131 results about "Management unit" patented technology

The application discloses a kind of commercial operating place safety detection authentication, evidence storage and public verification system and method, by building multidimensional standardization place safety detection system, detection operation and information upload are completed by merchant end self-service, system is automatically in accordance with unified rules Compliance determination, and tamper-proof solidification evidence storage is carried out to whole-process data, and the compliance certification voucher with effective period is issued for the check-up qualified business store, while generating visual verification mark that can be identified and inquired by outside.This scheme takes single entity store as management unit, realizes periodic authorization control, and can complete data docking and information linkage publicity with online service platform and supervision system.The detection process of the application is standardized and unified, the data is traceable throughout the process, and the verification channel is open and transparent, which makes up for the technical deficiencies of traditional place safety investigation, such as lack of standardization, no evidence storage and no public verification channel, and can provide compliance basis for business subjects, provide objective and unified safety evaluation reference for platform and supervision units, and adapt to the standardized compliance of various commercial operating places.

The present application relates to the technical field of land greening data management, in particular to a land greening system data information management method, comprising: arranging an ecological perception network composed of multiple source sensors in a target administrative region to collect vegetation physiology and soil environment data; carrying out denoising, interpolation preprocessing, standardization and coordinate system conversion in a data processing center to form a standardized basic ecological data set. Based on the data set, an attribute library containing multi-dimensional information such as tree species is constructed with a single plant or a reforestation plot as the smallest management unit, a dynamic three-dimensional green volume voxel model is generated in a geographic information system to reflect the spatial distribution of land greening resources. The model is used to calculate the carbon fixation and oxygen release potential values of different functional divisions, and a planning decision engine is called to generate suggestions for replanting or reforming in low potential value areas. The method effectively improves the data information processing efficiency, calls the planning decision engine to generate land greening implementation suggestions, and quickly and dynamically updates the land greening system data information.

An article management system for managing article data indicating an entity to which an article belongs among a plurality of entities includes a first wireless device installed at a first location, a second wireless device that moves with the article, at least one reading device that reads identification information stored in a wireless device, and a management unit configured to manage the article data, wherein, in a state in which the article data indicates that the article belongs to a second entity related to a second location different from the first location, the management unit is configured to update the article data so that the article data indicates that the article belongs to a first entity related to the first location, provided that a first reading device has read identification information of the first wireless device and identification information of the second wireless device.

The invention provides edge equipment, center equipment, a defect detection method, equipment and a medium. According to one example of the application, the edge device may include an edge detection unit and an edge management unit; wherein the edge detection unit is connected with the edge management unit and is used for acquiring detection data of a to-be-detected product based on configuration data of the to-be-detected product and generating a detection result of the detection data by utilizing a defect detection model; and the edge management unit is used for sending the detection result to the central equipment, so that the central equipment judges that the to-be-detected product has the defect problem.

A system can include a processing device operatively coupled with the one or more memory devices, to perform operations that include writing data to the one or more memory devices and performing one or more scan operations on a management unit containing the data to determine a current value of a chosen data state metric. Each scan operation can be performed using a corresponding predetermined read-time parameter value. The operations can include determining whether the current value of the chosen data state metric satisfies a criterion, and can also include, responsive to determining that the current value of the chosen data state metric satisfies the criterion, selecting a remedial operation by determining whether redundancy metadata is included in a fault tolerant data stripe on the one or more memory devices. The operations can also include performing the remedial operation with respect to the management unit.

A kind of early warning system based on environmental meteorological parameter to photovoltaic flexible support cable includes the environmental data acquisition unit connected in turn, data transmission and storage unit, data processing and analysis unit, early warning unit;Environmental data acquisition unit acquires original data after transmission to data processing and analysis unit by data transmission and storage unit, data processing and analysis unit send result to early warning unit after processing data, generate early warning information and output after output;It also includes system configuration and management unit, system configuration and management unit are communicated with each unit data respectively to realize whole-process management and control.The present application solves the problems of low efficiency of manual inspection, traditional sensor is easily disturbed, lack of early warning capability in existing photovoltaic flexible support cable monitoring, monitoring is comprehensive and reliable, analysis is accurate, operation and maintenance is efficient and low cost, and adaptability is strong.

