243results about How to "Realize centralized management" patented technology

The invention discloses a multi-factor dynamic identity verification and access control system, which comprises a user management module, a biological recognition module, a strategy-level authorization module, a dynamic evaluation module and an interface module, and is characterized in that the user management module is used for user registration, information management and logout; the biological recognition module adopts a biological recognition technology to collect, process and compare biological characteristics of a user; the strategy-level authorization module is used for accessing sensitivity levels of applications and terminal type factors according to user identities; the dynamic evaluation module is responsible for monitoring and evaluating the user access process in real time; and the interface module is used for providing an interactive interface between the system and other systems or applications. By integrating various advanced technologies, efficient, safe and flexible access control management is realized, and the safety and user experience of the whole system are improved.

The invention, which relates to the technical field of image identification processing, discloses an AI-based image identification detection system comprising the following components: an optical physical model processing module, an environmental factor perception and analysis module, a color deviation correction module, a micro-feature enhancement module, an AI image identification module and a data storage and dynamic update module. By combining the optical physical model and the micro-feature enhancement algorithm based on the physical principle, the accuracy and reliability of object recognition under complex weather and illumination conditions are remarkably improved, and by introducing the optical physical model, the interaction between light and the object surface under different environments is accurately simulated, so that the object recognition accuracy and reliability are improved. And meanwhile, the micro-feature enhancement algorithm is optimally designed for specific environments such as low illumination and strong wind, so that the signal strength of the micro-feature region is effectively enhanced, and micro-feature deformation caused by environmental factors is recovered.

The invention discloses a cloud computer end-to-end fault root cause analysis method and system, and relates to the technical field of operation and maintenance data analysis, and the method comprises the steps: deploying data collectors on a virtual resource pool, a multi-stage cloud management platform and a cloud computer terminal, and monitoring and collecting various operation and maintenance data in real time; a unified operation and maintenance management center is introduced to complete the following work: providing management and configuration services of the data collector; receiving and summarizing operation and maintenance data; various AI models are accessed, operation and maintenance data from different sources are distributed based on the types of the AI models, the AI models perform deep analysis and diagnosis on the operation and maintenance data, and potential fault modes or abnormal behaviors are identified; customizing an alarm strategy, an alarm processing flow and an alarm notification mode; and introducing an AIOps service to generate an alarm and fault analysis report according to the analysis and diagnosis results of the AI model. According to the method, the service quality of the end-to-end full link of the cloud computer is monitored in real time, so that faults can be quickly positioned, early warning can be performed in advance, and the operation and maintenance cost and the fault risk are reduced.

The invention relates to the technical field of micro-grid distributed control, in particular to a micro-grid cluster distributed control method and system based on information interconnection. The method comprises the following steps: identifying a micro-grid cluster in a region, and extracting a plurality of micro-grid nodes; obtaining a plurality of microgrid operation state parameters; performing filtering standardization processing on the plurality of micro-grid operation state parameters, and constructing a micro-grid time sequence load change curve; discrete wavelet transform is carried out on the micro-grid time sequence load change curve, load fluctuation frequency trend mining is carried out, and micro-grid load fluctuation frequency trend characteristics are generated; carrying out data stream encapsulation on the load fluctuation frequency trend characteristics of the micro-grid, and constructing a cloud environment distributed computing framework; carrying out dynamic load demand calculation on the plurality of micro-grid nodes based on a cloud environment distributed calculation framework so as to obtain multi-period load demand prediction data of each micro-grid; according to the invention, high-efficiency microgrid cluster control with high energy utilization rate is realized.

The invention discloses a BIM-based whole house intelligent control system. The system is mainly formed by mutual cooperation of a BIM model data integration unit, an Internet of Things access unit, a control and management unit, an energy consumption analysis and optimization unit and a user interaction and platform integration unit. The invention provides a BIM-based whole house intelligent control system, and the system achieves the deep fusion of a BIM model (a building information model) and intelligent household equipment (i.e., Internet of Things equipment), thereby achieving the bidirectional data interaction between the BIM model and the household Internet of Things equipment, achieving the equipment management, energy consumption optimization, automatic control and remote operation and maintenance, and achieving the intelligent control of the whole house. And the living experience of the user and the equipment management efficiency are improved.

