869 results about "Process information" patented technology

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.

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 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 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.

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 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.

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 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 vehicle-mounted test abnormal log automatic lading method based on rule matching, and the method comprises the steps: firstly collecting log data from multiple data sources of a vehicle-mounted test, converting the log data into structured log entries through preprocessing, and forming a log event pool; comparing the structured log entries with the standardized rule base in real time, and generating abnormal candidate events if matching succeeds; performing context correlation analysis on the abnormal candidate events through a log time sequence and multi-source cross information, eliminating noise and false alarms, and merging correlation events to obtain a confirmed abnormal event set; extracting abnormal event key information, automatically filling a defect list template, generating a defect list containing a log attachment, and submitting the defect list to a defect management platform; and finally, recording the whole process information of the lading bill, and establishing traceability association of the defect bill, the original log and the matching rule to realize the version management of the lading bill. The processing efficiency of the test log can be improved.

The invention relates to a k8s-based fine-grained monitoring method and system for a shared GPU container, and belongs to the technical field of computers.The method comprises the steps that configuration information of a monitoring module is set and transmitted into a service container in an environment variable form; the method comprises the following steps: deploying a monitoring module on each k8s cluster machine to obtain GPU process information; acquiring local process information of a machine by using a monitoring module to obtain a system-level index; obtaining a k8s container UID through a process identifier PID in the GPU process information, associating the k8s container UID to a k8s container name, calculating occupation information of a plurality of GPU containers, and obtaining a process-level index; and exposing the system-level index and the process-level index to a prometheus system alarm tool and carrying out verification on the system-level index and the process-level index. According to the method and the system provided by the invention, the granularity of GPU resource collection can be improved through two modes of obtaining the GPU resource information in the machine and obtaining the GPU information in the container.

The invention provides an intelligent medical whole-process information management method based on a. NET platform and related equipment, and relates to the technical field of intelligent medical treatment. According to the method, firstly, a personalized user illness state portrait is constructed, historical similar treatment processes are matched, and key contact points are extracted, so that a planned starting point is ensured to be a reasonable process meeting individual requirements of a patient; on the basis, a graph attention network model is introduced to calculate the correlation degree weight between the contact points. And the internal logic and cooperation relationship among different diagnosis and treatment links are disclosed. And finally, carrying out fusion weighting on the static and deep logic weight and the dynamically changed real-time queuing data to generate a dynamic priority. Through the fusion, the finally reconstructed optimized treatment task flow does not simply pursue the shortest local queuing time, but realizes the balance between the medical logic importance and the instant efficiency, so that the preciseness and rationality of the path are realized, and the global treatment efficiency is improved.

A non-transitory computer-readable medium storing instructions which, when executed by a processor, cause performance of a method of notifying a user of a consolidated event, the method including: receiving a first datum from a first source and a second datum from a second source, wherein the first and second sources are both connected to a network; processing information associated with the first datum to identify an event information associated with the first datum; processing information associated with the second datum to identify an event information associated with the second datum; comparing at least a portion of the event information associated with the first datum with at least a portion of the event information associated with the second datum; determining occurrence of a consolidated event based on the comparing; determining a notification based on the determined consolidated event; and causing transmission of the determined notification to a user device.

The invention discloses a detection report traceability method based on image recognition, and relates to the technical field of image recognition, and the method comprises the steps: generating a product two-dimensional code label of a to-be-detected product, scanning a code to obtain initial record information of the product, creating a collection timestamp, shooting a code scanning process to obtain collection video information, and storing the collection video information in a database; creating an initial node of a traceability chain based on the product two-dimensional code label, the product initial record information and the collected video information; setting circulation information of the to-be-detected product is determined according to the technological process information of the to-be-detected product, a plurality of product circulation nodes of a feature traceability chain are created, real-time circulation record information of the to-be-detected product is detected, the real-time circulation record information and the setting circulation information are compared to judge whether abnormity exists or not, and circulation abnormity information is recorded if abnormity exists; full-process shooting is carried out on a to-be-detected product to obtain full-process video information, and detection is carried out based on the environment sensing integration module to obtain environment detection parameter information. The method and the device have the effect of improving the working efficiency of detection report traceability based on image recognition.

