1067 results about "Remote management" patented technology

The invention relates to the technical field of digital twinning, and discloses a pump station working condition monitoring method and system based on digital twinning and a storage medium. The method comprises the following steps: receiving a pump station operation characteristic matrix of pump station equipment through a PLC (Programmable Logic Controller) control cabinet; constructing a hybrid digital twin model based on the pump station operation characteristic matrix and generating operation state prediction data; inputting the operation state prediction data and the actual monitoring data into a Transform network to carry out working condition feature association mode extraction and health index quantitative calculation to obtain an equipment health assessment index; and triggering an early warning response mechanism by using the equipment health assessment index, and outputting a unit start-stop control strategy of the pump station equipment to the scheduling system through the remote management platform. According to the invention, the capability of identifying abnormal working conditions and the accuracy of early warning are improved, the purposes of'few people on duty, remote monitoring and low-consumption operation 'of the pump station are achieved, the operation and maintenance cost is greatly reduced, and the service life of equipment is prolonged.

An energy scheduling system of a high-power liquid cooling charging pile belongs to the technical field of liquid cooling charging piles, and comprises a power scheduling module, a liquid cooling management module, a data acquisition and monitoring module, an energy storage and energy recovery module, a communication and interaction module, an intelligent scheduling module and a remote management and analysis module. Through the intelligent scheduling and energy optimization technology, power distribution can be adjusted in real time according to the vehicle demand and the power grid state, overload is avoided, and the charging efficiency is improved; and secondly, an advanced liquid cooling management technology is adopted, and temperature monitoring and cooling liquid flow rate adjustment are combined, so that heat balance and stable operation of the equipment under a high-load condition are ensured, the service life of the equipment is prolonged, and energy waste is reduced. In addition, the system can store redundant electric energy and release the electric energy in the peak load period of the power grid through the energy storage and energy recovery module, so that the power grid pressure is effectively reduced, and the energy utilization rate is also improved.

A software library for providing a uniform framework for various applications or third-party applications access to sensor data. The system further includes a sensor control module and a remote management module. The sensor control module includes logic for communicating with the sensors and receiving sensor data and to communicate that sensor data to the remote management module or various applications. The sensor control module may include a user interface that may display a banner containing numerous components. The content of the banner may differ depending on the host application. The system may further include a host application that incorporates the banner.

A system for administering treatment with a medical device includes a medical device capable of delivering a medical treatment to a patient. An electronic computing device has a processor, computer-readable memory, and a power supply. The electronic computing device is in communication with the medical device. A patient interface is in communication with the electronic computing device and the medical device. The electronic computing device is configured to: receive an initial electronic treatment protocol; communicate the initial electronic treatment protocol to the medical device to enable an initial treatment of the patient; receive patient input through the patient interface; receive an updated treatment protocol based on the patient input; and communicate the updated treatment protocol to the medical device to enable an updated treatment of the patient.

A system for administering transcranial neuromodulation (TNM) treatment with a medical device capable of delivering a TNM treatment to a patient including an electronic computing device has a processor, computer-readable memory, and a power supply, in communication with the TNM device. A patient interface is in communication with the electronic computing device and the TNM device. The electronic computing device is configured to: receive an initial TNM treatment protocol; communicate same to the TNM device to enable initial TNM treatment; receive patient input through the patient interface; receive an updated TNM treatment protocol based on patient input; and communicate updated TNM treatment protocol to the TNM device to enable updated TNM treatment of the patient.

A system for real-time data aggregation and analysis within an Internet of Things (IoT) network, consisting of: a multitude of IoT sensor nodes configured to collect data from multiple sources, each sensor node comprising a data acquisition unit for capturing data in real time and a local processing unit for preprocessing the captured data by performing data filtering, normalization and compression prior to transmission; a centralized aggregation server communicating with the multitude of IoT sensor nodes, the aggregation server comprising: a data aggregation module configured to receive, integrate, and synchronize pre-processed data streams from the multitude of sensor nodes, thereby enabling consolidated data storage; a timestamped metadata indexing unit coupled with the data aggregation module and configured to add metadata to each data entry, including a unique identifier, a geographic location, and a timestamp; an analysis engine integrated into the aggregation server, which includes the following: a data processing unit configured to perform real-time analysis of the aggregated data by applying pattern recognition and anomaly detection techniques and to generate processed results based on predefined parameters; a predictive analytics module that is connected to the data processing unit and configured to perform predictive modeling tasks by extrapolating trends from historical and real-time data; a communication interface connected to the aggregation server, configured to enable bidirectional data exchange with external monitoring devices, user interfaces, or remote management systems via secure communication protocols; and a dynamic load balancing unit embedded in the aggregation server, configured to dynamically distribute computing resources between the data processing unit and the predictive analytics module depending on data volume and complexity.

