616 results about "Remote management" patented technology

The invention discloses a three-dimensional energy carbon data visualization terminal and a use method thereof. The visualization terminal comprises a data acquisition module, a data processing module, a visualization display module, an interaction control module and a communication transmission module. The data acquisition module acquires a voltage signal, a current signal and a carbon emission signal of the park power equipment in real time; the data processing module performs energy-carbon coupling analysis on the original data to generate an analysis result; the visual display module dynamically displays the energy and carbon monitoring data, the electric power parameter waveform change trend, the incidence relation between energy consumption and carbon emission and abnormal event information; the interaction control module receives a user instruction and adjusts display content; and the communication transmission module performs data interaction with a remote management platform. Through multi-module cooperation, real-time acquisition, coupling analysis and three-dimensional dynamic visualization of energy and carbon data are realized, comprehensive energy efficiency and carbon efficiency management support is provided for an industrial park, and the decision efficiency of energy optimization and carbon emission regulation is improved.

The invention discloses a collaborative anti-interference access control system based on face recognition, and belongs to the technical field of access control systems. The cooperative anti-interference access control system comprises a multi-mode sensing acquisition module, an image preprocessing and anti-interference module, a face recognition and living body verification module, a cooperative control and decision module, a remote management and iteration module and an access control execution module. According to the access control system, the working mode can be adjusted in real time according to environmental changes, the influence of various interference factors is effectively resisted, a more stable and reliable face recognition access control service is provided for a user, the complementarity of multi-source data can be fully utilized by the access control system, the collected target image is optimized and processed, and the user experience is improved. The influence of interference factors such as light and noise on the image is reduced, the reliability and the accuracy of data are effectively improved, and the anti-interference capability and the face recognition accuracy of the system in a complex environment are enhanced.

The invention provides a multi-protocol Internet of Things sensing method and system based on remote management, and the method comprises the steps: firstly building a multi-protocol adaptive association system, associating a remote management platform with communication protocol types supported by each Internet of Things sensing terminal, then obtaining a multi-protocol sensing data set, and carrying out the protocol interaction analysis processing, the method comprises the steps of obtaining protocol interaction feature information, then calling a pre-trained protocol scheduling AI model to evaluate the feature information, generating a multi-protocol scheduling instruction to adjust protocol communication parameters, and dynamically optimizing sensing parameters according to the multi-protocol scheduling instruction to obtain an optimized configuration set; and finally, the optimized configuration set is fed back to a remote management platform to execute remote sensing control operation. Therefore, the multi-protocol Internet of Things sensing terminal in ecological environment monitoring can be efficiently, stably, intelligently and remotely managed.

The invention discloses a portable operation and maintenance gateway management and control method and system based on dynamic monitoring feedback, and relates to the field of portable operation and maintenance gateway management and control, and the method comprises the steps: enabling a portable operation and maintenance gateway to be connected between an operation and maintenance terminal and a power control system in series, and carrying out the dual authentication of personnel and equipment; after authentication is passed, operation and maintenance are started, identity, time, position and gateway state of operation and maintenance personnel are collected and monitored in real time, reference information is matched to obtain a matching result, operation and maintenance behaviors are monitored in real time, multi-source data are collected, a management and control strategy is dynamically generated based on risk assessment, and a safety response is triggered; when the equipment is abnormal, an emergency repair mode is switched, non-core authority is relaxed, and whole-course auditing is carried out; the data in the whole operation and maintenance process is uploaded to a remote management platform after structured arrangement, and multi-channel synchronization and delayed uploading are supported when the network is abnormal. The system comprises an authentication module, a risk assessment module, a strategy execution module and a data synchronization module, power operation and maintenance whole-process safety management and control are achieved, efficiency and safety are both considered, and operation traceability is guaranteed.

