33results about How to "Meet management needs" patented technology

The invention discloses a smart home management system and method, electronic equipment and a storage medium, and the method comprises the steps: receiving a home management control instruction through an application service layer, determining a corresponding target home management application service according to the home management control instruction, generating a corresponding service calling instruction, receiving the service calling instruction through a business logic layer, and transmitting the service calling instruction to a server; determining a corresponding target task processing logic and each target home management agent, calling each target home management agent to execute a home management task according to the target task processing logic, and storing each home management agent and a plurality of task processing logics corresponding to each home management agent through a service deployment layer, and managing each task processing logic and each home management agent. According to the invention, standardized smart home management can be realized, the smart home management efficiency is improved, the smart home management effect is improved, the smart home management requirement of a user is met, and the method can be widely applied to the technical field of artificial intelligence.

The invention provides a cluster device management method and apparatus, and an electronic device, a cluster center verifies device information encrypted and transmitted by a target device through a unified management interface, and stores the device information and a digital certificate sent by the target device through the unified management interface after the device information passes the verification. And performing fault detection on the target equipment based on the periodically acquired running state information of the target equipment by adopting a pre-trained fault detection algorithm, performing alarm processing when detecting that the target equipment has a fault, and responding to a configuration operation for the target equipment of the configuration management interface. And generating an encrypted digital signature based on configuration information corresponding to the configuration operation, and sending the configuration information and the encrypted digital signature to the target device through the unified management interface. By adopting the method and the device, the management requirements of various different types of equipment can be met.

The invention belongs to the technical field of airport flight scheduling and information, and discloses a flight reduction and timing method and system based on an airport transportation and management committee mode. The method comprises the following steps: acquiring flight adjustment information, and establishing a flight operation adjustment information set; the bureau side confirms a next-day flight scheduling and reducing target set according to the flight operation adjusting information set; after the airport operation command center obtains the next-day flight adjustment and reduction target, consultation participated by the airport, the airline and the bureau is carried out, the influenced next-day flight is evaluated, and a flight adjustment scheme is negotiated; and for the flight adjustment scheme, each airline confirms and is consistent with an airport and a bureau, and a final flight adjustment and reduction scheme is formed. The airport flight cooperation capability can be effectively improved. Information sharing is carried out by establishing multi-party information channels, and flight adjustment information can be obtained in time; flight adjustment gives consideration to flight reduction and time adjustment, and airport flight throughput can be ensured as much as possible under the condition of maximum capacity.

The invention relates to the technical field of wireless communication, and provides a power-off control method and device, equipment, a storage medium and a program product. The method comprises the steps of obtaining a base station working state based on a power management system; the working state of the base station is determined based on the working state of each load; based on a battery management system, acquiring charge state information of the battery pack; and controlling at least one load to be powered off through the intelligent switching power supply based on the power supply management system according to the working state and charge state information of the base station. According to the mode, the intelligent switching power supply controls the at least one load to be powered off according to the working state and the charge state information of the base station, and in the power-off control process of the load, a dynamic decision is made by referring to the working state of the super base station and the charge state information of the battery pack at the same time, so that dynamic refined load power-off control can be provided; and the management requirement of load power-off in the super base station is met.

The invention provides a hard disk management system and method, electronic equipment and a storage medium, and relates to the field of hard disk management, the system comprises a CPU used for sending a VPP signal to an I2CSWITCH chip; the at least one I2CSWITCH chip is used for receiving the VPP signal output by the CPU and distributing the VPP signal into a plurality of shunt signals according to different PCIe ports, and the shunt signals are transmitted through respective corresponding I2CSWITCH channels; and the analysis module is connected with the I2CSWITCH chip through a plurality of I2CSWITCH channels, and is used for receiving the shunting signal from the I2CSWITCH chip, determining a target hard disk from the plurality of NVME hard disks according to the shunting signal, and sending a corresponding management instruction to the target hard disk. According to the method and the device, the number of available VPP addresses is effectively expanded, and the ever-increasing NVME hard disk management requirements are met.

