142 results about "Process management system" patented technology

The invention discloses a construction project whole-process management system and method with a BIM3D-6D technology as a base, and relates to the technical field of construction project management, and the method comprises the steps: loading a 3D building information model through a BIM lightweight calculation server, extracting the spatial topological relation and IFC semantic attributes of geometric components, and carrying out the calculation of the 3D building information model through a BIM lightweight calculation server; spatial topology analysis and semantic attribute mapping are carried out on the spatial topology relation of the geometric components and the IFC semantic attributes, and a three-dimensional data topology network packet based on a graph structure is generated; performing multi-dimensional deduction operation on the three-dimensional data topology network packet based on the graph structure to obtain a deviation compensation strategy containing an optimal cost control path; and carrying out dimension expansion and data fusion on the 3D building information model to generate a 5D cost dimension data set. Discrete decisions are converted into a continuous field model through mathematical transformation, so that a resource flow path has spatial relevance and time continuity, and the beneficial effect of dynamically optimizing a construction process is achieved.

The invention relates to the technical field of building construction management, and discloses an assembly type building construction whole process management system based on artificial intelligence. The system comprises a construction element sensing layer, a construction state mapping layer, a strategy synthesis layer and an execution coordination layer which are connected in sequence. The construction element sensing layer continuously captures on-site multi-modal environment data and component state data; the construction state mapping layer fuses multi-source data into a construction scene digital image with space-time relevance, and key path nodes and potential conflict domains in a construction process are analyzed and identified through a depth mode; the strategy synthesis layer generates a dynamic optimization strategy set for hoisting, transportation and installation processes based on the identification result; and the execution coordination layer drives on-site construction equipment to execute the corresponding instruction sequence. By constructing the digital image and deeply analyzing the construction mode, accurate insight and dynamic optimization of the construction process are realized, the construction efficiency and the automation level are improved, and process conflicts and resource waste are reduced.

The invention discloses a project process management system fusing text analysis and progress tracking, and the system comprises the following modules: a dual-channel guide fusion module which is used for extracting a context semantic vector and a structure intention vector from a preprocessed text sequence, and generating a fusion representation for task element recognition; the self-adaptive weight module is used for carrying out adjustable aggregation and comprehensive association degree calculation on the multi-source semantic features; the edge weight self-adaptive sparsification processing module is used for performing edge weight screening and structure optimization on an edge set in the initial inter-task association graph and outputting a sparsified task dependency graph; the cross-layer state sensing module is used for adjusting a node style and an edge state to reflect a global execution trend; and the path rearrangement module is used for triggering key path analysis and structure reconstruction logic to form a new path structure. According to the invention, semantic analysis and graph modeling are fused, and an intelligent linkage project process management system is constructed.

The invention relates to the technical field of intelligent monitoring management, particularly discloses an intelligent assembly component whole-process management system, and aims to optimize production efficiency and product quality through real-time data acquisition and analysis. The system comprises a data acquisition module which monitors and records the switching time of each process and the quality inspection qualified rate of each component in real time through a sensor and automation equipment on an integrated production line, a production plan evaluation module which calculates a switching time abnormal coefficient, identifies a bottleneck or low-efficiency operation in the process switching time, and evaluates the quality inspection qualified rate of each component according to the bottleneck or low-efficiency operation. And the process switching time is dynamically adjusted based on the specific numerical values of the influence interference factors and the positive and negative characteristics of the influence interference factors, the production quality evaluation module calculates a quality abnormal coefficient according to the quality inspection qualified rate and judges the quality fluctuation condition of each component, and the influence analysis and adjustment module predicts the quality qualified rate by using a gradient enhanced regression model. The process switching time is dynamically adjusted to eliminate potential quality problems.

An authorization flow management system provides multiple authorization options to a user when conducting an authorization event. The system provides options to a user during an authorization event to select a preferred interaction path without integrating the process into a merchant system. The system receives a request from a merchant computing device to authorize an interaction with a user and provides instructions to a user computing device to open a window on a user interface to receive a security code and to display options to select from one of at least two interaction paths, such as paying with rewards points or with an equal payment plan. When the user communicates a response to the opened window that selects one of the interaction paths and the communicated code, the system conducts the interaction utilizing the selected interaction path and communicates an authorization for the interaction to the merchant computing device.