The invention discloses an unmanned aerial vehicle electronic identity card identification and management method based on 4G / 5G cloud control, and belongs to the technical field of unmanned aerial vehicle traffic control systems, and the method comprises the steps: obtaining an initial connection request sent by an unmanned aerial vehicle, and building an initial communication link; an identity inquiry instruction is generated and sent to the unmanned aerial vehicle through the initial communication link and signed to generate a response signature; and calling a public key pre-bound with the identity identification code to decrypt and verify the response signature, generating an identity confirmation voucher to upgrade the attribute of the initial communication link into a high-credibility management channel, performing position credibility evaluation and comprehensive decision, and generating a remote management and control instruction to manage the unmanned aerial vehicle. According to the method, a mode of combining challenge response type dynamic identity authentication and multi-source position information cross comparison is adopted, a high-credibility management and control channel between the unmanned aerial vehicle and the cloud platform can be established, and the comprehensive credibility state of the unmanned aerial vehicle is evaluated in real time, so that the safety and reliability of traffic management and control of the unmanned aerial vehicle are improved.

The invention discloses an abnormal behavior detection method for a smart terminal remote management platform, which comprises the following steps: collecting multi-dimensional data streams of hardware state, software behavior, network communication and user operation in real time, dividing dynamic factors into three layers and nine classes, generating multiplicative / additive dynamic thresholds by utilizing regression analysis, and realizing abnormal association detection in combination with a multi-dimensional model. And a threshold value and a strategy are optimized in a closed-loop manner through historical data. According to the method, the limitation of a traditional fixed threshold is broken through, the problems of false detection and missing detection in dynamic scenes such as hardware aging and environment change are solved through dynamic factor modeling, the complex anomaly positioning capability is improved by utilizing multi-dimensional feature fusion, and intelligent operation and maintenance are realized by virtue of confidence classification and a strategy self-optimization mechanism. The method is suitable for intelligent terminal equipment in education, medical treatment and other scenes, and the anomaly detection accuracy and the system adaptability of a remote management platform are remarkably improved.

The invention provides a remote management method of a computing card with a built-in network communication unit and the computing card, the computing card is internally provided with the independent network communication unit, and the network communication unit establishes and maintains independent network connection with a remote management platform; the network communication unit collects running state information and network neighbor information of the current computing card, and reports the running state information and the network neighbor information to the remote management platform through the independent network connection; the network communication unit receives a communication control command issued by the host and is used for transmitting TCP / IP data. The computing card can run independently of the host, multiple management of the running state and the network topology can be achieved, the communication capacity is improved, and the hardware integration degree is high.

The invention discloses an interface design and implementation method of a BMC (Baseboard Management Controller) remote management system based on Redfish. According to the method, a multi-module resource model conforming to Redfish specifications is constructed in a baseboard management controller (BMC), management modules including Systems, Chassis, Managers, Account Service, Session Service, TaskService, Update Service, FRU and the like are integrated, and a unified RESTful interface architecture is formed. The method supports standardized access to management functions such as a server system state, hardware assets, a user account, remote control and firmware upgrading, and meanwhile, a unified authentication mechanism and an asynchronous task mechanism are introduced, so that an efficient and safe out-of-band management process is realized. The system has the advantages of uniform interface, clear structure, safety, controllability, high expandability and the like, and is suitable for various data center and server remote management scenes.

The invention relates to the technical field of communication equipment operation and maintenance, in particular to a serial port equipment firmware upgrading method and system. The serial port equipment firmware upgrading method comprises the steps that an upgrading task instruction issued by a remote management platform is received, and after equipment identity verification and upgrading file integrity verification are executed, system protection measures are started; creating a security isolation sandbox environment, forbidding a high-risk function module in a script execution environment, and defining addressing parameters of target serial port equipment; standard scripts are loaded, and serial port read-write, file operation and state reporting type security interaction interfaces are injected; calling a mode switching function of the standardized script, so that the serial port equipment is switched to a firmware upgrading mode from an operation mode; cyclically calling a data transmission function of the standardized script to transmit firmware data in blocks, and synchronously implementing timeout monitoring; and after upgrading is completed or abnormal interruption occurs, the security isolation sandbox environment is destroyed, the original business is recovered, and an upgrading result is reported to the remote management platform.

