488 results about "Effective management" patented technology

Embodiments described herein provide for a healthcare ecosystem of computing devices participating as nodes of a distributed ledger (e.g., blockchain). The distributed ledger includes NFTs representing corresponding patients, where the initial NET behaves logically as a token scaffold that represents a “digital twin” of the particular patient. The initial patient token represents personal profile data of patient personal data for the patient. The nodes may generate new data and / or new sub-tokens (or other blockchain entry type) representing new data, which the nodes associate with the token scaffold. The sub-tokens contain data for representing physical or digital specimens, health data, and data derived from the health data (e.g., cell lines, organoids, other model systems). As the nodes generate and associate new sub-tokens to the patient's token scaffold over time, the token scaffold graphs and facilitates integration of patient-specific data and evolves into a robust electronic health record (EHR) and digital twin.

The invention relates to the technical field of data analysis, in particular to an intelligent hydrological data analysis method and system, and the method comprises the following steps: collecting water level, flow velocity and precipitation data, calculating the change rate of adjacent moments, marking hydrological parameter abrupt change points, carrying out the statistics of time intervals, predicting the duration of extreme events, and obtaining the distribution characteristics of the hydrological abrupt change points. According to the method, by analyzing the time interval and the duration time of the data points, the distribution characteristics of hydrological abrupt change can be mastered in the early stage, response can be made in advance, the propagation sequence and the diffusion rate of the abrupt change points in different river reaches can be analyzed, and accurate division of the influence range and the risk level of hydrological events is enhanced; effective management of hydrological event space risks is achieved, understanding of hydrological key influence factors is deepened by screening key variables and evaluating the evolution relation of the variables along with time, accuracy of short-term and long-term hydrological risk prediction is enhanced, and a scientific basis is provided for dynamic early warning of hydrological abnormal events.

The invention relates to the technical field of cloud computing application, and discloses a cloud computing-based shale fracture modeling platform, which comprises a multi-source data acquisition module, a heterogeneous data fusion module, a fracture dynamic modeling module, a parameter optimization module and a cloud verification module. The multi-source data acquisition module acquires various data and uploads the data to the cloud; the heterogeneous data fusion module processes data isomerism to generate a fusion feature matrix; the crack dynamic modeling module constructs a three-dimensional dynamic model; the parameter optimization module optimizes physical property parameters; and the cloud verification module verifies the model in multiple dimensions and manages the version. The platform solves the problems of traditional modeling in the aspects of data acquisition, fusion, modeling algorithm, parameter optimization and model verification by means of the advantages of cloud computing, can efficiently process multi-source data, accurately construct a crack model, improve the precision and reliability of the model, realize comprehensive verification and effective management of the model, and provide powerful support for efficient exploitation of shale gas.

The invention relates to the technical field of equipment access control, can be applied to business scenes of financial science and technology, medical health and the like, and discloses a multi-user access control method and device of equipment, the equipment and a medium, and the method comprises the following steps: receiving a scanning result containing an equipment identity code and operator identification information; generating a verification token based on a scanning result, embedding a time efficiency parameter, distributing the verification token to a user terminal, receiving user characteristic data, establishing a binding relationship with the equipment identity code and the operator identification information, carrying out time efficiency and integrity verification, generating a verification result, and controlling the equipment access authority and generating an operation record according to the verification result. Through a binding mechanism among the equipment identity code, the operator identification information and the user characteristic data, and in combination with the verification token embedded with the aging control parameter, effective management and control of the operation access behavior under the scene that multiple persons use the same equipment at the same time are realized.

The invention relates to the technical field of data processing and big data, in particular to a new-generation fruit juice production line automatic control and information management system, which comprises a control module, a data acquisition module, a data analysis processing module and a man-machine interaction module, the analysis module processes data through the steps of cleaning, standardization and the like, short-term and long-term dynamic threshold values are set according to a sliding window technology, early warning is triggered through real-time comparison, the control module adjusts equipment according to the early warning, and the man-machine interaction module is used for management personnel to operate and check information; the objective of the invention is to solve the problems that fruit juice production line equipment control is not intelligent, production data cannot be effectively managed and product quality is difficult to monitor and early warn in time.

