338 results about "Management process" patented technology

The invention relates to the technical field of management and control systems, in particular to a digital intelligence system applied to collaborative management and control of water-power engineering construction participating units, which comprises a project data management module covering water-power engineering construction full life cycle management, extracting multi-source information data from various subsystems, and constructing a project view and a project management information base; the project risk analysis module is used for constructing an intelligent risk analysis model for risk analysis and generating a dynamic evaluation result, a graded early warning notification and an auxiliary decision scheme; the project collaborative management module is used for processing graded early warning notification and auxiliary decision-making schemes by using a multi-layer perceptron model, and generating finalizing service achievements and management process records; and the project document management module is used for performing compliance automatic checking and processing on the electronic documents needing to be archived, and dynamically updating and optimizing the project management information base. Through the closed-loop management and control system, the cooperative management and control efficiency of water-power engineering construction participation units is improved.

The invention discloses a power grid material sampling inspection management method for realizing whole-course tracing based on intelligent sample sealing, and relates to the technical field of electric power material management and intelligent perception, and the method comprises the following steps: S1, an initialization stage: executing a sample sealing coding segmentation pre-configuration process, distributing independent numbered segments to each sample sealing terminal, and the central control module synchronizes the use state of the terminal code to realize distributed isolation of code generation. According to the invention, coding uniqueness is realized through segmented pre-configuration and global duplicate checking, identity information security is guaranteed by adopting chip one-time write protection and tamper-proof technologies, and sample packet switching and data counterfeiting are effectively prevented by combining automatic acquisition and multi-round consistency comparison. Abnormal recognition and closed-loop processing ensure that abnormal events are frozen in time and responsibility is traced, and irregular samples are prevented from flowing into subsequent links. The whole-process auditing and dynamic optimization enable the management process to be self-perfected, and the intelligence, standardization and reliability of sampling inspection of the power grid materials are remarkably improved.

The invention discloses a software and hardware combined data interaction method and system based on a Modbus communication component. According to the method and the system, different types of Modbus slave devices are managed through a unified communication configuration file and a point table configuration file, so that compatible access to heterogeneous devices is realized; through an optimized point table analysis mechanism, efficient and self-adaptive data acquisition of discontinuous register addresses is supported, and fine processing and conversion are performed on different data types; a graphical configuration management tool is provided, and the equipment configuration and point table management process is simplified; and a standardized command model is used, so that unified control and data interaction of an upper-layer application on Modbus equipment are facilitated. According to the invention, the flexibility, usability and data interaction efficiency of Modbus communication can be remarkably improved, the system integration and operation and maintenance cost is reduced, and an efficient and reliable Modbus communication solution is provided for the field of industrial automation.

The invention discloses a government affair department knowledge base access authority control method based on a block chain, and relates to the technical field of block chains and information security, distributed nodes jointly participate in decision making, the performance bottleneck of a single control point and the single point fault risk are effectively eliminated, and the reliability and stability of a system are remarkably improved; when a plurality of departments need to collaboratively update a strategy, the intelligent contract based on the threshold multi-signature mechanism can automatically execute voting aggregation and a strategy effective process without depending on manual operation of a central administrator, so that the efficiency and the automation level of cross-department collaboration are greatly improved, and the instantaneity and the consistency of strategy change are ensured; the inherent non-tampering and traceable characteristics of the block chain provide powerful auditing guarantee for the whole authority management process; and each policy update request, voting process, final decision and policy version switching are completely recorded on the chain to form a non-repudiated audit clue.

