15results about How to "Avoid sudden failure" patented technology

The invention relates to the field of transformer parameter regulation and control, in particular to a parameter optimization method and device for a coupling type transformer. The method comprises the following steps: acquiring multi-dimensional real-time working monitoring parameters and real-time working environment state parameters of the coupling type transformer; performing nonlinear dynamic analysis and global state sensing modeling on the multi-dimensional real-time working monitoring parameters so as to construct a transformer global state sensing model; performing multi-parameter combination definition on the multi-dimensional real-time working monitoring parameters, performing dynamic operation simulation based on a transformer global state sensing model, and collecting operation simulation response data of a plurality of schemes; performing multi-target dynamic balance analysis on the operation simulation response data of the plurality of schemes to obtain an optimal transformer working parameter combination; and carrying out environment dynamic parameter change analysis on the real-time working environment state parameters, and constructing a real-time environment condition distribution field. According to the invention, efficient and self-adaptive adjustment transformer parameter optimization is realized.

The invention discloses a numerical control machine tool motor operation monitoring method and system based on data analysis, which are used in the field of motor monitoring and fault diagnosis, and the method comprises the steps: collecting working condition data corresponding to the operation process of a numerical control machine tool motor; establishing a temperature change trend model, and predicting temperature change conditions of the motor of the numerical control machine tool under different working conditions; combining the extracted frequency and amplitude with the prediction result of the temperature trend model, and judging the current operation state of the numerical control machine tool motor; and setting a threshold value of the working condition data, comparing a classification analysis result with a preset threshold value, and automatically triggering a multi-stage early warning mechanism when monitoring that the working condition data of the motor of the numerical control machine tool exceeds the threshold value. According to the method, preventative maintenance is realized, sudden faults are avoided, the motor is ensured to operate under efficient and stable conditions by determining the optimal electrical working range and real-time monitoring data, energy consumption is reduced, the service life of equipment is prolonged, and intelligent motor state analysis and prediction are realized.

The present application belongs to the technical field of photovoltaic equipment monitoring fault early warning, and relates to a photovoltaic equipment cluster benchmarking analysis and implicit fault early warning method and system. The system collects basic parameters and implicit associated data of photovoltaic equipment through a data acquisition module to ensure data comprehensiveness and timeliness. Through a data fusion module, the collected data is processed and fused to generate a standardized data sequence. Through a cluster benchmarking module, the photovoltaic equipment is divided into different clusters, a group health benchmark is constructed, and the model accuracy is improved through individual difference calibration. Through a dynamic early warning module, early warning information is generated, and a basis is provided for subsequent fault troubleshooting. Through an intelligent operation and maintenance module, early warning is prioritized and an operation and maintenance scheme is generated, which is pushed to operation and maintenance personnel for optimization guidance. The present application can realize accurate benchmarking analysis and implicit fault early warning of photovoltaic equipment clusters, and reduce the failure rate.

The present invention relates to the field of seat cushion frame detection technology, and in particular to a method and system for automobile seat cushion frame fatigue testing. The method comprises the following steps: obtaining automobile seat cushion frame sample information data; screening key parts of the frame for the automobile seat cushion frame sample information data to obtain key part screening data for the frame; collecting sensor data for the automobile seat cushion frame sample based on the key part screening data for the frame to obtain stress sensor collection data and deformation sensor collection data; designing a loading mode for the automobile seat cushion frame sample information data to generate automobile seat cushion frame fatigue loading mode data. The present invention improves the accuracy and reliability of automobile seat cushion frame fatigue testing by accurately screening key parts of the frame, designing a true loading mode, conducting in-depth damage detection, life prediction, and material optimization.

The present invention relates to the technical field of state monitoring and analysis of a twenty-high rolling mill, and relates to a state degradation modeling method for a twenty-high rolling mill under the action of vibration-wear coupling. By performing data analysis on vibration data of each key part of a target twenty-high rolling mill corresponding to each target monitoring time point, the vibration characteristics of each key part of the target twenty-high rolling mill corresponding to the target monitoring time period are obtained through analysis. Meanwhile, based on the wear data of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point, the wear characteristics of each key part of the target twenty-high rolling mill corresponding to the target monitoring time period are obtained through analysis. Then, a reference vibration-wear coupling model of each key part of the target twenty-high rolling mill corresponding to the target twenty-high rolling mill is established. Finally, the state degradation evaluation of each key part of the target twenty-high rolling mill corresponding to the target twenty-high rolling mill is performed, which effectively ensures that the degradation and failure of the equipment are discovered in time, thereby taking preventive maintenance measures and effectively avoiding sudden failure of the equipment.