Disclosed are systems and methods for effectively managing user access rights, including processing and revalidating user access requests. A computer-implemented method determines an entitlement risk score, a user risk score, and an overall risk score associated with a user access request based on criticality models and metadata. Based on the overall risk score, a criticality level is assigned to the user access request, and the computer-implemented method processes the user access request. The user access request is either automatically or manually processed based on the assigned criticality level. A plurality of user access requests requiring manual processing are processed based on an external input, and the plurality of user access requests are prioritized based on their respective assigned criticality levels and processing histories.

The invention discloses a multi-source threat intelligence privacy fusion processing method and system, and relates to the technical field of network security threat intelligence analysis and processing, and the method comprises the steps: collecting threat intelligence, and carrying out the cleaning, standardization and desensitization; establishing a threat index semantic model and aligning cross-modal features; the central coordination module completes model aggregation after organization node local training; and based on the aggregation model fusion intelligence, semantic association and attack link reconstruction are established, and a result is generated and fed back for optimization. The technical problems that in cross-organization fusion processing of multi-source heterogeneous threat intelligence, data formats are not uniform, and privacy protection and intelligence collaborative analysis contradictions exist, so that threat detection is not comprehensive and inaccurate, and accurate evaluation and effective management and control requirements are difficult to meet are solved. The technical effects that the multi-source heterogeneous threat intelligence is effectively fused on the premise of privacy protection, the comprehensiveness and accuracy of threat detection are improved, and the requirements for accurate assessment and effective management and control of threats in a cross-organization scene are met are achieved.

The invention discloses an Internet of Things equipment power consumption management method and system based on big data, and relates to the technical field of equipment power consumption management. The Internet of Things equipment power consumption management method and system based on big data specifically comprises the following steps: S1, equipment classification; s2, power consumption evaluation and modeling; s3, implementing a dormancy awakening strategy; s4, strategy design and dynamic adjustment; through careful classification of the data center server and the Internet of Things equipment, power consumption characteristics of various types of equipment can be more accurately understood and managed. And secondly, through power consumption evaluation and modeling, an accurate power consumption model is established, and a power consumption threshold value is set, so that real-time monitoring and effective management of power consumption are realized. In addition, the implementation of the sleep wake-up strategy avoids invalid sleep of the Internet of Things equipment, and improves the energy utilization efficiency. The dynamic adjustment strategy not only realizes load balancing, but also dynamically adjusts the power consumption according to the task priority and the load condition, so that the overall power consumption is further reduced.

The invention belongs to the technical field of block chains and federated learning, and particularly discloses a dynamic incentive federated learning method based on a trusted execution environment and a block chain. The method comprises the following steps: firstly, constructing a core computing security area by utilizing TEE, and executing key links such as model aggregation, client screening and contribution measurement in a hardware isolated trusted environment; and then, a block chain and an intelligent contract technology are adopted as a decentralized trust root to realize effective management of identities of participants, tamper-proof records of key certificates and automatic distribution of economic incentives. Secondly, establishing a set of dynamic excitation and reputation mechanism executed in the TEE, and performing credible quantification and automatic reward on the contribution of the client based on multi-dimensional indexes such as model quality, historical reputation, asset pledge, participation stability and the like; and finally, end-to-end data encryption is realized through a session key mechanism in the TEE, so that the data privacy of the client is effectively protected.

The invention discloses an active management and control method and device for high-risk operation, electronic equipment and a storage medium. The method comprises the following steps: enabling operators related to high-risk operation to carry out operation according to related requirements of construction safeguard measures and risk processing plans in a mode of automatically acquiring videos or images and an active management mode, and carrying out biological feature recognition and identity recognition on the operators so as to ensure that the operators can carry out risk processing according to the related requirements of the construction safeguard measures and the risk processing plans; the system can more intuitively assist enterprise safety management personnel to comprehensively master the safety condition of a working site, form an effective management means, supervise and urge management and execution personnel at all levels to consciously practice three-notice management, namely the management principle of site, notice and reality, and actively go deep into the site, so that the safety management efficiency is improved to the greatest extent, and the safety management efficiency is improved. The safety of a high-risk operation site and the periphery is strictly ensured, the effectiveness of safety management is improved, and a better operation environment is provided for operators.