The invention discloses a dual-mode response type postoperative infection early-warning intelligent dressing and a preparation method thereof, which are urgent for a novel postoperative dressing with precise infection monitoring, intelligent drug release, excellent material performance, reliable intelligent remote management and low-cost mass production potential. The invention aims at solving the problems of the existing dressing in all directions through an innovative technical scheme. According to the dual-mode response type postoperative infection early-warning intelligent dressing and the preparation method thereof, infection signals are accurately captured, intervention is performed in advance, through cooperative monitoring of the pH sensor (the detection error is + / -0.1) and the temperature sensor (the precision is + / -0.1 DEG C), compared with a traditional single-mode dressing, infection symptoms (for example, the pH is larger than 7.5, and the temperature is larger than 37.5 DEG C) are found 12-48 hours earlier, the infection early-warning accuracy rate is increased to 95% or above, and the application range is wide. The self-calibration technology has the advantages that background interference of double emission silicon points (427nm / 500nm fluorescence peaks) is eliminated through the fluorescence intensity ratio, errors of single-wavelength detection are avoided, and the method is suitable for a complex wound environment.

The present disclosure relates to utilizing a hierarchical network communication system to efficiently manage and monitor a controlled hierarchical network. In particular, the hierarchical network communication system utilizes gateway services embedded among various architecture levels of a controlled hierarchical network to facilitate secure communications between levels of the hierarchical network as well as with an authorized external computing device or computing system. In various instances, the gateway service includes various components and elements that facilitate inter-network level communication as well as remote management, including monitoring, configuring, and upgrading components and resources at each level of the controlled hierarchical network. Indeed, the hierarchical network communication system facilitates the remote management of a controlled hierarchical network while upholding the strict security and communication protocols required for networks adhering to the Purdue Reference Architecture Model, ISA-95 standards, and ISA-99 standards.

The invention relates to the technical field of data processing, in particular to a remote management system for experimental detection data of a traffic road section, which comprises a state acquisition and occupancy calculation module, a time sequence storage structure, a state acquisition and occupancy calculation module and a state acquisition and occupancy calculation module, the fluctuation characteristic gradient analysis module calculates the difference between the current occupancy rate and the historical occupancy rate to generate a fluctuation degree value, the sampling period dynamic decision module compares the fluctuation value with a threshold value to generate a target sampling interval, and the hardware servo and data packaging module adjusts the scanning frequency and generates a detection data packet. According to the method, a time sequence storage structure is constructed, the traffic flow fluctuation degree is quantified, the sampling interval is intelligently decided according to the fluctuation numerical value, the scanning frequency is adjusted in real time, the frequency is reduced to reduce redundancy when the traffic flow is stable, sampling is encrypted to capture features when fluctuation is violent, the data integrity is guaranteed, and the storage and transmission pressure is reduced. And efficient utilization of monitoring resources is realized.

Systems and methods provide efficient access to electronic data capture (EDC) and electronic medical record (EMR) data for monitoring clinical research. A multi-tenant clinical research platform is configured to support remote management of clinical research sites based on EDC and EMR data. The platform is configured to access EDC data from an EDC data store, access related EMR data from an EMR data store that is separate from the EDC data store, and use mappings between the EDC data and the EMR data to contextually integrate the EMR data into a clinical research review workflow provided by the platform. In some embodiments, the platform is configured to prevent persistence of the EDC data and / or EMR data within the platform. The platform provides remote, on-demand controlled access to the EDC data and the EMR data to facilitate offsite reviews of clinical research sites based on EDC and EMR data.

