12results about How to "Meet management needs" patented technology

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 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 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.

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.

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 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 present application relates to a configuration file-based hot patch making method, comprising: adding a patch_conf parameter for storing a storage path of a hot patch configuration file; customizing the hot patch configuration file; obtaining and parsing the configuration file to obtain a hashmap type variable; sequentially returning corresponding file contents from the hashmap type variable according to required parsed key values; checking the returned file contents; further processing the returned file contents to make a hot patch using a hot patch making command. The present application is based on a configuration file, can simplify a complex making process, is more in line with hot patch making and management requirements, and can standardize made management hot patches.