862 results about "Mechanical devices" patented technology

The invention discloses a mechanical equipment state monitoring method and system based on multiple sensors, and the method comprises the five core steps: multi-modal data collection and preprocessing, dynamic feature fusion, adaptive threshold diagnosis, digital twin fault tracing and predictive maintenance decision. All-domain coverage of equipment is realized through a three-layer sensor network architecture, the problems of data synchronization and interference resistance are solved by utilizing a temperature and vibration integrated sensor, deep fusion and anomaly detection of multi-source data are realized in combination with an attention mechanism, a Gaussian mixture model, a three-dimensional convolutional neural network and the like, and finally a precise maintenance strategy is generated through digital twinning and reinforcement learning. The multi-sensor-based mechanical equipment state monitoring system comprises a sensor network layer, an edge computing layer, a cloud platform layer and a man-machine interaction layer, supports federated learning to protect data privacy, improves real-time diagnosis capability through edge-cloud collaboration, and enhances a reality interface to realize intelligent operation and maintenance interaction.

The invention relates to the field of mechanical equipment health management, in particular to a large sliding bearing fault detection and evaluation method, device and system. Comprising the following steps: collecting multi-source sensing data, and constructing a comprehensive data set; constructing a state space model based on a sliding bearing physical mechanism; the multi-source sensing data and the state space model are fused through Bayesian filtering, and hidden state parameter posterior distribution is dynamically estimated; generating a virtual fault sample by using a generative adversarial network in combination with a physical rule base; designing a Bayesian space-time sequence diagnosis model based on an attention mechanism, and generating fusion health state features; processing and fusing the health state features by using a degradation process model, and predicting the remaining service life of the bearing; and based on the health state, the fault probability and the remaining service life, setting multi-stage early warning threshold values, and triggering intelligent early warning. According to the method, the defect that a single model is insufficient in adaptability and generalization ability under complex working conditions is overcome, and the accuracy and reliability of fault detection are remarkably improved.

The invention relates to the technical field of mechanical equipment state monitoring, in particular to a method and sensor for detecting temperature and vibration data of dynamic equipment, and the method comprises the steps: collecting a temperature signal and a vibration signal of the dynamic equipment, and carrying out the fusion processing, thereby obtaining a fusion feature set; establishing a feature distribution baseline based on a Gaussian mixture model, calculating a relative entropy of the fusion feature set and the feature distribution baseline, and generating a dynamic threshold sequence; constructing a detection model according to the fusion feature set and the dynamic threshold sequence, and outputting to obtain an abnormal mode label; performing time serialization processing on the abnormal mode label, predicting a fault probability in a future time period according to the abnormal mode label subjected to time serialization, and generating a fault prediction result; and performing priority ranking on the fault types in the fault prediction result, and generating a maintenance report according to a priority ranking result. The reliability and practicability of temperature vibration data detection of the dynamic equipment are comprehensively improved, and an efficient solution is provided for health management of the dynamic equipment.

The present invention belongs to the technical field of signal processing, and particularly relates to a multi-source data fusion fault diagnosis method and system based on the DS evidence theory. The method of the present invention comprises: first, collecting multi-source information of a mechanical device, wherein the multi-source information includes vibration data, image data and sound data; respectively calculating corresponding feature indicators; then, using a PCA algorithm to perform dimensionality reduction processing on the indicators; using a Bayesian fault diagnosis model to perform fault diagnosis, so as to obtain a diagnosis result from each sensor; and then, using the DS evidence theory to perform fault fusion diagnosis. The present invention can comprehensively consider the characteristics of various types of data, extract more effective fault indicators, achieve more comprehensive fault identification, and fuse diagnosis results from a plurality of sensors, thereby ensuring the accuracy of final diagnosis. The present invention is suitable for fault diagnosis of various complex mechanical systems.