The invention provides a task scheduling execution method and system based on a hybrid computing environment. The task scheduling execution method comprises the steps of receiving a task, performing task type division and quantum coding on the task to form quantum coding information for representing the task, and determining an initial quantum state of the task; evaluating the quantum enhancement priority of the task based on the quantum coding information, and converting a quantum enhancement priority evaluation result of the task into task priority information for a classical task scheduling execution method; and scheduling and executing the task based on the task priority information. According to the method, the dual advantages of fusion quantum computing and classical computing are utilized, effective management of complex tasks is achieved, the isomerized computing environment and task requirements are met, the problem of low-efficiency transfer caused by insufficient integration in the current hybrid computing environment is solved, and the efficiency is improved. And the comprehensive performance, the resource use efficiency and the task scheduling capability of the hybrid computing environment are effectively improved.

According to the Linux real-time enhancement method based on the domestic real-time kernel, by introducing a kernel adaptation layer and designing a packaging mechanism of the kernel adaptation layer, it is ensured that code space between the real-time kernel and the Linux kernel is effectively isolated, the code coupling degree is reduced, the kernel and the Linux kernel can harmoniously coexist in the same environment and do not interfere with each other, and the real-time performance of the Linux kernel is improved. The real-time task can be called by a non-real-time system and inherits the existing functions and services of the Linux, so that the ecological advantages of the Linux are brought into full play, effective management of hardware and memory resources is ensured through flexible and diversified resource allocation and sharing strategies, and the problems of resource contention and performance reduction are reduced.

The invention relates to the technical field of power systems, and discloses a management and control system for effectively managing and controlling distributed power supply loads based on power grid automation equipment. The system comprises an acquisition module for acquiring dynamic load parameters of a distributed power supply and topological information of a target power grid; the division module extracts load sudden change characteristics and divides the power grid into coordinated regulation and control partitions in combination with topological information; the injection module injects a preset disturbance signal to a time delay sensitive area node in the partition to obtain voltage offset distribution; the positioning module is used for positioning electrical weak nodes according to the oscillation attenuation rate of the electrical nodes and topological connection distribution; a verification module performs gridding ratio verification on the weak nodes and the coordination regulation and control partition to obtain a dynamic boundary constraint condition; an output module reconstructs a distributed power supply power output priority instruction based on the condition. According to the invention, the problems of lagging response and insufficient precision of power grid management and control under large-scale access of the distributed power supply are solved.

The invention relates to the technical field of industrial process control, and discloses a digital twinning-based fermentation process temperature adaptive control system, which comprises a data acquisition and state representation module, a probability generation type digital twinning module, an adaptive risk management module, an opportunity constraint model prediction control module and a model iteration trigger module, according to the method, probability distribution of future states is predicted by constructing probability generation type digital twinning, and the uncertainty of the model is quantified in real time; the system can dynamically adjust the risk tolerance, drives the chance constraint model prediction controller, seeks an optimal control solution on the premise of ensuring the process safety probability, triggers the model adaptive update by means of an online evaluation mechanism, and realizes the optimal control solution on the basis of effectively managing the process uncertainty. The fermentation temperature is subjected to high-performance self-adaptive control considering safety and economy, and the problem that a traditional deterministic model is insufficient in control robustness is solved.

The invention discloses a BIM construction progress dynamic tracking method based on multi-modal data fusion, and the method comprises the steps: obtaining BIM data, component progress data and visual data of each building component in a construction region in real time, and carrying out the unified space-time reference and data cleaning processing of the component progress data and the visual data; performing feature extraction on the processed data and the BIM data to obtain a standardized spatial-temporal feature data set, constructing a construction process digital twin map according to the data set, performing spatial-temporal convolutional network processing to obtain a component construction progress state reasoning result of each building component, setting a threshold value, and obtaining a construction progress state reasoning result of each building component; and comparing the construction progress state reasoning result to obtain a component risk assessment result, taking measures according to the risk assessment result, executing the measures, and simultaneously obtaining the executed multi-modal data to update the digital twin map. According to the invention, through multi-modal data fusion, dynamic tracking and effective management of the construction progress are realized, the construction risk can be found and processed in time, and the construction management efficiency and accuracy are improved.

