updated to related software systems such as PLM and PDM, and the intelligent design and intelligent manufacturing capacity of an enterprise is greatly improved.

The invention discloses a machine room equipment operation and maintenance record sharing and traceability method based on a block chain, and relates to the technical field of machine room data traceability, and the method comprises the steps: collecting machine room equipment whole process information and operation and maintenance personnel behavior data, generating an under-chain equipment data set, and building a data identifier and an index on the chain; monitoring an update event of distributed storage under the chain in real time, generating a field-level change log and dynamically updating a data abstract; calculating a permission open value and an equipment response influence value, and distributing an update event to a hierarchical processing strategy according to the permission open value and the equipment response influence value; for a high-risk change triggering correction proposal, forming an authoritative version on a chain after being confirmed by a challenge period and a signature endorsement; and when the equipment is decommissioned or erased, generating a decommissioned evidence packet. The problems that in the prior art, operation and maintenance error correction is difficult, decommissioning erasing lacks physical link proof, authority boundary and evidence isolation is insufficient in the multi-tenant environment, and the credibility of link node treatment is uncertain are solved.

The invention provides a medical instrument intelligent identification method based on the Internet of Things, and the method comprises the steps: obtaining the real-time operation process information of an operation region, generating a current-stage instrument demand set through an instrument demand identification model, and carrying out the specification optimization. And adding the optimized set to a historical instrument demand atlas, updating the atlas, extracting a historical set from the atlas in combination with historical global instrument demand change information, inputting the historical set into an instrument demand change prediction model, and obtaining instrument demand change information. And comparing historical and predicted instrument demand change information, determining a difference, generating real-time instrument demand change information, and finally displaying a to-be-prepared instrument list on the Internet of Things terminal. The accuracy and efficiency of surgical instrument supply can be improved, the surgical risk is reduced, and the overall management level of an operating room is improved.