The invention discloses a gap-controllable retainer and a frictional resistance measuring method thereof, belongs to the technical field of mechanical equipment manufacturing, and solves the problem that an existing device can only test a retainer with a fixed gap and cannot simulate the influence of dynamic gap change on bearing performance. The retainer capable of controlling the gap comprises a retainer body capable of adjusting the gap between the retainer body and a rolling body, a retainer moving assembly and a gap adjusting part. The gap adjusting part comprises an adjusting motor, an eccentric wheel and a motor fixing frame. According to the retainer capable of controlling the gap, the gap between the retainer and a rolling body can be dynamically adjusted, the retainer can be matched with different types of ball-disc testing machines (rotary type and linear contact type) for friction resistance measurement, the gap between the rolling body and a pocket of the retainer can be flexibly adjusted by adjusting the motor and the eccentric wheel, and the friction resistance of the rolling body is measured. And therefore, the retainer main body can meet the retaining and limiting requirements of different working conditions and different types of bearings, and the performance, the service life and the reliability of the bearings are remarkably improved.

The invention relates to a hydroelectric main shaft all-condition simulation test system and method, and the system comprises a fixed rack, one side of the fixed rack is provided with a tripping starting detection device, the fixed rack is provided with a hollow three-axis platform, a three-axis excitation system and a rotation driving part, the moving end of the three-axis platform is connected with a hollow floating rack, and a bearing is disposed in the floating rack. The rotation driving part comprises a power part and a main shaft connected to the torque output end of the power part, the main shaft is in transmission connection with the rotating disc, a hydroelectric large shaft used for a simulation test is installed on the rotating disc, and the three-shaft excitation system is used for applying X-direction, Y-direction and Z-direction high-frequency sine excitation loads to the hydroelectric large shaft of the rotating disc. The device is used for overcoming the defects that an existing testing device mainly focuses on vibration loading of a static mechanical device, simulation and performance testing cannot be carried out on dynamic behaviors under the composite working conditions of rotation, vibration and impact of a hydroelectric large shaft, and safety testing and rating cannot be carried out on a hydroelectric generating set sensor and a tripper overspeed protection device.

The invention discloses a motor current fault diagnosis method based on a de-noising diffusion probability model, and belongs to the technical field of mechanical equipment state monitoring and fault diagnosis, and the method comprises the steps: obtaining an original motor current signal sample, carrying out the wavelet transformation, obtaining a time-frequency grayscale image, and obtaining a time-frequency grayscale image; dividing the sample into a training sample used for diffusion model training and a test sample of a fault diagnosis model; constructing a diffusion model DDPM, carrying out training by adopting the training sample, and generating a pseudo sample based on the trained diffusion model; constructing a fault diagnosis model MAF-Cnet, and training the MAF-Cnet based on the training sample and the pseudo sample to obtain the trained MAF-Cnet; and inputting a test sample into the trained MAF-Cnet for diagnosis to obtain a motor current fault diagnosis result. The method solves the core problem that the generalization ability of the diagnosis model is insufficient due to scarcity of motor fault samples, improves the diagnosis accuracy, and is wider in application scene.

The invention relates to the field of agricultural machinery, in particular to multifunctional tea garden weeding, soil loosening and fertilizing integrated mechanical equipment which comprises a mounting frame, a driving module is mounted at the bottom of the mounting frame, a weeding module, a soil loosening module and a fertilizing module are mounted at the top of the mounting frame, and the weeding module comprises a power part which is fixedly connected with the top of the mounting frame; an output shaft of the power part is connected with a roller, the outer side wall of the roller is fixedly connected with a plurality of wave-shaped blades, the soil loosening module is installed in the roller, and an opening is formed in the side wall of the roller and used for loosening tea garden soil based on the centrifugal force effect; the driving module is in signal connection with a controller, the controller is in signal connection with the power piece and the fertilization module, and the controller is used for adjusting the power of the driving module and the rotating speed and the output power of the power piece according to preset terrain information. The method is used for improving the efficiency of weeding, soil loosening and fertilizing operation of the tea garden and enhancing the collaboration of all operation links.

