112 results about "Vibration threshold" patented technology

The invention relates to the technical field of hydropower station detection and early warning, in particular to a hydropower station unit safety early warning method and related equipment, and the method comprises the steps: collecting vibration data in real time, analyzing the vibration state of a unit, timely finding the abnormality of the vibration state of the unit, and carrying out early warning. Based on the vibration data of normal operation and the fault historical data, the vibration characteristic model is constructed, the vibration threshold value is scientifically set, the accuracy and practicability of the early warning system are improved, and the health state of the unit can be comprehensively evaluated by defining the comprehensive fault severity index and combining multiple vibration characteristic parameters.

The invention relates to the technical field of equipment monitoring, in particular to an intelligent monitoring method and system for ship power equipment, and the method comprises the following steps: synchronously collecting the operation time sequence data of the equipment; based on the ship power transmission topological structure, generating a dynamic physical constraint model between devices; and inputting the collected equipment operation time sequence data into the dynamic physical constraint model, calculating a host-gear box torque transmission residual error and a gear box-shafting rotating speed matching residual error sequence, and when the zero-crossing rate sudden change frequency of any residual error sequence exceeds a preset sudden change frequency threshold value in a preset time window, triggering an early warning mechanism. Compared with the limitation that a traditional single-point vibration threshold method cannot cover a multi-node cooperative fault, the cross-equipment coupling fault recognition rate is increased, and the coverage range of the cross-equipment coupling fault is widened.

The invention relates to the technical field of industrial automatic detection, in particular to a collaborative visual detection method and system for an SMT production line, and the method comprises the steps: obtaining a beat reference signal which is synchronous with the periodic motion beat of a mounting head in the SMT production line; determining a stable acquisition window of which the vibration intensity is lower than a preset vibration threshold value; in the stable acquisition window, sending a synchronous trigger instruction to a plurality of visual inspection cameras deployed on the SMT production line in a unified manner; performing space-time alignment processing on the multi-path image data; performing motion blur correction processing on the image data subjected to the space-time alignment processing; and carrying out validity verification on the result of the space-time alignment processing, and executing a preset exception processing strategy when the verification result indicates that the verification fails. According to the invention, the beat reference signal synchronized with the motion beat of the mounting head is directly obtained, and the opportunity decision of image acquisition and the real-time vibration monitoring result are deeply bound, so that the double strategies of beat synchronization and vibration avoidance are realized.

The invention provides an automatic storage method and system for glass plate processing, and relates to the technical field of glass plate transfer, the method comprises the following steps: after detecting that a glass plate is in contact with a carrying frame, acquiring first pressure data detected by each supporting point in real time; if the first pressure data is smaller than or equal to the first pressure threshold value all the time, the pressure difference value between the different supporting points is calculated; after the two supporting points with the pressure difference values larger than a second pressure threshold value are determined, the glass plate is controlled to move in the direction where the supporting point with the small pressure value is located till the pressure difference values are both smaller than the second pressure threshold value; and after the carrying frame starts to move, if it is detected that the vibration amplitude is larger than a preset vibration threshold value or the second pressure data is larger than the first pressure threshold value, abrasion early warning is conducted. By implementing the method, stress concentration caused by non-uniform supporting can be reduced, so that the damage risk is reduced, and the stability and safety of the glass plate in the carrying process are effectively ensured.

The invention relates to the technical field of intelligent monitoring, and discloses a pipeline corrosion monitoring method and system based on an ultrasonic thickness sensor, electronic equipment and a storage medium, and the method comprises the steps: arranging the ultrasonic thickness sensor at a vulnerable position of a pipeline, collecting the thickness data of the pipeline, building a data-position matrix, and judging whether offset data occurs or not; when the offset data exists, pipeline vibration data are collected and compared with a vibration threshold value, and whether data interference exists or not is judged; when it is judged that data interference exists, the thickness data of the pipeline is collected again after waiting time, and the pipeline corrosion amount is determined according to the second data-position matrix and the standard pipeline thickness; determining the current state parameter and comparing the current state parameter with a historical parameter, and determining a cycle detection interval; and recording the corrosion amount of the pipeline during each cycle of detection, and performing early warning when the corrosion amount of the pipeline is higher than a corrosion threshold value. The anti-interference capability is improved by analyzing the offset data, and the false alarm rate is reduced and the detection precision is improved by multiple times of data acquisition and comparative analysis.