The invention relates to the technical field of experimental equipment, in particular to an experimental equipment remote management method and system based on the Internet of Things, and the method comprises the following steps: S1, equipment fingerprint collection and identifier generation: generating a dynamic unified equipment identifier; s2, establishing a data acquisition channel: acquiring multi-source heterogeneous data of experimental equipment; s3, data processing and feature extraction: extracting a state feature vector through a transfer learning model; s4, anomaly detection and evaluation: generating an equipment health degree evaluation value and an anomaly type code; s5, emergency strategy and instruction generation: generating a control instruction set comprising a priority weight; and S6, instruction verification and execution synchronization: verifying the control instruction set through a block chain consensus mechanism, and issuing execution to the target equipment and synchronously updating the distributed equipment state database. According to the invention, the intelligent level, the safety and the expandability of the system in the operation and maintenance scene of the experimental equipment are improved.

A system can receive, from a remote computer of remote computers, inventory data representative of an inventory, wherein the inventory data indicates that the remote computer is configured to implement a shared memory pool with the remote computers according to a compute express link protocol. The system can receive, from the remote computer, a request to onboard the remote computer, wherein the request adheres to a defined security protocol and data model architecture, and wherein the system is configured to remotely manage the remote computers as part of a hybrid cloud platform that comprises the remote computers. The system can authenticate the remote computer based on the request and according to the defined security protocol and data model architecture. The system can implement the shared memory pool for the remote computers.

The invention provides a reflux valve supporting remote monitoring of the Internet of Things. The reflux valve comprises a valve body provided with a fluid inlet, a fluid outlet and an internal flow channel, and an electric actuating mechanism is configured for controlling the opening degree of the valve; a microprocessor and a memory are arranged in the control unit, and the control unit processes data of the sensor, calculates a fluid density correction coefficient and a pressure correction coefficient, corrects original flow data collected by the flow sensor and generates an actual flow value; the control unit further identifies the current fluid type and adaptively adjusts the countercurrent detection threshold value of the upstream and downstream pressure difference based on the relationship between the flow and the pressure data; when the pressure difference exceeds the adjusted threshold value, the electric executing mechanism executes emergency turn-off operation; meanwhile, a wireless communication unit is arranged, real-time data transmission is supported, control parameters issued by external monitoring equipment are received, and intelligent control and remote management are achieved; the intelligence and the operation efficiency of the reflux valve can be effectively improved, and the reflux valve is suitable for safety protection and operation optimization under the complex fluid working condition.

The invention discloses an intelligent control system and method for gas-liquid photoelectric slip ring injection molding machining, and relates to the technical field of injection molding process control. The data acquisition module is used for acquiring multi-dimensional production data by using a sensor array and an advanced optical technology; the data analysis and processing module fuses and optimizes data through deep learning; the decision-making module combines reinforcement learning and a knowledge graph to generate a strategy; the execution control module adopts an advanced control algorithm to realize accurate control; the monitoring and early warning module guarantees production by using technologies such as digital twinning; the man-machine interaction module applies a leading-edge interaction technology; the communication module adopts a high-speed communication architecture; all the modules cooperate to achieve intellectualization and precision of injection molding machining. The gas-liquid photoelectric slip ring injection molding processing level is greatly improved, the product percent of pass is improved, the production efficiency is improved, the unit product energy consumption is reduced, meanwhile, intelligent interaction and remote management are achieved, and the production benefit and quality are improved.

The invention discloses a smart city street lamp intelligent control system and method. The method comprises the following steps: performing multi-aspect inspection on each hardware device through a comprehensive intelligent control module and a communication module; the environment monitoring module is used for collecting multi-source data in real time and integrating and analyzing the multi-source data through the data fusion module; generating a dynamic dimming strategy of the common road section and the high-priority road section according to the collected data and regional requirements; brightness adjustment and on-off control are executed one by one through the single lamp control module, and equipment operation parameters are collected through the real-time feedback and monitoring module. The remote management platform is used for monitoring the running state of the street lamp in real time and dynamically adjusting strategy optimization analysis; different operation scenes are simulated through a system simulation test, actual deployment is carried out in a pilot area, and parameters and operation logic are optimized. Through modular design, intelligent decision making and data driving modes, the management efficiency and the energy-saving level of urban street lamps are remarkably improved, and reliable technical support is provided for smart city construction.

