90results about How to "Reliable security" patented technology

The invention discloses a multi-dimensional comprehensive online monitoring and fault early warning platform for a main transformer of a gas turbine power plant, and relates to the technical field of power transformer monitoring. In order to solve the problems that in the prior art, the accuracy of a monitoring result highly depends on the quality of collected data and the reliability of a sensor, wrong early warning is possibly caused when the sensor breaks down or data is inaccurate, specific adjustment and calibration cannot be carried out aiming at different transformers and environmental conditions, and the environmental adaptability is low. Multi-dimensional monitoring is carried out on the main transformer based on the sensor assembly, the load of data transmission is reduced through edge side processing, integrity verification is carried out on received dynamic monitoring data, meanwhile, the real-time performance and integrity of the data are ensured, and the transformer health degree evaluation model carries out comprehensive evaluation on the operation state of the main transformer. The health state and the fault type of the main transformer can be accurately judged, and timely and accurate fault information is provided for operation and maintenance personnel.

The invention provides a learning-based map-free autonomous navigation obstacle avoidance method, a medium and equipment. The method comprises the following steps: carrying out map-free autonomous navigation obstacle avoidance on the mobile robot by adopting a reusable planning capability library; the multiplexing planning capability library comprises a global planning module and a local planning module; the global planning module is used for guiding a global navigation direction and generating ordered and discrete path points; the local planning module generates real-time actions based on a learned local navigation obstacle avoidance model; and controlling the mobile robot to move according to the action generated by the local planning module so as to sequentially navigate the mobile robot to each path point generated by global planning. According to the method, through a global and local combined planning architecture, an algorithm is modularized, so that the method adapts to different navigation tasks, a large amount of retraining based on a deep reinforcement learning navigation method is avoided, and the universality and interpretability of a model are improved.

The invention relates to the technical field of intelligent robots, and discloses a face recognition method of an intelligent robot, which comprises the following steps: step 1, lightweight face detection and feature extraction: performing face detection and feature extraction through a lightweight neural network structure, and combining model compression and edge calculation to reduce calculation complexity; and step 2, illumination and attitude adaptability is realized through multi-modal fusion, and face processing under different illumination and attitude conditions is carried out based on the extracted face features by utilizing fusion of an RGB image and an infrared image, adaptive illumination enhancement and 3D attitude correction. Through a multi-modal fusion technology, 3D attitude correction and self-adaptive illumination enhancement, different illumination conditions and attitude changes can be adapted, then the recognition stability of the system in a complex environment is remarkably improved, it is ensured that face recognition has high accuracy and robustness under the conditions of insufficient illumination, strong light or multi-angle offset, and the face recognition accuracy and robustness are improved. And the application requirements of the intelligent robot in multiple scenes are met.

The invention provides a crane hoisting operation process risk early warning method and system, and relates to the technical field of crane hoisting risk early warning, and the method comprises the steps: obtaining actual data through a pre-operation test, correcting a load in combination with a wind speed, a load matrix and a dynamic factor, and generating a fitting equation to predict a future load condition. Dynamic monitoring and accurate evaluation of the crane jib load are realized, and the accuracy of risk management is remarkably improved. Compared with a traditional method, the scheme can predict the operation condition in advance and carry out risk assessment, so that potential accidents are prevented, and reliable safety guarantee is provided for operators. Therefore, the operation safety of the crane is improved, the equipment management and maintenance process is optimized, and an effective solution is provided for a high-risk operation scene.

The invention provides an AI-based wet and slippery road surface driving safety early warning method and system, and relates to the technical field of artificial intelligence. Firstly, dangerous area information in candidate wet and slippery road surface road conditions is accurately extracted, and driving state description characteristics extracted by combining vehicle sensor data are extracted; and dangerous situations possibly encountered by the vehicle at present and in the future are effectively identified. Through a cyclic reasoning mechanism, the method can accurately predict a change sequence of a dangerous area according to various dynamic factors, such as to-be-injected interference characteristics and reasoning unit length, so that the accuracy and timeliness of driving safety early warning are improved, an early warning system can better adapt to a complex and changeable wet and slippery road surface environment, and the driving safety early warning method is suitable for driving safety early warning. Therefore, a more reliable safety guarantee is provided for a driver, and the traffic accident risk caused by wet and slippery road surfaces is remarkably reduced.