The invention relates to the technical field of distributed optical fiber sensing, in particular to an SVM-based optical cable knocking positioning method and system, and the method comprises the following steps: knocking a manhole cover or the ground above a target optical cable through a hammer; collecting and caching vibration signal data of the optical cable; extracting the vibration signal data to obtain knocking waveform feature information; and inputting the extracted knocking waveform feature information into the SVM model to obtain a judgment result. According to the method, six types of features including an average value, a standard deviation, a variance, a maximum value, a median and a variable coefficient in a to-be-identified signal are extracted and then sent to an SVM model for identification. Non-manual knocking interference is eliminated, optical cable positioning is efficiently and rapidly achieved, and the false alarm rate of the system is reduced. Moreover, the vibration threshold value does not need to be set manually, the scene adaptability is enhanced, and the intelligence of the optical cable routing detector system is further improved. Therefore, the problem that an existing cable knocking positioning method is low in recognition precision is solved.

The invention relates to the technical field of vibration monitoring, in particular to a rotating machine vibration protection method and system based on particle swarm optimization, and the method comprises the steps: obtaining a corrected load torque based on a polynomial fitting temperature compensation algorithm in combination with a real-time environment temperature and a sensor output voltage, and synchronously calculating an actually measured vibration amplitude; configuring the number of variational mode decomposition layers according to the real-time rotating speed of the rotor to obtain a preprocessed vibration signal, adjusting the number of independent component analysis iterations according to the load torque, separating the preprocessed vibration signal to obtain independent vibration components, and generating a feature vector; calibrating adaptive resonance theory network parameters based on a particle swarm optimization algorithm, obtaining a normalized feature vector, calculating the similarity with a fault feature template, outputting a diagnosis result, calculating the deviation between an actually measured vibration amplitude and a normal vibration threshold, and performing compensation according to the diagnosis result and the deviation. According to the scheme, the fault diagnosis accuracy of the rotary mechanical vibration protection system is effectively improved through multi-working-condition self-adaptive diagnosis.

The embodiment of the invention discloses a data adaptive matching cable abnormal vibration early warning system and method, and the method comprises the steps: obtaining an initial vibration threshold value and vibration data detected in a preset time, carrying out the matching processing of the vibration data and a plurality of historical vibration data, and carrying out the early warning of the abnormal vibration of a cable when there is matched historical vibration data. And updating the initial vibration threshold value to a historical vibration threshold value associated with the historical vibration data, when the matched historical vibration data does not exist, performing cable abnormal vibration detection based on the initial vibration threshold value, and after the detection time reaches a preset updating period, determining abnormal vibration early warning data in the preset updating period. And adjusting the initial vibration threshold value based on the abnormal vibration early warning data to obtain an adjusted vibration threshold value, and adding the vibration data and the adjusted vibration threshold value to a database. According to the scheme, the abnormal vibration threshold value of the cable is adjusted in a self-adaptive mode, the recognition accuracy of the abnormal vibration of the cable can be improved, the false alarm rate is reduced, and then the subsequent manpower processing cost is saved.

The invention relates to a method and equipment for detecting deflection of a galvanometer motor in a medical galvanometer scanning system. The method mainly comprises the steps that a dynamic threshold value library is established, a dynamic threshold value set matched with a current scene is called, and the dynamic threshold value set comprises an angle error threshold value, a vibration threshold value and a driver temperature threshold value; acquiring inner ring control signals in real time, wherein the inner ring control signals at least comprise a motor angle error signal, a vibration signal and a driver temperature signal; carrying out quantitative fusion on the collected signals through a multi-signal weight fusion algorithm and carrying out preliminary judgment; and comparing the preliminarily judged signals with a dynamic threshold group, judging whether each signal meets a corresponding threshold condition or not, and if all the signals meet the corresponding threshold condition, judging that the galvanometer motor deflects in place. Compared with the prior art, the precision is remarkably improved, the normal skin burn risk caused by position deviation is avoided, and the high-precision safety requirement of a medical scene is met.