The invention discloses a medical instrument equipment position dynamic trajectory tracking intelligent management system, and relates to the technical field of medical equipment management.The medical instrument equipment to be managed is tagged and labeled through a trajectory data mining unit, and a trajectory database is mined based on equipment position features; the multi-element management construction unit is used for constructing an intelligent management block by combining the track database according to multi-element management dimensions; an equipment tracking and state analysis unit receives equipment updating information, performs equipment tracking and state analysis in combination with the intelligent management block, and generates an equipment data stream; and the equipment position management unit reversely acts the equipment data flow on a plurality of functional modules to perform equipment position management. According to the method and the device, the technical problems that the position and the real-time state of the equipment cannot be obtained in time due to low management efficiency and poor real-time performance of the medical instrument in the prior art, and the use and the maintenance of the equipment are influenced are solved, and the real-time performance, the accuracy and the management efficiency of the medical instrument management are improved.

This invention proposes a health monitoring method and device based on a smart bracelet. The method uses the smart bracelet as the executing entity and includes the following steps: S1: Acquiring a multimodal physiological signal set and an environmental interference data set of the monitored object. The multimodal physiological signal set includes electrocardiogram (ECG) signals, heart rate signals, blood pressure signals, blood oxygen saturation signals, skin conductance signals, and body temperature signals. The environmental interference data set includes motion state data, light intensity data, wearing contact pressure data, and ambient temperature data. S2: Preprocessing the multimodal physiological signal set and the environmental interference data set. This invention can achieve accurate, efficient, and personalized health monitoring, output health level and abnormality tracing information, and trigger early warnings when necessary. It is suitable for daily health management, exercise monitoring, and disease early warning scenarios for different groups such as children, adults, and patients with chronic diseases.

The utility model discloses a disassembled electric energy meter detection and management device, and belongs to the technical field of electric energy meter inspection equipment. A detection area is formed at the top of the frame; the conveying line is laid in the detection area, and the conveying line is provided with a conveying belt for conveying the electric energy meters in the length direction of the frame; the vision cameras are used for collecting the appearance and display screen information of the electric energy meter, a plurality of hanging brackets are evenly distributed on the side, located on the conveying line, of the frame and used for hanging the vision cameras, and the vision cameras are located above the conveying belt; the frame is located on the side, away from the hanging bracket, of the conveying line, the positions, corresponding to the visual cameras, of the frame are fixedly connected with the infrared sensors, and whether electric energy meters exist on the conveying belt or not is detected through the infrared sensors; and the RFID antenna is arranged at one end of the frame and is used for being communicated with the RFID reader. According to the utility model, the manual participation degree can be effectively reduced, the detection and management means of the disassembled electric energy meter by a power grid enterprise are improved, and the working efficiency is improved.

The embodiment of the invention provides a data asset analysis method and device, electronic equipment and a storage medium, and relates to the technical field of data processing. Receiving a data asset analysis instruction; the data asset analysis instruction comprises a to-be-analyzed service; acquiring corresponding target business data from a database according to the to-be-analyzed business; and determining a target analysis method according to the target business data and the to-be-analyzed business, and performing data asset analysis on the to-be-analyzed business according to the target business data through the target analysis method. Through the method, the electronic device can select the appropriate analysis method to perform data asset analysis by itself in combination with the specific target business data and the corresponding condition of the business to be analyzed, and different analysis modes do not need to be set for different businesses in a targeted manner, so that the applicability of the data asset analysis method can be improved, and the data asset analysis efficiency is improved. And cross-industry and cross-field data asset management requirements are met.

The invention discloses a live-action three-dimensional parameterization method and system. The live-action three-dimensional parameterization method comprises the following steps: inputting a live-action three-dimensional file; establishing a blank output file according to the live-action three-dimensional file, establishing a control network according to the live-action three-dimensional file so as to divide the live-action three-dimensional file into a plurality of three-dimensional unit grids, and establishing a file basic unit corresponding to each three-dimensional unit grid in the blank output file. And according to the live-action three-dimensional file and the control network, adding grid classification information and parameterization information in the blank output file to form a live-action three-dimensional parameterization file. According to the method, the live-action three-dimensional file which does not contain parameter information outside a three-dimensional space is converted into the live-action three-dimensional parameterized file with various kinds of parameter information, the parameter accuracy is high, checking is convenient, the management requirement of engineering construction can be fully met, the burden of workers is relieved, and the working efficiency is effectively improved.