The invention relates to the technical field of safety production management, and discloses a safety production hidden danger closed-loop management and control supervision system and a risk assessment early warning method, and the system comprises an environment modeling module which is used for building a digital model of a production unit and calculating a systematic instability coefficient based on historical data; the risk assessment module is used for quantifying the initial risk potential energy in combination with the coefficient and the hidden danger inherent attribute; the risk evolution module is used for dynamically updating risk potential energy according to a time and space coupling rule; the closed-loop verification module is used for judging the actual effectiveness of the intervention measure by comparing the management entropy before and after the intervention after the intervention measure is implemented; and the self-adaptive feedback module is used for automatically updating the systematic instability coefficient in the environment model according to the judgment result. According to the method, risk quantification, dynamic early warning, effect verification and model self-optimization are integrated, a complete closed-loop management process is formed, and the scientificity and foresight of safety production management are remarkably improved.

The invention provides a double-way buffering mechanism design method for Web services. Two buffering mechanisms based on dynamic pages and static pages perform double-way reading and writing through a database and an xml buffering file, synchronous operation is performed to trigger updated buffering mechanisms, an xml buffering module is used as a using library when a user accesses, a database in an application system is used as a standby library, and reading and writing operations of data are finished in the xml buffering file; and the design content comprises a management process, a reading process and a write-in process of a double-way buffering mechanism. The double-way buffering mechanism design method has the advantages that by means of the dynamic and static combined double-way buffering mechanism, timeliness and accuracy of a system in mass data processing can be improved to a large extent, and performances and service qualities of a Web server are improved.

The invention provides an urban internal lake water pollution treatment method and system. Real-time water quality data are collected from a lake; processing the collected data; using the prediction model to predict a water quality trend and identify a pollution risk; according to the analysis result of the machine learning algorithm and the water quality model, the decision support module generates a targeted treatment strategy; according to the treatment strategy provided by the decision support module, specific treatment measures are implemented; and the intelligent management and control module is used for monitoring and managing the whole treatment process in real time. All the modules are linked to construct a whole-process and intelligent treatment system, the treatment efficiency of urban internal lakes is effectively improved, and continuous improvement of water quality and long-acting restoration of an ecological system are achieved.

The invention discloses an interface design and implementation method of a BMC (Baseboard Management Controller) remote management system based on Redfish. According to the method, a multi-module resource model conforming to Redfish specifications is constructed in a baseboard management controller (BMC), management modules including Systems, Chassis, Managers, Account Service, Session Service, TaskService, Update Service, FRU and the like are integrated, and a unified RESTful interface architecture is formed. The method supports standardized access to management functions such as a server system state, hardware assets, a user account, remote control and firmware upgrading, and meanwhile, a unified authentication mechanism and an asynchronous task mechanism are introduced, so that an efficient and safe out-of-band management process is realized. The system has the advantages of uniform interface, clear structure, safety, controllability, high expandability and the like, and is suitable for various data center and server remote management scenes.

The described techniques address issues related to compatibility and cost-effectiveness of in-vehicle networks. The described techniques may utilize security Ethernet-based protocols, for example, without the need to exchange separate key agreement messages and, consequently, meet the stringent starting time requirements for real-time control systems. Additionally, a membership tracking solution may be implemented in which each node within a membership group may request, or “challenge” other nodes with the same group to verify their online status, and this online status may be maintained over time. Finally, a transmission queue management process is described that deletes queued messages only when it is determined that every intended recipient node received the message, thereby providing atomicity. Retained queued messages may then be re-transmitted in accordance with a transmission schedule.

The invention provides an RAG-based equipment maintenance management knowledge base construction method and system and electronic equipment, and the method comprises the steps: S1, collecting multi-source data related to equipment maintenance, and carrying out standardized preprocessing, the data comprising a maintenance record, a fault report, an equipment manual and expert maintenance experience; s2, storing the preprocessed data into a knowledge base according to a hierarchical structure of equipment maintenance dimensions, and establishing association between maintenance knowledge and equipment features; s3, analyzing equipment maintenance query input by a user, extracting fault feature information and retrieving matched maintenance knowledge fragments; s4, fusing the retrieved maintenance knowledge to generate a structured maintenance scheme, and outputting the structured maintenance scheme after auditing; and S5, continuously updating the knowledge base based on the actual maintenance feedback and the newly added case, and optimizing the association relationship of the maintenance knowledge. By constructing a closed-loop knowledge management process of collection-storage-retrieval-generation-updating, systematic management, accurate matching and intelligent application of equipment maintenance knowledge are realized, the equipment maintenance efficiency and quality are improved, and the maintenance cost is reduced.