This invention discloses a big data-based line loss anomaly analysis and operation monitoring system, relating to the field of power system technology. It includes a region division unit, a data acquisition and analysis unit, a virtual model building unit, and a platform sharing and management unit. The region division unit is electrically connected to the data acquisition and analysis unit and the virtual model building unit. The virtual model building unit is also electrically connected to the platform sharing and management unit. In the process of line loss anomaly analysis and monitoring, this invention pre-divides the power grid region and builds a virtual simulation model based on the divided region. Within the constructed simulation model, corresponding regional sub-models are built for each divided region. After data acquisition and analysis, the results are directly reflected in the constructed model, allowing for feedback on the specific situation within the region.

An abnormality detection system includes a measurement unit configured to acquire at least three-dimensional data indicating a distance to a target and a shape of the target by performing measurement, a central management unit configured to receive the three-dimensional data acquired by the measurement unit from the measurement unit, and a measurement data evaluation unit configured to hold in advance reference three-dimensional data, the reference three-dimensional data being the three-dimensional data to be a reference acquired by the measurement unit in the past, evaluate whether a difference between the three-dimensional data acquired by the measurement unit and the reference three-dimensional data is greater than or equal to a threshold value, and transmit an alarm to the central management unit when a result of the evaluation indicates that the difference is greater than or equal to the threshold value.

This invention belongs to the field of power system control technology. It discloses a system and method for the linkage between sub-core load adaptation and main core power replenishment in a dual-core fused power supply. The system includes: calculating the main core's instantaneous power replenishment margin based on the current state of charge of the main core management unit and the real-time available output capacity of the main core converter; sending a low-voltage detection pulse sequence to the sub-cores and simultaneously acquiring the returned damping attenuation waveform and instantaneous leakage current value; determining a dynamic access threshold, comparing the current real-time load power with the dynamic access threshold, and generating a continuous load adaptation tag and a sub-core locking identifier; establishing a sub-core priority power replenishment sequence, and immediately tightening the access conditions of the sub-core priority power replenishment sequence when the instantaneous power replenishment margin is lower than a preset warning value; activating a fast power replenishment channel for sub-cores that meet the preset power replenishment triggering conditions, while simultaneously performing dynamic power backtracking on unlocked sub-cores until the main core's instantaneous power replenishment margin recovers to or above the safety threshold; significantly improving energy efficiency.

This invention discloses a three-dimensional state assessment and closed-loop feedback system based on multimodal physiological signals, comprising a healthy state nurturing subsystem, a core monitoring subsystem, a state control unit, and a unified user profile management unit. The core monitoring subsystem constructs a three-dimensional gradient assessment architecture encompassing physiological, emotional, and cognitive aspects, outputting state indices hierarchically. The healthy state nurturing subsystem, through a three-source driven and seven-stage progressive module, achieves phased task nurturing and automatic unlocking. The system features dual operating modes: local offline and authorized cloud encrypted upload, balancing data privacy with in-depth analysis. A unified user identifier links data from both systems, generating a state time-series graph. This invention solves the technical problems of traditional solutions, such as single assessment dimensions, lack of hierarchical progressive analysis, weak privacy control, and fragmented data. It achieves multimodal fusion assessment, three-dimensional hierarchical recognition, hierarchical privacy control, and full-cycle closed-loop adjustment, and is adaptable to smart wearables, smart cushions, and other terminal devices.

This invention provides a module information management system and a module information management method, which can manage the information of multiple modules used in multiple processing units simultaneously. One embodiment of the module information management system includes: a terminal having a module version information storage unit (333) that stores version information of all module units (331) stored in the terminal, and a control unit (342) that reads version information of module units from the module version information storage unit (333) and sends it to an overall management unit (5); and an overall management unit having a version information database that manages version information of all module units (331) sent from multiple terminals.