The invention relates to a numerical control machine tool spindle predictive maintenance system, and belongs to the technical field of mechanical equipment health management and intelligent manufacturing. The main shaft driving motor real-time power processing module is used for processing the main shaft driving motor real-time power to estimate and obtain a real-time cutting torque sequence and a real-time main shaft total power sequence, and processing the multiple paths of temperature signals to obtain multiple paths of real-time temperature sequences, and the basic degradation state evaluation module is used for calculating mechanical accumulated damage quantitative indexes based on the real-time cutting torque sequence. And calculating a cumulative thermally induced damage index based on the multi-path real-time temperature sequence, and fusing the mechanical cumulative damage quantitative index and the cumulative thermally induced damage index to generate a basic degradation index. And the robustness and operability of a prediction result in a real industrial environment are remarkably improved.

The invention provides a safety grating false alarm suppression method and system based on multispectral fusion, and relates to the technical field of data processing, and the method comprises the steps: obtaining a multiband detection data set, projecting signals of different bands to a unified amplitude scale interval, comparing the amplitude change directions and the change amplitudes of different bands on adjacent time slices, and determining the false alarm of the safety grating according to the amplitude change directions and the change amplitudes. Generating a wave band correlation map, combining wave bands with consistent amplitude change directions and similar change amplitudes into aggregation units, calculating the dynamic change amplitude of each aggregation unit, identifying the concentration degree of interference signals in each aggregation unit, obtaining an interference aggregation index, rejecting the interference signals, and generating a shielding characteristic matrix; and calculating the separation degree of the shielding signal according to the result, obtaining a shielding separation ratio, generating a judgment output result, and controlling the operation state of the mechanical equipment. According to the invention, a discrimination path which is insensitive to interference and sensitive to shielding is constructed, so that false alarm of the safety grating caused by strong light, dust and high-temperature radiation is inhibited.

An artificial intelligence-based system and method facilitate enhanced interaction between users and mechanical devices such as vehicles. One system uses an application equipped with AI algorithms to process user inputs concerning specific vehicle information and issues, providing tailored recommendations and feedback. This includes automated troubleshooting, parts recommendations, and maintenance advice, aiming to improve user experience and vehicle upkeep efficiency.

The invention discloses an online health monitoring and remote control method and system for hoisting mechanical equipment, and relates to the technical field of industrial equipment health monitoring and intelligent control, and the method comprises the steps: constructing health grade judgment, credibility calculation and abnormal trend intensity analysis results into a real number BPA, carrying out the complex field expansion of the real number BPA, and carrying out the remote monitoring of the health of the hoisting mechanical equipment; obtaining a plurality of evidence sets; calculating the credibility of the plurality of evidences in the plurality of evidence set, and classifying the plurality of evidences, including high-credibility evidences and low-credibility evidences; and performing weight discount correction on the low-credibility evidence, fusing the corrected plurality of evidences by using a plurality of evidence combination rule, and generating a final health evidence value by adopting a conservative decision strategy. Therefore, a stable and credible health assessment conclusion can still be formed when various state assessment results have uncertainty or conflicts, and the conclusion is used as a remote control decision basis, so that the reliability of equipment health state judgment and the safety of a remote control process are improved.

The invention relates to the technical field of rolling bearing state monitoring, and discloses a rolling bearing performance degradation evaluation method based on kernel optimal global locality preserving projection and Sinkhorn distance, which comprises the following steps: acquiring an original vibration signal of a rolling bearing, performing feature extraction on the original vibration signal, and constructing a high-dimensional feature set; calculating and screening features in the high-dimensional feature set, and constructing a sensitive feature set; performing dimension reduction processing on the sensitive feature set by adopting a kernel optimal global locality preserving projection method to obtain a low-dimensional feature matrix; in the low-dimensional feature matrix, the difference between samples is calculated based on the optimal transmission distance of entropy regularization, and a Sinkhorn distance matrix is constructed; on the basis of the Sinkhorn distance matrix, constructing a degradation index; a health threshold is set, an early degradation point is judged through the degradation index and the health threshold, rolling bearing fault recognition and performance evaluation are achieved in combination with the change trend of the degradation index value, and technical support can be provided for health monitoring and intelligent maintenance of rotary mechanical equipment.

