248 results about "Vibration sensing" patented technology

The invention discloses a polarization-state-based optical fiber vibration sensing system and application, and relates to the technical field of optical fiber sensing, and the polarization-state-based optical fiber vibration sensing system mainly comprises a transmitting end and a receiving end. The transmitting end comprises a laser diode, a first erbium-doped optical fiber amplifier, a first circulator, a polarization scrambler, a single-mode optical fiber link, a second circulator and a second erbium-doped optical fiber amplifier which are connected in sequence; and the receiving end comprises a polarization beam splitter, a first shunt module, a second shunt module, an optical mixer, a first balanced photoelectric detector, a second balanced photoelectric detector, a third balanced photoelectric detector and a polarization analysis module. According to the optical fiber vibration sensing system based on the polarization state and the application, the vibration monitoring performance and reliability in a long-distance and high-noise environment can be improved.

The invention discloses a rock slope sliding interface identification and degradation monitoring method based on distributed sound wave sensing. The monitoring method comprises the steps that a plurality of vibration sensing optical cables are vertically arranged in a rock slope along a drill hole, multi-channel vibration time sequence data are obtained through a distributed sound wave sensing demodulator, and the multi-channel vibration time sequence data are obtained through detrending and noise suppression of a data preprocessing unit, space-time consistency filtering of apparent velocity constraint and phase weighted stacking. STA / LTA triggering and DBSCAN clustering are utilized to realize single-cable event merging, and unique pairing and three-dimensional positioning of cross-cable events are completed in combination with geometric matching degree and waveform form correlation degree; the sliding interface inversion unit adopts a deep learning model to classify abnormal events, constructs an event density field and an energy intensity field for sliding related events, forms a sliding interface evidence field, and optimizes an inversion sliding interface in a limited solution domain; the degradation state monitoring unit identifies a hot spot area on a sliding interface, tracks intensity and scale evolution, constructs a degradation index, and can realize early warning in combination with multi-source information such as earth surface displacement.

The invention relates to the field of buried facility monitoring, and discloses a piezoelectric cantilever vibration sensing and super capacitor self-powered energy closed-loop operation method and system, and the method comprises the steps: building a star array composed of a master pile and a slave pile, and configuring a TDMA time slot and an uplink message length; the slave pile collects a vibration signal through a piezoelectric cantilever, the vibration signal is rectified by a piezoelectric rectification energy taking module and then charges a super capacitor, and the voltage state of the two ends of the super capacitor is obtained; when the voltage state reaches a preset upper threshold, the boosting module supplies power to the processing circuit and the transmitting circuit of the slave pile, and the processing circuit generates a four-byte feature code; the slave piles send four-byte feature codes in a magnetic induction link according to TDMA time slots, the master pile receives and aggregates the four-byte feature codes sent by the multiple slave piles, completes positioning and fusion according to the arrival time difference, and returns the four-byte feature codes to the platform through LoRa and 4G, and the platform completes storage and output according to the four-byte feature codes and a positioning result. According to the invention, end-side cloud connection and replicable deployment can be realized, and low-frequency vibration acquisition and buried communication are adapted.

The invention belongs to the technical field of engineering machinery intelligence and construction quality detection, and provides an intelligent compaction degree detection system and method integrated on a road roller. The detection system comprises a multi-mode sensing unit which comprises a vibration sensing module, a machine vision module, an inertia measurement positioning module and a flatness detection module; the detection method comprises the following steps: S1, synchronously collecting data; s2, vibration signal processing and compaction index calculation; s3, image analysis and apparent feature extraction; s4, a multi-source data fusion and machine learning model; s5, positioning and drawing; in conclusion, the invention provides the intelligent compaction degree detection system and method integrated on the road roller. The method is reasonable in design and simple to operate, can realize real-time, comprehensive, lossless and high-precision detection of the compaction degree, and can evaluate the construction apparent quality at the same time, so that the method is suitable for industrial popularization.

The invention discloses a lightweight optical fiber vibration intrusion event identification method and system for perimeter security and protection, and belongs to the technical field of optical fiber sensing technology and mode identification, and the method comprises the steps: collecting an original vibration signal of a perimeter monitoring region through a distributed optical fiber vibration sensing system; performing wavelet threshold de-noising preprocessing on the original vibration signal to obtain a de-noised signal; performing feature extraction on the denoised signal, and constructing a high-dimensional feature vector; performing dimension reduction processing on the high-dimensional feature vector by using a linear discriminant analysis method to obtain a low-dimensional classification feature vector; and inputting the low-dimensional classification feature vector into a pre-trained lightweight convolutional neural network model for classification and identification, and outputting a corresponding intrusion event category. According to the method, through cooperation of front-end LDA dimension reduction and a rear-end lightweight network, the model parameter quantity and calculation overhead are greatly reduced while high recognition precision is guaranteed, efficient real-time deployment on edge equipment is achieved, and the method is suitable for intrusion detection in perimeter security and protection.