The invention discloses an LCD display screen production quality collaborative management and control method based on a detection data chain, particularly relates to the technical field of industrial production quality management, and is used for solving the problem of quality root cause misjudgment caused by complex association of multi-source data in the existing liquid crystal display screen manufacturing process. The method comprises the following steps of: constructing a detection data chain covering an array, a box forming process and a module process, firstly performing multi-source data correlation analysis to obtain a variable pair set, then analyzing an intermediary influence path between variable pairs to eliminate false correlation, and then determining a real causal direction by applying a causal discovery algorithm based on conditional independence. Carrying out unsupervised clustering analysis on the basis of defect characteristic indexes, verifying the consistency of causal directions in different data subsets, and finally outputting a stable quality root cause analysis result to realize accurate positioning and effective management and control of key process parameters.

The invention discloses a tea tree germplasm resource garden management method, which adopts a tea tree germplasm resource garden management system consisting of a data storage module, a data processing module, a system operation module, a system display module and an external port module. Through overall plane data and block distribution data of a tea tree germplasm resource garden, meteorological station and soil moisture content information data, basic information data of tea tree germplasm resources entering the garden, germplasm resource agronomic characteristic original data and data processing, agronomic character mean values of vigorous tea tree germplasm resource states in the fourth, fifth and sixth years are converted into standard values; and comparing agronomic character data of the seventh year with a standard value, carrying out fixed-period tea tree data acquisition, and combining a scientific management mode of resource nursery soil and climate factors to realize effective management of dynamic growth of resources of the resource nursery.

The invention relates to the technical field of network security equipment, and discloses a network security equipment adaptive optimization method based on rule analysis, which comprises the following steps: acquiring a historical feedback behavior mode of network security equipment, and dividing the historical feedback behavior mode into a historical security feedback behavior mode and a historical abnormal feedback behavior mode; determining a security feedback rule data set and an exception feedback rule data set, calculating an initial historical security processing factor and an initial historical exception processing factor, performing normalization processing, constructing an initial processing factor set, splitting the initial processing factor set into a first initial processing factor set and a second initial processing factor set, calculating a historical security event processing coefficient, and calculating a second historical security event processing coefficient; the historical security event processing coefficient of each network security device is extracted, the multiple network security devices are adaptively optimized, the network security devices with poor protection effects are removed, effective management and coordination are realized, the protection function of each network security device is fully played, the efficiency and effect of network security protection are improved, and the network security protection method is suitable for the network security devices. And safe and stable operation of a network system is ensured.

The invention relates to the technical field of servers, and discloses a conflict processing method and device. The method comprises the following steps: acquiring a state value of a first register from a bus state management chip under the condition that a first computing node determines that an access request needs to be sent to a bus arbitration chip; when the access request is a super control right access request and the state value of the first register is a second state value, a control request is sent to a bus state management chip, and the control request is used for requesting to use a bus super control right; and after the state value of the first register is updated to the first state value from the second state value and the state value of a second register corresponding to the first computing node is updated to the first state value, sending the access request to a bus arbitration chip. Therefore, effective management of the bus control authority is realized, and access conflicts are avoided.

The invention discloses a power transmission line mechanical construction ecological environment influence assessment method and system. The method comprises the following steps: acquiring basic data and construction parameters of a power transmission line mechanical construction area; constructing an ecological environment influence prediction model, and identifying the basic data and the construction parameters based on the ecological environment influence prediction model to obtain ecological environment influence factors; identifying each ecological environment impact factor through an impact quantitative evaluation model to obtain an ecological environment impact score of each ecological environment impact factor, and identifying the ecological environment impact score of each ecological environment impact factor according to a comprehensive evaluation model to obtain an overall impact rating; and recording the overall influence rating and notifying a manager, and taking corresponding treatment measures for mechanical construction according to the overall influence rating. According to the invention, dynamic evaluation, accurate prediction and effective management and control of the influence of the ecological environment in the construction process are realized, and the evaluation accuracy of the influence of mechanical construction on the ecological environment is improved.