The agricultural condition integrated monitoring device comprises an electric pickup truck serving as a vehicle-mounted platform, an upper-layer mounting plate is mounted at the top of a cargo compartment of the electric pickup truck, an unmanned aerial vehicle cabin is arranged on the rear portion of the upper end face of the upper-layer mounting plate, and an insect condition station is arranged on the front portion of the upper end face of the upper-layer mounting plate; a vehicle-mounted holder ball machine is installed on the top of the insect situation station, a wind direction sensor, a wind speed sensor, a photosynthetically active radiation sensor and an illuminance sensor are installed on the top of a cockpit of the electric pickup truck through corresponding profile supports, and a server square cabin is arranged between the lower end face of an upper-layer installation plate and the interior of a cargo compartment and used for data exchange, transmission and storage among multiple devices. And carrying out real-time calculation processing and fusion analysis on the multi-source data. The unmanned aerial vehicle cabin, the four-condition monitoring equipment and the edge computing or server module are uniformly integrated on the vehicle-mounted platform, so that the cooperative operation of the vehicle-mounted intelligent unmanned aerial vehicle cabin and the unmanned vehicle-mounted platform and the high-performance data processing and remote management are facilitated.

The utility model discloses a monitoring device for remote management of a photovoltaic power station, which comprises a supporting main body assembly, a connecting cylinder is inserted into the top end of the supporting main body assembly, a supporting seat is fixedly connected to the circumferential outer wall of the connecting cylinder, a camera is rotatably connected to the top of the supporting seat, and two springs are fixedly connected to the outer wall of the bottom of the camera. The bottom end of the spring is fixedly connected with one end of the supporting seat, the outer wall of one end of the camera is rotationally connected with two connecting rods, the other ends of the two connecting rods are jointly rotationally connected with a connecting plate, a sliding seat is fixedly connected between the two ends of the connecting plate, and the sliding seat is slidably connected with the supporting seat in a sleeved mode. When the camera is adjusted, the connecting rod is driven by the camera to rotate, so that the sliding seat is pushed to move on the supporting seat, then the connecting plate is fixed by using the fastening screw, the angle of the camera is fixed, the angle of the camera is further fixed quickly, and convenience and rapidness are achieved.

The invention discloses an oil and gas recovery remote monitoring and management system based on the Internet of Things, and the system comprises a data collection module which is used for collecting the working condition parameters of oil and gas recovery equipment through a multi-dimensional sensor network when the operation state of the oil and gas recovery equipment is monitored; the analysis processing module is used for analyzing the working condition parameters based on a preset working condition threshold value and an operation model to obtain an operation state analysis result, and the operation state analysis result comprises the operation state and efficiency of the oil and gas recovery system; and the remote management module is used for establishing a remote management mechanism according to the operation state analysis result and realizing intelligent control and safety monitoring of the oil gas recovery system. An efficient remote management mechanism is established, and the system has important significance in improving the operation efficiency, safety and environmental protection performance of the oil gas recovery system.

The utility model discloses an Internet of Things tunnel interval controller combined with a digital microwave radar, and the controller comprises a radar module which is used for obtaining traffic flow information in a non-contact manner; the control module is used for executing logic judgment and generating a control instruction according to the traffic flow information acquired by the radar module; the data storage module is used as a nonvolatile storage space of the Internet of Things tunnel interval controller; the radio frequency communication module is used for realizing networking and remote management through an Internet of Things communication protocol; the power supply module is used as a power supply basis of the Internet of Things tunnel interval controller, and the power supply module is connected with the radar module, the control module, the data storage module and the radio frequency communication module; a tunnel interval control solution with high integration level, accurate vehicle detection, intelligent dimming decision, flexible wireless communication and high-reliability data management is jointly realized.