The invention discloses a hydroelectric generating set health state assessment method based on multi-dimensional data, and the method comprises the steps: S1, obtaining the operation data of a hydroelectric generating set, and carrying out the data preprocessing; s2, sensing data extraction is carried out on the preprocessed hydroelectric generating set operation data; s3, performing anomaly detection on the operation sensing data of the hydroelectric generating set; s4, carrying out sensing abnormal frequency statistics on the operation sensing abnormal data of the hydroelectric generating set; s5, thermal efficiency and operation water conservancy efficiency calculation is carried out on the operation sensing data of the hydroelectric generating set, and operation performance index analysis is carried out; s6, performing health state calculation according to the analyzed hydroelectric generating set operation performance index data; and S7, constructing a health assessment model to assess the health state of the hydroelectric generating set, uploading assessment data to the cloud platform, and executing a preset health early warning task. According to the method, the health state is calculated by combining the operation performance index and the sensing abnormal frequency data, so that more comprehensive health assessment is realized.

The invention provides an intelligent financial management system and method based on a multi-modal large model, and the method comprises the following steps: obtaining a paper original voucher picture through photographing or scanning; extracting specified information in the picture through a multi-modal large model, wherein the specified information comprises a voucher type, an amount and a cause; inputting the specified information into a trained multi-mode large model, judging a financial accounting subject to which the voucher belongs based on a cue word, and generating an accounting voucher; the generated accounting voucher is submitted to financial staff for auditing, and the accounting voucher is confirmed or modified; and storing the confirmed or modified accounting voucher into a financial management background to generate a financial statement. According to the invention, the working efficiency and accuracy of financial accounting bookkeeping are greatly improved, and the level of financial management is improved.

The invention belongs to the technical field of cloud computing, and discloses a lightweight multi-domain hyper-fusion platform construction method compatible with heterogeneous hardware resources, which adopts a lightweight hyper-fusion platform architecture compatible with the heterogeneous hardware resources, converts physical resources into virtual resources on a virtual machine based on a KVM (Kernel-based Virtual Machine), shields the difference of underlying hardware, and improves the performance of the platform. According to the method, heterogeneous storage resources are integrated based on Ceph, and storage devices of different manufacturers are integrated into a unified storage pool through a distributed storage technology without being limited by types of bottom hardware devices. Through the SDN technology, the OpenStack network service can decouple a network control plane and hardware, and unified management of different network devices is realized. Through a virtualization technology and an automatic management tool, a simplified elastic expansion solution is provided, and changes of resource demands are easily coped with.

The invention relates to the technical field of information security, and discloses a refined authority control data management system, which comprises an authority control module used for setting refined data modification authority according to roles and responsibilities of users and ensuring that only authorized users can modify specific data; and the operation recording module is used for recording each data modification operation of the user, including modification time, modification content, data states before and after modification and the like, so as to facilitate subsequent auditing and tracing. Through refined authority control and real-time verification, unauthorized modification operation and wrong modification operation are effectively prevented, the accuracy and safety of data modification are improved, through centralized management of the data management platform, the consistency and integrity of data are ensured, meanwhile, the maintainability and expandability of the system are improved, and the system is suitable for popularization and application. And the data management platform adopts a modular design, so that subsequent function expansion and upgrading are facilitated.

The invention provides a safe and reliable data center machine room cooling channel, and belongs to the technical field of data center heat dissipation and cooling devices. Comprising a bottom plate component, a vertical frame component, data center cabinets, a fire-fighting linkage skylight system, an access door system, an access control system and a monitoring sensing system, the data center cabinets are arranged between the bottom plate component and the vertical frame component in pairs, and the fire-fighting linkage skylight system is located at the top ends of the data center cabinets and the vertical frame component and can be in linkage with the monitoring sensing system. The channel door systems are located on the two sides of the cold channel respectively and can be in linkage with the access control system and the monitoring sensing system, and the purposes of safe opening and closing and emergency opening and closing are achieved. Meanwhile, an intelligent lighting system is further installed on the outer bottom face of the bottom short frame in the fire-fighting linkage skylight system, conventional lighting management can be achieved, highlight continuous lighting can be conducted in emergency, and reliable guarantee is provided for efficient operation, safety management and energy-saving control of a data center.