The invention provides a project risk dynamic prediction method and device, electronic equipment and a storage medium, and the method comprises the steps: collecting multi-dimensional original data in a whole life cycle of a target project, carrying out the preprocessing of the multi-dimensional original data to generate a standardized data set, building a case decision model based on the standardized data set, and carrying out the prediction of a project risk. And inputting real-time project data into the case decision model to obtain a prediction result, finally performing risk assessment according to the prediction result, and triggering early warning when the risk assessment result exceeds a risk threshold value, so that the problems of poor data quality and low risk caused by the fact that only single-dimensional data collection can be realized and data lacks standardized processing in the prior art can be solved. The problems of low project risk prediction precision and early warning lagging caused by a static evaluation mode are solved, and the technical effects of improving project risk prediction accuracy and realizing project full life cycle risk management real-time performance and effectiveness are achieved.

The invention discloses an energy equipment control method and system based on a multi-terminal energy router and a medium, and relates to the field of expressways, and the method comprises the steps: collecting the real-time operation data, monitored by the multi-terminal energy router, of multi-terminal energy equipment along the expressway; based on the real-time operation data, constructing an energy network model of multi-terminal energy equipment along the highway; based on the energy network model, analyzing a supply-demand relationship of multi-terminal energy equipment along the highway, and determining an energy scheduling scheme; and based on the energy scheduling scheme, the multi-terminal energy equipment is scheduled through the multi-terminal energy router, and the energy scheduling scheme is dynamically adjusted according to the real-time monitoring result so as to optimize the transmission path and the flow direction of the energy in different scenes. The method can adapt to the dynamic change of the energy demand along the expressway, achieves the optimal scheduling and effective management of the multi-terminal energy equipment, and improves the energy utilization rate.

The invention relates to the field of task processing, and particularly discloses a distributed fusion sensing task management method, device and system. The method comprises the following steps: acquiring node report data of a plurality of management nodes; wherein the node report data is used for representing computing power resource data and task state data of a plurality of computing power nodes managed by the management node; determining the node state of each management node according to the computing power resource data and the task state data of the plurality of computing power nodes managed by each management node; determining the management node of which the node state is in the first state as a first management node, and determining the management node of which the node state is in the second state as a second management node; and sending the first task management instruction to the first management node, and sending the second task management instruction to the second management node. According to the mode, the current node state of each management node can be dynamically determined, so that tasks are reasonably distributed, and effective management of a large number of computing power nodes is realized.

The invention relates to the technical field of solid state disks, in particular to a data guarantee method and device for an open-state physical block, equipment and a storage medium. Comprising the following steps: determining a detection period of an open-state physical block based on NAND physical attribute parameters of the physical block; when the physical block is in the open state, recording an initial timestamp corresponding to the opening moment of the physical block and triggering a detection process; if the detection process is in the detection period, obtaining a current timestamp, and calculating a time difference between the current timestamp and the initial timestamp to obtain the opening duration of the physical block; calculating theoretical filling time according to the number of filled physical pages in the physical block and the detection period; and if the opening duration is greater than the theoretical filling time, writing virtual data into the to-be-filled physical page, otherwise, waiting for a next detection period to execute detection. According to the method, the limitation of fixed period operation is avoided, effective management of open physical block data is realized, and the use efficiency and reliability of the solid state disk are improved.

The invention is suitable for the field of financial engineering, and provides a data analysis model-based unhealthy asset package valuation method and system, and the system comprises a comprehensive data collection module, a cost income analysis module, a decline trend analysis module, an asset present value analysis module, an expected value adjustment module, a potential risk identification module, and a result generation module. According to the method, the decline and disposal stages are analyzed through the life cycle, the future expected value can be adjusted in time, the asset depreciation trend is reflected, and the risk is reduced. By flexibly constructing the discount cash flow model, the discount rate can be adjusted according to market conditions, and a more accurate asset present value is provided. Finally, according to the method, evaluation results of all stages are integrated, a comprehensive asset package evaluation value report is generated, an effective management strategy is provided, and the practicability and perspectiveness of the report are enhanced. Due to the characteristics, the evaluation accuracy and decision support capability of asset life cycle analysis in the non-performing asset management are remarkably improved.