The utility model discloses a kind of gate sealing devices of shield machine, belong to shield machine gate technical field.Aiming at the problem that shield machine gate sealing effect in prior art needs to be improved, the utility model greatly improves sealing reliability by bilateral main and auxiliary sealing elements synergistic effect, slag ring active interception impurity, compression spring provides thrust to continue to compensate the wear of dynamic sealing lip, ensure the close fit under high pressure;Pressure cavity introduces medium pressure to form self-tight type sealing, significantly reduce sealing lip load, prolong service life;Leakage chamber design combines pressure detector and indicator light, realize real-time alarm and early intervention of leakage, avoid sudden failure;Grease hole supports maintenance without stopping, inject sealant can temporarily repair microleakage.The overall structure has self-adapting sealing ability under high pressure, complex working condition of slag, maintenance cost is significantly reduced, safety redundancy is comprehensively enhanced.

The invention relates to the technical field of equipment operation and maintenance, and discloses a fire-fighting equipment intelligent management system and method based on the Internet of Things, and the system comprises a sensing layer which comprises a sensor and is used for collecting the fire-fighting state information of fire-fighting equipment in real time; the Internet of Things communication layer is used for transmitting the fire-fighting state information collected by the sensing layer to the application layer; the application layer is provided with a data processing module, a storage module and a user interaction module, the data processing module is used for analyzing and processing the received fire-fighting state information, and the storage module is used for storing historical data and real-time data of fire-fighting equipment. The system can accurately collect the state information of the fire-fighting equipment in real time, and grasp the physical parameter state of the fire-fighting equipment at any time; the Internet of Things communication layer realizes stable and efficient data transmission with the application layer, and the system can quickly and accurately transmit information acquired in real time to the application layer for processing, thereby providing data support for timely decision making.

The invention discloses a connecting structure of an air inlet pipe in furnace tube type equipment and a fixing method of the connecting structure, and belongs to the technical field of pipe joint and pipe supporting, the connecting structure comprises a reaction cavity, an exhaust manifold arranged at the bottom of the reaction cavity and an air inlet pipe arranged in the reaction cavity, and further comprises an air inlet pipe fixing structure; the air inlet pipe fixing structure comprises an air outlet short pipe, a positioning ring and a clamping ring. A stepped cylindrical surface is arranged at the upper part of the air outlet short pipe; the positioning ring comprises a ring piece and a positioning column arranged on the ring piece; the clamping ring is of an annular structure with the span larger than 180 degrees. By means of the multi-point insertion matching design of the positioning columns and the positioning holes, accurate centering and powerful radial constraint of the air inlet pipe in the air outlet short pipe are achieved, and the possibility that the air inlet pipe shakes in the radial direction in the operation process is fundamentally eliminated. Due to the matching design of the arc-shaped clamping grooves and the protrusions, double mechanical locking in the axial direction and the circumferential direction is provided, the reliability is far better than that of traditional welding, and connection failure caused by thermal stress is completely eradicated.

The utility model relates to a two-wheeled electric vehicle turning handle fatigue test tool, which comprises a tool table and is suitable for forward and reverse bidirectional fatigue test of a to-be-tested handlebar. A fixing seat is arranged on the tool table, a torsion mechanism and a pressing mechanism are symmetrically arranged by taking the fixing seat as a symmetric center, the torsion mechanism is used for a fatigue test of the rotating handle and comprises a motor for clamping the rotating handle to rotate in a reciprocating manner, and the pressing mechanism is used for a brake fatigue test and comprises a cylinder for pressing a brake in a reciprocating manner. According to the fatigue test tool for the turning handle of the two-wheeled electric vehicle, by simulating a long-time and high-frequency use scene, the problems of material fatigue, structure looseness, electronic element aging and the like are exposed in advance, and sudden failures in actual use are avoided.

The application discloses an array consistency real-time monitoring and compensation method and system. A MEMS microphone is built in a non-central area 2-5 mm in front of a diaphragm of each loudspeaker unit to establish a factory reference sound pressure / phase database; a radiation sound pressure signal of each unit is collected in real time during operation, current frequency response and phase are calculated, and a deviation value is obtained by comparison with the reference; when the threshold is exceeded, the driving level / delay compensation amount is calculated in the full frequency band of 20Hz-20kHz, and automatic adjustment is performed; the aging trend is predicted through linear regression, and early warning is performed within 72 hours when the threshold is exceeded. After the unit linear array of the embodiment 8 is operated for 3 years, the sound pressure consistency is compensated from the deteriorated ±4.2dB to ±0.8dB, the phase consistency is compensated from ±18° to ±3°, and the directivity half-power angle is restored from 28° to 10.5°.