The invention discloses an equipment state determination method and device, a nonvolatile storage medium and electronic equipment. The method comprises the following steps: establishing an equipment simulation model of the dynamic equipment, and determining an initial vibration threshold value set through the equipment simulation model; collecting vibration data of the moving equipment, and determining whether the moving equipment has a threshold alarm event or not according to the vibration data and the initial vibration threshold value set; according to the vibration data and the initial vibration threshold value set, whether a quick change alarm event exists in the dynamic equipment is determined; according to the change trend of the vibration data, the initial vibration threshold value set and a preset reliability line, determining whether the dynamic equipment has a trend alarm event; and adjusting the initial vibration threshold set according to the threshold alarm event, the quick change alarm event, the trend alarm event and the vibration data of the dynamic equipment to obtain a target vibration threshold set. The technical problem that the running state of the equipment cannot be comprehensively determined due to the fact that the running state of the equipment is detected only through the threshold in the prior art is solved.

The invention provides a concrete structure integrity evaluation method and device based on wave velocity image diagnosis, and is applied to the technical field of geophysical exploration, and the method comprises the steps: obtaining a vibration signal, monitored by a vibration sensor in real time, of a concrete structure; when the vibration signal exceeds a preset vibration threshold value, determining the vibration signal as a target vibration signal; identifying the target vibration signal, and when the target vibration signal is an internal micro-seismic signal of the concrete structure, determining the arrival time of a first arrival wave of the target vibration signal; on the basis of a speed model generated by preorder iteration, arrival time inversion positioning is carried out on arrival time of the first arrival waves, and focus coordinates of the target vibration signals are obtained; constructing a dynamic speed model based on the arrival time of the first arrival wave and the focus coordinates; and performing real-time evaluation and damage trend analysis on the interior of the concrete structure based on the dynamic speed model. According to the invention, high-precision real-time monitoring of the wave velocity distribution of the concrete structure can be realized.

The invention belongs to the technical field of Internet of Things, and particularly relates to a dynamic threshold adaptive control algorithm based on physical model-data driving, which comprises the following steps: S1, data acquisition and input: the acquired data comprises cargo parameters, packaging parameters and environmental parameters; s2, calculating an initial threshold value, fusing the inherent attribute parameters of the goods and the packaging protection parameters through a physical model formula, and calculating an initial vibration threshold value; s3, dynamically correcting the threshold value, introducing a transportation scene correction factor according to the real-time transportation scene and transportation environment parameters, and dynamically adjusting the initial threshold value; s4, real-time monitoring and early warning are carried out, and a multi-level early warning decision-making mechanism is adopted according to the comparison result of the real-time vibration characteristics and the dynamic threshold value; and S5, performing model optimization iteration, constructing a federated learning architecture, and realizing distributed training and global optimization of the vibration threshold model. According to the method, threshold setting and adjustment aiming at different conditions are effectively realized based on a physical model, scene changes are effectively adapted, and false alarm and missing alarm are greatly reduced.

The present invention provides a method and system for detecting the operating status of a hydrogen pipeline flame arrester. The key points of the technical solution include: obtaining historical normal data and setting threshold parameters corresponding to various detection information; obtaining detection information of various sensors in real time and preprocessing it; performing time-frequency domain analysis on the preprocessed vibration information to obtain multiple IMF components and residuals, extracting vibration characteristics to perform preliminary vibration anomaly judgment; in response to abnormal vibration characteristics, calculating the dynamic vibration threshold corresponding to the current sampling moment; and making an abnormal judgment on the operating status of the flame arrester at the current sampling moment. The present invention can monitor the abnormal information of the flame arrester in real time, accurately judge the current status of the flame arrester, avoid safety hazards caused by flame arrester failure, and at the same time reduce the tedious operations of manual detection and avoid omissions in manual detection.