The invention provides a portable emergency communication method based on a Beidou short message, and the method comprises the steps: an emergency communication device is used for receiving the data of a Beidou satellite, transmitting short message information and positioning information to a mobile terminal, and receiving an instruction from the mobile terminal; the emergency communication device comprises a forwarding unit which communicates with embedded software and is connected with a Bluetooth port of the mobile terminal equipment; two annular buffer areas, namely a Beidou data buffer area and a user data buffer area, are operated through embedded software, when the emergency communication device receives the Beidou data, the Beidou data are pressed into the Beidou data buffer area, whether the Beidou data are detected by a sending task or not is detected, and if the Beidou data exist, the Beidou data are transmitted to a user; and the emergency communication device presses the received user data into a user data buffer area, detects whether the user data exists in the user data buffer area or not through a receiving task, and then transmits the user data to a radio frequency module of the emergency communication device to be sent.

The invention discloses a novel power system network security protection and verification method and system. The method comprises the following steps: monitoring network traffic and log data, forming a network space behavior analysis rule by using a machine learning algorithm or a path search algorithm, and generating an attack path from an attacker perspective; constructing a network attack behavior event association model oriented to an attack and defense scene of the power system based on an analysis result of the attack path, and automatically identifying a network threat; aiming at the identified network threats, integrating power network security domain knowledge, a power monitoring system network plan and an on-site disposal scheme by utilizing a knowledge graph technology, and automatically generating a protection strategy; comprehensively evaluating the protection effect of the protection strategy through a pre-established evaluation system, and verifying and optimizing the protection effect by simulating a real attack and defense scene. According to the scheme of the invention, the accuracy and timeliness of threat identification are improved, and the verification process of a protection strategy is simplified.

The invention relates to a vehicle driving warning method and device, equipment and a medium, and the method comprises the steps: obtaining a longitudinal-axis acceleration set and a vertical-axis acceleration set corresponding to vehicle driving within a preset time period, and when the latest longitudinal-axis acceleration in the longitudinal-axis acceleration set is smaller than a first preset threshold value, giving an alarm; the method comprises the steps of obtaining a corresponding longitudinal average absolute value according to a longitudinal axis acceleration set, when the longitudinal average absolute value exceeds a second preset threshold value, determining a corresponding vertical fluctuation frequency number matched with a bumpy driving condition according to a vertical axis acceleration set, and when the vertical fluctuation frequency number is lower than a third preset threshold value, sending a continuous alarm control instruction to a target alarm unit, and the target alarm unit is continuously controlled to show that the vehicle is in a driving state of rapid deceleration. By comprehensively analyzing the real-time acceleration of the vehicle in the longitudinal direction and the transverse direction in the running process, accurate and efficient rapid deceleration detection is achieved, and an alarm can be given in time.

The invention discloses an exoskeleton robot abnormal working condition automatic response and risk avoiding decision-making method, and relates to the technical field of exoskeleton, and the method comprises the steps: deploying a plurality of types of sensors to synchronously collect environment data, human physiological data and exoskeleton operation data, and carrying out the preprocessing to remove interference; through fusion of abnormal harmonic detection and a finite-state machine, dangerous working conditions such as wind speed abrupt change are identified, and grades are judged; monitoring eye movement and heart rate variability data in real time, quantifying cognitive load and grading; a decision rule base is constructed, and joint locking and other adaptive risk avoiding decisions are generated in combination with working condition types, grades and cognitive loads; the controller drives the execution mechanism to execute a decision, continuously monitors data at a frequency, dynamically adjusts the decision or recovers a normal mode. According to the method, dangerous working conditions are accurately identified through multi-source data fusion, adaptive risk avoiding measures are automatically triggered, a power assisting strategy is dynamically adjusted in combination with cognitive loads, and operation flexibility and physical output are balanced.

The invention relates to a digital twinning-based component lifting operation safety monitoring and risk management method, belongs to the field of building industry, and aims to solve the problem of safety monitoring in lifting operation of prefabricated components. The method comprises the following steps: collecting real-time data of lifting operation, and establishing a digital twin system; adjusting the weight of at least one type of lifting operation real-time data in the real-time scene according to the influence of the multiple types of lifting operation historical data on lifting operation safety in different scenes; extracting risk feature data corresponding to the abnormal mode; predicting time series data in the lifting operation real-time data after weight adjustment to obtain first prediction data; according to the similarity between the feature data of the first prediction data and the risk feature data, risk early warning is judged; and carrying out risk labeling on the digital twin system. The intelligent safety management level of component lifting operation can be improved, and different lifting operation requirements can be met.