The present application relates to steel box girder hoisting technical field, and disclose a kind of suspension bridge steel box girder hoist and hoisting method.The suspension bridge steel box girder hoist includes top plate and lifting plate, and lifting plate is provided with installation limiting prompting mechanism.The present application is realized by setting up synchronous component, four clamping points are mechanically linked clamping, effectively solve the problem of poor synchronism and uneven clamping force caused by clamping one by one in prior art, when operator rotates screw block, connecting rod drives stud rotation, stud drives threaded moving block movement, threaded moving block drives rack sliding in limiting block, rack drives gear rotation, gear drives bidirectional screw in connecting block rotation through connecting shaft, two clamping blocks on bidirectional screw move synchronously, form uniform clamping to the upper and lower flange plate of steel box girder body, since rack and gear at four lifting points are linked through unified transmission chain, ensure that four groups of bidirectional screw rotate synchronously with same speed and number of turns.

This invention relates to the field of special high-temperature resistant cable technology, and in particular to a multi-level collaborative protection high-temperature cable with self-sensing early warning and active heat dissipation functions. It includes an intelligent sensing soft conductor core, which is sequentially covered with an active oxygen barrier buffer layer, a phase change energy storage-thermal conductive composite insulation layer, and a microchannel active heat dissipation protective layer. This invention achieves precise positioning and coaxial distribution of the sensing fiber by adding an optical fiber positioning and limiting component to the intelligent sensing soft conductor core, avoiding data distortion caused by fiber misalignment and compression. Combined with a femtosecond laser micro-damage thermal regeneration grating thermal sensing fiber and a zirconia fiber oxygen sensor, it can monitor the conductor temperature field and oxygen permeation status in real time and accurately, transforming the hidden oxidation aging process into quantifiable data trends, achieving early warning of failure, and preventing sudden failures.

The invention discloses a deep-well pump operation performance online monitoring control method and system, and particularly relates to the field of intelligent operation and maintenance of industrial equipment.The deep-well pump operation performance online monitoring control method comprises the steps that a deep-well pump multi-physics coupling digital twin is constructed and driven in real time, and a panoramic virtual monitoring data set is generated; performing space-time alignment and feature fusion on the virtual data and the physical sensor data, and constructing a dynamic causal knowledge graph by using a time-varying causal discovery algorithm; when the performance is abnormal, a fault source is positioned through reverse reasoning along a map, unsupervised quantitative scoring of performance degradation is realized through improving an auto-encoder, and an accurate diagnosis report is generated; based on a diagnosis report and a causal atlas prediction path, dynamically calculating a safe operation toughness boundary, solving a multi-constraint problem in the boundary by adopting an improved optimization algorithm, and generating a self-adaptive control instruction; and comparing actual response data with predicted response data, and synchronously correcting a digital twin model, a causal map edge weight and boundary calculation logic through Bayesian optimization and association mining by utilizing cognitive deviation.

The utility model discloses a kind of silicon-carbon rod impurity collectors, specifically relates to silicon-carbon rod impurity collection technical field, including support assembly, the support assembly upper portion is equipped with separation assembly, the support assembly upper portion is equipped with driving assembly, the support assembly upper portion is equipped with scraping component, the support assembly rear portion is equipped with collection assembly, the support assembly inner chamber is equipped with several silicon-carbon rod bodies.The utility model said a kind of silicon-carbon rod impurity collector, by the support assembly and separation assembly of design can be realized and gas are separated to impurity, carry out separate collection impurity, the impurity generated when silicon-carbon rod works is often fine particle and will flow along with ascending airflow, and ascending airflow carries impurity and hits curved surface block for a moment, impurity will suddenly lose kinetic energy and quickly separate airflow, even micron level small particle can be effectively captured, significantly improve impurity separation effect, without complex filter membrane and adsorbent.

This invention discloses a method, system, electronic device, and medium for monitoring the remaining life of an RV reducer, comprising: obtaining the rated working life of the RV reducer under rated output torque and rated output speed; calculating the output torque and output speed based on the input torque and input speed of the RV reducer under each working trajectory; calculating the wear life of the RV reducer under each working trajectory based on the number of operations under each working trajectory, and the output torque and output speed of the RV reducer under each working trajectory; and calculating the remaining life of the RV reducer based on the rated working life and the wear life of the RV reducer under each working trajectory.