The invention discloses a rotor dynamic balance method giving consideration to vibration threshold control and counterweight vibration elimination efficiency, and the method comprises the steps: obtaining an original vibration signal and a key phase signal of a rotor through data collection equipment, and obtaining a vibration signal and a key phase signal after a trial weight is added; the amplitude and phase of an original unbalance signal of the rotor and the amplitude and phase of an unbalance signal after the trial weight is added are obtained after analysis and calculation, an optimization function with the maximum comprehensive vibration of balance weight reduction under the balance rotating speed as the target is constructed, and rotor dynamic balance optimization calculation is carried out based on a raccoon optimization algorithm. The balance weight giving consideration to the rotor vibration threshold constraint and the balance weight efficiency is obtained, and the maximum vibration is reduced through the minimum balance weight under the condition that the vibration control target is met; according to the method, the problem that in the traditional dynamic balance mass calculation process, a single-target optimization algorithm represented by minimum residual vibration, maximum vibration minimization and the like is difficult to consider the residual vibration amplitude and the counterweight balance efficiency at the same time is solved.

The invention discloses a traditional Chinese medicine grabbing intelligent recognition system which comprises a first conveying belt, a traditional Chinese medicine receiving hopper, a second conveying belt, a third conveying belt, a first laser device, a mechanical grabbing device, a vibration detection device and a controller. The traditional Chinese medicine is pushed to the second conveying belt, the mechanical grabbing device grabs the traditional Chinese medicine to the third conveying belt through hollow arrangement and stable movement after the image collecting device obtains the position of the traditional Chinese medicine, and the third conveying belt conveys the traditional Chinese medicine to the position corresponding to the variety of the traditional Chinese medicine. The vibration detection device is used for monitoring vibration information of the traditional Chinese medicine grabbing intelligent recognition system during operation, a vibration threshold value is stored in the controller, and if the vibration information received by the controller is larger than the vibration threshold value, the controller controls the traditional Chinese medicine grabbing intelligent recognition system to stop operating.

The invention discloses an interface switch machine state monitoring system and method based on image recognition, and relates to the technical field of computer vision, the system is composed of a plurality of functional modules, and the system comprises a data acquisition module for acquiring the interface switch machine state and weather data; the interface switch machine state comprises stretching time, a switch machine image and a laser vibration frequency spectrum, and the weather data comprises temperature, humidity and particulate matter concentration; the feature extraction module is used for receiving the state of the interface switch machine and the weather data, carrying out data fusion and generating a first feature by utilizing feature engineering; the first feature comprises an interface switch machine telescopic feature, an interface switch machine vibration feature and a corrosion image feature; the data analysis and anomaly detection module is used for extracting the telescopic characteristics and the vibration characteristics of the interface switch machine, calculating the deviation and the vibration amplitude of the locking gap, and comparing the deviation and the vibration amplitude with the gap threshold value and the vibration threshold value respectively; and when the gap locking deviation is smaller than the gap threshold value and the vibration amplitude is smaller than the vibration threshold value, continuous monitoring is conducted.

The invention provides a hydrogen pipeline flame arrester operation state detection method and system, and the key point of the technical scheme comprises the steps: obtaining historical normal data, and setting a threshold parameter corresponding to each detection information; acquiring detection information of each sensor in real time and preprocessing the detection information; performing time-frequency domain analysis processing on the preprocessed vibration information to obtain a plurality of IMF components and residual errors, and extracting vibration features to perform preliminary vibration abnormality judgment; in response to the vibration characteristic abnormity, calculating a dynamic vibration threshold value corresponding to the current sampling moment; performing abnormity judgment on the running state of the flame arrester at the current sampling moment; according to the invention, abnormal information of the flame arrester can be monitored in real time, the current state of the flame arrester can be accurately judged, potential safety hazards caused by failure of the flame arrester can be avoided, tedious operation of manual detection can be reduced, and omission of manual detection can be avoided.