The invention discloses sensing skin for a protection robot and a sensing method. The sensing skin comprises sensing skin wrapping the outer side of a mechanical arm and a controller electrically connected with the sensing skin. The induction method comprises the steps that an alternating electric field with the frequency being 10-100 kHz and the voltage being 5-30 V is applied to an electrostatic induction unit array on a flexible base layer of the mechanical arm, and capacitance change signals of electrostatic induction units are collected; a programmable gain amplifier is used for amplifying capacitance change signals, interference is eliminated through digital filtering, digital sampling is conducted through an analog-to-digital converter, based on the processed capacitance change signals, the human body approaching distance is calculated through an equivalent capacitance model, a danger level evaluation model is established, and early warning signals are sent out based on the evaluation result. According to the method, the safety performance of the industrial robot can be effectively improved, reliable safety guarantee is provided for man-machine cooperation, and the method has wide application prospects.

A vehicle-mounted pet house comprises a house body, and a house pad is arranged at the bottom of the inner side of the house body; the four detachable side pillows are uniformly distributed above the nest pad and are connected with the inner surface of the nest body; the prone sleeping pillow is separably arranged at the top of the nest pad; the straps are symmetrically arranged and are fixed on the outer surface of the house body; the vehicle-mounted pet house mat is novel in structure and ingenious in conception, has the advantages of antibiosis and mite prevention, is beneficial to health of pets, easy to clean and maintain and convenient to use, can be placed in a vehicle to carry the pets when people go out, and can be used for carrying the pets to go out when people walk due to the design of the straps on the two sides. A hidden zipper is arranged on the bottom side of the outer sleeve to prevent the pet from being hurt by the pet hair hooked by the zipper. Through the arrangement of the prone sleeping pillow, a pet can lie prone to have a rest, better comfort is achieved, and the vehicle-mounted nest is safer due to the design of the safety buckle of the woven belt and the automobile seat and the connection of the woven belt and the headrest of the automobile seat.

The invention discloses an electric multifunctional operation vehicle with a folding arm crane. The folding arm crane is fixedly arranged on a chassis girder between a vehicle head and a multifunctional operation compartment; the folding arm crane comprises a bearing base, a slewing bearing, a large arm, a middle arm, a telescopic arm, a large arm oil cylinder, a rotation detection assembly and a control assembly, the bearing base is fixedly arranged on the chassis girder, the large arm is rotationally connected with the top of the bearing base through the slewing bearing, the large arm, the middle arm and the telescopic arm are sequentially connected, and the two ends of the large arm oil cylinder are connected with the large arm and the middle arm respectively; the control assembly is electrically connected with the slewing bearing and the big arm oil cylinder, and drives the folding arm crane to rotate in the horizontal direction and the vertical direction through the slewing bearing and the big arm oil cylinder; the control assembly is further electrically connected with the rotation detection assembly, the telescopic length of the large arm oil cylinder is obtained through the rotation detection assembly, and when the telescopic length is within the safe telescopic range, the slewing bearing is controlled to rotate normally to drive the folding arm crane to act so as to avoid the vehicle head and the multifunctional operation compartment.

The invention provides an operation room personnel intrusion detection method and device, and the method comprises the steps: recognizing a target video frame related to an operation room, and determining a door target contained in the target video frame; according to the area of the door target, the door state of the door target is determined, and the door state comprises an opening state and a closing state; when the door state is the closed state, identifying a personnel target contained in the target video frame; a reference object target in the target video frame is recognized, the position relation between the person target and the door target is determined according to the reference object target, and the position relation is an intrusion relation or a non-intrusion relation; and according to the position relationship, generating an alarm instruction and reporting the alarm instruction to a preset alarm device. Whether personnel intrude into the operation room or not is accurately detected in real time, the situations of missing detection and false detection are reduced, and reliable safety guarantee is provided for industrial production.