The invention discloses a casting part multi-mode intelligent cost accounting method and system, and relates to the technical field of casting engineering and intelligent cost accounting. The casting part multi-mode intelligent cost accounting method comprises the steps that process information in casting engineering is extracted and processed in a structured mode, and missing information of a plane drawing is automatically supplemented; matching a target casting process route and key parameters based on the process information subjected to the structured processing; and calculating the basic total cost according to the target casting process route, and correcting the basic total cost in combination with the historical data deviation, the real-time market data and the order variables to obtain the corrected total cost. Unified automatic analysis of the plane drawing and the three-dimensional drawing is achieved, the problem that information of the plane drawing is incomplete is solved through image recognition and rule completion, and the limitation that only a single drawing type is supported is broken through; the casting process constraint extracted from the three-dimensional drawing is directly used as a core parameter of process matching, and the plane drawing indirectly maps process requirements through feature recognition, so that quantitative association of drawing information-process parameter-cost is realized.

The invention discloses a log node double-robot collaborative processing system and a collaborative processing method thereof. The method comprises the steps that firstly, a log conveyed to a bearing platform is subjected to coarse positioning through a fixed vision unit; then a first vision unit at the tail end of the grabbing robot is driven to conduct multi-view-angle three-dimensional scanning on the log, a high-precision point cloud model is reconstructed and registered with a pre-stored digital model containing process information, and the grabbing pose and the initial machining path are synchronously planned; then the grabbing robot grabs and carries the logs to the cooperative position; secondly, a second vision unit at the tail end of the machining robot conducts secondary scanning on the log in the holding state, the pose deviation is calculated through matching, the initial machining path is compensated in real time, and a self-adaptive path is generated; and finally, the machining robot executes milling according to the compensation path. Full-process automation and self-adaptive high-precision machining from sensing, positioning, grabbing to machining are achieved, and the flexible machining problem of multi-scale logs is effectively solved.

The invention discloses a road electromechanical operation and maintenance deduction optimization system and method based on digital twinning, and belongs to the technical field of digital twinning and intelligent traffic. The system comprises a data processing module used for generating a weighted data stream carrying a confidence coefficient weight; the model correction module is used for carrying out residual error correction on a twin model based on the weighted data stream and the physical anchor points; the effect verification module is used for verifying the physical execution effect of the control instruction by matching the causal fingerprint; and the decision optimization module is used for carrying out iterative optimization on the system decision model according to the verification result. According to the method, a whole-process information fidelity closed-loop management and control framework from data perception, model cognition to control execution is constructed, so that the reliability, the accuracy and the intelligent level of the digital twin system in a complex highway electromechanical operation and maintenance scene are improved.

The embodiment of the invention relates to an information processing method and device, equipment and a storage medium, and the method comprises the steps: firstly, receiving user question information, then inputting the user question information into a dialogue model, and enabling the dialogue model to generate thinking process information and answer information according to the user question information. Wherein the thinking process information is used for describing a thinking process for generating answer information for the user question information. And according to the thinking process information, generating a first visual content which organizes and displays the thinking process information in a preset visual form. Visibly, according to the embodiment of the invention, on the basis of generating the answer information for the user question information, the thinking process information and the visual content of the thinking process information are generated for the user question information, so that the user can conveniently understand the thinking process from the user question information to the generation of the answer information; and the difficulty of understanding and reading the answer information by the user is reduced.

The invention relates to an information processing method and device, equipment and a storage medium, and the method comprises the steps: responding to query information inputted in a session window of a first page, and displaying thinking plan contents corresponding to the query information in the session window; sequentially executing tasks according to an execution sequence relationship among the task nodes in the thinking plan content, and synchronously displaying thinking process information corresponding to the task nodes in an execution state in an information window; after tasks corresponding to the task nodes in the thinking plan content are executed, the answer content corresponding to the query information is displayed in the session window. Visibly, according to the embodiment of the invention, the thinking plan content corresponding to the query information is displayed in the session window, and the thinking process information corresponding to each task node in the thinking plan content is synchronously displayed in the information window, so that the transparency of the thinking process of generating the answer content based on the query information is increased; therefore, the question-answering experience of the user is improved.

