343 results about "Effective management" patented technology

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 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 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 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 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 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 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 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 provides a salary payment management interaction method, system and device and a medium, and relates to the technical field of accounting services, and the method comprises the steps: firstly integrating a salary mode setting control, an income tax calculation control and a salary grouping payment control through a salary payment management interaction main interface; detailed salary structure configuration, formula editing and salary issuing subject classification association are carried out on the salary mode setting sub-interface, and a flexible salary configuration rule meeting actual requirements is generated; in the income tax calculation sub-interface, the special deduction data is automatically matched according to the preset salary and tax rules, the amount of payable tax and the actual salary are accurately calculated, and the accuracy and compliance of tax processing are ensured. And finally, effective management of the service object and accurate payment of the salary are realized on the salary grouping payment sub-interface, so that the salary processing efficiency is improved, the timeliness and correctness of tax payment are ensured, and the professional level and service quality of enterprise salary management are integrally improved.

The invention discloses a BMS protocol adaptation method and system based on a CSV file and a storage medium. The method comprises the steps of standardizing CSV configuration file design, storing BMS protocol data in a fixed format and integrating a verification error correction mechanism; dynamic configuration management and initialization are conducted, a FATFS file system is used for managing CSV configuration files in an SD card, multiple transmission modes are supported, and dynamic loading and hot plugging are achieved; efficient data processing and analysis are carried out, and a complete process is designed to ensure that protocol data and CAN bus data are accurately matched; and performing security encryption and access control, performing encryption processing on the configuration file, and introducing an adaptive protocol version management and rollback mechanism. The system and the storage medium correspond to the system and respectively comprise related function modules, a storage layer, a management layer and the like. According to the scheme, standardized storage and efficient processing of the BMS protocol data are achieved, unified management is facilitated, development and maintenance cost is reduced, and effective management and use of the system on the configuration files in different environments are guaranteed.

The invention provides a network abnormal traffic identification method and system applied to big data, and the method comprises the steps: receiving an original traffic data stream flowing in a network transmission link, and extracting the associated attribute information carried by the original traffic data stream; performing link association analysis processing on the original traffic data flow to obtain a traffic association map and traffic transmission link characteristics; and inputting the traffic association map and the traffic transmission link features into a preset anomaly identification network, and generating traffic anomaly association features through hierarchical interaction processing. And triggering a classification decision-making mechanism based on the traffic anomaly association features, and outputting an anomaly identification result of the network traffic. And finally, generating flow control guide information according to an abnormal identification result, and sending the flow control guide information to a flow control node to execute a control operation. According to the method, flow data are analyzed from multiple dimensions, association between features is fully mined, accurate identification and effective management and control are realized, the capability of the network to deal with abnormal flow is effectively improved, and stable operation of the network and data security are guaranteed.

The invention provides a container operational lease customer relationship management method and system. The method comprises the following steps: creating a table structure with relevance according to business requirements; creating clues according to the potential customer information obtained by each channel, and performing clue management and conversion; converting the effective clues or manually creating a new customer, and performing new customer approval and customer relationship maintenance; creating contact persons according to the obtained customer contact person information, and performing customer contact person relationship maintenance; creating business opportunities according to offline collected box renting demands of customers, and performing business opportunity conversion process follow-up, including demand confirmation, scheme quotation, contract creation, order winning and order losing; and creating a contract according to contract terms generated in the business opportunity scheme quotation stage, and initiating contract approval and approval process follow-up. Through collection of multi-channel clue resources, establishment of complete customer insight, improvement of information sharing and establishment of a sales process funnel, effective management of a business opportunity conversion process is realized, and the overall process efficiency of customer signing is improved.

The invention relates to the technical field of data processing, in particular to a water resource management optimization method based on user behavior analysis, and the method comprises the steps: enabling the accumulated water consumption of a user in each time period to form a water consumption sequence, and obtaining a representative period length according to the periodic characteristics of the water consumption sequence; obtaining a target subsequence according to the representative period length, and obtaining a behavior deviation index according to the periodic characteristic difference between the target subsequence and the water consumption sequence; inputting the target sub-sequence into an LSTM model, and obtaining a model feedback factor by using an internal feedback feature of the LSTM model; according to the method, the representative period length is adaptively adjusted according to the model feedback factor and the behavior deviation index, a sub-sequence for predicting the accumulated water consumption of the user in the future time period is obtained, the future water consumption behavior of the user is predicted by using the LSTM model, the accuracy of predicting the future water consumption behavior by using the LSTM model is improved, and the user experience is improved. And effective management of water resources is realized.