This invention discloses a meter reading system and method based on dual-mode communication, relating to the technical field of meter reading systems and methods. The system comprises: a dual-mode communication module with intelligent switching on demand for data, and NB-IoT with strong penetration and long-range coverage; a BLE module with high speed, low power consumption, and fast switching; a smart meter module with a high-precision metering chip for precise energy measurement, large-capacity storage of historical data, and a protective housing for adaptability to harsh environments; a data processing and storage module with a high-performance processor for data compression and processing, and an SSD with large-capacity storage and redundant backup; a user interaction module with a large LCD display for clear electricity usage information, convenient operation via buttons or touchscreen; and a remote management and monitoring module. This invention integrates innovative technologies such as dual-mode communication, high-precision metering, intelligent switching, and convenient interaction, as well as power line carrier backup and fault warning and diagnosis, to improve meter reading efficiency, accuracy, and reliability, contributing to the development of smart grids.

The invention discloses a modularized liquid-cooled water distribution and collection device integrated with a flow self-checking function, and particularly relates to the technical field of liquid-cooled systems.The modularized liquid-cooled water distribution and collection device comprises a water inlet main pipe and a water return main pipe, a connecting support is arranged on one side of the water inlet main pipe, the water return main pipe is arranged on one side of the connecting support, and first connecting ports are formed in the outer wall of the water inlet main pipe and the outer wall of the water return main pipe; a second connector is arranged below the first connector, threads are arranged on the outer wall of the first connector, the first connector is connected with a heat dissipation assembly through the threads, a fixing hole is formed in the outer wall of the heat dissipation assembly, a modular replacement structure is arranged on one side of the fixing hole, and a flow detection module is arranged on one side of the modular replacement structure. A branch pipeline is arranged on one side of the flow detection module, and the reliability, the maintenance convenience and the operation efficiency of the system are remarkably improved through real-time flow monitoring and automatic response, modular quick release design and visual remote management.

The invention relates to the technical field of medical information management, in particular to a chronic disease patient home nursing remote management system which comprises a volatility analysis module, a symbol recognition module, a correlation analysis module, a task decoupling module and a nursing task generation module. According to the invention, by analyzing the fluctuation amplitude of the continuously collected physical sign data in the specific time window, the short-term sudden change trend which cannot be revealed by single-time manually reported data can be explored, and the data change direction is further symbolized to identify a continuous change mode with clinical significance; and the time overlapping degree of the continuous sudden change time periods of different physical sign data can be calculated, so that the synchronous association reaction among various physical sign indexes is accurately identified, the potential composite physiological risk is revealed, and the dependency decoupling and execution sequence reconstruction of the high-risk task are realized based on the quantitative evaluation of the task emergency degree and the delay degree.

The invention discloses a transformer substation relay protection equipment constant value remote modification double-confirmation method and system. The method comprises the following steps: receiving a modification instruction of a dispatching master station and generating a dynamic multi-dimensional verification vector; acquiring on-site multi-source sensing data through a near field communication protocol cluster; establishing a security situation assessment model to perform multi-dimensional risk assessment; carrying out multi-modal fusion authentication based on a deep learning algorithm; fixed value modification rehearsal verification is carried out through a digital twin system; issuing an instruction through the security encryption channel and monitoring the equipment state in real time; and finally, writing the whole-process data into the block chain through a consensus mechanism to generate a traceable log. The system correspondingly comprises an instruction analysis module, a verification vector generation module, a multi-source perception acquisition module, a security evaluation module, a multi-mode authentication module, a digital twin rehearsal module, a security execution monitoring module, a block chain recording module and the like. Through multiple security verification and an intelligent decision-making mechanism, the security, reliability and traceability of constant value modification operation are remarkably improved, misoperation and hostile attacks are effectively prevented, and the method is suitable for constant value remote management of an intelligent substation and a regional power grid.