The invention relates to the technical field of medicine management, and discloses a medicine informatization whole-process management system based on big data analysis. According to the system, a drug full-life-cycle multi-dimensional data stream is captured through a distributed sensing node network, and a drug state tensor is generated after noise filtering and missing value compensation are carried out through a real-time stream processing engine. The risk identification module scans and locates an abnormal data cluster through a multi-scale mode and constructs a drug quality hypersurface model; and the data aggregation module establishes a mapping relation between a state tensor and a quality model by using a space-time diagram attention network and calculates a global consistency metric value. The intelligent decision-making module generates an optimal drug management action sequence based on the measurement value under multiple constraint conditions, the closed-loop control module executes the action sequence and monitors system state deviation in real time, data acquisition parameters are dynamically calibrated, and autonomous optimization and closed-loop management of the whole process of drugs are achieved.

The invention relates to the technical field of process modeling, in particular to an intelligent process management system based on process parameter modeling, which comprises a parameter acquisition module, a nested analysis module, a path construction module, a coupling deconstruction module and a structure compression module. According to the method, the hierarchy and expression accuracy of parameter organization are improved by collecting structured interface information and constructing a parameter mapping relation, dominant and attached parameters are set to form a control logic hierarchy, the clarity and controllability of process parameter response are enhanced, and the stability and anomaly adaptability of path combination are improved; the node frequency and sequence difference are compared to form an interference disassembly fragment, structural anomaly perception and local reconstruction efficiency are enhanced, a path tree structure is constructed through compression and recombination of a repeated path segment, the reusability and organization compactness of path information are improved, parameter logic nesting, path change tracking and interference analysis are achieved under multi-process cooperation, and the reliability of the system is improved. And the logic coupling identification capability, the structural adaptability and the expression precision of process modeling are enhanced.

The invention relates to the technical field of intelligent manufacturing and supply chain collaborative management of woven garments, in particular to a garment production process management system based on artificial intelligence, and the system comprises a production network management center which is used for obtaining a node execution entropy value; the demand dynamic analysis unit is used for carrying out feature extraction analysis on the collected unstructured design data to obtain an order complexity coefficient; the strategy game matching unit is used for obtaining a steady-state scheduling signal or a recovery scheduling signal; when a steady-state scheduling signal is generated, the collaborative scheduling execution unit is used for generating a global optimal scheduling instruction, and minimizing turnover time is taken as an optimization target; when a recovery scheduling signal is generated, the collaborative scheduling execution unit is used for generating a risk recovery scheduling instruction, taking a minimum node execution entropy value as an optimization target, and actively inhibiting pursuit of turnover time; according to the method, the problem that the hidden risk of the node cannot be sensed in the prior art is effectively solved, and an accurate quantitative basis is provided for subsequent preventive scheduling.

The invention provides a process digital collaborative management method and system based on a data unified exchange platform, and belongs to the technical field of industrial software and intelligent manufacturing, and the method comprises the steps: constructing the data unified exchange platform, so as to achieve the data exchange among a process management system, a PLM system and a production management system; in the process management system, based on the EBOM obtained from the PLM system, constructing and managing a multi-state process BOM including a basic PBOM, a trial-production PBOM and a production PBOM; and a collaboration mechanism is constructed through a data unified exchange platform, so that business collaboration based on the multi-state process BOM is realized. According to the method, the problems of data consistency and flow collaboration which troubles the manufacturing industry for a long time are solved, and key technical support is provided for enterprises to realize digital transformation and intelligent upgrading through efficiency improvement, quality guarantee, cost control and knowledge precipitation.

The invention provides an information technology consultation process management system based on the Internet, and relates to the technical field of information technology management. A client interaction port of the system collects consultation texts and operation events in real time to generate a behavior track data set; the semantic path tracking module analyzes the data set to construct a demand evolution diagram; the path response arrangement module generates a service sequence according to the demand evolution diagram and binds consultant resources; the service recording module monitors data such as satisfaction and time delay to trigger path optimization, analyzes the weight of an efficiency attenuation point reconstruction demand evolution diagram and inputs the weight into the information pushing module during path optimization; and the information pushing module actively pushes a solution entry according to the information. The problems that dynamic changes of client intentions are difficult to accurately capture and the service process cannot be optimized in real time are solved, the intelligent level and the execution efficiency of the consultation process are improved, the experience feeling and the satisfaction degree of clients are improved, and meanwhile the utilization efficiency of consultation resources is improved.