The invention relates to the technical field of financial management, and discloses a business and financial integrated financial centralized management system, which comprises an integrated data processing center for realizing real-time interaction and analysis of business data and financial data, and further comprises a multi-dimensional report generator in signal connection with the integrated data processing center, the generator can generate a multi-dimensional and dynamic report according to real-time interaction data of each independent financial department, and provides accurate data support for enterprise decision making. The financial centralized management system with business and financial integration is constructed, centralized management, real-time analysis and monitoring of financial data are achieved, the financial management level and the risk control capability are improved, and healthy and stable development of enterprises is ensured. On the basis, through deep learning and big data technologies, the system can provide more accurate decision support for enterprises, assist the enterprises to accurately grasp market pulses, optimize resource allocation and improve operation benefits.

The invention discloses a software test management system and a test method.The system comprises a project management module, a demand management module, a test submission management module, a use case management module, a test execution module and a defect management module, when software testing is carried out, a project administrator creates a software test project, and a research and development party newly adds a test submission demand; the test party designs a test case, executes a test plan, records the execution state of the test case and submits a test problem list according to the test requirement, the research and development party processes the test problem according to the test problem list, and the research and development party and the test party jointly complete the software test. The software test management system has good expandability, standard management is provided for the test process, research and development parties approve and test demand information through test parties, the standardization is good, and problems can be found more quickly; and unified management of test data provides a data source for subsequent multiplexing and analysis.

The invention relates to an electric energy meter data reporting method and system, and the method comprises the steps: activating a WIFI hotspot function of a WIFI communication and maintenance device, enabling a concentrator, an electric energy meter and the WIFI communication and maintenance device to establish communication connection through a WIFI hotspot after the WIFI hotspot function is activated, carrying out the networking of the concentrator and the electric energy meter in a WIFI hotspot coverage range through an MESH network, and carrying out the data reporting of the electric energy meter. Internal networking is carried out among the electric energy meters through the meter control gateway, the electric energy meters are connected to the electric energy meter control gateway through the meter control gateway, and the electric energy meter control gateway is connected with a plurality of concentrators through an ad hoc network. Based on communication networking of the MESH network, an interface provided by a meter control gateway is connected to an electric energy meter in the networking, and read electric energy meter data is transferred to the electric energy meter control gateway; and the concentrator receives the electric energy meter data transferred in the electric energy meter control gateway through a link control frame, is connected to the equipment side master station through a built-in 485 interface, and reports the electric energy meter data to the equipment side master station through a 485 bus.

The invention relates to the technical field of communication, and discloses a voice scheduling unified platform construction method and system based on SDH / PTN, and the method comprises the steps: deploying a soft switching platform and a server, configuring a soft switching data network based on an SDH / PTN transmission system, configuring an IP interface gateway on an existing stored program control exchange, and enabling the IP interface gateway to be in butt joint with the soft switching platform, thereby achieving voice intercommunication; the method comprises the following steps of: accessing a scheduling soft switching system in an IP (Internet Protocol) mode, running a scheduling service on a dual-mode scheduling desk in dual networks, and arranging an IP phone or an IAD (Inter-Access Device) analog access gateway and an analog phone at a corresponding site; through an NTP time service mode, time unification of all devices in program-controlled switching and soft switching is realized. A soft switch platform is interconnected with an emergency satellite communication network, an IP telephone is deployed through a satellite data network, the soft switch platform is intercommunicated with other telephones and a public network PSTN, and conference and video call functions based on the satellite network are realized. According to the method, the overall performance of the voice scheduling exchange system is improved, and a safer, more stable, more efficient and more flexible communication environment is provided for users.

The invention provides a pre-oxidation furnace temperature real-time monitoring system and method based on a cloud platform, and relates to the technical field of pre-oxidation furnace monitoring, and the pre-oxidation furnace temperature real-time monitoring system based on the cloud platform comprises a data acquisition unit, a temperature estimation unit, an abnormality analysis unit and a pre-oxidation furnace control unit. According to the invention, by combining the spatial correlation analysis result between the temperature data, the temperature interpolation model is constructed to estimate the temperature data of the non-measurement position in the pre-oxidation furnace, so that the accuracy and integrity of the temperature data are improved, the temperature distribution in the pre-oxidation furnace can be known more accurately, and the accuracy of the pre-oxidation furnace is improved. Abnormality analysis is carried out according to the preset space temperature threshold diagram of the pre-oxidation furnace, temperature abnormity can be found in time, the temperature in the pre-oxidation furnace is monitored in real time and accurately estimated, the system can optimize operation parameters of the pre-oxidation furnace, and the production efficiency is improved.