This invention discloses a modular power metering box for high-altitude and cold regions, belonging to the field of power metering equipment technology. The proposed solution includes a box frame module, functional module components, a standardized interface system, an intelligent management unit, and an intelligent algorithm system. All modules are electrically connected across the entire chain, and the intelligent algorithm system enables intelligent closed-loop management of the metering box. The box frame module is a low-temperature resistant standardized universal frame, capable of withstanding temperatures ≥-40℃ without brittleness or deformation. This modular power metering box for high-altitude and cold regions solves the problem of extreme cold adaptation with its low-temperature resistant structure and intelligent temperature control, improves operation and maintenance efficiency with plug-and-play modules, and achieves safety management and rapid fault diagnosis with four major algorithms. It also possesses good scalability, achieving overall cold-resistant reliability, convenient installation, intelligent efficiency, and scenario compatibility. It comprehensively addresses the pain points of traditional equipment, significantly improving power metering safety and operation and maintenance efficiency in high-altitude and cold regions.

A data item is programmed to a first set of physical management units (MUs) associated with a memory sub-system in accordance with a first pass programming operation of a multi-pass programming scheme. An entry of a data structure is updated to include a mapping that associates a first physical address associated with the first set of physical MUs with a set of virtual MUs associated with the memory sub-system. A detection is made that a second pass programming operation of the multi-pass programming scheme is initiated to program the data item to a second set of physical MUs associated with the memory sub-system. Responsive to the detecting, the entry of the data structure is updated to include an additional mapping that associates the set of virtual MUs with a second physical address associated with the second set of physical MUs.

This increases the likelihood that storage at a tier relatively close to the computing resources is holding the data at the time it is used to execute a job. [Solution] Before starting the execution of job 102, the job analysis unit 300 analyzes the workflow of job 102 to identify the data that the computing resource 210 will read when executing job 102. The pre-read management unit 1200 controls the pre-reading from secondary storage 240 to primary storage 230 for data identified by the job analysis unit 300 for job 102 where the actual data 920 does not exist in primary storage 230 but does exist in secondary storage 240.

The application belongs to the technical field of agricultural planting, and provides a smart agricultural planting control method and system based on cloud computing, which comprises the following steps: extracting actual planting result data under historical cloud planting instructions, dividing a field into a plurality of management units according to the same planting area, analyzing the fruit malformation rate of each management unit under the current cloud planting instruction, and evaluating whether cloud algorithm reconstruction is needed; after determining that cloud algorithm reconstruction is needed, extracting environment parameters related to crop growth, analyzing and determining the correlation degree between the environment parameters and the fruit malformation rate, and identifying core correlation parameters that have a great influence on the fruit malformation rate of crops; the application divides homogeneous regions through space-time clustering, customizes special planting instruction models and environment suitable intervals for different regions, solves the problem that traditional global unified instructions cannot adapt to the soil and environment differences in the field, and can effectively reduce the fruit malformation rate.

The application belongs to the technical field of data processing, and particularly relates to an intelligent prediction and evaluation system based on wire and cable insulation aging. The system comprises: a data acquisition preprocessing unit, which is used for mapping a line topology into graph structure data; a physical priori knowledge base management unit, which converts an aging mechanism into a logical constraint item; a double-flow feature extraction processor, which utilizes a graph neural network and a long short-term memory network to capture space-time features and combines the logical constraint to perform physical reduction; an intelligent prediction core execution mechanism, which performs transfer learning through meta-learning and eliminates environmental interference by using causal inference; and a multi-dimensional health degree fusion evaluation output unit, which adaptively adjusts feature weights and generates a health degree curve and a residual life distribution. The application improves prediction robustness and interpretability, and provides precise support for cable life cycle management.