The invention relates to the technical field of communication, in particular to a link generation method and device, equipment, a medium and a product, and the method comprises the steps: obtaining a pre-constructed resource tree model; wherein the resource tree model comprises association relationships among network equipment resources, network address resources and user service resources; converting resource data in the resource tree model into layer data, and projecting the layer data to a satellite map; in response to a trigger operation of a user for any map icon in the satellite map, constructing a topological relation of resource data corresponding to the map icon based on a predefined association relation in the resource tree model; and generating a visual link on the satellite map based on the topological relation. Through a predefined resource tree model, an association relationship among three kinds of resource data of equipment, addresses and services is established, an end-to-end topological link is automatically constructed and visualized, and visual positioning of a topological relationship from a single resource point to a full link is realized.

This utility model discloses an optical fiber coiling device, an optical engine, and an optical module, including a coiling frame and a limiter. The coiling frame has a first surface and a second surface facing each other. The second surface is provided with slots for accommodating or aligning the first and second optical components. The first surface is provided with an arc-shaped coiling channel, a coiling structure, and multiple positioning blocks. The limiter cooperates with the first surface of the coiling frame. After the first optical fiber leading from the slot of the first optical component on the second surface reaches the first surface, it is coiled and limited within the arc-shaped coiling channel. The second optical fiber leading from the slot of the second optical component on the second surface is guided and limited to be led out along a non-coiling path. This utility model achieves effective management and reliable fixation of different optical fiber paths, ensuring the bending radius of the optical fiber. At the same time, the coiling frame integrates an optical component protective cover and auxiliary sealing function, effectively optimizing the internal space of the module, simplifying the assembly process, and improving the reliability and production efficiency of the optical module.

The present invention relates to the field of energy management technology, and discloses a distributed wind-solar-hydrogen storage microgrid system energy management method, including: microgrid system data collection and analysis: using a data collection device installed in the microgrid system to collect the loads in the microgrid system and the amount of electric energy consumed by each load, and comprehensively analyzing the collected information data to analyze the peak power consumption of the microgrid system. By analyzing the information data collected by the data collection device, the peak power consumption of the microgrid system and the peak power generation of the photovoltaic power generation system, the wind power generation system, and the water electrolysis hydrogen generation system can be obtained respectively, and then the peak power consumption of the microgrid system is matched and compared with the peak power generation of the power generation system, so that several power generation systems can be matched to the microgrid system, and at the same time, it is determined whether the power generation of the matched several power generation systems can meet the energy consumption of the peak power consumption of the microgrid system.

The invention relates to a warehouse management technology, and provides an intelligent CFS warehouse management system and method, and the system comprises a warehouse management control module which is provided with a warehouse management program and is used for processing and storing warehouse information and cargo information, and transmitting warehousing indication information to a vehicle-mounted control module according to the warehousing condition; the vehicle-mounted control module is provided with an industrial control program, is in communication connection with the warehouse management control module and is used for receiving and transmitting the cargo information and the warehouse location information; the data acquisition module is used for acquiring cargo information and storage location information; through linkage of RFID and an intelligent algorithm, automatic identification of goods / storage locations, contiguous storage recommendation and dynamic adjustment are realized, manual code scanning is replaced, the efficiency, the space utilization rate and the operation safety are improved, and multi-scene requirements are flexibly met.