The invention relates to the technical field of intelligent power grids, in particular to an intelligent box-type substation monitoring method based on digital twinning. According to the method, a digital twinborn scene of the box-type substation is built through a three-dimensional model obtained through three-dimensional modeling, a deep learning algorithm model is integrated, and real-time monitoring and future state prediction of operation data of the box-type substation are achieved. And through an improved iTransform model, predicting the operation state of each hardware in a future preset time, and performing real-time simulation display in a digital twinning scene. And automatically triggering a risk early warning mechanism when the risk of abnormal operation, fault or exceeding a preset safety threshold value is predicted. Besides, a remote monitoring center is established, digital twinborn scenes and real-time monitoring data of a plurality of box-type substations are managed in a centralized manner, mobile terminal access is supported, and the response speed and the decision-making efficiency are improved. According to the method, the monitoring efficiency and the fault prediction accuracy are remarkably improved, and a powerful guarantee is provided for safe and stable operation of an intelligent power grid.

The embodiment of the invention provides a login control method and device based on operation and maintenance, a bastion host, a system, a storage medium and a program product. The method is applied to a bastion host, and comprises the following steps: in response to a first login request sent by an operation and maintenance terminal, verifying the operation and maintenance terminal; wherein the first login request represents login of the bastion host; after it is determined that verification of the operation and maintenance terminal succeeds, a second login request is sent to the target server, and the second login request comprises account information of the target server corresponding to the operation and maintenance terminal; in response to first login response information sent by the target server, sending the first login response information to the operation and maintenance terminal; wherein the first login response information represents that the operation and maintenance terminal successfully logs in the target server. The method is used for achieving the effects of enhancing the safety and traceability of operation and maintenance operation and improving the efficiency and compliance of operation and maintenance management.

The invention discloses an underground water intelligent system based on a three-dimensional geological model in the technical field of underground water. The underground water intelligent system comprises the following modules: a three-dimensional geological modeling module; an underground water monitoring module; the data analysis and visualization module is used for carrying out deep mining and analysis on the monitoring data by utilizing big data analysis and machine learning technologies, and identifying a rule and a trend of dynamic change of underground water; the geological change prediction module is used for carrying out numerical simulation on geological change, underground water flow and pollutant migration through the three-dimensional geological model, and predicting future water resource conditions and environmental influences to generate geological prediction data; an early warning and decision support module; and a water resource configuration and protection module. The system is scientific and reasonable, the geological change prediction module is based on a three-dimensional geological model, an advanced numerical simulation technology is applied, underground water flowing, pollutant migration and geological change processes are simulated, and the problem that geological change prediction of the underground water surface is not accurate is solved.

A part information management method, system and device and a computer readable storage medium relate to the technical field of vehicle data management, and comprise the steps of managing all part change data based on a change theme to generate a target change database, the part change data controlled by each control item in the target change database has the same change theme; when a target classification statistics instruction is received, classification statistics is carried out on the part setting change data in the target setting change database according to the target classification statistics instruction to generate a target statistics result, the target classification statistics instruction comprises a first instruction, and the first instruction comprises a second instruction; the first instruction comprises at least one of a transformation setting issuing department, a transformation setting reason and a transformation setting implementation stage. According to the application, automatic management of information such as setting and changing of the parts can be efficiently and accurately realized.

The invention relates to an informatization multi-service data integration method, system and device and a medium, and belongs to the technical field of service data processing. The integration method comprises the steps that a target data source is collected and initialized; structured data and semi-structured data are regularly and automatically extracted from the target data source to a source-attached data source through an ETL (Extract-Transform-Load) engine; performing digital semantic analysis on the unstructured data in the target data source, and performing partial structured processing according to a digital semantic analysis result to obtain partial structured data; taking structured data, semi-structured data and partial structured data in the source data source as a to-be-integrated data source; and performing data integration on the data in the to-be-integrated data source, synchronizing the integrated data to the short-term data center in real time, performing data aggregation, obtaining the aggregated data, and storing the aggregated data to the comprehensive data center. According to the method, data integration is effectively realized in an enterprise multi-source heterogeneous data environment, and the data management and decision-making requirements of an enterprise can be better supported.