This application discloses a method, device, electronic device, and storage medium for obstacle avoidance navigation for the blind, relating to the field of computer technology. The method includes: performing target detection on the current environmental image of a preset environmental area to obtain the obstacle type of each obstacle; determining the obstacle weight factor of the corresponding obstacle based on the obstacle type of each obstacle; and determining the speed sensitivity coefficient of the corresponding obstacle based on the current obstacle data of each obstacle and the historical obstacle data of the corresponding obstacle; determining the noise interference coefficient of the preset environmental area at the current moment based on the current signal strength in the current voice data of the preset environmental area; and determining the obstacle avoidance risk index of the corresponding obstacle based on the noise interference coefficient, the current obstacle data of each obstacle, the obstacle weight factor, and the speed sensitivity coefficient; and performing graded obstacle avoidance navigation for the blind based on the obstacle avoidance risk index of each obstacle, which can effectively help the blind avoid dangers in complex environments.

The invention discloses a violation operation detection method and device for a fire operation scene based on a power plant unsafe behavior platform, a storage medium and a processor, relates to the technical field of operation safety management, and mainly aims to accurately detect and early warn violation operation and reduce potential safety hazards in the fire operation scene. According to the main technical scheme, the method comprises the steps of obtaining at least one target image frame corresponding to a live working area, wherein the target image frame is used for representing video image frames continuously intercepted in a video stream of the live working area at a preset frequency; inputting the at least one target image frame into a pre-trained target detection model to obtain category information and coordinate information of each target in the at least one target image frame; according to the category information and the coordinate information, whether violation operation exists in the fire operation area or not is judged; and if yes, executing a corresponding alarm operation based on the hidden danger level of the violation operation.

The utility model relates to a photovoltaic construction hoisting device, including lifting hook and the corner fixing spare of connection on lifting hook, corner fixing spare includes fixed chassis and the press frame of rotation connection in fixed frame, and press frame is used for with fixed chassis cooperation, to fix on photovoltaic construction fixed block, corner fixing spare still includes one end with fixed chassis rotation connection, the hydraulic rod of another end rotation connection with press frame, and hydraulic rod is used for drive press frame rotation. The technical scheme of the present application has beneficial technical effects: corner fixing spare can be fixed on photovoltaic construction fixed block closely and stably through the cooperation design of fixed chassis and press frame. In the hoisting process, this stable fixing mode effectively avoids photovoltaic module sliding accident caused by shaking or displacement, greatly reduces the security threat to construction personnel and surrounding environment when aerial work, and provides reliable security guarantee for the whole photovoltaic construction process.

The invention provides a converter unmanned deslagging monitoring method and device based on artificial intelligence. The method comprises the following steps: acquiring historical image data of a converter deslagging process; performing labeling and feature extraction on the historical image data; establishing a database based on the extracted features, and training a slag tapping monitoring model by using the database, so that the slag tapping monitoring model learns, identifies and judges normal slag tapping, abnormal slag tapping, starting of converter steel slag outflow, slag tapping ending, the position relationship between the normal converter and the slag tank and the position relationship between the abnormal converter and the slag tank; and deploying the trained slag tapping monitoring model in an actual production environment, monitoring the unmanned slag tapping process of the converter in real time, and providing a slag tapping process and an alarm prompt. According to the invention, through intelligent identification of the AI model, a more comprehensive safety monitoring means is provided, and intelligent monitoring is realized; in addition, whether the position relation between the converter and the slag ladle is normal or not can be recognized and judged, and reliable safety guarantee is provided for unmanned operation.

The utility model discloses an efficient medicine powder crusher which comprises a machine frame, a feeding hopper is fixedly connected to the top of the machine frame, the feeding hopper is obliquely arranged, one end of the low position of the feeding hopper is connected with a feeding bin, the feeding bin is fixedly connected with the machine frame, a crushing shaft is rotationally connected into the feeding bin, and the crushing shaft is fixedly connected with the machine frame. The bottom of the feeding bin communicates with a material temporary storage bin, a feeding auger is rotationally connected into the material temporary storage bin, and the bottom of the material temporary storage bin communicates with the top of the smashing tank through a conveying pipeline. The efficient medicine powder crusher adopts a multi-stage collaborative crushing structure, so that the crushing efficiency and the crushing quality are improved; during feeding, the inclined feeding hopper is matched with the crushing shaft and the crushing cutter to preliminarily crush large-particle raw materials; in the crushing tank, the crushing shaft, the crushing rod and the crushing plate with the bulge form multiple crushing, so that the medicine powder is impacted in all directions, the granularity of the crushed medicine powder is uniform, the pharmaceutical process and the medicine effect are guaranteed, and the production quality is improved.