The invention relates to the technical field of optical fiber sensing, and provides an improved moving average method applied to a distributed optical fiber vibration sensing system, and the method comprises the steps: continuously collecting a plurality of backward Rayleigh scattering curves; setting a plurality of different moving average window widths, and performing moving average processing on the plurality of backward Rayleigh scattering curves based on each moving average window width to obtain a plurality of scattering curves after moving average processing corresponding to each moving average window width; for each moving average window width, calculating the variance of the scattering curve after moving average processing at the same time point, and obtaining a variance sequence corresponding to the moving average window width; according to the variance sequence corresponding to each moving average window width, determining the corresponding moving average window width when the variance change tends to be stable, and taking the moving average window width as a target window width; and moving average processing is carried out on a plurality of acquired backward Rayleigh scattering curves by using a target window width, and a disturbance event on the optical fiber is positioned.

This invention relates to the field of cable technology and discloses a safety early warning cable with temperature sensing. The cable includes a wrapping layer containing multiple insulated power wire cores, a protective layer outside the wrapping layer, a first vibration sensing element within the protective layer, and an isolation layer between the wrapping layer and the protective layer. By incorporating a spiral metal sheath within each conductor, with thermally conductive silicone grease filling the space between the sheath's inner wall and the temperature-sensing optical fiber, rapid and direct monitoring of the conductor's core temperature is achieved. Simultaneously, heat is transferred through the conductor's copper wires in the spiral microgrooves, the thermally conductive metal strip on the surface of the insulation layer, and the thermally conductive material in the filling layer to the multimode optical fiber core in the multi-core sensing cable, forming redundant temperature measurement channels. When the temperature of a conductor is abnormal, the corresponding temperature-sensing optical fiber and the multimode optical fiber core can be cross-verified, effectively avoiding false alarms caused by single-point faults or poor local contact, significantly improving temperature measurement reliability and response speed.

The invention discloses a mine earthquake monitoring device for deep well layout, and relates to the technical field of monitoring devices, the mine earthquake monitoring device comprises a shell, and a mounting rack is fixed in the shell; the measuring assembly comprises a vibration sensing module and an orientation sensing module which are coaxially fixed on the mounting frame, the vibration sensing module is used for monitoring a vibration signal, and the orientation sensing module is used for acquiring orientation deflection information of the vibration sensing module in real time; the signal processing module is in communication connection with the vibration sensing module and the direction sensing module, and performs direction correction on the vibration signals acquired by the vibration sensing module based on the direction deflection information so as to eliminate monitoring and positioning errors caused by direction deflection; a vibration sensing module and a direction sensing module are coaxially fixed on a rigid mounting frame to form a composite measurement unit with unified internal direction reference; when the device is arranged in a deep well and randomly deflects due to uncontrollable factors, the azimuth sensing module can sense the azimuth change in real time.

The invention relates to the technical field of pronunciation control, and provides a non-contact Hall drumhead vibration sensing and intelligent pronunciation control method and system, and the method comprises the steps: collecting an original Hall sensing electric signal generated when a user knocks a drumhead through a Hall sensor array in a drumhead, carrying out the signal preprocessing of the original Hall sensing electric signal, and obtaining a pre-processed signal; a standard Hall sensing electric signal is obtained, physical characteristic parameters are extracted, and a first tympanic membrane tension parameter, a damping coefficient and a striking position are obtained; obtaining an initial tympanic membrane tension parameter through a tympanic membrane stress sensor, carrying out the comparative analysis of the first tympanic membrane tension parameter and the initial tympanic membrane tension parameter, obtaining a tension decay value, and obtaining a pitch parameter based on a pre-constructed tension decay value-pitch mapping relation. According to the invention, through signal preprocessing and physical characteristic parameter extraction, key quantities reflecting the physical state of the tympanic membrane, such as a tympanic membrane tension parameter, a damping coefficient and a striking position, are systematically extracted, and a real and accurate physical basis is provided for sound generation.

The invention provides an elevator brake failure early warning device, and relates to the technical field of elevators. According to the failure early warning device for the elevator brake, the temperature sensing assembly, the vibration sensing assembly, the torque sensing assembly, the air gap sensing assembly and the pressure sensing assembly are arranged through the sensor module, so that a plurality of key parameters such as the temperature of a brake shoe, a vibration signal, a brake torque, a brake air gap and hydraulic pressure or spring pressure can be collected in real time; the comprehensive monitoring of the working state of the elevator brake is realized; the data processing and analysis module applies a multi-dimensional data analysis technology, combines various failure judgment algorithms such as a simple algorithm based on threshold judgment, an intelligent algorithm based on pattern recognition and a prediction algorithm based on machine learning, and a data analysis model comprising a feature layer, a prediction layer and a decision layer; and the collected data can be deeply analyzed and processed, whether the brake has a failure risk or not is comprehensively judged, and the accuracy and reliability of early warning are greatly improved.

The application provides a highway accident monitoring method, relates to the technical field of optical fiber vibration sensing, and acquires a vibration image according to each time of emitting a detection signal, constructs an entropy matrix through setting a distance window and a time window, takes the mean value of vibration peak points in each distance window as chaotic entropy, and represents the vehicle passing state of any road section at any time by the chaotic entropy; when an accident signal is detected, the chaotic entropy of the accident position is compared in time and space through a time component and a distance component to form a variation score, a variation coefficient threshold is generated according to the variation of a historical entropy matrix at the position, whether the position is misjudged is judged according to the variation amount, and whether to alarm is decided, the application comprehensively judges whether the position truly has an accident through the passing state of the accident signal position in time and space, and the accident judgment accuracy is improved.