The present invention discloses a method for monitoring the dust accumulation state of a power generation device. The method sets a current time zone and a benchmark time zone, collects normal operating data of the power generation device in the current time zone, and records vibration data in the current time zone that exceeds a certain vibration threshold of the current power generation device; collects the active power generation and stator blade opening of the power generation device in the benchmark time zone to form a benchmark time zone data set; calculates the average stator blade opening and average generator active power at each time point in the set; calculates health and performance change data at each time point in the current time zone, including the percentage change in stator blade opening and the percentage change in power generation efficiency; calculates the proportion of vibration records, the percentage change in stator blade opening, and the percentage change in active power; and decides whether to perform dust cleaning operations based on the calculation results. The method provides a quantitative evaluation value for the health and performance degradation of a running power generation device caused by dust accumulation, providing a reliable basis for dust removal operations.

The invention discloses an anti-falling control method and system for a tower drum of a wind generating set, and belongs to the technical field of wind power generation. The method includes: acquiring cabin vibration data of the wind generating set; determining an anti-tilting control strategy of the wind generating set based on a comparison result of the cabin vibration data, a preset threshold value and a tower permissible vibration threshold value; if part of positions in the cabin vibration data exceed a preset threshold value and exceed a tower cylinder allowable vibration threshold value, determining a shutdown mode of the wind generating set by combining blade clearance monitoring data and tower cylinder monitoring data according to the anti-tilting control strategy; and if part of the positions in the cabin vibration data exceed the preset threshold value and do not exceed the permissible vibration threshold value of the tower drum, the anti-tilting control strategy is to carry out part load reduction according to the importance degree grade of the part. The control strategy can be carried out in real time in a classified and echelon manner according to the real-time operation condition of the wind turbine generator and the early warning information of each monitoring system. The problem that multi-source information is not effectively utilized in existing unit control is solved.

The invention belongs to the technical field of automobile braking, and provides an active adjusting method and system for the mode of a brake pedal and application, and the method comprises the steps that a vibration database is constructed, and preset vibration threshold values under different vehicle working conditions and corresponding brake pedal mode adjusting strategies are stored in the vibration database; a brake pedal vibration signal is collected in real time and processed into a vibration characteristic value, and the vibration characteristic value is compared with a preset vibration threshold value in a vibration database under the current working condition; based on the comparison result, calling a corresponding modal adjustment strategy, generating an adjustment instruction and executing the adjustment instruction to actively change the mass distribution of the brake pedal and dynamically shift the intrinsic mode of the brake pedal; and the steps are executed circularly, and self-adaptive vibration suppression is carried out under different working conditions. Resonance is avoided by dynamically adjusting the mode of the brake pedal, and vibration suppression and full-working-condition adaptation can be achieved.

The invention relates to the field of large hoisting machinery construction, in particular to a crane transmission mechanism fault prediction and early warning device which comprises a box body and a probe, a cavity is formed in the box body, a vibration sensor, an analog-to-digital converter, a controller and a battery pack are fixedly installed in the cavity of the box body, and the vibration sensor is electrically connected with the probe through a telescopic connecting line. According to the device, by collecting vibration data of the transmission mechanism of the tower crane in real time and conducting analysis and prediction, potential fault hidden dangers can be found in time, an early warning signal is sent out through the early warning lamp, an operator is reminded to do maintenance work in time, and the safety of the tower crane is guaranteed. Therefore, potential safety hazards and economic losses caused by faults of the crane in the construction process are remarkably reduced, and the controller in the device can accurately judge the running state of the crane according to preset vibration threshold data and actually-collected digital signal vibration data.