The invention discloses an efficient and visual EAP monitoring system, and relates to the technical field of EAPs. The system comprises a front-end module and a server-side module, wherein the front-end module comprises an application management unit, an equipment type management unit, an equipment management unit, a version management unit, a resume updating unit and a server monitoring unit; in the invention, the EAPs are managed in a centralized manner through the management platform, and compared with the traditional EAP management, the situation that multiple sets of EAPs run in a coexistence manner is effectively solved, and flexible application configuration can be effectively integrated, so that the system has high compatibility and integration, the operation and maintenance cost of IT is reduced through the management platform, the running state of each EAP and the corresponding server is mastered in time, and the management efficiency of the EAPs is improved. Therefore, the efficiency of the system is improved, the function of rolling back to the old version is provided when updating fails, the risk of the system is reduced, and the platform not only realizes centralized management of the EAP, but also ensures the stability of the system and the security of data through perfect updating management and data backup functions.

The invention discloses a heat supply pipeline intelligent inspection robot matching management method and system, and relates to the technical field of pipeline inspection. A robot is used for heat supply pipeline inspection; and analyzing and processing the polled data, and identifying the abnormal condition of the pipeline. According to the intelligent inspection robot, the inspection task of the whole heat supply pipeline can be completed in a short time, and the inspection efficiency and the coverage range are greatly improved. A high-precision sensor carried by the robot can accurately detect the temperature, pressure, leakage and other conditions of the pipeline, and the accuracy and reliability of routing inspection are improved. The workload and the labor cost of manual inspection are reduced, and meanwhile, the safety risk and the misjudgment rate possibly caused by manual inspection are reduced. The abnormal conditions such as leakage and blockage of the pipeline are found in time, corresponding measures are taken for treatment, and the safety and stability of the heat supply pipeline are effectively improved.

The invention discloses an intelligent household equipment rapid identification and configuration method based on an NFC technology, and the method comprises the following steps: S1, starting NFC identification: enabling a user to enable a mobile terminal supporting an NFC function to approach an NFC induction region of unconfigured intelligent household equipment, enabling the mobile terminal to activate the NFC function, immediately starting an identification process, and preparing to read the information of the intelligent household equipment; according to the invention, information exchange is carried out by establishing close-range induction between devices by using the NFC technology, so that the configuration process of the smart home device is effectively simplified, the seamless joint effect is realized, the operation complexity and user errors are reduced, the device is ensured to be configured according to expectation, the reliability of the system and the efficiency of device configuration are improved, and the user experience is improved. The configuration efficiency and the user experience of the smart home equipment can be remarkably improved, centralized management of the access equipment is realized by using the central control screen, the coordination and the management efficiency of the system are improved, and the overall safety and the user experience of the smart home system are improved.

The invention discloses a cross-border e-commerce platform operation management system, which belongs to the technical field of cross-border e-commerce, and comprises a customer management module used for customer information management, classification, follow-up recording and data analysis; the product management module is used for managing product information, classifying, publishing and analyzing data; the supplier management module is used for managing supplier information, purchasing, evaluating and supply chain collaboration; the intelligent analysis engine is used for realizing data mining, prediction analysis and personalized recommendation; the data processing center is used for realizing data intercommunication and business process integration of the modules; and the interactive user interface is used for providing more intelligent and personalized user interaction experience. Enterprise import and export tracking and cross-border e-commerce product page management can be realized so that enterprise work efficiency can be enhanced. The intelligent level of the system can be improved; and the personalized application of the system can be improved through an interactive user interface, a customer behavior analysis subsystem and a personalized recommendation subsystem.

The present invention discloses an industrial automatic control data processing system and method based on digital twin, which belongs to the field of industrial automation control technology. The present invention establishes a connection between the edge side and the cloud center through the edge side management module, automatically collects industrial data through the edge collection node, and stores the collected industrial data in the edge device; sends a data request to the cloud center through the data mapping module, and the cloud center receives the industrial data uploaded by the edge side and maps the received industrial data in the digital space based on the digital twin technology; analyzes and feedbacks the data collection status of the edge side through the cloud processing module; updates the data collection strategy of the edge side according to the analysis results fed back by the cloud center through the collaborative control module, and transmits the updated data collection strategy to the edge device, and adjusts the data collection business of the edge collection node. The data in the industrial production process is processed more flexibly, which reduces the resource consumption of operation and maintenance.