The present invention provides a flight schedule coordination period division method, device and storage medium, comprising: collecting flight operation data, calculating flight operation efficiency indicators, including: flight departure delay, flight arrival delay, flight execution rate, and flight regularity; constructing a time series with a day as the granularity according to the flight operation efficiency indicators; using a time series similarity measurement method to measure the similarity between monthly time series; establishing a flight schedule coordination period division calculation model according to the time series similarity measurement result, and dividing the flight schedule coordination period of an airport or an airport group; using a TOPSIS method with an entropy value to evaluate each division result, obtaining the optimal division result of the flight schedule coordination period of different research objects, and optimizing the current flight season division method to meet the management demand of flight time slot allocation.

The invention discloses a method and a system for detecting the domestic rate of enterprise equipment based on a large model, which are used for the technical field of language processing, and the method for detecting the domestic rate of the enterprise equipment comprises the following steps: extracting equipment attribute data of an enterprise by utilizing a structured query language; converting texts in the equipment attribute data into word vectors based on a natural language processing technology; calculating a word frequency-reverse file frequency value of each word in the word vector through a statistical method, and extracting text keywords in the equipment attribute data; based on a pre-trained large model, text keywords in the equipment attribute data are recognized, and domestic equipment is determined according to production place information; and calculating the ratio of the enterprise equipment to the Chinese equipment. The architecture design based on the large model has good expandability, can flexibly meet the requirements of different enterprises, and improves the wide applicability of domestic rate detection.

The invention provides a data traceability analysis and application system and method based on a power grid data medium station, and relates to the technical field of power big data analysis and application, the system comprises a data development part and a system development part, and the data development part comprises a power data index development module and a power data analysis module; and the system development part comprises a data product deployment module, a data product component software development module, an application software management development module, an external service software development module and a system daily management module. The method improves the utilization efficiency of data resources in data, promotes the fusion of internal and external data, and strengthens the correlation research of power data and social economy. According to the invention, data and model bases are provided for research of power services, virtual power plants, load management, micro-grids and the like.

The present invention discloses a method and device for identifying power warehouse devices based on RFID technology. The method includes: obtaining device identification information of a device to be identified, and determining whether the RFID electronic tag information matches the pre-stored standard RFID electronic tag information; wherein the device identification information includes RFID electronic tag information, device image information, and device outline information; when the RFID electronic tag information does not match the standard RFID electronic tag information, determining whether device stacking occurs in the device to be identified based on the device image information, or based on the device image information and the device outline information; when device stacking occurs in the device to be identified, adjusting the device to be identified based on the device outline information to re-acquire new device identification information for device stacking identification. The present invention can accurately identify power warehouse devices when device stacking occurs in the power warehouse devices, and better meet the user's management needs for power warehouse devices.

This invention discloses a modular gradient purification rain garden system, its monitoring method, and its construction method. Existing rain garden systems generally suffer from non-standard structures and inconvenient assembly. This invention, from top to bottom, includes a permeable paving layer, a bioretention layer, a capillary drainage layer, and a water storage and reuse layer. Each functional layer uses standard modular units, which are connected by stainless steel tenon and mortise connectors. Waterproof rubber sealing rings and bentonite sealing strips are installed at the joints of the standard modular units. Each functional layer is equipped with an intelligent monitoring unit, which includes a turbidity sensor, a pH sensor, a water level sensor, and a temperature sensor. All sensors are connected to a wireless module, and the sensor data is uploaded to a cloud-based prediction platform for centralized processing via a network. This invention improves the flexibility and convenience of rain garden systems during construction, installation, and subsequent maintenance.

The invention relates to the technical field of computer vision, and discloses an image data enhancement preprocessing system for gesture recognition, which comprises an image acquisition unit, a data enhancement unit, a feature extraction unit and a preprocessing output unit. The image acquisition unit receives multi-source input of visible light, infrared and depth sensors and the like, and performs de-weighting and resolution calibration; the data enhancement unit implements geometric transformation and color adjustment based on gesture features; the feature extraction unit identifies contour edges, textures and joint points; and the preprocessing output unit verifies the data quality and packages and outputs the data in a standardized manner. According to the system, through multi-source data fusion, semantic perception enhancement and multi-dimensional feature extraction, the training data quality of a gesture recognition model is remarkably improved, the problems of data isomerism, feature distortion and the like in a traditional method are solved, and the system has the advantages of being high in processing efficiency and adaptability.