The invention relates to the technical field of medical material intelligent house management, in particular to a medical material intelligent house management method, device and system, and the method comprises the steps: obtaining first receiving data and second stock data of each medical material in a previous time window, and combining the first receiving data for analysis; calculating a comprehensive medical material priority of each medical material; calculating a first medical material replenishment coefficient by integrating the medical material priority and the second inventory data, and obtaining the replenishment amount of the next time window based on the replenishment coefficient, thereby realizing effective management of the medical material replenishment amount; according to the relevance between the medical materials, the first medical material relevance coefficient is constructed, the second relevant medical material replenishment amount is obtained, and effective management of the relevant material replenishment amount can be achieved. According to the invention, dynamic replenishment management is realized by considering the priorities and association relationships of the medical materials, the management efficiency of the medical materials is improved, and the management efficiency of the medical material intelligent house is further improved.

The invention discloses a data mining analysis method applied to a sandwich production control system, and relates to the technical field of data mining. The method comprises the following steps: collecting multi-source data of a sandwich production control system; predicting the production state of the production control system by adopting a stream data processing technology; performing quality prediction on the sandwich by adopting a deep learning algorithm; performing defect detection on the sandwich by using a computer vision technology; performing fault prediction by adopting a deep learning algorithm and a correlation analysis algorithm; optimizing the production scheduling of each production link by adopting an optimization algorithm; and product data of the sandwich are collected and product traceability is carried out. On the basis of data mining, various technologies are adopted to process and analyze the mined data, so that the production efficiency and quality are improved, and the production cost is reduced; by predicting the production quality and carrying out defect detection and fault detection, the production management level is improved, and the optimization of the production process, the accurate control of the quality and the effective management of the cost are realized.

The invention discloses an intelligent real estate registration method and system, relates to the technical field of real estate registration, and solves the technical problems that real-time monitoring and effective management of key indexes of a real estate registration business process are lacked, and risks are difficult to effectively prevent. Key indexes such as business handling time limit, error rate and illegal behavior occurrence rate are monitored in real time, risk sources are analyzed from multiple dimensions based on a large amount of historical data, a risk identification model is constructed by adopting advanced modeling methods such as a neural network, potential risks in real estate registration business can be accurately identified, and the risk identification accuracy is improved. The risk level can be accurately evaluated by combining comprehensive risk score calculation and a risk level division standard, corresponding emergency plans are made for different risk levels, hierarchical management and control of risks are realized, timeliness and effectiveness of emergency response are improved, loss caused by the risks is reduced, and safe and stable development of real estate registration business is guaranteed.

The invention discloses a garbage collection method, device and equipment suitable for FDP and a medium, and relates to the technical field of storage technologies. Whether the number of the source virtual blocks corresponding to the low-effective-data-frame-number water level virtual blocks in the RUH linked list is larger than a certain number or not is judged in turn; under different conditions, different garbage collection strategies are adopted, and then different garbage collection results are obtained, so that the technical problems that the performance such as write reduction, write amplification and random write is prone to being affected, the overhead is large, the utilization rate of the storage space is low, the garbage collection difficulty is large, and the stability is poor are solved; according to the method, the distribution of the data on the SSD disk is more effectively managed, garbage collection is started at a proper time, operation is only carried out on the source virtual blocks really needing to be collected, dynamic adjustment is carried out according to the number of the source virtual blocks and the number of the target virtual blocks, and garbage collection is more flexible and efficient.

The invention provides a geographic information system data management method and device and electronic equipment, and relates to the technical field of geographic information system data management. The method comprises the following steps: encrypting a first uniform resource address of a service resource related to geographic space data according to a preset rule to obtain a second uniform resource address; when request information including a second uniform resource address from a client is received and the client accords with preset authorization information, determining a first uniform resource address corresponding to the second uniform resource address, and obtaining response data including service resources corresponding to the second uniform resource address according to the first uniform resource address, and returning the response data to the client. Through encryption processing, address decryption, conversion and the like, effective management and access of the geographic information system data are realized, the management difficulty of the geographic information system data is reduced, and the management efficiency of the geographic information system data is improved.