The invention relates to the technical field of electronic design automation, and provides an intelligent three-dimensional design optimization system for an ink-jet circuit board. The system comprises a field programmable gate array core control module, a microcontroller co-processing module, a multi-channel stepping motor driving module, a multi-mode communication interface module, a sensor feedback and state monitoring module and a three-dimensional layout optimization structure. High-precision real-time control and management are realized through heterogeneous cooperation of the programmable gate array core control module and the microcontroller cooperative processing module; in cooperation with multi-channel stepping motor driving, multi-mode communication and sensor feedback, a three-dimensional layout optimization structure is used for carrying out system space optimization on components, signals and a power supply, and heat dissipation, electromagnetic compatibility and signal integrity are remarkably improved. According to the system, the control precision and the real-time monitoring and remote management efficiency are effectively improved, the response speed, the operation stability and the maintainability of the system are enhanced, and high integration level and high reliability are achieved.

The invention relates to the technical field of plant management, and discloses a chaenomeles speciosa remote management and data modeling method based on a cloud collaborative architecture. The method comprises the following steps: firstly, receiving begonia growth environment data collected by terminal equipment, and carrying out standardized preprocessing and multi-source data fusion analysis to obtain a growth feature entity candidate list and a non-feature data fragment; after a first to-be-modeled data entity is extracted from the candidate list, a plurality of matched candidate data entity entries are extracted from the cloud collaborative knowledge base, the candidate data entity entries and the non-feature data fragments are input into a collaborative disambiguation model, semantic-level collaborative aggregation analysis is carried out with the non-feature data fragments as contexts, semantic aggregation coding features are obtained and decoded, and the semantic aggregation coding features are obtained; and obtaining a disambiguation data entity. And circularly executing the steps to obtain a disambiguation data entity list, and further generating a remote management strategy. The method can improve data processing accuracy and management pertinence, and is suitable for large-scale and distributed planting scenes of begonia.

The invention relates to the technical field of remote management, in particular to a medical SPD intelligent cabinet remote management method and system, and the method comprises the following steps: screening abnormal points based on the operation data of an intelligent cabinet, extracting a deviation amplitude, searching an inventory trend, screening a boundary point set, judging a flow trend, positioning a scheduling axis sequence, and marking a key monitoring position; and acquiring response time delay to judge interference matching, and generating an automatic material dispatching response unit. According to the method, through combined comparison of the switching frequency, the temperature and humidity fluctuation and the inventory change rate, state abnormal point and inventory boundary features are extracted, a material flow center is accurately identified, a flow direction inflection point is actively identified and pre-judged, and meanwhile, by means of linkage judgment of response time delay and operation displacement, path interference is dynamically identified and a response path is automatically bound; the dynamic perception, path adaptation and remote response efficiency in the scheduling process is improved, the judgment precision and intelligent response capability of the intelligent cabinet to abnormity are enhanced, and the effectiveness of material monitoring and remote management is improved.

The invention discloses a transformer breathing state digital online monitoring system. Comprising a respirator online monitoring module used for collecting respirator working condition parameters, an oil conservator online monitoring module used for collecting oil conservator working condition parameters, a data collection and communication module used for receiving and transmitting the respirator and oil conservator working condition parameters, and a local processing and display module used for data processing and monitoring result displaying. And the remote management platform is used for remotely checking a monitoring result and adjusting parameters in the local processing and display module. According to the invention, comprehensive, real-time and quantitative monitoring can be carried out on the breathing state of the transformer and the internal state of the oil conservator, so that operation and maintenance personnel can intuitively and accurately master the operation state of equipment, regular maintenance is converted into predictive maintenance, the reliability, stability and economical efficiency of the operation of the transformer are remarkably improved, and the service life of the equipment is prolonged.