A computer-implemented method, system and computer program product for handling eviction of subprocess pods of a node. An indication to evict pods of a node in a container environment is received. Upon receiving such an indication, process information pertaining to the evicted pods is retrieved. In scenarios in which some of the evicted pods include subprocess pods, based on such processing information, those subprocess pods with a timeout that is less than a threshold value may be tagged for timeout handling. Such timeout handling involves selecting a number of subprocess pods to ensure that their parent process will successfully complete its assigned job. A schedule plan may then be generated for such selected subprocess pods, where the schedule plan updates the timeout for such subprocess pods to enable them to complete execution of their assigned tasks prior to their expiration time (timeout) even though they were evicted.

The invention discloses a chip circuit state self-diagnosis method based on a graph neural network, and the method comprises the following steps: obtaining a chip netlist, layout and process information, collecting multi-source state data to construct a multi-domain coupling graph, and generating a multi-scale calculation tree based on a critical path; standardizing key node noise data, extracting noise fingerprints, constructing a noise consistency graph, and aligning the noise consistency graph with the multi-domain coupling graph to form node features; inputting the multi-scale calculation tree into an improved GFT model, and generating unified graph representation through structure token coding and feature fusion; constructing a multi-scale transition graph neural network, simulating multi-domain state propagation and outputting an abnormal score; anti-fact operation and reversible disturbance are applied to the high abnormal score nodes to generate an anti-fact state diagram, and a fault causal chain is constructed; and performing topological variation inversion based on the abnormal score and the causal chain to obtain a fault position, a fault type and a fault degradation trend. According to the invention, high-precision explainable chip fault self-diagnosis can be realized.

An agent deployment request is received for an external computing environment. An agentic module is configured for deployment to the external computing environment based on characteristics of the external computing environment, wherein the agentic module comprises a computational agent operable to process information stored within the external computing environment and a corresponding agentic controller. Responsive to the agent deployment request, a first unit of software instructions is generated that, when executed, instantiates an agentic module instance within the external computing environment. The first unit of software instructions is transmitted to the external computing environment. A performance metric related to processing of the information stored within the external computing environment by a computational agent instance of the agentic module instance is received from an agentic controller instance of the agentic module instance.

An information processing device processes information provided for a second device, which is used at a place different from that of a mobile object by a user, from a first device mounted in the mobile object. The information processing device includes an acquisition part, a provision part, a reception part, and a brightness modification part. The acquisition part obtains information including moving image data transmitted by the first device. The provision part provides moving image data for the second device based on the information obtained by the acquisition part. The reception part accepts a first operation performed for a partial area of a moving image presented to the user based on the moving image data provided for the second device by the provision part. The brightness modification part changes brightness of the partial area of the moving image based on the first operation accepted by the reception part.

Provided in the embodiments of the present application are a file access method and an electronic device, the method comprising: receiving process information of an application process that is sent by a core, wherein the core is used for suspending the application process when the application process has been detected; on the basis of the process information, calculating an actual metric value of a program file corresponding to the application process and an actual metric value of a target file to be accessed by the application process, and on the basis of the actual metric value of the program file and the actual metric value of the target file, obtaining a determination result, wherein the determination result comprises allowing the application process to access the target file or not allowing the application process to access the target file; and sending the determination result to the core, such that the core wakes up the application process, and releases or intercepts the application process. The solution can improve the safety and reliability of file access.

The invention belongs to the field of electric power facility protection, and relates to an electric power facility external damage follow-up method and system, and the system comprises a follow-up process management module, an electric quantity loss calculation module, a block chain data analysis module, an electricity price loss calculation module, a simulation evaluation module and a typical case library module. The follow-up process management module manages whole-process information processing and follow-up work of the external breaking case according to a standardized process; the electric quantity loss calculation module analyzes the electric quantity loss of the external damage accident through a neural network algorithm and performs loss accounting; the block chain data analysis module carries out real-time evidence storage on external damage event data by utilizing a block chain technology; the electricity price loss calculation module calculates the electricity price loss of the user according to the electric quantity loss analysis result; the simulation evaluation module simulates an external damage accident scene and generates a standardized loss report; and the typical case library module is used for storing and managing typical external breaking cases. According to the invention, high efficiency, accuracy and credibility of external damage follow-up of electric power facilities can be ensured.