The invention provides a GIS electric contact state detection method based on temperature distribution and shell vibration, and the method comprises the steps: collecting the real-time temperature and real-time vibration data of a plurality of point locations of a primary loop of GIS equipment through a sensor; setting the ratio of the temperature data in the real-time data set of a certain point position to the limit temperature threshold in the historical data set as a temperature fault coefficient; the ratio of the vibration data in the real-time data set of a certain point position to the limit vibration threshold in the historical data set is set as the vibration fault coefficient, the electric contact state of the GIS equipment at each point position is subjected to fault judgment according to the comprehensive analysis result of the temperature fault coefficient and the vibration fault coefficient, and the judgment result is more accurate and comprehensive; observation is facilitated, and whether the point location breaks down or not can be judged in advance. The electric contact fault of the primary circuit of the GIS equipment can be found and recognized early, and early warning is achieved.

The invention relates to the technical field of shock absorption structures, in particular to a shock absorption and isolation platform locking control device. A locking mechanism of the shock absorption and isolation platform locking control device comprises a main body, a driving piece and at least one locking piece. The locking piece is movably connected with the main body and at least provided with a locking position which abuts against the first plate body to limit the first plate body to move relative to the second plate body and an unlocking position which is separated from the first plate body; the driving piece is connected with the main body and is used for driving the locking piece to change the position between the locking position and the unlocking position; the monitoring sensor is used for monitoring environment vibration; and the controller is used for controlling the driving piece to act to drive the locking piece to unlock when the environment vibration monitored by the monitoring sensor exceeds a vibration threshold value or an earthquake early warning signal is received. The operation stability of the seismic mitigation and isolation platform can be improved, the seismic mitigation and isolation platform can be unlocked instantly during an earthquake, and therefore the seismic mitigation and isolation function of the seismic mitigation and isolation platform can be effectively guaranteed.

The invention discloses a method for detecting abnormal vibration of a range hood and lampblack treatment equipment adopting the method, and belongs to the technical field of kitchen appliances. The method comprises the following steps: S1, data acquisition: acquiring a rotating speed n and a vibration amplitude; s2, judging the stability of the rotating speed, namely judging whether the rotating speed is stable or not, if so, executing the step S3, and if not, executing the step S4; s3, carrying out interval classification on the rotating speed, respectively carrying out vibration threshold comparison, and if the vibration amplitude is greater than the vibration threshold of the corresponding interval, triggering a vibration abnormity alarm; step S4, acquiring a continuous unstable time length T; if T is greater than or equal to Tth, executing the step S5, and if T is less than Tth, judging that transient interference exists; and S5, judging whether the rotating speed exceeds the limit or not, if yes, starting speed reduction protection and triggering a user alarm, and if not, returning to the step S4. By synchronously monitoring the rotating speed and the vibration data and combining rotating speed stability judgment and inter-partition vibration threshold value comparison, misjudgment is prevented, and therefore the use safety is improved.

An example method includes receiving time series vibration data for a plurality of components of a plurality of wind turbines. Based on the time series vibration data, a plurality of groups of wind turbines are defined, and a first vibration threshold and a second vibration threshold for each group. Time series vibration data of a component of a particular wind turbine is received. A particular group including a particular wind turbine and particular first and second vibration thresholds are identified. It is determined that the vibration of the component has exceeded a particular first vibration threshold. A prediction of at least one of a time period before the vibration may exceed the particular second vibration threshold and a future date at which the vibration may exceed the particular second vibration threshold is generated. An alert including the particular wind turbine and at least one of the time period and the future date is generated and provided.

A method, device, and medium for controlling a liquid crystal glass sunshade are provided. The method includes the following steps: in a turn-off state, obtaining a vibration signal feedback from a vibration sensor; if the vibration signal exceeds a preset vibration threshold and simultaneously detects a presence of light intensity signal input from a photosensitive sensor and voltage input from a solar panel, the liquid crystal glass conducts with a power module and enters a turn-on state; in the turn-on state, obtaining the vibration signal feedback from the vibration sensor; if the vibration signal does not exceed the preset vibration threshold within a first preset time, or if a battery level of the power module is lower than the a battery level threshold, the liquid crystal glass will disconnect from the power module and enter the turn-off state.