The invention discloses a meter reading system and a meter reading method based on dual-mode communication, and relates to the technical field of meter reading systems and methods, the meter reading system comprises a dual-mode communication module, intelligent data demand switching, strong NB-IoT penetration and far coverage; the BLE is short-distance, high-speed, low-power-consumption and fast in switching, the intelligent electric meter module and the high-precision metering chip measure electric energy accurately, historical data is stored in a large-capacity mode, the shell protection is high, the intelligent electric meter module adapts to severe environments, the data processing and storage module and the high-performance processor compress and process data, the SSD stores in a large-capacity mode and backups redundancy, and the user interaction module and the large-screen LCD clearly display power utilization information. And a button or a touch screen is convenient to operate, and a remote management and monitoring module is provided. Innovative technologies such as dual-mode communication are fused, high-precision metering, intelligent switching communication and convenient interaction are achieved, power line carrier standby and fault early warning diagnosis are achieved, meter reading efficiency, precision and reliability are improved, and development of an intelligent power grid is promoted.

A system can receive, from a remote computer of remote computers, inventory data representative of an inventory, wherein the inventory data indicates that the remote computer is configured to interact with other remote computers of the remote computers according to a compute express link protocol. The system can receive, from the remote computer, a request to onboard the remote computer, wherein the request adheres to a defined security protocol and data model architecture, and wherein the system is configured to remotely manage the remote computers as part of a hybrid cloud platform that comprises the remote computers. The system can authenticate the remote computer based on the request and according to the defined security protocol and data model architecture. The system can remotely monitor hardware resources of the remote computers based on workload configuration map data representative of a workload configuration map of the remote computers.

The invention relates to the technical field of remote monitoring, and discloses a coal unloader remote monitoring system based on AI learning and a cloud platform, and the system comprises an impact force monitoring module, a vibration mode analysis module, an operation state evaluation module, a health diagnosis module, and an intelligent early warning module. According to the method, through calculation of the magnitude, the direction, the stress time and the stress frequency of the impact force, fine-grained recognition of coal flow impact force distribution and fusion of vibration data and impact force data are enhanced, comprehensiveness and multi-dimensional data cross analysis of fault recognition of the coal unloader are improved, the abnormal misjudgment rate is reduced, intelligent calculation based on AI learning is achieved, and the fault recognition accuracy of the coal unloader is improved. According to the invention, a health assessment result can be dynamically adjusted, misjudgment caused by single-point abnormity is avoided, a cloud data processing mode enables remote management to be converted from data collection to intelligent early warning, the prediction capability of equipment operation abnormity is enabled to be more timely, remote monitoring is combined with intelligent learning, multi-level assessment is formed, and the accuracy and decision efficiency of remote management are improved.

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 discloses a multi-terminal cooperative processing method and system, and relates to the field of terminal communication, and the method comprises the steps: responding to a trigger signal of an event, determining event information, and initiating a cooperative processing request to at least one second terminal in a communication range; determining a target terminal responding to the cooperative processing request in the second terminal, and constructing a temporary cooperative group including the target terminal; acquiring shared event associated data in the temporary collaborative group, and determining a consensus event description based on the event associated data and / or the event information; a dominant reporting terminal is determined in the temporary cooperation group, and the dominant reporting terminal is used for packaging the consensus event description into a data packet and sending the data packet to a remote management platform; and receiving a response confirmation message returned by the remote management platform, and broadcasting the unique event ID and the processing state in the response confirmation message to all terminals in the temporary collaborative group. The computing resource consumption of the remote management platform can be effectively reduced.

The invention relates to the technical field of battery monitoring and management, and discloses a power battery monitoring and management system and method based on the Internet, and the system comprises a data collection unit, a preprocessing unit, a data transmission unit, a feature extraction unit, a data analysis unit, a fault diagnosis unit, and a remote management unit. In battery state evaluation, the charge state is calculated by combining an ampere-hour integral method with an open-circuit voltage method, and errors are calibrated and reduced; the health state is calculated through the internal resistance change rate, maintenance or replacement requirements can be prompted in time, voltage, temperature, charge and health state parameter trends are analyzed through setting observation points, faults including potential faults are efficiently diagnosed in combination with normal threshold value comparison and change rate comparison, and finally a user can remotely check the visual battery state. When a fault occurs, an instruction can be sent remotely, control such as power limiting and balance operation starting is achieved, and convenience and high efficiency are achieved.