The utility model discloses an automobile seat safety belt fixing structure, which is characterized in that a safety belt lower lock catch is fixed at the lower side end of a seat framework and is exposed outside a seat surface sleeve, an upper safety belt plug and a lower safety belt plug are sleeved on a safety belt braid, and the safety belt lower lock catch is used for the insertion of the lower safety belt plug; the upper lock catch assembly comprises a metal plate support and a safety belt upper lock catch for an upper safety belt plug to be inserted, the metal plate support is welded to the side end of the upper portion of the seat framework and located at the end opposite to the safety belt lower lock catch, a mounting hole for a bolt to penetrate through is formed in the metal plate support, and the safety belt upper lock catch is fixed to the metal plate support in the mode that the bolt is matched with a nut. An opening is formed in the position, corresponding to the safety belt upper lock catch, of the seat face cover, the opening is closed through a zipper, and the safety belt upper lock catch can be exposed when the zipper is unzipped. The child seat can meet the using requirements of children and adults, and meanwhile the safety and comfort of sitting of the children are improved.

The invention discloses an organic silicon system fabric coating adhesive as well as a preparation method and application thereof. The fabric coating adhesive comprises a component A and a component B in a mass ratio of 1: (0.8-1.2), the component A comprises base glue, vinyl silicone oil, an adhesion promoter and a catalyst; the component B comprises base rubber, vinyl silicone oil, a cross-linking agent, an inhibitor and a modified coupling agent, wherein the modified coupling agent is a tetraethoxysilane modified 3-glycidyl ether oxypropyl trimethoxy silane coupling agent. The fabric coating adhesive disclosed by the invention has a good adhesion effect on fibers and excellent wear resistance and tear resistance; meanwhile, the material has remarkable advantages in the aspect of damp-heat aging performance, the performance is almost not attenuated after 17-day damp-heat aging, and the long-time use requirement of the safety air bag in a complex environment can be better met.

The present invention belongs to the field of gas monitoring technology, specifically to a system, method and device for monitoring characteristic gases of electrical fire hazards in high-rise buildings. The monitoring system includes a sensor network module, a fault diagnosis module, a data processing center module and an alarm and notification module. The present invention receives ventilation system fault hazard data, generates a comprehensive index at the same time based on these data, monitors the change trend of the comprehensive index in real time, and uses a sliding window algorithm for continuous monitoring, so as to timely identify abnormal operation or failure of the ventilation system; through real-time monitoring, dynamic adjustment and fire hazard assessment, the safety management capability of the internal environment of high-rise buildings is significantly improved, the safety and stability of the equipment during operation are ensured, and at the same time, potential fire risks are effectively prevented and monitored, providing reliable safety protection for residents and operators in the building.

The utility model discloses a single stand column steel wire rope stacking machine and warehouse system, the steel wire rope sets up in the outside of stand column, single stand column steel wire rope stacking machine includes the cargo platform, and the steel wire rope is connected and drives the cargo platform to go up and down. The cargo platform is connected with the anti -fall mechanism, and the anti -fall mechanism is sleeved on the brake guide rail of stand column, including drive swing rod and brake block, and the brake block has brake gap with brake guide rail, and drive swing rod includes fixed end and movable end, and movable end of drive swing rod is connected in brake block, and the cargo platform is provided with brake cable, and brake cable connects movable end of drive swing rod, when the cargo platform loses speed and falls, brake cable drives drive swing rod swing, and drive swing rod drives brake block to move to be close to brake guide rail, to prevent the cargo platform from falling.

The invention discloses a cross-platform machine changing method and device supporting credential creativity, equipment and a storage medium, and relates to the technical field of computer system migration, and the method comprises the following steps: obtaining a user selection operation through a GUI or CLI, and packaging user data, system configuration and an application program; transmitting the to-be-migrated data packet to target equipment in an online, offline or cloud transfer mode; and performing integrity verification and decompression on the target equipment, and respectively recovering the user data, the system configuration and the application program to corresponding positions according to the to-be-migrated list file, the desktop environment of the target equipment and a preset cross-release version dependency mapping table. The problem of tool function splitting is eliminated through synchronization of the GUI and the CLI, and the operation threshold of a common user is lowered. The whole process from key derivation, data encryption to integrity verification is safe through the national secret algorithm, leakage and tampering of data in the transmission and storage process are effectively prevented, the requirements of the creative industry are met, and reliable guarantee is provided for sensitive scene data migration.