This invention discloses a joint scheduling system and method for drainage network pumping station groups based on the SWMM model, belonging to the field of drainage network scheduling technology. The system includes a hydraulic modeling module, an optimal scheduling model construction module, an objective function and constraint setting module, an initial condition input module, an SWMM model engine driving module, a simulation-optimization loop module, and a scheduling scheme output and feedback module. The method constructs a hydraulic model of the drainage network and pumping station groups, establishes an optimal scheduling model based on artificial intelligence optimization algorithms using a simulation-optimization, feedforward-feedback mode, and outputs the optimal scheduling scheme through multiple rounds of simulation-optimization loop iterations, while also providing feedback adjustments. This invention overcomes the shortcomings of existing technologies, such as low optimization efficiency, poor real-time performance, and difficulty in handling multi-objective and multi-constraint problems. It achieves globally optimal or near-optimal real-time control of complex drainage systems, improving the operating efficiency, reliability, and adaptability of drainage systems, and reducing energy consumption and overflow risks.

The invention discloses a data center user information dynamic management system based on a distributed architecture. The system comprises a distributed architecture layer, a core function module layer and a data interaction layer, the distributed architecture layer provides distributed computing, storage and communication support for the system. According to the method, tasks are processed in parallel through the distributed computing node cluster, and requests are dynamically distributed in a load balancing manner, so that the problems of low processing efficiency and response lag under the condition of sharp increase of equipment and data volume are solved; based on distributed storage fragmentation storage and redundant backup, the single-point fault risk of concentrated data storage is avoided, and stable operation of the system is guaranteed; cross-regional data real-time synchronization is realized by means of a distributed message queue, and unified management and control of multi-regional data centers are supported; and meanwhile, asset full life cycle traceability is realized through a block chain, the fault early warning accuracy is improved through an LSTM model, energy consumption is optimized through multi-dimensional accounting and an algorithm, and the efficient, safe and energy-saving management requirements of a modern data center are comprehensively met.

The present invention is applicable to the technical field of image recognition, and provides a drug recognition method and device for intelligent hardware, wherein the drug recognition method for intelligent hardware includes: obtaining prescription information, and matching the standard drug image corresponding to the target drug in the prescription information; collecting the current drug image of the current drug, and extracting multiple first partial images in a preset area of ​​the current drug image; extracting the first feature information in the first partial image according to the grayscale distribution in each first partial image; extracting the second feature information in the second partial image in the standard drug image; calculating the total similarity according to the multiple target similarities corresponding to each of the multiple first partial images; if the total similarity is greater than the first threshold, it is determined that the current drug is consistent with the target drug. The present invention significantly improves the efficiency and accuracy of drug management through image processing and feature matching technology, and provides an efficient and reliable drug recognition solution.

This application discloses a time-series data writing method, system, device, and medium, applied in the field of data storage. The method includes acquiring sampling time-series data from multiple consecutive sampling time points for a detection object. The sampling time-series data includes sampling timestamps, sampling measurement value vectors, and sampling metadata. It also involves determining the data type of each sampling time-series data point, including abnormal data, anchor data, and normal fluctuation data; processing the corresponding sampling time-series data based on the data type to obtain target time-series data; and storing multiple target time-series data points hierarchically. This solves the problem in existing technologies where recording all sampling points at a fixed frequency leads to redundant storage of a large amount of slowly changing or invalid data.

The invention discloses a data center resource management method and device, and the method comprises the steps: carrying out the modeling of at least one data center and at least one calculation service, and obtaining a data center model of each data center and a calculation service model corresponding to each calculation service; collecting calculation service information and data center information based on the data center model and the calculation service model; determining a target optimization function of each resource optimization target based on the data center model, the calculation service model and the at least one resource optimization target; based on the calculation service information, the data center information and at least one target constraint condition, performing iterative solution on the target optimization function to obtain solved target service deployment information; and performing resource allocation management on the data center based on the target service deployment information. Through the technical scheme of the embodiment of the invention, data center resource management under the condition of considering the multi-target influence is realized, the reasonability of resource allocation is improved, and the overall performance of the data center is improved.