The invention relates to the technical field of chemical production safety, in particular to a chemical production safety risk intelligent reasoning method and system and a storage medium, and the method comprises the steps: building a multi-level flow model according to a chemical production flow chart, and constructing a fault tree analysis qualitative model for the multi-level flow model through a danger and operability analysis technology; fusing and correcting the multiple groups of evidence sources according to the D-S evidence theory to obtain the initial abnormal probability of each basic event; and establishing a dynamic Bayesian network quantitative model in combination with a logic gate rule, and performing forward reasoning and backward reasoning. According to the invention, forward reasoning and backward reasoning can be carried out on abnormal event nodes in the chemical production process, causal traceability is completed, an abnormal propagation path is explored, and an effective management means is provided for safe production in the chemical process.

The invention discloses a power quality control method for a power distribution network. The method comprises the following steps: monitoring power quality parameters of a target node of the power distribution network in real time; analyzing and identifying the current power quality state based on the monitoring parameters; generating a compensation control instruction according to the state in combination with a preset control target or a dynamically adjusted control strategy; outputting the instruction to at least one electric energy quality adjusting device on the power distribution network; and triggering the device to execute the instruction, and performing dynamic compensation adjustment on the power quality parameters of the power distribution network. The method can realize effective management and control of the power quality of the power distribution network, and improves the power supply stability.

The invention discloses an engine health management method, device and equipment and a medium. The method comprises the steps that after it is detected that the current execution moment meets the current management cycle starting condition of an engine, operation and maintenance log information corresponding to the current execution moment of the engine is determined; determining a health prediction model corresponding to the engine according to the operation and maintenance log information; input data of the health prediction model are determined, a prediction result output by processing the input data through the health prediction model is obtained, and the prediction result is used for health assessment and fault early warning of the engine. According to the method, the health prediction model corresponding to the engine is determined according to the operation and maintenance log information, health assessment and fault early warning can be carried out on the engine through the corresponding health prediction model before and after maintenance, and effective management on engine health management under the condition of state transition before and after maintenance is achieved.

The invention is suitable for the technical field of information retrieval, and provides a financial field information retrieval method and system based on a hybrid model. The method comprises: receiving a question and answer request; arranging and filtering by adopting a pre-training sorting model; analyzing important information by using a local algorithm or a small model; identifying the value information by using the middle model; generating a natural language answer through a large language model; and reasoning verification and final output are carried out. Cooperative division of labor can be performed on small and medium models and large models which can be quickly updated, newest financial data and laws and regulations are effectively managed and timely incorporated, so that real-time effectiveness of question and answer content is guaranteed, dependence on frequent training of the large models is reduced by utilizing the characteristics of simple structure and flexible updating of the small and medium models, and the question and answer efficiency is improved. The method greatly improves the absorption efficiency of new knowledge and new data, greatly improves the precision and reliability of processing complex financial problems through the mixed architecture of the model, and reduces the overall operation cost.

The invention relates to the technical field of refrigeration control, in particular to an intelligent energy-saving control system for a building refrigerating machine room, which comprises a building area classification module, a deviation detection module, an identification module and a refrigeration control module, and is characterized in that space areas are classified according to functions of the space areas; acquiring a real-time energy consumption deviation value of the building to be monitored, comparing the standard energy consumption deviation value with the real-time energy consumption deviation value, and judging a difference condition between actual energy consumption and expected energy consumption; and whether the actual operation mode of the air conditioner is adjusted or not is determined according to the difference conditions. According to the method, the type of the energy consumption use condition at the current moment is recognized, the air conditioner operation strategy is flexibly adjusted in different time periods, the adaptability to use scenes and demand changes is improved, the current energy consumption load is recognized again in the peak period, unnecessary air conditioner equipment is temporarily turned off, starting and stopping of the air conditioner equipment are controlled, and the energy consumption control efficiency is improved. And optimizing start-stop control parameters so as to realize effective management of the energy consumption of the building area.

The invention discloses a new energy electric vehicle time-phased ordered charging management method, which comprises six steps of data acquisition and preprocessing, user demand classification and parameter extraction, optimization model and constraint condition establishment, mode-divided scheduling strategy, dynamic adjustment and real-time control, and user interaction and feedback. According to the method, electric vehicle users are divided into interruptible and uninterruptible charging users for separate effective management, different charging priorities are distributed to different modes of users, and different scheduling strategies and different constraint conditions are adopted in a targeted manner, so that the load balance of a power grid and the stable operation of the power grid are ensured, and the charging efficiency is improved. Personalized charging services are provided for electric vehicle users with different requirements; the method has the advantages of being high in management level and good in charging service quality, and personalized charging services can be provided for electric vehicle users with different requirements while the load balance of the power grid and the stable operation of the power grid are guaranteed.

The invention relates to the technical field of medical management, in particular to a medical quality assessment management system based on artificial intelligence. The system is based on a Donabedan structure-process-result model and comprises a data acquisition module, a preprocessing module, a feature extraction module, a medical quality evaluation module, an evaluation result display and feedback module, a management decision module and the like. The data acquisition module collects multi-source related data, after the data is preprocessed by the preprocessing module, the feature extraction module extracts features according to three dimensions of supportability guarantee, initiative behaviors and result output, the medical quality evaluation model outputs evaluation scores and details of each dimension according to the features, and the display and feedback module visually displays results and collects and feeds back. And the management decision module generates targeted suggestions accordingly. The artificial intelligence technology is utilized to overcome the defects of a traditional evaluation mode, comprehensive, objective and accurate evaluation and effective management of the medical quality are achieved, and a hospital is assisted to improve the medical service level.