The invention relates to the technical field of mechanical equipment fault diagnosis, and particularly discloses a press machine fault early warning method and system, and the method comprises the steps: collecting operation state data; constructing a plurality of dynamic thresholds; automatically generating a conflict logic set according to the dynamic threshold, and calculating a priority score for the conflict logic set to generate an optimal logic result; generating press machine fault early warning information in combination with the fault prediction model; in the prior art, conflicts are easy to occur and misjudgment is caused under a multi-logic condition, and especially the technical problem that logic conflicts cannot be effectively processed and clear diagnosis and explanation cannot be provided under the condition that multiple data sources dynamically change in the operation process of the press machine is solved. According to the method, accurate fault diagnosis and clear explanation under the condition of multiple logic conflicts are realized through a digestion method combining logic conflict detection and priority scoring, so that the problem of misjudgment caused by complex decision logic is avoided, and the accuracy and interpretability of press fault early warning are improved.

The invention relates to the field of mechanical equipment fault diagnosis, and discloses a part characteristic frequency-based domain generalization fault diagnosis method and system, a medium and equipment, and the method comprises the steps: generating a part fault simulation signal based on physical knowledge of part fault characteristics, and taking the part fault simulation signal as a physical knowledge domain; adopting a deep neural network, extracting fault features from a plurality of source domains and physical knowledge domains through a feature extractor, and inputting the fault features into a full connection layer and a domain generalization adversarial network; the distribution difference between the source domain and the physical knowledge domain is minimized in the full connection layer, the distribution difference serves as a constraint condition, the constraint model learns invariant features based on the physical knowledge domain, all source domain fault feature distribution is aligned with physical knowledge domain fault feature distribution, and a fault classification result is output through a classifier; the domain to which the extracted fault features belong cannot be classified through a domain discriminator region in the domain generalization adversarial network, so that a domain classification result with common features of a plurality of domains is output. The problem caused by unbalanced domain data can be solved.

A mechanical health monitoring-oriented dynamic visual data space-time dimension adaptive intelligent noise reduction method comprises the following steps of: firstly, acquiring dynamic visual data of a mechanical equipment vibration region by using an event camera, and performing region division on the acquired data to extract a region of interest; then, the visual signal is divided into a plurality of event blocks based on a three-dimensional event window, a Gaussian distribution probability function is constructed according to timestamps of events in the event blocks, and noise filtering of the time dimension is achieved by setting a probability threshold value; and on this basis, the spatial distribution position of the event after noise reduction is further obtained, the aggregation connected domain of the event is searched, and the event in the low-density connected domain is filtered in combination with a set event number threshold value, so that space-time combined noise reduction processing is realized.

The invention relates to the technical field of refrigerators, in particular to a refrigeration cycle system for a refrigerator, the refrigerator and a working method of the refrigerator. The refrigeration cycle system comprises a compressor, a condenser, a filter, a throttling device, a liquid storage tank, an evaporator and an air return pipe which are sequentially connected in series through pipelines, a first control valve is arranged on the pipeline between the liquid storage tank and the evaporator, and a second control valve is arranged on the pipeline between the liquid storage tank and the throttling device. The liquid storage tank is pre-filled with a liquid refrigerant, and the refrigerant is quickly guided into the evaporator and then is instantly vaporized during first use by utilizing a siphoning effect, so that instant refrigeration is realized, the refrigerator can achieve an obvious refrigeration effect within a few minutes, and the first use experience is remarkably improved; secondly, the starting load can be reduced by means of siphoning, the compressor is prevented from operating in a high-load state for a long time in the initial stage, and the service life of the compressor is prolonged; in addition, the system is simple in structure, no complex mechanical device needs to be additionally arranged, and the system can be achieved only through cooperation of the liquid storage tank and the control valve.

The invention relates to a magnetic suspension bearing control system and method and refrigeration equipment, and the system comprises a magnetic suspension bearing control module which is used for controlling a magnetic suspension bearing; the battery management module is electrically connected with the magnetic suspension bearing control module; and the master control module is respectively connected with the magnetic suspension bearing control module and the battery management module and can control the battery management module to store electric energy when the voltage of the magnetic suspension bearing control module is excessive and supply power to the magnetic suspension bearing control module when the power supply of the magnetic suspension bearing control module is insufficient. According to the technical scheme of the magnetic suspension bearing control system, through cooperative work of the battery management module and the master control module, the stability, the energy-saving performance and the response speed of the system are enhanced, the service life of equipment is effectively prolonged, and the maintenance cost is reduced. The integrated solution provides a safer, more reliable and more economical operating environment for high-performance and high-precision mechanical equipment.