The invention provides a green construction building digital management system and method, and relates to the technical field of digital management. The system performs format unification and numerical value standardization processing on the original records to generate a preliminary record set associated with the process information; uniquely affiliating the record to a corresponding process according to the process time interval and the resource list to form a process record sequence; establishing cross-process one-way time association, and forming a deterministic mapping relation between previous and next process records; a three-section increment generation method is adopted to calculate a process resource usage amount, a weight group is generated by extracting a source attribute, a time continuous attribute and a preorder process inheritance attribute, weighted operation is carried out by combining a recorded numerical value, a time difference and a numerical value difference to obtain increment contribution, and finally accumulation is carried out to obtain a total process usage amount. And irreversible forward transmission of the resource usage amount along the process sequence is supported. According to the system, accurate calculation and dynamic management of resource loads in the construction process are realized.

A system includes a storage device including process information and connection information collected by one or more host modules at a plurality of compute nodes and processing circuitry in communication with the storage device. The processing circuitry is configured to associate, with each connection of one or more connections identified in the connection information, one or more applications, wherein each of the one or more applications is an application of a plurality of applications identified in the process information, determine whether each of the one or more applications is a server application or a client application based on the one or more connections, generate a service map comprising an edge representing each connection of the one or more connections and a node representing each server application and each client application of the one or more applications, and output an indication of the service map.

The invention provides a process information monitoring method and device, equipment, a medium and a product, and relates to the technical field of information security. The method comprises the steps that historical static process information of a plurality of processes is taken, and a static process fingerprint database is generated according to the historical static process information; taking historical dynamic process information of the plurality of processes, and generating a dynamic process fingerprint database according to the historical dynamic process information; taking real-time static process information and real-time dynamic process information of the target process, judging whether the real-time static process information is in the static process fingerprint database or not, and if the real-time static process information is in the static process fingerprint database, conditionally releasing the target process; and judging whether the real-time dynamic process information exists in the dynamic process fingerprint database or not, and if yes, completely releasing the target process. A double-fingerprint database verification mechanism is adopted, after an abnormal behavior is injected into a target process, the target process is released through matching of a static process fingerprint database, but a dynamic process fingerprint database detects that the target process deviates from a normal behavior during operation, so that data is intercepted, and the security of the data is remarkably improved.

The invention relates to the technical field of bridge construction monitoring, in particular to a large-scale bridge construction process real-time monitoring control system based on digital twinning, which comprises a benchmark modeling module, a data processing module and a data processing module, constructing a construction plan reference model containing a planned construction period and resource allocation; and the feature analysis module is used for generating a multi-dimensional deviation feature vector by comparing the difference between the plan and the reality based on the construction plan reference model and the actual construction data collected from the construction site in real time. According to the invention, through the feature analysis module, high-frequency comparison is carried out on real-time collected data of a construction site and a reference model in digital twinning, and a multi-dimensional deviation feature vector containing information such as a construction period, resources, quality, safety and the like is generated, so that a manager can accurately master the most real overall state of a project at the first time; and the decision is prevented from being influenced by information transmission lag.

The invention relates to the technical field of industrial automation control, and discloses a multi-station cooperative control method and system of a distributed PLC. The method comprises the steps that independent PLCs are arranged at feeding stations of an annular conveying line, and PLC control units are synchronously formed through an industrial Ethernet and a global clock; the order parameters and the target process information are written into a code carrier on the tray trolley through an RFID radio frequency read-write device, and the code carrier records the process progress, the detection result, the abnormal code and the beat deviation; when the code carrier enters each feeding station along with the tray trolley in sequence, the PLC control unit reads information, monitors the position of the trolley, executes a corresponding task and updates process information in real time; when the detection result is abnormal or the beat deviation exceeds a threshold value, the system triggers a beat adaptive algorithm to generate an optimization instruction set to guide the production beat adjustment; and the warehousing station combines the optimization instruction to execute finished product warehousing or repair processing. The automation level and the production efficiency of a production line are improved.