A coupling strength update device is configured to comprise: a coupling strength management unit (3) that manages the coupling strength between a first neuron, which is a certain neuron among a plurality of neurons included in a spiking neural network, and a second neuron, which is a neuron that acquires a spike signal outputted from the first neuron upon firing of the first neuron; an elapsed time management unit (1) that manages the elapsed time since the spike signal was outputted from the first neuron; and a firing rate management unit (2) that manages the firing rate, which is a rate at which the first neuron fires. In addition, when the second neuron fires, the coupling strength management unit (3) of the coupling strength update device updates the coupling strength between the first neuron and the second neuron on the basis of the elapsed time managed by the elapsed time management unit (1) and the firing rate managed by the firing rate management unit (2).

This invention relates to a smart water management dynamic monitoring system based on digital twins. The system includes a field sensing unit, an edge aggregation unit, a data reliability judgment unit, an anomaly isolation unit, a twin model update unit, a dynamic monitoring output unit, and a model baseline management unit. The data reliability judgment unit generates a reliability level based on the data source status, sampling continuity, time synchronization, numerical fluctuation characteristics, and the operating baseline. The anomaly isolation unit isolates low-reliability data and outputs valid updated data. The twin model update unit performs digital twin model updates based on the valid updated data. The dynamic monitoring output unit outputs monitoring results and anomaly warning results. This invention can reduce the interference of low-reliability data on the model update process, improve the stability of digital twin model updates, and enhance the reliability of monitoring results.

A control device (10) according to the present disclosure includes: a setting unit (132) which presets, between a plurality of optical transmission devices (3), an HO ODU path capable of accommodating an LO ODU path, which is an optical path between clients (2); and a management unit (134) which, upon receiving a request to set the LO ODU path between the clients (2), determines whether the LO ODU path requested to be set can be accommodated in the preset HO ODU path. When it is determined that the LO ODU path can be accommodated in the preset HO ODU path, the setting unit (132) sets the LO ODU path accommodated in the HO ODU path.

This invention discloses an intelligent biological reaction monitoring system and method, belonging to the field of intelligent monitoring. The system includes: a reaction stage segmentation unit for segmenting and determining multiple reaction stages; a variable relationship mining unit for determining dominant and auxiliary variables, mining linear relationships between variables, coordinating insensitive loss functions, and supervising the training of a soft monitoring module; a continuous monitoring and acquisition unit for configuring monitoring equipment groups, performing continuous monitoring, and determining reaction monitoring data; a data analysis and screening unit for preprocessing data, performing linear analysis and abnormal reaction localization, and determining valid monitoring data; a game equilibrium decision-making unit for performing game equilibrium decisions on abnormal reaction identifiers and determining reaction regulation strategies; and a reaction monitoring management unit for responding to regulation strategies, performing feedback monitoring analysis and reaction monitoring management, improving the accuracy of biological reaction monitoring, achieving real-time online monitoring, and intelligently regulating abnormal situations.

The application discloses a cultural hall virtual roaming and riding safety management and control system, and belongs to the technical field of safety management and control. The specific implementation mode of collecting images and related information of each node position in a scene can be as follows: panoramic equipment is used to collect images and related information at each node position in the scene. The related information includes the GPS coordinates, compass information, real scene map position and corresponding id record of the current position node. The detailed information on the node specifically includes voice, pictures, text description, set node specific latitude and longitude coordinates and compass direction. A terminal management unit is used to manage the terminal equipment of the system. The system further comprises a maintenance unit used for self-maintenance of the system. The system can realize the functions of automatic multi-directional real-time updating according to the coordinates and ID and automatic system maintenance.

To provide users with more appropriate recommendations regarding the purchase of goods. [Solution] An information processing device having an acquisition unit that acquires account data including sales price data relating to the price of goods, inventory data of goods owned by the user, purchase intent data relating to desired goods that the user wishes to purchase, and payment data of the user; a management unit that manages the at least one data and the account data; and an output unit that outputs recommendation information to the user based on the at least one data and the account data.

A communication system includes a communication unit configured to perform processing related to communication of a user device and a management unit configured to manage subscriber identification information that is subject to communication restriction. The communication unit restricts communication of a restricted user device associated with subscriber identification information that is managed as being subject to communication restriction.