The invention provides an IPv6 network address acquisition management system and method. The system comprises a configuration unit, a detection unit, an analysis unit, a processing unit, a monitoring unit, a security unit and a management interface. According to the system, comprehensive and intelligent management of the IPv6 network address can be realized through efficient acquisition and management, intelligent processing and optimization, enhanced safety guarantee and a convenient management interface, and powerful support is provided for network operation of an enterprise. Meanwhile, the system and the method have good expandability and flexibility, and can adapt to network environment requirements of different scales and complexities.

The invention discloses a flight test data management system based on a time sequence database, aims to meet management and maintenance requirements of multi-source and multi-type massive high-radix data in a flight test process, and belongs to the field of data management and application of control systems. The flight test data management system comprises a data preprocessing module, a data display and report generation module, a data display module and a database module; the data preprocessing module is used for performing analysis conversion, data interpretation and pre-calculation on the received data; the data display and report generation module is used for performing real-time processing, query, playback, report generation, data frame export, data interpretation and fault diagnosis on the received physical quantity; the data display module is used for displaying various test data physical quantities in different forms; and the database module adopts a time sequence database to realize classified storage management of flight test data, and provides data query and display functions.

The invention relates to a wide-area distributed manned aircraft dynamic power supply network system and a control method, and relates to the technical field of aerospace, wireless charging and aircraft energy supply. The system comprises ground wireless charging tower arrays distributed at intervals along a preset flight corridor, an air mobile receiving subsystem carried on a manned aircraft and a wide-area cooperative scheduling platform, the ground charging tower constructs a continuous or quasi-continuous energy corridor in the air through directional electromagnetic energy emission; and the airborne receiving subsystem adopts a double-source energy management system, and realizes smooth power supply switching and online range extension across the tower footing in the flight process in cooperation with a soft switching strategy of'switching-on and switching-off '. In addition, the system guarantees the electromagnetic safety of the manned cabin through a layered electromagnetic shielding structure and real-time field intensity monitoring. According to the invention, the problem of low efficiency caused by limited endurance and frequent take-off, landing and charging of the manned electric aircraft is effectively solved, and long-distance air cruise and dynamic energy complementation are realized.

The invention discloses a digital power grid total factor data management method and system. The method comprises the steps that total element data are obtained in a digital power grid, power supply indexes of a current area are obtained, and the total element data at least comprise the power grid equipment operation state, the user power consumption behavior and the market supply and demand condition of the current area; fusing the total element data and the power supply indexes to obtain fused power grid data; the fused power grid data is input into a pre-trained data management model, a power grid management adjustment strategy for the current area is output based on the data management model, and the data management model is obtained by training a random forest model according to historical fused power grid data and historical power grid management adjustment strategies; the historical fusion power grid data comprises historical total element data and historical power supply indexes, and the power grid management adjustment strategy of the current area is used for adjusting equipment in a power grid of the current area.

The invention discloses a quick support business collection method and system, a storage medium and a program product, and the method comprises the steps: judging whether a payment mode is mobile third-party payment or not; if the payment is the mobile third-party payment, generating a collection code and sending the collection code to a cashier desk; a third-party payment settlement bill is generated; if the payment is not the mobile third-party payment, generating an enterprise online banking settlement bill; when it is determined that the recharging mode is offline recharging, whether the payment mode is exclusive account recharging or not is judged; if the exclusive account is recharged, creating a plurality of sub-accounts corresponding to the target mother account; sending account information corresponding to each sub-account to a cashier desk; querying a collection flow of each sub-account through the target mother account, and generating a clearing bill of the exclusive account; and if the exclusive account is not recharged, inquiring the collection flow of the fixed bank account, and generating a public-to-public settlement bill. According to the invention, the difficulty of clearing funds of various payment routes is reduced, and the efficiency of financial settlement is improved.