The invention discloses a hot patch management method in a passive optical network system, a storage medium and an electronic device, in a Linux system, a patch management process running in a user mode and a patch management unit running in a kernel mode cooperatively execute, and the method comprises the steps that after the patch management process completes loading of a patch pack, the patch pack is loaded in the user mode; acquiring a patch function address and an original function address in the patch pack to obtain a corresponding relation, and configuring the corresponding relation to a patch management unit; when the original function is called, the original function determines to execute the original function logic or jump to the address indicated by the hook parameter by judging the value of the hook parameter; and the patch management unit registers a corresponding probe for each patch function according to the corresponding relationship so as to trigger a processing function of the probe to execute an operation of modifying the value of the hook parameter into a corresponding patch function address before the original function is executed, so that an execution process is skipped to the patch function when the original function is called, and the original function is called. And managing the function-level hotfix of the kernel mode and the user mode in the same framework.

The invention relates to the technical field of network security, and provides a network security policy optimization method and system, and the method comprises the steps: obtaining a detection sensitivity adjustment record of a process of adjusting and managing a network communication mode through a self-adaptive network security system, and carrying out the optimization of a network security policy based on the detection sensitivity adjustment record; identifying a communication mode in which the detection sensitivity is continuously reduced; performing multi-dimensional risk re-assessment on the communication mode to obtain a multi-dimensional risk re-assessment result; the multi-dimensional risk re-assessment comprises the steps of performing association analysis on the communication mode and a preset abnormal behavior to obtain association analysis information; obtaining the current state and operation logic of the industrial production process; verifying the rationality of the communication mode in the industrial control system in combination with the current state and the operation logic to obtain rationality verification information; and according to a multi-dimensional risk re-assessment result, adjusting and optimizing a security policy, and generating and sending alarm information. The method has the effect of improving the network security protection level of the industrial control system.

The invention relates to a reconfigurable equipment simulation system based on software radio, and the system achieves the high-integration, user-friendly and efficient-management reconfigurable equipment simulation system through the modularization and seamless integration of a radio waveform design function, an equipment simulation user operation interface design, a business logic function design and a project management function. Therefore, even if a user does not have a deep programming capability, the user can quickly construct, test, manage and deploy the equipment simulator with complete functions. The system is rich in waveform component and UI component library, customizable in function and good in flexibility, software radio waveform design and equipment simulation are innovatively and seamlessly integrated, automatic non-inductive or manual upgrading can be achieved, the universality is good, various equipment simulators can be designed, the designed equipment simulators have open function expansion, and the system is suitable for popularization and application. And a complete project management process is provided.

The invention relates to the technical field of warehouse management, and particularly discloses a digital access management method and system, and the method comprises the steps: obtaining air data containing time information based on an air detection point, simulating the air data of other positions according to the air data, and obtaining an air data matrix containing the time information; the wind speed is obtained regularly based on the wind speed detection points, data of all the point locations in the air data matrix are recognized according to the wind speed, and the risk value of all the point locations is determined; determining a risk level of each entrance and exit according to the risk value, and executing a management process according to the risk level; the air data in the machine room are obtained according to the air detection equipment, the risk degree of each position in the machine room is determined according to the air data, then the management requirement of each entrance and exit is determined, different management standards are set for different work contents, and convenience and safety are balanced.