To provide a data evaluation system, data evaluation method, and program that can evaluate data that does not have an explicit relationship with other data. [Solution] The data evaluation system according to this disclosure comprises a management unit that manages the history information of one or more data to be evaluated; an extraction unit that extracts related information of the history data, including at least one of the source data or derived data of the data to be evaluated, based on the history information; and an evaluation unit that evaluates the data to be evaluated based on the extracted related information.

A control apparatus and a monitoring method. The control apparatus comprises a tag unit, a management unit, a feature extraction unit and an anomaly determination unit. The tag unit is configured to obtain a plurality of pieces of segment data from a plurality of pieces of original data, and analyze each piece of segment data so as to respectively define tags for the segment data. The management unit is coupled to the tag unit, and is configured to receive the segment data from the tag unit. The management unit is configured to classify part of the segment data having the same tag into a database as a plurality of data points in the database. The feature extraction unit is coupled to the management unit, and is configured to analyze a plurality of feature values of the data points. The anomaly determination unit is coupled to the feature extraction unit, and is configured to compare the feature values with an anomaly threshold value, so as to generate notification information.

The application relates to the technical field of intelligent fire station, in particular to an intelligent modular prefabricated cabin type tunnel fire station terminal dynamic early warning system based on edge computing and multi-source sensing. The system comprises a multi-source data acquisition unit, an edge computing processing unit, an intelligent early warning analysis unit and a data management unit. The edge computing processing unit is used for real-time fusion and dynamic modeling of the collected data, multi-source data are fused based on Kalman filtering and LSTM, and a risk evolution model with fast and slow dynamic components is constructed by adopting singular perturbation theory. The improved long short-term memory network adopts a parallel GRU branch to construct a multi-scale feature extraction architecture: a short-term branch captures second-level fast features such as flame flickering and smoke concentration sudden change, a long-term branch captures minute-level slow change trends such as temperature gradient rise, and an adaptive attention mechanism is combined to give dynamic weights to different time scale features. The design improves the pertinence and accuracy of feature extraction in complex scenes.

This utility model belongs to the field of communication terminal technology and provides a handheld Beidou communication terminal system, including a mobile network MCU unit, a Beidou positioning unit, a Beidou short message unit, a charge / discharge management unit, and a water-fall alarm unit. The mobile network MCU unit enables control of the handheld Beidou communication terminal system and mobile network communication, while the Beidou positioning unit and Beidou short message unit respectively implement Beidou positioning and Beidou short message communication. The charge / discharge management unit includes a charge / discharge management chip, a battery, and a solar panel. In addition to battery power, the solar panel further enables solar power generation, ensuring endurance in outdoor environments. Simultaneously, the water-fall alarm unit design ensures effective water detection. When both water-fall detection terminals are simultaneously immersed in water, a switch is activated, sending a water-fall signal to the mobile network MCU, achieving effective water-fall detection without manual operation and further ensuring user safety.

The application discloses an AI machine room system and an intelligent operation and maintenance method thereof, and the system comprises a civil engineering module, a power supply module, an electromechanical module, a smart machine room SU system and a machine room integrated management system; the civil engineering module comprises an aerogel wall body, a prefabricated assembly type room body and a base station tower pole integrated structure; the power supply module comprises an intelligent PDU, an intelligent small bus, a photovoltaic system and a light storage system; the electromechanical module comprises an elastic heat bin, a self-cleaning intelligent fresh air system, an evaporative cold water curtain fresh air system, a non-powered air cap, a direct current heat exhaust system and a heat energy inter-row air conditioner; the smart machine room SU system comprises a personnel management unit, a device management unit, an environment management unit and an intelligent maintenance unit; and the machine room integrated management system comprises a data acquisition and monitoring unit, a data analysis and decision support unit, a resource optimization and scheduling unit and a safety control and early warning unit. The application solves the bottleneck problems of a traditional data center in terms of high energy consumption, high carbon emission, high operation and maintenance cost and low elastic expansion capacity.