182 results about "Management process" patented technology

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 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 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 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 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 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 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 application relates to the technical field of facility asset information management, and discloses a cable resource management method and system based on a Revit model, which comprises the following steps: in response to a cable path conflict position marked by a mobile terminal, three-dimensional data of a target area is extracted; path compliance judgment rules are established based on voxelization and taking into account a minimum bending radius of the cable; an alternative path is generated according to the rules and is pushed to the terminal for confirmation, and then Revit model parameters are automatically updated; finally, context data of the conflict event is used to train a conflict pattern recognition model to scan and prewarn potential risks in an unconstructed area. The application converts discrete on-site construction problems into structured data for system learning, changes a management process from post-repair to risk prediction based on actual experience, and realizes reconstruction of a digital model from static physical property records to a dynamic digital history.

The invention discloses an intelligent management system and method for rubber production, and the system comprises a system user interface, a business process management module, a yield calculation service center and a resource library, and the data output end of the system user interface is connected with the data input end of the business process management module. The data output end of the business process management module is connected with the data input end of the yield calculation service center, the data output end of the yield calculation service center is connected with the data input end of the system user interface, and the yield calculation service center comprises an incoming material management module, a discharging management module, a yield calculation module and a production progress management module. And the yield calculation module is in data connection with the resource library. The invention aims to reduce the dependence on a large amount of manpower, reduce the labor cost, simplify the management process and improve the production efficiency; through real-time automatic data acquisition, storage and analysis, a complete production data chain is established, and an enterprise is helped to carry out accurate monitoring and datamation management on each link from raw materials to finished products.

The application relates to the field of automobile production and manufacturing management, and discloses an automobile production process management method, system, terminal, medium and program, through establishing an automobile production process management framework, the whole automobile production process is sequentially executed according to the management framework, the automobile production process management framework can realize the transparency of the whole production process, an MES main production plan is prepared according to the automobile production process management framework, production scheduling is determined, a production plan is established, scheduling is carried out according to the production plan, the management process can be effectively followed up in time, a business process is designed according to the production scheduling, workshop execution data, procurement management data and warehouse management data are sequentially acquired at a business function layer, and the workshop execution data, the procurement management data and the warehouse management data are stored into an automobile production process management database, automobile production process management work is completed, information interaction in automobile production process management is ensured, and the control over the whole process information is improved.

The invention provides an organization construction work digital auxiliary management method, computer equipment and a storage medium, and the method comprises the steps: carrying out the recognition and linking of group member entities through employing an entity recognition technology on the basis of a group member information data set, associating the group member entities with the attribute information through a knowledge graph construction technology, and obtaining a group member information data set; forming a group member 360-degree panoramic view knowledge base; making corresponding group member management decision rules according to the group member group portraits in combination with business scenes such as group member development, educational management, assessment and evaluation, and forming a group member management decision rule base; in the group member management process, the group member group portrait and the decision rule are presented in the forms of charts, reports and the like through a data visualization technology, an organization is assisted in performing group member development, education management, assessment and evaluation and the like, and the pertinence and effectiveness of organization construction work are improved.

The invention provides an enterprise management process intelligent optimization system and method based on a knowledge graph, and the method comprises the steps: mapping an entity dependency relationship between graph structure nodes in an enterprise management process into the knowledge graph, and generating a process knowledge graph of enterprise management; determining time sequence influence characteristics of content update in the process knowledge graph through the dynamic attenuation factor of each management process sub-graph; calculating the data variation amplitude and the information entropy weight of each graph structure node, and further performing amplitude weighting on each data variation amplitude according to each information entropy weight to obtain the structure saliency of each management process sub-graph; and determining an aging evaluation index of each graph structure node according to the time sequence influence characteristics and each structure saliency, and carrying out batch updating on the enterprise management process based on each aging evaluation index. Based on the scheme, fusion updating of data value and data timeliness in enterprise process management can be realized, so that the execution efficiency of an enterprise business process can be improved.

The invention belongs to the field of aircraft data management process construction technology management, and relates to a module-based aircraft simplified configuration management method. The method comprises the following steps: creating an engineering change suggestion ECP for a configuration file in an aircraft configuration management platform ACME; calling an LCA interface to carry out number changing or version raising operation on a configuration file in the LCA; generating a change instruction ECO according to the engineering change suggestion ECP; calling an LCA interface to carry out data change on a configuration file in a lifecycle management system LCA; and checking the change execution conditions of the ECP and the configuration file in the LCA, and if the ECP and the configuration file in the LCA are consistent, importing the data in the LCA into an aircraft configuration management platform ACME for checking and signing a change instruction ECO. According to the method, the technical state management and control cost and difficulty are reduced, the engineering change in the trial-manufacturing process is completely controlled, and the engineering change efficiency is improved.