The invention discloses a dynamic blockage management system and method for an underground water recharge well. The system comprises a monitoring and acquisition module, a data processing and risk assessment module, a flow rate adjustment optimization and dynamic feedback module and a storage and remote management module. The method comprises the following steps: monitoring key parameters such as water flow rate, suspended particulate matter concentration, fluid density and temperature and the like in a well injection process in real time, and carrying out data preprocessing; deriving a comprehensive blockage risk index calculation formula based on the key parameters, and comparing with a set threshold to judge whether flow velocity adjustment is triggered or not; by analyzing the relationship among the blockage risk, the pressure loss and the injection amount in real time, an objective function is constructed to seek an optimal solution; the well injection flow velocity is dynamically adjusted based on the solved optimal flow velocity and is dynamically fed back; and carrying out data storage and remote management. The device can dynamically adjust the injection flow rate, remarkably improve the injection efficiency, reduce the maintenance cost, and effectively manage and reduce the physical blockage problem in the underground water recharge process.

The invention relates to the technical field of gateway equipment management, and discloses an intelligent gateway equipment remote management and control method based on a swan-mong system, which realizes tight connection and data sharing between gateway equipment and the system by using a distributed architecture of the swan-mong system. And real-time working state data of the gateway and the sensor connected with the gateway are collected through the unified equipment management platform. In combination with a machine learning algorithm, a fault prediction model is trained, and the model can predict the potential fault risk of the gateway equipment, including the type, grade and time node of the fault. And deploying the trained model at an edge computing node of the swan gap system, analyzing and processing data in real time, predicting equipment faults, and automatically generating a control instruction according to a preset strategy. Instructions are sent to gateway equipment in real time, and remote management and control are achieved. According to the invention, the stability and reliability of the gateway equipment are improved, real-time equipment monitoring and management are realized, the risk of data loss or error is reduced, and the maintenance cost and downtime are reduced.

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 relates to the technical field of electric power engineering, and discloses an internet of things type box-type substation based on online monitoring, which comprises a sensor network layer, an edge intelligent node layer, a self-healing communication module layer and a cloud management platform layer, the sensor network layer is used for collecting the operation state and environmental parameters of equipment in the box-type substation in real time; the edge intelligent node layer is used for processing sensor data, executing self-adaptive monitoring and local diagnosis and communicating with the cloud; the self-healing communication module layer is used for ensuring the reliability and continuity of data transmission; and the cloud management platform layer is used for receiving the data uploaded by the edge nodes and carrying out long-term analysis, model training and remote management. Through the adaptive multi-parameter fusion monitoring technology, the sampling frequency of the sensor is dynamically adjusted (for example, the temperature is increased from one time per second to two times per second when the temperature is abnormal), and in combination with a lightweight machine learning model of an edge intelligent node, equipment faults (such as insulation degradation and overheating) can be accurately predicted.

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 LED cloud screen 3D interaction control system, and relates to the technical field of cloud screen interaction control, and the system comprises a content input module which receives multi-source signal content from the outside and converts the multi-source signal content into an SDS stream; the 3D rendering and processing module performs image generation and effect optimization, and generates a final display image step by step; the display output module converts the final display image into a data frame which can be directly loaded and displayed by the LED cloud screen; the monitoring and maintenance module performs real-time sensing, fault prediction and remote management on the operation state of the LED cloud screen system, and finally outputs system state information and a maintenance response instruction; and the interaction control module analyzes and responds to the control event data in the SDS stream, and converts a structured control event into a standardized system control instruction. The operation stability and the interaction performance quality of the cloud screen system are improved, and the failure rate in the long-term use process is reduced.