The invention relates to the technical field of GPU resource management, and discloses a GPU resource pool dynamic management system and method based on a container platform, a scheduling demand is obtained by analyzing a user resource request, and resource matching and scheduling decision making are performed based on the demand and a real-time cluster resource state. And issuing and executing a resource pool management instruction according to the decision, and finally aggregating operation results to synchronously update the cluster state. The method aims at solving the problems that in the prior art, a GPU resource pool management mode is rigid, a scheduling strategy is solidified, and heterogeneous resources are difficult to manage in a unified mode. The GPU resource pool can be dynamically created, updated or released as required by constructing a closed-loop management process which is driven by a strategy and from request analysis to state synchronization, so that unified abstraction and scheduling of heterogeneous GPU resources are realized, and the flexibility of resource management, the system response efficiency and the adaptability to diversified business scenes are remarkably improved.

The invention discloses a full-link monitoring and operation and maintenance management method for a point mall supply chain platform under a multi-cloud architecture, which can monitor full-link nodes of the supply chain platform in real time and provide a basis for optimizing resource configuration and improving system performance. The monitoring data is analyzed and processed through the star large model, and when the monitoring data of the system is found to be abnormal, an alarm notice can be sent out in time to remind operation and maintenance personnel to carry out fault processing, so that problems during use of a user are avoided. When it is monitored that some resources are low in long-term utilization rate and zombie applications may occur, an alarm notice is sent to remind operation and maintenance personnel to optimize resource allocation, and cost is saved. Stable operation of the point shopping mall supply chain platform is guaranteed, and user experience is improved. The stable platform operation and the timely fault processing can improve the system performance, optimize the operation cost, enhance the credibility and loyalty of the user to the platform, and promote the improvement of the activeness and retention rate of the user. According to the full-link monitoring and fault processing method under the multi-cloud architecture, unified management and monitoring of a plurality of cloud platforms can be realized, so that the management process is simplified, the management cost is reduced, and the flexibility and expandability of the whole system are improved.

The invention is suitable for the field of intelligent building construction, and provides an intelligent building monitoring management method and system for multi-service fusion, and the method comprises the steps: collecting multi-dimensional data in real time, and constructing a preparatory resource pool; generating a space state atlas by combining the building digital twin model; performing multi-objective optimization deduction based on the atlas to generate an elastic collaborative resource scheduling scheme; during execution, the self-reflection adjustment is triggered through real-time comparison; and finally arranging the effective mode into a standardized treatment process. The system comprises a multi-dimensional data acquisition module, a digital twinborn fusion analysis module, an elastic cooperative scheduling module, a self-reflection adjustment module and an efficiency analysis module. According to the invention, dynamic and elastic management under multi-service fusion is realized, and the building management efficiency and toughness are improved.

The invention discloses a belt pulley raw material traceability management method and system based on a block chain, and relates to the technical field of manufacturing industry supply chain management, and the method comprises the following steps: in the whole raw material traceability management process, extracting a time anchor and a sequence difference from a raw material warehousing stage to a raw material feeding stage, and recording the transfer nodes corresponding to the raw material batches, and generating a time sequence anchoring list corresponding to the mapping relationship between the parent batch and the child batch based on the time anchor and the sequence position difference. According to the method, time and inheritance synchronous locking of a raw material batch circulation process is realized through extraction of a time anchor and sequence position difference and construction of a father-child batch relay chain and an atomic token sequence, and continuous and consistent uplink data is ensured; through double-track chaining buffering and breathing type phase traction regulation and control, the batch identification phase difference is eliminated, chain segment splicing is adaptively converged, and the time sequence stability and credible integrity of traceability data are improved.