The invention relates to the technical field of industrial control, in particular to an intelligent production management process method for thick plate laser cutting in the steel processing industry. The intelligent control system automatically receives and decrypts encrypted production order information of the MES system, contour scanning and automatic verification are conducted on raw material steel plates through a 3D camera, then full-automatic typesetting is conducted based on an intelligent layout algorithm with the core of guaranteeing that finished products fall into the optimal physical and chemical performance interval of raw materials, and finally a cutting program is generated to drive equipment work. And the processing actual performance data is fed back in a closed-loop manner. The method effectively solves the problems that in traditional thick plate machining operation, the intelligent level is low, efficiency is low due to dependence on manual operation, cost is high, and quality consistency is difficult to guarantee. Seamless connection from order placing to completion and reporting is achieved, the production efficiency and the digital level are remarkably improved, feeding errors are effectively eradicated, the typesetting quality is optimized, and the labor cost and the error rate are reduced.

The invention discloses a turnout switch machine operation management method and system based on the equipment health state. The method comprises the following steps: a data acquisition module acquires multi-dimensional operation data of a turnout switch machine; the data processing and health state evaluation module receives the multi-dimensional operation data reported by the data acquisition module and evaluates the health index of the turnout switch machine; and the operation decision and execution module obtains the health index fed back by the data processing and health state evaluation module, determines a corresponding maintenance strategy, creates and distributes a corresponding maintenance work order when maintenance operation needs to be carried out, and supervises the execution process of the maintenance work order. According to the method, the health state of the turnout switch machine can be comprehensively evaluated, and the whole operation management process is automatically and intelligently driven based on the state.

The embodiment of the invention provides a network data tag identifier management method, system and device, a medium and a program product, and relates to the technical field of data management. The method comprises the following steps: generating a network data label identifier associated with a data object; carrying out association binding on the network data label identifier and the data object; identifying the data object to read a network data tag identifier associated with the data object; verifying the read network data label identifier associated with the data object; unassociating the network data label identifier with the data object; and monitoring and managing the whole life cycle flow identified by the network data label. According to the embodiment of the application, the systematicness, the automation level and the management and control efficiency of data management can be remarkably improved by specifying the full-life-cycle management process of the network data tag identifier, and the labor cost and the operation risk are reduced, so that the comprehensiveness and the reliability of data tag management are effectively improved.

The invention belongs to the technical field of data management, and discloses an Internet of Things data management method, terminal and system, and the method comprises the steps: receiving a device configuration instruction which is issued through a Web service interface built in the terminal and comprises a device identifier and a communication protocol, so as to create a device instance; receiving a data point configuration instruction containing a data point identifier and a protocol address to establish a data point mapping relationship; and receiving an uplink channel configuration instruction to determine a data pushing target. And the terminal automatically polls the physical device to collect original data according to the configuration, associates the original data with the data point identifier and performs localized storage, and finally pushes the associated data to an upper application system according to the uplink channel configuration. According to the invention, the low-code configuration service and the automatic data management process are integrated in the integrated terminal, so that a user can complete the whole-process configuration of equipment access, data acquisition, processing and uploading without programming, and the deployment threshold and complexity of an Internet of Things system are reduced.

The application discloses a financial institution customer value stratified management system and method based on big data, and particularly relates to the field of financial customer management, and is used for solving the problems of static stratification results, difficulty in reflecting structural correlation between customers and multi-period behavior changes in the existing customer value grading management process. The application maps network structure risks to the customer level to obtain customer network value gains by constructing a customer correlation network with time sequence weights between customers, identifying customer potential communities and evaluating community structure vulnerability. Meanwhile, the application decomposes the trend of multi-period transaction behavior of customers and constructs an behavior stability index. On this basis, a two-dimensional customer value stratification matrix is constructed to realize dynamic stratification of customer value, and targeted management strategies are generated according to the historical management benefits of adjacent stratified customer groups, so as to improve the accuracy of customer value identification and the scientificity of management decisions of the financial institution.