The invention provides a distributed AC / DC uninterruptible power supply system, which comprises a PLC main control module and a power supply monitoring controller, the AC-DC rectifier module provides a main power supply for the system; the alternating-current and direct-current inverter is used for current conversion and providing an uninterrupted alternating-current power supply; the static switch performs power supply switching between the battery pack and the commercial power; the direct-current starting module activates a direct-current starting function and realizes alternating-current and direct-current uninterruptible power supply; the four-port isolation module realizes current single-phase flow of the battery pack and the intelligent charger; the battery management module is used for uninterruptedly supplying power; the intelligent heat dissipation module is used for automatically dissipating heat in a high-power operation state; and the human-computer interface and the configuration software are used for displaying the operation data and the operation state in real time and carrying out remote management. The battery pack is in an off-line mode; a high-speed switch is adopted for switching, a complete battery management system is adopted, the service life of a battery pack is prolonged, reliable alternating-current and direct-current uninterruptible power supply is achieved, faults are reduced, and intelligent power supply management is achieved.

The invention relates to the field of remote management of parking locks, in particular to an intelligent parking lock remote management method and system based on Bluetooth communication. The method comprises the following steps: acquiring an intelligent parking lock operation log and an intelligent parking lock real-time Bluetooth connection state parameter; according to the intelligent parking lock operation log, user personalized behavior habit evolution is carried out, user portrait modeling is carried out, and an unlocking behavior portrait of each user is constructed; based on the unlocking behavior portrait of each user, real-time user behavior abnormal deviation quantification and abnormal parking lock use decision making are carried out on the intelligent parking lock real-time Bluetooth connection state parameters, and an abnormal parking lock early warning strategy is generated; when the real-time user behavior abnormal deviation value does not exceed a preset behavior deviation threshold value, triangulation positioning distance measurement and user accurate positioning calculation are conducted on the intelligent parking lock real-time Bluetooth connection state parameters, and real-time position coordinates of the user are obtained. According to the invention, safe and efficient remote management of the parking lock is realized.

The invention discloses a remote management method, device and equipment for fish and vegetable symbiosis based on digital twinning, and the method comprises the steps: obtaining the physical parameter data of a physical fish pond and a physical plant shed in a fish and vegetable symbiosis system, creating twin models corresponding to fish schools, fish ponds, hydroponic plants, plant sheds and physical equipment of the fish and vegetable symbiotic system based on the physical parameter data; acquiring fish school culture parameters and plant growth parameters acquired by a sensor and a camera deployed in the fish and vegetable symbiotic system in real time, and acquiring equipment operation parameters; analyzing according to the fish stock culture parameters, the plant growth parameters and the equipment operation parameters through a fish and vegetable symbiotic digital twinborn platform to obtain an analysis result; and triggering an early warning mechanism according to an analysis result, generating a regulation and control instruction, and dynamically adjusting the operation state of corresponding physical equipment in the fish and vegetable symbiotic system according to the regulation and control instruction, thereby realizing remote collaborative management. Remote management of the fish and vegetable symbiotic system can be realized, and the resource utilization rate and convenience are improved.

The invention discloses an ad hoc network wireless intercom system and method for old cell reconstruction, the system is composed of an outdoor wireless digital host, a wireless repeater and a wireless indoor extension, an ad hoc multi-hop wireless local area network is constructed based on an ESP-WIFI-MESH protocol, redundant communication is realized by adopting a mesh topology structure, and the wireless intercom system and the wireless repeater are used for wireless intercom. The problems of high wiring cost and poor wireless signal coverage in the prior art are solved. The talkback method comprises the following steps: marking an alarm instruction as the highest level through a priority transmission mechanism, and preempting a channel to ensure zero delay of an emergency signal; voice and video data are scheduled in a hierarchical manner, and real-time performance and bandwidth are balanced. The wireless repeaters dynamically allocate IP addresses, support plug and play of extension sets, and realize cross-building communication and remote management in combination with a local area network of a community.

The invention discloses an intelligent monitoring system for a transformer substation channel cover plate based on the Internet of Things, and relates to the technical field of transformer substations. The acquisition monitoring module is used for acquiring environment and state data of the channel cover plate in real time; the acquisition monitoring module is also used for converting the environment and state data of the channel cover plate into a transmission format; the network connection module is used for receiving the environment and state data of the channel cover plate after the transmission format is converted by the acquisition monitoring module; interconnection, intercommunication and remote management of equipment and sensors are achieved through the Internet of Things technology, and collection and transmission of the state, temperature, humidity and other data of the trench cover plate are achieved through the sensors. Data transmission and remote management between intelligent devices are realized, and finally data acquired by a sensor is processed and analyzed, so that state prediction and maintenance plan making are realized.