The invention provides an unmarked mandibular movement dynamic acquisition method, and relates to the field of dynamic reconstruction of a jaw position relationship. According to the method, feature extraction and posture calculation are performed completely based on the video image and the tooth three-dimensional model, intervention of a mark point or a mechanical device is not needed, the testee can complete collection in a natural state, an artificial interference source is eliminated, and the physiological measurement accuracy and the user experience are remarkably improved. A multi-view-angle high-speed camera system is combined with a dental crown point topological structure for modeling, multi-view-angle space reconstruction and time sequence compensation are utilized, stable tracking and high-precision reconstruction are still kept under the conditions of shielding and motion blur, and the risk of collection failure is effectively avoided. According to the method, based on dentition overall modeling and posture calculation, a complete mandibular movement track curve can be output, complex movements such as chewing, deviation, occlusion and mandibular lateral rotation can be accurately expressed, and high-quality original data is provided for clinical occlusion evaluation generation.

According to one embodiment, a condition monitoring apparatus includes a processing circuitry. The processing circuitry is configured to collect a sensor signal output from a sensor that monitors a condition of a mechanical device that is at least partially mobile. The processing circuitry is configured to diagnose a presence or absence of an anomaly in the mechanical device based on the sensor signal. The processing circuitry is configured to cut out the sensor signal in a time width according to any one or more of a speed, an acceleration, and a jerk of the mechanical device. The processing circuitry is configured to determine the presence or absence of an anomaly based on the cut out sensor signal.

The invention provides a Mn-Fe-Ni-Si-Cu-based negative thermal expansion material as well as a preparation method and application thereof, and belongs to the technical field of negative thermal expansion materials. The negative thermal expansion temperature range of the Mn-Fe-Ni-Si-Cu-based negative thermal expansion material provided by the invention covers the high-temperature and low-temperature ranges (120K-896K), and the high-temperature and wide-temperature-range negative thermal expansion effect is shown; good mechanical properties are achieved; the material has extremely high thermal and mechanical stability, and has important significance for developing high-temperature precision mechanical devices based on zero expansion. The Mn-Fe-Ni-Si-Cu-based negative thermal expansion material disclosed by the invention is low in raw material cost and simple in preparation method.

The utility model discloses a gas pipeline anti -damage early warning line fixed structure relates to gas pipeline technical field, including pressure regulating cabinet and cell -phone mobile terminal. Through set up's audible -visual integrated alarm, segmented early warning processor, video break -in monitor, detection line host computer and pipeline damage early warning detection line, make video break -in monitor can carry out monitoring early warning to the personnel and equipment of entering pipeline upper area, and send personnel break -in early warning signal to cell -phone mobile terminal through segmented early warning processor, audible -visual integrated alarm carries out audible -visual alarm and reminds personnel and mechanical equipment to pay attention to entering gas pipeline area, when mechanical equipment excavates on pipeline upper, pipeline damage early warning detection line is destroyed, and detection line host computer detects excavation signal, and segmented early warning processor receives excavation signal and dials a call early warning reminder to cell -phone mobile terminal, and audible -visual integrated alarm carries out audible -visual alarm and reminds construction personnel and mechanical equipment to stop construction immediately, guarantees the accuracy of pipeline early warning.

The intermediate drive may provide accommodation for a fluid treatment apparatus, such as a pump. These intermediate drive devices may utilize one or more magnetic drive devices to provide a static barrier for the mechanical device. A fluid treatment assembly may include a fluid treatment device including a housing, a housing cavity, a fluid inlet, and a fluid outlet. The intermediate drive device may be positioned and configured to transfer energy from the motor to the fluid treatment apparatus while providing a secondary containment region that is spaced from a primary containment region provided by the fluid treatment apparatus.