The embodiment of the invention discloses a linkage visualization method and device based on multi-source heterogeneous data and a medium, and relates to the technical field of visual analysis, and the method comprises the steps: obtaining a visual analysis demand of a user, determining a plurality of heterogeneous data sources according to the visual analysis demand, and determining a plurality of heterogeneous data sources based on the plurality of heterogeneous data sources, performing metadata extraction to determine a target metadata set; performing field association relationship identification on the target metadata set to determine field relationship matching information, so as to generate a dynamic data structure map corresponding to the target metadata set according to the field relationship matching information; and in response to a node triggering operation of a user front end, determining node associated information corresponding to a triggering node based on the dynamic data structure graph and the node triggering operation, so as to generate a penetrating analysis result in a visual interface, thereby solving the problem that in the analysis and management process of the multi-source heterogeneous data, the correlation between manual modeling and a service scene is relatively low, and the analysis efficiency is relatively high. And the problem that the business personnel cannot construct the complex table association relationship at a zero threshold exists.

The invention relates to the technical field of process management, in particular to an implementation method and system of a process item rule engine based on trusted data space, comprising item engine configuration and management, process configuration and management, service orchestration and process item rule engine use. The method has the beneficial effects that the problems of frequent fixed code modification, insufficient flexibility and high maintenance cost in traditional process management are solved by dynamically configuring the process, the item engine and the form. By establishing a matter-form-process-service orchestration decoupling mapping relation, providing a declarative rule configuration interface, supporting business personnel to autonomously adjust business rules, realizing dynamic assembly of service orchestration and the like, flexible triggering and execution of processes and services are realized, and the development and maintenance cost is reduced.

According to one embodiment, an information Handling System (IHS) includes a workspace orchestration service that is executed to manage deployment of workspaces on the IHS having computer-executable instructions to, for each of a plurality of workspaces instantiated on the IHS, communicate with the workspace to receive application parameters associated with an application configured in the workspace, and store the application parameters at a specified location. The instructions further identify at least one of the application parameters that is to be modified using an IHS management process, and communicate with the workspace to send information associated with the at least one application parameter to the workspace, wherein the workspace is executed to modify the application according to the at least one application parameter. The IHS management process accesses the one or more application parameters from the specified location; using an IHS management process.

The invention relates to the technical field of parameter management and control, in particular to an industrial production parameter intelligent management and control method which comprises the following steps: defining key parameter data of industrial production; decomposing the key parameter data into parameter elements through structured modeling, and determining risk levels of the parameter elements through a risk grading means; real-time parameter data for the parameter elements in the production process are collected in real time; comprehensively analyzing the collected real-time parameter data through a multi-dimensional evaluation model; through a hierarchical early warning mechanism and a closed-loop management process, numerical value abnormity between real-time parameter data and parameter elements is responded in time. Predicting the operation trend of the parameter elements through an artificial intelligence technology; and automatically adjusting the equipment parameters associated with the parameter elements through an intelligent self-optimization mechanism. According to the method, full-process digital closed-loop control of parameters is realized, the risk identification comprehensiveness and the parameter control precision are improved, manual intervention and quality loss are reduced, and the method is suitable for various industrial production scenes in which key parameters need to be accurately controlled.

The invention relates to the technical field of equipment asset management and operation and maintenance decision, and discloses a fluid measurement and control equipment full-life-cycle operation and maintenance management system based on multi-source data, and the system comprises the steps: distributing an operation and maintenance depreciation right initial limit for equipment; the method comprises the following steps of: acquiring the multi-source data reflecting the physical loss, the business value, the real-time operation efficiency and the operation stability of the equipment, determining the product of a plurality of factors based on the multi-source data, dynamically calculating the consumption rate of the ODR, and further driving the operation and maintenance decision according to the residual limit. The consumption cost of the value budget management process is adjusted by the business value, the operation efficiency and the stability risk in real time, and a quantitative bridge for connecting the physical world and the business decision is established, so that the operation and maintenance decision can be carried out based on a clear economic basis instead of a single physical threshold value; therefore, the asset management level and the decision-making quality are improved.