The invention discloses a line loss correlation treatment method based on digital twinning, and relates to the technical field of power management, and the method comprises the steps: carrying out the actual measurement of electric data and double-field coupling reconstruction of a target power grid region, enabling the target power grid region to serve as a power grid twinning body, and carrying out the data interaction between the power grid twinning body and a line loss analyzer, and transmitting a data layer updated in real time in the twin of the power grid to a line loss analyzer, executing a line loss association treatment logic decision and inverse data interaction verification, outputting a line loss treatment instruction, and performing line loss treatment management and control on the target power grid region according to the line loss treatment instruction. The method and the device are used for solving the problems of low automation degree and accuracy of a treatment process in a power grid fluctuation scene in the prior art, and the technical problems of insufficient response efficiency from analysis to execution and difficulty in adapting to power grid dynamic operation and accurate management requirements of power grid line loss, and can remarkably improve the line loss treatment efficiency and effect and reduce the power grid energy consumption.

The invention discloses an intelligent management method and system based on hospital infection environment monitoring, and relates to the technical field of intelligent management systems. The method comprises the following steps: constructing a digital twinborn model integrating building information, a heating ventilation air conditioner, a multi-source sensor and personnel positioning data; based on the model, constructing a dynamic weighted space-time atlas which takes a functional region as a node and takes a potential propagation path as an edge; predicting a future infection risk index based on the atlas in a rolling manner by adopting a space-time diagram neural network model; when the risk exceeds a threshold value or a case report exists, a causal inference-based module is activated, and an infection source and a propagation path are accurately traced; and finally, generating an optimal intervention strategy suggestion according to prediction and traceability results by using a reinforcement learning model. According to the invention, by constructing a closed-loop management process, the problems of monitoring data isolation, early warning lagging, tracing difficulty and the like in the prior art are solved, the conversion from passive response to active prediction is realized, and the global risk perception, accurate tracing and intelligent decision-making capabilities are improved.

The invention discloses a multi-mode dynamic task allocation method and system for public accumulation fund compliance approval, and relates to the technical field of public accumulation fund compliance approval. The method comprises the following steps: an operator management process: maintaining operator information, setting service skill authority and performing on-duty state monitoring; a task label generation process: after a client submits an application, automatically generating an examination and approval task, printing multi-dimensional labels including policy risks, fund amounts and business types on the examination and approval task based on a public accumulation fund policy model, and then entering a central scheduling queue; the task allocation process comprises three modes of supervisory manual order dispatching, constrained active order grabbing and strategic automatic order dispatching. According to the multi-mode dynamic task allocation method and system for compliance examination and approval of the accumulation fund, the multi-mode intelligent collaborative dynamic task allocation system is constructed, and the fund safety and compliance examination and approval are fundamentally guaranteed while the efficiency is improved.

The described techniques address problems related to the compatibility and cost-efficiency of onboard networks. For example, they can utilize Ethernet-based security protocols without the need to exchange separate key agreement messages, thus meeting the stringent startup time requirements for real-time control systems. Additionally, a membership tracking solution can be implemented, allowing each node within a membership group to request or "challenge" other nodes in the same group to verify their online status, and this online status can be maintained over time. Finally, a transmission queue management process is described that deletes pending messages only after it has been determined that every intended receiver node has received the message, thereby providing atomicity.Held messages can then be retransmitted according to a transmission schedule.

This invention discloses a line loss correlation management method based on digital twins, relating to the field of power management technology. The method includes: performing electrical data measurement and dual-field coupling reconstruction on a target power grid area to create a power grid twin; transmitting the real-time updated data layer from the power grid twin to the line loss analyzer through data interaction between the power grid twin and the line loss analyzer; executing line loss correlation management logic decisions and inverse data interaction verification; outputting line loss management instructions; and performing line loss management control on the target power grid area according to the line loss management instructions. This method addresses the problems of low automation and accuracy of the management process in power grid fluctuation scenarios in existing technologies, insufficient response efficiency from analysis to execution, and difficulty in adapting to the dynamic operation of the power grid and the precise management needs of power grid line losses. It can significantly improve the efficiency and effectiveness of line loss management and reduce power grid energy consumption.

The invention provides a work order processing method and device, electronic equipment and a storage medium, and relates to the technical field of data processing, and the method comprises the steps: obtaining work order data of a target work order, task description data and candidate executors; identifying the task description data by using a preset identification model, and determining work order scene features of the target work order, the work order scene features being used for describing features of a task scene corresponding to the target work order; and selecting a target pushing path based on the work order scene features and the current state of the candidate executor, and pushing a target work order to the executor through the target pushing path. Through adoption of the work order processing method and device, the electronic equipment and the storage medium, the communication cost in the hotel service management process is reduced, and the communication timeliness is improved.