The invention relates to the technical field of data processing, in particular to an order data processing method and system based on a block chain. The method comprises the following steps: acquiring a multi-source order data set; performing transaction address analysis on the multi-source order data set to generate order transaction address data; order processing server construction is carried out on the multi-source order data through the order transaction address data, and order processing distribution server data is generated; order processing access frequency analysis is carried out on the multi-source order data set through order processing distribution server data, and order processing access frequency data is generated; and performing order screening on the multi-source order data set based on the order processing access frequency data to generate high-frequency order access data and low-frequency order access data. According to the invention, through optimization of multi-source data integration, order access frequency analysis, transaction synchronization and channel optimization, the reliability and efficiency of order transaction are improved.

The application relates to the technical field of lamps, in particular to a solar-powered flash lamp and a control system thereof, wherein the flash lamp comprises a flash lamp body, an energy storage battery connected with the flash lamp body, a solar panel connected with the energy storage battery, a wireless communication module and a control component connected with the energy storage battery, the wireless communication module receives a remote control instruction of the flash lamp body, and the control component controls the opening and closing of the flash lamp body based on the remote control instruction. Therefore, the flash lamp control technology in the related art cannot realize wireless linkage triggering, and the construction and maintenance costs are high.

The invention provides a structured management system for an intelligent supervision database of a coal-fired power plant. The system comprises a disk monitoring system database acquisition module, a disk monitoring system database management module, a disk monitoring system database browsing module and a disk monitoring system database background module, and data compression, data storage and data backup recovery are performed on acquired data, so that centralized management of disk monitoring system data is realized; meanwhile, data information sharing with other monitoring systems of the coal-fired power plant is realized through related communication interfaces; the data compression adopts an LZW lossless data compression algorithm; the data storage is based on an SDN network architecture, an optimal cloud storage strategy combination is selected according to different data characteristics of a coal-fired power plant, an optimal cloud storage strategy combination is selected according to different data characteristics of a power enterprise, the purpose of improving the storage performance is achieved, and unified centralized management and maintenance are formed for a database.

The application discloses a large and medium-sized water and electricity engineering emergency resource assessment and prediction method and device, relates to the safety emergency technical field of water conservancy and hydropower engineering, and specifically discloses the following technical scheme: multi-source heterogeneous data such as engineering basic information, emergency resource account books and expert knowledge rules are collected, a standardized data base is constructed through cleaning and checking and semantic mapping, an evaluation index system is constructed based on the data base, the emergency resource guarantee capacity is quantitatively evaluated and the short board is identified through a comprehensive evaluation algorithm, the evaluation result is combined with an emergency scene, a task chain is deduced, resource demand is calculated and compared with inventory, the optimal storage quota is determined through multi-scenario weighted optimization, finally, a multi-target model is constructed in combination with a budget and material priority, a phased scheme is intelligently optimized and generated, visualized interaction is output, and the optimal allocation and efficient scheduling of emergency resources are completed. Through multi-target intelligent optimization and visualized interaction, the phased scheme output is realized, and the problems of slow emergency response and unscientific decision-making are solved.

The application provides a die cutting and hot stamping equipment intelligent state monitoring and fault diagnosis system and method, and relates to the field of intelligent monitoring.The method comprises the following steps: collecting working parameters of multiple key parts of the die cutting and hot stamping equipment, constructing a time sequence collection window, slidingly collecting the working parameters, and obtaining characteristic information reflecting the equipment state; based on the characteristic information, constructing an anomaly detection model, performing anomaly detection on the equipment state, obtaining an anomaly score, and judging whether the equipment state is abnormal according to the anomaly score; for the characteristic information judged as abnormal, constructing a fault diagnosis model based on the fault type to which the characteristic information belongs, performing fault diagnosis on the equipment state, and generating a diagnosis result; and generating a comprehensive diagnosis and operation and maintenance decision report according to the diagnosis result.The application realizes comprehensive perception of the internal state of a closed host through multi-sensor collaborative monitoring and dynamic time sequence collection, breaks through the limitations of traditional monitoring, and provides accurate data basis for early fault warning and predictive maintenance.