The application provides a work recognition method, device and equipment and a crane. The work recognition method comprises the following steps: acquiring work data of a mechanical device; extracting work features in the work data, wherein the work features are determined according to actions performed in a work process of the mechanical device; and in the case that the work features match a work flow of a target working condition, counting the work data as target work data matching the target working condition. According to the technical scheme of the application, the target working condition can be recognized according to the work data of the mechanical device, so that the work data of the mechanical device related to the target working condition is effectively developed and utilized, and the data value of the work data of the mechanical device is fully tapped.

The present invention relates to a mechanical device, and more particularly to a serial-parallel robotic arm collaborative sea cucumber fishing device, comprising a hull, an end effector, a rope, and a rope drive device. The hull is used to navigate on the sea surface, and is provided with a through hole. The end effector includes a gripper, which is an elastic gripper, and is used to grasp sea cucumbers. The rope drive device is provided on the hull, and one end of the rope is connected to the rope drive device and the other end is connected to the end effector. The rope drive device is adapted to drive the rope so that the end effector is placed on the seabed through the through hole or retracted from the seabed to the hull. The rope drive device is adapted to drive the rope so that the end effector can adjust its position in six degrees of freedom. The present invention has a long service life, a large fishing area, a higher fishing efficiency, and can avoid damage to sea cucumbers during the catching process.

1. Name of the product in this design: Steering gear. 2. Purpose of this design: A steering mechanism used to control the direction of mechanical equipment. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The invention provides a sensor transfer device, a fault monitoring method and system, a controller and a mechanical system. The sensor transfer device comprises a connector which comprises a connecting piece, and the connecting piece is used for being detachably connected with a sensor; and the driving mechanism is in driving connection with the connector, drives the connector to be close to or far away from the sensor and drives the connected sensor to move so as to change the position of the sensor, so that the sensor can detect different parts of the mechanical equipment. Therefore, the comprehensiveness and accuracy of fault monitoring can be improved.

The utility model belongs to the technical field of hinge assemblies, and particularly relates to a hinge assembly with a lock hook, which comprises a fixed part and a rotating part, the rotating piece is rotationally connected with the front end of the fixed piece; a locking arm is rotationally connected to the fixed part, the rotating part is rotationally connected with a limiting connecting rod, and the locking arm is rotationally connected with the limiting connecting rod; a rotatable lock hook is arranged on the lock arm; when the rotating piece rotates to a first position, the lock hook hooks the first lock catch part; when the rotating piece rotates to a second position, the lock hook hooks the second lock catch part; and when the lock hook is pressed, the lock hook can be separated from the first lock catch part or the second lock catch part. According to the scheme, when the rotating part rotates to the first position or the second position, the hinge assembly can be limited through the limiting connecting rod, then position locking is conducted through the lock hook, the using stability of equipment where the hinge assembly is applied is improved, and the requirement for locking the rotating position in mechanical equipment such as an unmanned aerial vehicle and furniture is met.

1. Name of the product in this design: Bicycle tire. 2. Purpose of this design: This design is used to support the bicycle frame or other mechanical devices, buffer external impacts, and increase contact and friction with the road surface. 3. The key design feature of this product is the pattern on the tire surface. 4. The image or photograph that best illustrates the design's key points: a 3D model. 5. The rear view is the same as the front view after being rotated 180 degrees, so the rear view is omitted; the top view and bottom view are the same as the front view, so the top view and bottom view are omitted.

The utility model belongs to the field of pharmaceutical mechanical equipment, and particularly relates to a filter cloth filtering installation structure of a discharging valve, which comprises a valve body, the valve body is provided with a feeding port, a discharging port and a valve cavity communicated with the feeding port and the discharging port, a valve core is arranged in the valve cavity, a filtering device is arranged on the valve core, and the filtering device is provided with a filter screen. The filtering device comprises a filtering supporting plate with a plurality of through holes and filtering cloth fixedly laid on the filtering supporting plate, the filtering supporting plate is fixedly connected with the valve element, a liquid discharging cavity is formed between the filtering supporting plate and the valve element, and the liquid discharging cavity is communicated with a liquid discharging channel. The utility model provides a filter cloth filtering and mounting structure of a discharge valve, which realizes filtering through a filter cloth filtering device in the discharge valve and meets the technical production requirements of corrosive materials or materials which are not allowed to be in contact with metal materials.