The utility model discloses an elevator car roof maintenance safety protection device, and particularly relates to the technical field of elevator car roof maintenance safety protection, the inner side of a device main body is provided with a tool hook, the right side of the tool hook is provided with a part storage bag, and the outer side of a fixing claw connecting block is provided with a fixing claw. Buffer foam is arranged in the supporting iron plate main plate, when a maintainer carries out maintenance, tool and part management of the maintainer is facilitated through the design of tool hooks, the working efficiency is improved, and through the design of a part containing bag, needed parts can be rapidly obtained when the maintainer carries out maintenance and under the emergency situation, and the maintenance efficiency is improved. The working efficiency of maintenance personnel during maintenance is greatly improved, the practicability of the device is further enhanced through the fixing claws, the device can be kept stable when facing various complex maintenance environments, the friction force of the device between walls can be increased through the fixing claws, the buffering foam is added into the supporting iron plate main plate, and the supporting iron plate main plate is prevented from being damaged. And the impact resistance of the equipment can be improved.

The invention discloses an automatic slurry supply system and method of an absorption tower, and relates to the technical field of absorption towers, the automatic slurry supply system comprises a primary absorption tower, a secondary absorption tower and a central controller, the absorption tower is connected in series with a boiler flue gas outlet pipeline, and the pipeline is provided with a flowmeter. The absorption tower is connected with the primary slurry storage tank and the secondary slurry storage tank through a slurry supply conveying pipeline, and a slurry supply electric adjusting door, a bypass and a standby door are arranged in the pipeline. An inlet of the slurry storage tank is connected with a slurry making device through a slurry making pipeline; and a multifunctional water quality monitor and all parts in the absorption tower are wirelessly connected to a central controller. And the central controller calculates the maximum value and the minimum value and the opening value of the slurry supply electric adjusting door, adjusts the opening according to the pH value range, and regularly maintains equipment and processes faults. The slurry supply amount can be accurately controlled, the system reliability is improved, and the slurry quality and the system safety are guaranteed.

The utility model discloses a teaching device for a marine fixed carbon dioxide fire extinguishing system, which comprises a base and a carbon dioxide gas cylinder group, a positioning mechanism is arranged at the top of the base, a support is fixedly connected to the top of the base, a gas cylinder control box and an alarm box are fixedly connected to one side of the support respectively, and the alarm box is fixedly connected to the other side of the support. The top of the carbon dioxide gas cylinder set is fixedly connected with a header pipe, one end of the header pipe is fixedly connected with a first branch pipe, combustible materials are heated, the heating speed is high, the heating time is short, automatic power off is achieved after heating is completed, and the gas alarm controller has the functions of detecting the CO2 concentration of a practical operation room and monitoring the oxygen content. According to the utility model, a sound-light alarm is given out, a real scene is effectively restored, through the training of the set of equipment, the on-site coping ability and the maintenance skill of sailors and offshore operation personnel when the ship has a fire can be greatly improved, and the safety of the offshore ship and life and property is protected.

The utility model provides a kind of high-speed drill rig combination machine tool, high-speed drill rig combination machine tool includes machine tool body and the maintenance bin of installation in the one side of machine tool body, it is characterized in that, fixed with wiring bin in maintenance bin, the top wall and bottom wall of wiring bin are all fixed with multiple static contacts, the inside wall of wiring bin is equipped with telescopic component and conducting component, conducting component is telescopic by telescopic component, one end of conducting component rotates in one end of telescopic component, conducting component and static contact electrically connected, and the other end of conducting component is from the surface of wiring bin and maintenance bin and fixed with the knob of multiple edges, and the outside of maintenance bin is also slidably provided with the adjusting component for adjusting knob rotation angle, the utility model provides a kind of high-speed drill rig combination machine tool, can be selected according to actual scene, solves, existing device opens protective cover and will cause machine tool unexpected power failure etc.

The application relates to a chromatographic data monitoring management method and system, and relates to the field of data management, which comprises the following steps: collecting a chromatographic data transmission state; when the chromatographic data transmission state is not a preset transmission interruption state, collecting chromatographic data transmission information; according to the chromatographic data transmission information, data priority and data resource occupation rate are retrieved; based on the data priority and the data resource occupation rate, a data transmission sequence is generated; data transmission is performed through the data transmission sequence, and a chromatographic task flow is collected; based on the chromatographic task flow, a chromatographic task log is generated, and the chromatographic task log is written into a preset task storage. The application has the effect of improving the analysis efficiency of chromatographic data.