The invention provides a man-machine co-creation enterprise business process management system, belongs to the field of enterprise business process management, and is used for solving the problems of unreasonable task allocation, insufficient process monitoring and difficulty in knowledge reuse of a traditional system. The system comprises a task triggering and analyzing module, a disassembling and planning module, a workflow generating and optimizing module and the like. A task is obtained and analyzed through a task triggering and analyzing module, the task is disassembled by utilizing multiple strategies, workflow is determined through multi-objective optimization, man-machine execution subtasks are coordinated, the process is monitored in real time and dynamically adjusted, and meanwhile service data are collected to optimize AI capacity and accumulate enterprise knowledge. The system realizes full-life-cycle intelligent management of the business process from initiation, execution to optimization, improves the business execution efficiency and resource utilization rate of enterprises, and enhances the adaptability and core competitiveness of the enterprises to business changes.

The invention relates to the technical field of product traceability information management, in particular to a product traceability authentication full-process management system, which comprises the following steps of: determining equipment feature tags of different user types by analyzing equipment communication information in historical account login information, and matching current user equipment scanning information to identify the type of the current user equipment; historical browsing information is called based on the user type, the occurrence frequency of page browsing content and a node time coefficient are analyzed, a node content expression coefficient is calculated to generate information arrangement data, and finally the data are displayed on terminal equipment, so that a product full-process traceability data closed loop is realized, the authentication credibility is improved, and the user experience is improved. And meanwhile, the user type is accurately identified and the service is adapted, so that information redundancy is avoided, the terminal experience is optimized, the user acceptability is enhanced, and the problems of insufficient whole-process coverage and extensive service of a traditional system are further solved.

The invention relates to an AI-based full-process management system for a dried beancurd stick production line, which belongs to the technical field of intelligent production management and industrial process control, and comprises a real-time material characteristic sensing module used for detecting biophysical characteristics of soybean milk in the production process in real time and generating biophysical characteristic vectors; the quality evolution prediction module is used for calculating an expected quality score and a corresponding prediction confidence coefficient; the dynamic process optimization module is used for resolving dynamic compensation process parameters; the process instruction execution module is used for adjusting an execution unit on the production line; the finished product quality detection module is used for detecting the quality of a final finished product and generating the actual quality of the final product; and the data flywheel self-learning module is used for carrying out iterative training on the quality prediction model and the dynamic optimization model. According to the invention, a lagging management mode of postmortem detection in traditional production is converted into a prospective management mode of beforehand early warning and in-process regulation and control, so that potential quality reduction risks can be foreseen in advance and actively avoided.

The invention discloses a communication network operation state monitoring method and system, and belongs to the technical field of communication networks. The method comprises the steps of determining a supervision range and multi-source data acquisition, determining a monitoring boundary, collecting full-dimension original data, and obtaining online network data, local environment data and equipment maintenance data for constructing the original data; according to the method, through feature conversion and association rule analysis, the abnormal misjudgment rate is remarkably reduced, and the maintenance and inspection resource utilization efficiency is improved; the limitation of traditional passive monitoring is broken through, prediction analysis is taken as a core, maintenance and inspection linkage is taken as a support, risk disposal is upgraded from post-event response to pre-event prevention, the abnormal response time is effectively shortened, and the influence of disconnection on production efficiency and safety production is avoided; a full-process management system of accurate monitoring, early warning in advance and efficient disposal is constructed, the stability of a communication link of the intelligent equipment is practically guaranteed, and reliable communication support is provided for digital production of a factory area.

