819 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.

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.

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.

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 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 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 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 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 a wide-angle video monitoring system, method and equipment based on multiple cameras and a medium, and relates to the technical field of video monitoring, the wide-angle video monitoring system comprises a multi-camera acquisition module, a variable-focus high-definition camera multi-angle acquisition module, a high-quality image obtained through distortion correction and an image splicing processing module, an improved algorithm is used for accurately matching feature points and fusing the images, and the high-quality image is obtained. The intelligent analysis module detects and tracks a target and analyzes behaviors in real time by means of an improved model, the storage and transmission module performs cluster storage, advanced coding cost reduction and high-speed link transmission, and the control module performs intelligent regulation and control according to multiple information and can also perform remote management. The system has the advantages of multi-angle acquisition without dead angles, good image splicing, accurate intelligent analysis, efficient storage and transmission, adaptability to severe environments, flexible power supply, guarantee of data safety, improvement of monitoring quality and efficiency, meeting of complex scene requirements, and enhancement of practicability, reliability and safety.

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.

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 is suitable for the technical field of mountain fire disaster monitoring and early warning, and provides a power distribution network mountain fire disaster state monitoring and early warning system, which comprises a multi-source data processing module, a space-time coupling monitoring module, an intelligent response module and a remote management platform, the multi-source data processing module is used for integrating and processing satellite remote sensing data, meteorological data, topographic data and power distribution network topology data; the space-time coupling monitoring module is connected with the multi-source data processing module and is used for dynamically analyzing the space-time characteristics of the fire behavior; the intelligent response module is connected with the space-time coupling monitoring module and is used for executing hierarchical prevention and control operation according to a fire behavior space-time characteristic analysis result; the remote management platform is connected with the space-time coupling monitoring module and the intelligent response module and used for outputting a forest fire disaster early warning scheme according to the fire behavior space-time characteristic analysis result and the graded prevention and control operation process, the emergency evacuation efficiency can be improved, and power grid facility damage and economic loss caused by fire behavior diffusion are reduced.

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 provides a concrete pouring workload data acquisition system which comprises a flow monitoring module, a pressure monitoring module, a wireless sensing and remote monitoring module, a grouting process monitoring module and a comprehensive management platform module. Real-time monitoring of key parameters, data analysis and remote management of equipment states in the concrete pouring process are achieved, the construction efficiency, quality and safety are improved, and meanwhile a scientific basis is provided for cost control and equipment maintenance.

The invention relates to the field of running machine anti-falling braking and injury protection, in particular to a running machine anti-falling system based on multi-modal fusion detection and a control method thereof.A multi-modal sensing module is adopted for collecting user motion data in real time, and three-level trigger judgment is conducted by means of an inertial sensor set and a visual recognition unit; a 4G Cat.1 communication module of the system transmits alarm information with a timestamp, attitude data and an image thumbnail to a remote management terminal in real time; the self-checking diagnosis unit automatically checks the zero drift of the sensor, the focusing precision of the camera and the quality of a communication link. Through multi-dimensional detection, the false alarm rate is reduced to 1% or below, the response time is shortened by 40% compared with that of a traditional scheme, low-power-consumption operation is supported (the standby current is smaller than 10 mA), a mainstream treadmill protocol is also compatible, and the exercise safety and the equipment reliability are greatly improved.

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 relates to the technical field of fire fighting, in particular to an intelligent fire fighting remote management system which comprises a server side and a user side. The server side comprises a multi-dimensional data acquisition module, a judgment module, a processing module, an early warning grade determination module, an alarm pushing module and a fire extinguishing control module, and the processing module is used for sending an alarm when a judgment result is that a fire occurs in a detected area at the current moment; if yes, determining a fire hazard degree corresponding to the detected area at the current moment according to temperature data, smoke data and flame data which are acquired in real time and correspond to the detected area; the early warning level determination module is used for determining a fire early warning level corresponding to the detected area at the current moment; and the alarm pushing module is used for calling a fire alarm pushing strategy corresponding to the fire early warning level from the database according to the determined fire early warning level corresponding to the detected area at the current moment, and executing the corresponding fire alarm pushing strategy to push an alarm signal to the corresponding user side.

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.