The invention discloses a method and a system for updating and managing data in a non-extranet environment based on local deployment, and relates to the technical field of local deployment data updating and management, and the method comprises the following steps: collecting to-be-updated data from a plurality of data sources, and storing the to-be-updated data in a temporary buffer area; reading the data in the buffer area for preprocessing and quality detection, and generating a data quality report; according to the data quality report, screening out to-be-updated high-quality data by using an artificial intelligence algorithm, and performing analysis to obtain an update suggestion report; formulating a data updating strategy and generating a data updating execution schedule according to the updating suggestion report; executing a data updating operation according to the data updating execution schedule, and recording updating information to the block chain at the same time; and performing deep verification on the updated data, storing the data to a local database after the verification is passed, and recording a result to the block chain to complete the whole data updating and management process.

The invention relates to the technical field of data processing, and particularly provides a whole-process data processing method, system and device for a business travel order, and a storage medium, and the method comprises the steps: generating a unique main Hash identifier of the business travel order, and uploading the unique main Hash identifier to a block chain network; for a plurality of business links in the life cycle of the business travel order, sequentially constructing sub-hash identifiers associated with the main hash identifier on a block chain network to form a main-sub-hash chain; wherein when each sub-hash identifier is constructed, the input data at least comprises the main hash identifier, the link data of the current service link and the sub-hash identifier generated by the adjacent previous service link, so that the sub-hash identifiers are nested and bound in sequence; and dynamically generating and synchronizing consumption details associated with the order based on the link data recorded in the main-sub hash chain. According to the invention, automation, refinement and compliance of the whole business travel management process under data driving are realized.

The invention discloses a warehouse operation and maintenance management system and method applied to intelligent manufacturing, and relates to the technical field of intelligent warehouse management, and the system comprises a data collection module, a data processing module, an inventory demand calculation module, an operation and maintenance strategy making module and a closed-loop execution optimization module. According to the invention, through the data acquisition module, comprehensive coverage and real-time acquisition of data of a demand end, a material end, an equipment end and a logistics end are realized, the data processing module processes the acquired multi-dimensional original data and eliminates abnormal values and noise, and the inventory demand calculation module uses an inventory threshold core algorithm and an inventory demand priority scoring algorithm to calculate the inventory demand. The inventory threshold and the priority score of each material are calculated, and then the inventory demand thermodynamic diagram is generated, so that the inventory state is more intuitive, the operation and maintenance strategy making module flexibly adjusts the warehousing replenishment rhythm and the material delivery sequence, efficient utilization of resources is realized, and the closed-loop execution optimization module ensures continuous optimization of the management process.

The system (108) in the present disclosure for service barring workflow is designed to automate and streamline the process of managing service barring actions in a telecommunications network It provides centralized control, efficient processing. and granular control over service restrictions by implementing a method (400) involving various nodes. Tracking Area Code (TAC) and Network administrators. The system (108) offers advantages such as enhanced operational efficiency. accurate enforcement of service barring rules. real-time monitoring. and reporting capabilities. It integrates with network elements and ensures compliance with regulatory requirements. With its flexible and scalable architecture, the system (108) enables administrators and users to efficiently handle service barring requests while maintaining a positive customer experience. Overall, the system (108) for service barring workflow optimizes the service management process. enhances security, and contributes to effective network control and customer satisfaction.

The present disclosure relates to the technical field of distributed storage, and discloses a distributed storage cluster data rescue method and device, the method comprising: when detecting that an exception occurs in a storage pool, stopping an OSD process related to the storage pool, determining a target version number before the exception occurs in an OSD running graph; suspending a service of a cluster management process, performing version rollback on the cluster management process, and rolling back the OSD running graph from an original version number to the target version number; restarting the service of the cluster management process, pulling up the version number of the OSD running graph through the cluster management process, and when the pulled-up version number represents the latest version in the distributed storage cluster, restarting the OSD process related to the storage pool and activating the storage pool to rescue data in the storage pool. In the method provided in the present disclosure, the preset database is rolled back and pulled up in version, so that the data in the storage pool can be recovered and rescued when the storage pool appears an exception, and the fault tolerance and stability of the system are increased.