The invention provides a database vector index management method and a related product. The method comprises the following steps: establishing an HNSW index entry according to a preset field structure; recording the hierarchy of the target node corresponding to the vector and the information of the neighbor node at the hierarchy in the HNSW index page of the HNSW index entry; identifying whether the target node is a seed node comprising a subordinate cluster; and if yes, recording subordinate cluster member information of the target node in a cluster list page of the HNSW index entry. According to the scheme, the HNSW index entry is established according to the preset field structure, a structured basis is established for vector index management, the query efficiency of the vector index is improved, effective management of the vector index is achieved, and the access efficiency and query efficiency of the vector data are greatly improved.

The invention relates to the technical field of block chain technology and education data management, and discloses an education data management system and method based on a block chain, and the method comprises the steps: constructing an education business field specific language, and training an education business intention understanding model; applying a constraint solving algorithm to solve the smart contract parameters meeting various constraint conditions, and generating a smart contract code meeting multi-objective optimization; performing multi-level formalized verification on the generated intelligent contract code; constructing an educational policy and regulation knowledge base and calculating a contract policy compliance score; implementing a hierarchical transition strategy; the system is constructed based on a domestic Feiteng processor and a Kylin operating system, and stable operation and data security in an extreme environment are ensured; the technical problems of difficulty in intelligent contract development, difficulty in policy compliance evaluation and complexity in contract evolution upgrading in education data management are solved, and reliable storage, safe sharing and effective management of education data are realized.

The invention relates to the technical field of supply chain data analysis, and particularly discloses a supply chain financial management method and system, and the method comprises the steps: determining a supply chain role index, an enterprise behavior health degree index and a key network index of each enterprise in a supply chain in real time; evaluating the risk level of each enterprise based on the supply chain role index, the enterprise behavior health degree index, the key network index and the introduced time attenuation coefficient of each enterprise in the recent historical period; based on the multi-dimensional macroscopic market data of all enterprises in the supply chain in the recent historical period and the market-supply chain mapping matrix, predicting a risk conduction path in the recent future period; when it is judged that full-link index recalculation and risk rating updating are triggered based on the risk sudden change threshold value, the risk rating updating amplitude is calculated, and grading response is executed based on the risk rating updating amplitude and the risk conduction path in the recent future period; effective management of supply chain finance risks is realized, and stable operation of supply chain finance is guaranteed.

The invention discloses a control method and device for an industrial robot, an industrial robot system, a storage medium and a computer program product, and the method comprises the steps: constructing a distributed control architecture based on an industrial Ethernet protocol, taking a master control module as a master station, taking a plurality of robot modules comprising the industrial robot and corollary equipment as slave stations, and carrying out the control of the industrial robot; the master station communicates with the slave stations through an industrial Ethernet protocol; a communication signal address of the corollary equipment is configured, and robot operation point position teaching is carried out through a graphical interface; automatically generating a process package program according to the communication signal address and the demonstrated point location information; and the master station issues a process package program and a control instruction to each robot module through an industrial Ethernet protocol so as to realize linkage control of a plurality of industrial robots. According to the scheme, effective management and control of the operation state of the whole line and quick response of faults are achieved, and the requirements for efficient, flexible and stable operation of the production line are met.

Systems and techniques for tracking the state of entries in a queue are disclosed. The techniques include providing a first entry of the queue to a first process and providing a second entry of the queue to a second process. The queue has multiple segments. The techniques further include modifying a data structure associated with the queue for the first entry in response to receiving a first signal from the first process. The data structure associated with the queue has multiple sections. Each section has one or more counters, each associated with one of the multiple segments. The techniques further include modifying the data structure associated with the queue for the second entry in response to receiving a second signal from the second process.The techniques also include modifying an end pointer of the queue based on the data structure associated with the queue.

The application relates to the technical field of computer software, and provides a message routing method, a system and electronic equipment, wherein the method comprises the following steps: firstly, after a message queue is accessed, current messages of the message queue are acquired, and description information of the current messages is determined; then, the description information of the current messages is compared with pre-configured rule information, a target processor for processing the current messages is determined, and the current messages are sent to the target processor. The routing method introduces the pre-configured rule information, and different access codes and consumption codes do not need to be written for different MQs, so that the consumption mode of the messages is no longer realized by hard coding, but realized by the configured rule information, so that the implementation cost of different MQs can be greatly reduced, the effective management capability for messages of different sources is improved, the application of the messages of different sources is facilitated, and the messages consumption hot replacement and hot suspension capability of a service with high restart cost can be realized.