The invention discloses a cargo allocation management method and system of an intelligent warehouse and a storage medium thereof, and relates to the field of intelligent warehouse management, and the method comprises the steps: firstly receiving and synchronizing order data of multiple sales terminals; then, dynamically sorting the orders through a configurable intelligent cargo allocation rule engine, generating a priority processing sequence, and generating an electronic cargo picking list of an optimal cargo picking path based on the locked inventory; in a cargo allocation execution stage, the system provides navigation guidance through a warehouse operation terminal, monitors an operation state in real time, triggers a preset automatic processing flow once detecting out-of-stock, wrong picking or order information change and other abnormalities, and constructs an automatic collaborative notification network running through order, inventory, cargo allocation and financial links at the same time. According to the invention, traditional warehouse operation depending on artificial experience and communication is converted into an intelligent closed-loop management process driven by rules and data, the multi-role cooperation efficiency, the inventory accuracy and the order processing timeliness are significantly improved, and the operation cost and risk are reduced.

The invention belongs to the field of power station boiler accident risk prevention and control management, and particularly relates to a power station boiler digital integrity management system and a management efficiency evaluation method. The system comprises an enterprise data center module, a boiler data center module, a pressure-bearing component risk evaluation module, a pressure-bearing component integrity evaluation module, a maintenance and decision module, an emergency management module, a safety knowledge base module, an efficiency evaluation module and a large screen display module, and the modules realize data dynamic closed-loop interaction through data ports. According to the management efficiency evaluation method, a power station boiler integrity management efficiency evaluation index system is constructed from two aspects of an integrity management process and a management effect, and a management process score is obtained by adopting a queuing theory method; obtaining a management effect score by using a data envelope analysis method; and on the basis, a result compensation coefficient is introduced to calculate a final comprehensive management efficiency score, so that the comprehensive, objective and reasonable evaluation effect is ensured.

The embodiment of the invention provides a warehouse management method, and the method comprises the steps: obtaining label data collected by a triggering operation from an adaptive data channel in response to the triggering operation of radio frequency identification equipment in a target warehouse; then determining a product identification code indicated by the label data, and configuring a target task based on cargo information indicated by the product identification code; the target task is input into the task queue, an inventory management process corresponding to the target warehouse is executed based on the execution parameters corresponding to the task queue, and the inventory management process is used for updating cargo information corresponding to the target warehouse. Therefore, the batch management process of the radio frequency identification devices of different specifications is realized, the data channel is established by dynamically matching the cargo owner code and the communication protocol, the complex interface adaptation process is avoided, batch execution is performed through the task queue, the data requirements of the radio frequency identification devices of different models can be concurrently processed, and the management efficiency is improved. Therefore, the updating efficiency of the cargo information in the warehouse management process is improved.

The invention discloses an air ticket order full life cycle management system based on data fusion analysis, belongs to the technical field of air ticket order management, and integrates multi-source heterogeneous ticket data through a data fusion analysis technology, eliminates data output differences, and improves the management efficiency. Differentiated data is set corresponding to each OTA platform based on a rule engine, pre-stored and directionally released, a subsequent order period management process is optimized, a data acquisition link is greatly shortened, data acquisition time is greatly shortened, query response of a user side is ensured, and after an order is created, through real-time interaction with a ticket business data source, the order management efficiency is improved. The transaction accuracy of order verification and ticket payment is ensured, and the consistency of internal and external data is ensured based on a state synchronization tracking updating mechanism, so that the industry pain points of scattered supply end data, low efficiency of a circulation link and faulted transaction experience in aviation ticket business ecology are effectively solved; and constructing a standardized data link and an automatic transaction closed loop between the shipper / agent and the OTA platform.

The application discloses a kind of predictive maintenance management systems and methods for environmental sanitation equipment, belong to predictive maintenance management technical field.The system includes data acquisition layer, business logic layer, application layer, the business logic layer is separately connected with data acquisition layer, application layer communication.The data acquisition layer is used to collect the running data of environmental sanitation equipment in the car end;Business logic layer includes life prediction engine, maintenance process engine, inventory linkage engine and cost analysis engine;For processing the data imported by data acquisition layer;Application layer is as the interactive entrance of system and user.The application solves the problems existing in the maintenance management system of existing environmental sanitation equipment, such as unscientific maintenance strategy, low efficiency of management process and lack of decision support capability, and builds a closed-loop, intelligent maintenance management ecosystem.