The invention discloses a remote real-time sand excavation engineering ship operation parameter identification method and system, and belongs to the technical field of sand excavation engineering ship monitoring. Position information of a sand digging engineering ship, engine vibration information, noise information and attitude information of a sand digging pipe and a sand digging rod are collected respectively; the cloud application layer is combined with an engine vibration threshold judgment model to recognize the operation time period of the sand excavation engineering ship, obtains the operation depth of the sand excavation engineering ship through a posture-geometric calculation model and a device position relation, and recognizes the operation area of the sand excavation engineering ship through a space coordinate matching model; the number of operation tools of the sand excavation engineering ship is recognized through the equipment online state statistical model, data verification and early warning triggering are carried out, and operation supervision of the sand excavation engineering ship is achieved. According to the invention, the problems of inaccurate monitoring, weak data fusion capability and difficulty in realizing whole-process refined management and control of the existing river sand excavation supervision means are solved.

The invention relates to the technical field of vehicle brake-by-wire, and discloses a pipeline leakage detection method and system for a brake-by-wire system, and the method comprises the steps: obtaining the temperature, longitudinal acceleration and pressure of a pipeline; performing temperature anomaly judgment according to the pipeline temperature and a preset temperature threshold value to obtain a temperature anomaly signal, and performing pressure anomaly judgment according to the pipeline pressure and a preset pressure threshold value to obtain a pressure anomaly signal; performing vibration analysis according to the longitudinal acceleration to obtain a relative vibration abnormal value; when the temperature abnormal signal or the pressure abnormal signal is received and the relative vibration abnormal value is larger than a preset first vibration threshold value, a pipeline leakage signal is generated; generating an execution mechanism abnormal signal according to the relative vibration abnormal value; and according to the pipeline leakage signal and the execution mechanism abnormal signal, a braking state is judged, and a leakage detection result is generated. According to the method, the pipeline detection precision can be improved.

The present application provides an automated warehousing method and system for glass plate processing, which relates to the technical field of glass plate transfer. The method includes: after detecting that the glass plate touches the handling rack, obtaining the first pressure data detected by each support point in real time; if the first pressure data is always less than or equal to the first pressure threshold, calculating the pressure difference between different support points; after determining two support points with a pressure difference greater than the second pressure threshold, controlling the glass plate to move in the direction of the support point with a smaller pressure value until the pressure difference is less than the second pressure threshold; after the handling rack starts to move, if it is detected that the vibration amplitude is greater than the preset vibration threshold or the second pressure data is greater than the first pressure threshold, a wear warning is given. Implementing this method can reduce the stress concentration caused by uneven support, thereby reducing the breakage risk and effectively ensuring the stability and safety of the glass plate during handling.

This wire break detection device (20) in at least one cable (10) of a civil engineering structure comprises: – a set of acoustic sensors (14a) intended to be fixed on a cable (10) or on anchor points (11, 12) of the cable (10) so as to receive an acoustic wave when a wire or strand of the cable (10) breaks; the acoustic sensors (14a) being capable of capturing this acoustic wave; and – an analysis unit (17) capable of receiving detection information of said acoustic wave by the acoustic sensors (14a) and of locating a wire break in the cable (10) according to the locations of the acoustic sensors (14a) which detected the acoustic wave.The acoustic sensors (14a) are grouped into clusters (16a), each cluster (16a) comprising a monitoring unit (15) equipped with: – a signal acquisition card for the signals from the acoustic sensors (14a); – a memory (18) for recording and time-stamping the signals from the acoustic sensors (14a) for a predetermined period before and after exceeding an acoustic vibration threshold; and – means for transmitting the recorded signals to the analysis unit (17); the analysis unit (17) being capable of receiving all the signals recorded by the different monitoring units (15) of the same cable (10) and of characterizing and locating a wire break based on the shape of the signals. Figure for the abbreviation: Fig 1.