The invention discloses a smart agriculture whole-process management system based on environment detection and farmland inspection, and relates to the technical field of smart agriculture, and the system comprises a grid modeling module which is used for constructing a knowledge network, dividing a land block boundary into a plurality of management units, and creating scene grid nodes for each management unit in the knowledge network, the corresponding scene element information is written into scene grid nodes, and a scene knowledge grid basic graph is generated; and the patrol decision module is used for mapping patrol observation records obtained at preset patrol anchor points into patrol event nodes, associating the patrol event nodes with the corresponding periodic scene view sub-graphs and carrying out rule matching to generate a management task node set. According to the method, patrol event nodes and periodic scene view sub-graphs are associated according to scene grids and time proximity relationships, rule matching is performed through a preset scene rule template, and a trigger chain of environment state-patrol description-management tasks is explicitly described in the same knowledge network.

The invention relates to the technical field of agricultural informatization and intelligent management, in particular to a selenium-rich bio-organic fertilizer research and development and demonstration and popularization full-process management system, which comprises a raw material digital filing module, a raw material fingerprint feature vector generation module and a selenium-rich bio-organic fertilizer research and development and demonstration and popularization module, and is characterized in that the raw material digital filing module is used for executing a moving average filtering algorithm to clean data; the market demand reverse analysis module is used for extracting, calculating and generating an environment demand constraint matrix representing market differentiation demands based on a preset element circulation rule; the research and development and production scheduling intelligent decision-making module is used for starting an evolutionary resolving model, mapping raw material fingerprints to an environment constraint matrix and outputting a dynamic production management instruction list; the production execution supervision module is used for distributing an instruction to the terminal and monitoring process execution data in real time; the full-life-cycle closed-loop optimization module is used for obtaining feedback data calculation deviation and generating correction factors to update model parameters; the method solves the contradiction between the heterogeneity of the non-standard biomass raw materials and the precise nutritional requirements of functional agricultural products.

The invention belongs to the technical field of informatization management, and discloses a shared laboratory service full-process management system and method based on a micro-service architecture. Comprising the steps of performing user authentication on a laboratory user, and generating basic credit line data; the account age of the laboratory order is monitored in real time, and whether a user account is set to be in a frozen state is judged; receiving repayment state data, calculating an unfreezing waiting period, and recovering the user account to a normal state after the unfreezing waiting period is ended; when the user account is in a normal state, starting second-reading timing before the user places an order, and generating an anti-bypassing behavior log; after the second-reading timing is finished, generating comprehensive hash data, executing a digital signature, and generating signature chain data; generating an experiment detection report according to the signature chain data, and embedding a hidden watermark containing comprehensive hash data; the performance bottleneck of a traditional single framework in a high-concurrency scene can be effectively solved, and the management efficiency, the risk control capability and the service quality of the shared laboratory are improved.

This technology enables accurate detection of parent and child objects from images captured by cameras, such as wearable cameras, whose camera angle and position change. [Solution] The parent component detection unit 20 detects the parent component image region from the image captured by the wearable camera 40. The child component detection unit 30 detects the child component image region within the parent component image. The parent component detection unit 20 includes a parent component neural network 22 that has been trained on images including the parent component image region. The parent component neural network 22 sets up multiple candidate regions (bounding boxes) in the captured image and identifies the candidate region with the highest confidence score for the parent component image region. When the obtained confidence score is equal to or greater than the parent component threshold over a predetermined number of frames of the video, the parent component detection unit 20 confirms the candidate region that is equal to or greater than the parent component threshold, detected in the captured image after the predetermined number of frames, as the parent component image region.

This application discloses a power training end-to-end management system and method based on digital threads, belonging to the field of power training information management. The system uses a digital thread engine as its core hub, connecting data and business flows across modules such as training resources, information, examinations, and points. It anchors the entire lifecycle behavior trajectory of trainees through unique identifiers and timestamps, achieving dynamic mapping and real-time traceability of all elements. The digital thread engine incorporates an AI-MLP neural network and a lightweight GNN module, automatically identifying inflection points in skill development and knowledge gaps, accurately attributing them to long-term skill evolution. The examination management module employs an AI anti-cheating mechanism, enabling seamless post-exam learning. The training resource module connects to a digital twin model, supporting AR immersive practical training. This invention constructs a closed loop of "learning-practice-examination-evaluation-application," improving the accuracy and practicality of training, addressing pain points such as low efficiency in new energy operation and maintenance talent training and fragmented training management, and providing solid talent support for the new energy industry.