The invention relates to the technical field of transformer substation monitoring, and discloses an intelligent remote control platform and real-time monitoring control method for an unattended transformer substation, and the method comprises the steps: building a vibration footprint circular ring, collecting a vibration acceleration signal, and carrying out the positioning and contribution degree calculation of a vibration source; constructing a vibration propagation attenuation model, executing multi-stage vibration shadow stripping, and generating an equipment vibration feature vector and a time-varying matrix; establishing a dynamic energy distribution map to identify weak faults, predicting fault trends, constructing an equipment health state prediction matrix, executing an intelligent load regulation strategy, and generating a system optimization control instruction sequence; according to the method, the problem of feature separation under mutual coupling interference of multi-equipment vibration signals is solved, particularly under the condition of a low signal-to-noise ratio, weak fault features of the equipment are accurately recognized through time domain and space dual decoupling, potential faults are found in advance, the precision and timeliness of preventive maintenance are improved, and the method is suitable for popularization and application. And a powerful guarantee is provided for safe and stable operation of the unattended substation.

The invention discloses an intelligent robot system integrating health monitoring and cleaning functions for old people, and belongs to the technical field of intelligent old people nursing auxiliary equipment. According to the system, through cooperative work of the health monitoring module, the cleaning module, the interaction module, the control module and the communication module, health monitoring, intelligent cleaning and convenient interaction of old people in a family scene are achieved. The health monitoring module integrates the functions of blood pressure detection, medicine taking reminding and fall detection, and supports multi-dimensional health data acquisition and cloud transmission; the cleaning module realizes an efficient cleaning task through dual-mode control and intelligent path planning; the interaction module adopts a voice recognition mode and a touch control operation mode and adapts to the use habits of the old. And the control module dynamically coordinates health monitoring and cleaning functions through a multi-modal data fusion algorithm and a priority scheduling strategy, and preferentially processes emergency health requirements. The communication module supports dual-network encryption transmission, and collaborative management of local equipment and a cloud is realized. The system breaks through the bottleneck of function isolation of traditional equipment, improves the life safety and convenience of old people through an intelligent algorithm and an aging-suitable design, and has the advantages of high integration level, high adaptability and remote management capability.

A data analytics platform provides secure access to federated data for advanced analytics and machine learning. No raw data is exposed or moved outside its original location, thereby providing data privacy. A coordinator located in the provider cloud communicates with runners in each client data silo. The runners ensure that no raw private data is ever exposed to the coordinator. Silo managers are implemented in the client data silo in order to manage and maintain the client cloud components of the platform remotely. In some embodiments, the platform can anonymize verified models for privacy and compliance, and users can export and deploy secure models outside the original data location.

The invention provides an ONU (Optical Network Unit) management mode and port state switching method based on a hardware button, and relates to the technical field of communication, the method comprises the following steps: acquiring the triggering duration of an MOD (Modulation of Delay) button in ONU equipment, the triggering duration comprising a first triggering duration in a first time period and a second triggering duration in a second time period, the first time period is longer than the second time period; when the triggering duration of the MOD button is a first triggering duration, enabling the ONU equipment to execute a management mode switching operation, and performing switching between a remote management mode and a local management mode; and when the triggering duration of the MOD button is a second triggering duration, enabling the ONU equipment to execute switching between a port isolation state and a port intercommunication state in a local management mode, and directly writing a switching result into a nonvolatile memory. According to the invention, the reliability of the ONU equipment can be improved.

The invention discloses a power supply voltage monitoring device system based on edge calculation, and the system comprises a data collection and preprocessing module which is used for collecting and preprocessing voltage data, and generating a voltage time sequence data sample; the edge clustering analysis module is used for carrying out adaptive fuzzy C-means clustering and bald eagle search optimization to obtain a clustering center and a membership matrix; the state classification and abnormity identification module is used for carrying out state classification on the voltage data of each monitoring point and generating an abnormity identification mark; the alarm and linkage control module is used for automatically triggering local alarm, power failure or power limiting measures for abnormal monitoring points; the communication and data uploading module is used for uploading the abnormal data and the alarm information to a remote management platform; and the visualization and operation and maintenance management module is used for visually displaying abnormal information, archiving historical data and assisting operation and maintenance management. Intelligent monitoring, abnormity identification and quick response of the power supply voltage are realized, and the safety and reliability of a power grid are improved.