The invention discloses a hand plate mold detection process optimization management method and system, relates to the technical field of mold detection, and aims to solve the problems of low efficiency and quality risk when a traditional detection process management system treats a novel composite material and a complex free-form surface structure hand plate mold. The method comprises the following steps: acquiring material characteristic data and geometric characteristic data of a to-be-detected mold; inputting the material characteristic data, the geometric characteristic data and the real-time state parameters and the dynamic capability parameters of the detection equipment into a preset virtual simulation module for detection process rehearsal; according to a rehearsal result output by the virtual simulation module, identifying a potential detection risk associated with the to-be-detected mold; the potential detection risks comprise the scanning blind area proportion, the number of interference points of the measuring head and the estimated detection time consumption deviation.

The application discloses a construction organization whole-process management system, which is suitable for a railway construction process and comprises an interactive sharing platform, a preliminary management module, an execution period management module and a completion period management module, wherein the interactive sharing platform is a center for information sharing and data exchange of construction participants and is used for monitoring abnormal construction processes; the preliminary management module performs preliminary analysis according to shared data and uploads the preliminary analysis to the interactive sharing platform in real time; the execution period management module supervises progress and quality in a construction execution process, generates efficiency and quality analysis results and uploads the efficiency and quality analysis results to the interactive sharing platform; the completion period management module acquires customer internal acceptance information after completion, analyzes differences between the acceptance information, summarizes the differences, generates a project delivery report and uploads the project delivery report to the interactive sharing platform; and the tracing module is used for storing data of various construction projects in categories; the whole-process management system realizes information sharing of the railway construction process, supervision and early warning of abnormal construction, increases experiences of customer parties and railway management parties, improves project completion capability and customer satisfaction and realizes data tracing.

The invention discloses a pregnancy assisting process management system and method based on intelligent interaction, and relates to the technical field of data processing. The intelligent interaction-based pregnancy assisting process management method comprises the steps of S1, collecting pregnancy assisting stage data and historical symptom data of a pregnancy assisting process, performing preprocessing, generating semantic vectors in combination with natural language processing, and constructing a pregnancy assisting management database; s2, analyzing semantic meanings of the symptom words in different pregnancy-assisting stages through pregnancy-assisting stage data, and adjusting the matching precision of the symptoms and the pregnancy-assisting stages; s3, quantifying the context matching degree by analyzing the comprehensive semantic representation and stage semantic difference of the symptom words; and S4, fusing multi-dimensional stage semantics, feature data, evaluation symptoms and pregnancy assisting stage matching degrees to carry out stage classification analysis, and realizing stage attribution optimization and problem type classification. The problems that in the pregnancy assisting process, symptoms and different stages are difficult to accurately match, contextual understanding is insufficient, and the problem classification error is large are solved.

This application discloses a method, apparatus, device, and medium for converting process models into Extensible Markup Language (XML) files. If it is necessary to import a process model from a source process management system into a target process management system, the source XML file of the process model needs to be converted into a target XML file that the target process engine can parse. This achieves the synchronization and interaction of process models in process management systems based on different types of process engines.

The invention relates to the technical field of process control, in particular to an automatic rainwater collection and reuse process management system and method, and the system comprises a rainfall load dynamic evaluation module, a runoff drainage path optimization module, a reuse flow collaborative scheduling module, an operation energy efficiency modeling module and a reuse process feature output module. According to the method, the deposition distribution of the solid-liquid two-phase flow is deduced based on the water flow shear force and the dynamic energy dissipation rate, the runoff drainage path is optimized, the momentum peak value is captured, the flow state evolution precision under the rainfall impact is improved, the hydraulic slope fall of the gravity flow and the pressure flow is analyzed, and the water head loss sudden change section caused by pipe diameter shrinkage and the elbow is checked; the eddy current energy consumption accumulation effect caused by water pressure pulsation and turbulent flow surge is accurately mapped, the anti-scouring and anti-resonance hydraulic stable window period is extracted, the synchronous cooperative response safety of multiple valve sets of an executing mechanism is enhanced, pipe network cavitation and cavitation erosion and water hammer oscillation abrasion are reduced, and it is ensured that water pump transmission is efficient and stable.

A radiation oncology workflow management system is provided. The system may include interactive graphical interface and a particularly programmed processor, thereby to perform operations including displaying a window containing a user interface (UI) environment on a computer screen, parsing an input received from a user via the UI environment, thereby to determine which of a plurality of atomic application functions is indicated by the input, automatically interacting with an atomic application associated with the atomic application function determined to be indicated by the input, and automatically displaying information received from the atomic application via the UI environment.

Methods, systems, and computer-readable media are provided for asynchronous process automation that efficiently manages asynchronous processes based on process control metadata to keep data up-to-date at an adaptively variable type-specific cadence based on process control metadata, eliminating the need for manual engagement to maintain operational activities. An event-driven framework is provided for the asynchronous process automation that includes AI agent(s) for interactions, along with a process management system that tracks pending potential work items due to one or more changes in source data. The process management system activates an asynchronous process management process after a wait period. The process management system then determines which pending potential work items to perform in an iteration of evaluation of the pending potential work items. The process control metadata includes stored limitations on a timing for performing individual processes. The process management system prioritizes processes based on process control metadata, such as prioritizing specific ones over others, including throttling certain other processes during high impact time-sensitive activities.

The invention provides a tunnel construction process management system and method, and relates to the technical field of tunnel construction, and the system comprises an information obtaining unit which is used for obtaining process creation information; the data splitting unit is used for performing data splitting on the process creation information to obtain subitem creation process information; the energy efficiency detection unit is used for carrying out process energy efficiency detection on the process information for creating the subitem to obtain a process efficiency index; the subitem optimization unit is used for performing subitem process optimization on the process efficiency indexes to obtain corresponding optimized subitem process information; the working procedure splicing unit is used for splicing working procedures so as to fuse and generate tunnel construction working procedures; and the dynamic optimization unit is used for carrying out influence evaluation on the tunnel construction process so as to carry out dynamic management optimization on the tunnel construction process. According to the system and the method provided by the invention, site construction conditions can be better matched, the response capability of process execution parameters is improved, and effective management of tunnel construction processes is ensured.

1. Name of the product in this design: Graphical User Interface for Managing the Promotional Planning Process of Electronic Devices. 2. Intended use of this design: for use in an electronic device. 3. The key design features of this product are its graphical user interface content. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Uses of the graphical user interface: for managing the workflow of advertising and promotional planning projects. 6. Human-computer interaction method of graphical user interface: The main view is the budget information maintenance interface of the publicity and planning process management system. When the user clicks the "Publicity and Planning Management" button on the left side of the main view, the user will jump to the interface change state diagram 1. The interface change state diagram 1 shows the query interface of supplier settlement summary in publicity and planning management. When the user selects the purchase date, the reimbursement date and the supplier and clicks the "Query" button, the user will jump to the interface change state diagram 2. The interface change state diagram 2 shows the query result interface of supplier settlement summary ledger query. 7. Other situations requiring explanation: Other explanation: "XXX" in the interface represents replaceable text content, and the gray blocks in the interface represent replaceable images.

The application provides an intestinal preparation quality real-time evaluation and whole-process management system based on artificial intelligence, which comprises the following functions: patient end provides intestinal preparation start time setting, laxative type selection, examination process and matters needing attention query and online consultation function; medical staff end provides patient management, progress and cleanliness score monitoring, early warning processing, data export and message interaction function, wherein the intelligent data acquisition module acquires multi-dimensional data; the artificial intelligence dynamic scoring module analyzes the data based on a deep learning model, generates a cleanliness pre-score and determines a quality grade; the active early warning and intervention module analyzes the data in real time, issues an early warning and provides intervention suggestions; the medical examination result closed-loop verification module receives the doctor's score after colonoscopy, compares and analyzes the pre-score, and optimizes the evaluation model. The application realizes the standardized guidance, active risk early warning and closed-loop optimization management of the intestinal preparation process, effectively improves the preparation quality, guarantees the safety of patients and optimizes the clinical decision-making.