The application discloses a self-adaptive multi-frequency band bionic vibration snake and insect expelling device and method, and belongs to the technical field of outdoor protection equipment. The device comprises a tool carrier, a bionic low-frequency vibration generating module, a main control module, an infrared sensing module and a power supply module, and can be pre-installed or externally mounted. The vibration module is in reliable contact with the ground, thereby ensuring effective vibration conduction. The device outputs adjustable bionic pulse vibration of 15-280 Hz, simulates the ground stepping signal of large terrestrial animals, and realizes targeted repulsion by using the differential vibration sensing characteristics of snakes, insects and mice. The device is provided with three working modes of fishing silence, camping global and strong snake repulsion, and is integrated with functions of starting gradient protection, human body intelligent start and stop, multi-dimensional resistance, ground medium self-adaptation and environmental parameter compensation. The device supports single independent protection and multi-ring networking efficiency, has a protection level of IP67, is suitable for all scenes such as fishing, camping, yard and breeding, and can realize integrated long-acting physical repulsion of snakes, insects and mice.

The utility model relates to the technical field of sensors, and discloses a vibration sensor integrating noise, temperature and harmful gas measurement, which comprises a shell, a sensing assembly and a control assembly, and is characterized in that the shell is arranged on equipment to be detected and is provided with a mounting cavity; the sensing assembly comprises a vibration sensing unit, a noise sensing unit, a temperature sensing unit and a gas sensing unit, and the vibration sensing unit, the noise sensing unit, the temperature sensing unit and the gas sensing unit are all arranged in the mounting cavity and are arranged at intervals; the control assembly is arranged in the mounting cavity, and the control assembly is electrically connected with the sensing assembly and an external server so as to receive vibration data, noise data, temperature data and gas data, detected by the sensing assembly, of the to-be-detected equipment and transmit the received vibration data, noise data, temperature data and gas data to the external server; according to the utility model, the installation efficiency of the sensor is improved, and the wiring problem caused by simultaneous installation of a plurality of sensors can be avoided.

The invention discloses a distributed optical fiber vibration measurement sensor wiring method and device of a bridge structure, and the method comprises the following steps: determining a key monitoring region of a bridge, laying a wiring device in the key monitoring region, enabling a single-mode optical fiber to sequentially pass through an optical fiber leading-in port and an optical fiber leading-out port, and obtaining an optical fiber sensing network; winding the single-mode optical fiber according to a set mode to form a redundant optical fiber section; the method comprises the following steps of: coupling and fixing a main optical fiber linear section on the surface of a bridge along the center line of a bridge structure by adopting cyanoacrylate adhesive, controlling a servo motor in a wiring device according to the real-time vibration frequency and amplitude of the bridge, and dynamically adjusting the number of winding turns of a redundant optical fiber section; a wiring device with redundant optical fibers is arranged in a key monitoring area, the density of local optical fiber sampling points is increased through a redundant section, the bridge monitoring requirement is met, the winding speed is dynamically adjusted through a servo motor, it is ensured that the optical fibers keep constant tension in the storage and arrangement process, and the optical fibers are prevented from being damaged.

The utility model discloses an automatically-adjusted electric trimmer, and relates to the field of electric trimmers. According to the electric trimmer capable of being automatically adjusted, the rotating type protective cover comprises the hollow rotating base, the rotating shaft, the alignment connecting block, the limiting sliding rail, the sliding type hollow protective cover, the alignment connecting bolt and the alignment open groove, so that when the electric trimmer capable of being automatically adjusted is used, protection work on a cutter of the electric trimmer can be completed; the vibration sensing type power adjuster comprises a power supply connecting top plate, an adjusting controller, a spring extending base, a vibration sensor and a rubber connecting pad, so that the vibration sensing type power adjuster can be used for adjusting the power supply connecting top plate, the adjusting controller, the spring extending base, the vibration sensor and the rubber connecting pad; cutter driving power can be adjusted at any time according to cutter vibration conditions, cutter damage can be reduced by changing the driving power, and the service life can be prolonged.

The utility model relates to the technical field of metal coating equipment, and discloses vacuum coating equipment for a metal coiled material, which comprises a base body, a first coating equipment body and a second coating equipment body, a driving mounting groove is formed in the base body, a driving mechanism used for moving the first coating equipment body is arranged in the driving mounting groove, the driving mechanism comprises a driving motor, a driving screw groove, a driving support block, a driving screw groove and a corresponding sliding rail groove, a protection mechanism is arranged on the top end wall of the base body, and the protection mechanism comprises a vibration sensor, a vibration receiver and alarm equipment. Through cooperation of the driving motor, the driving screw groove, the sliding rail groove, the driving support block and the driving screw groove, the first coating equipment body can be moved conveniently.

This invention designs a hot water level detection device for heating systems, belonging to the field of water level detection technology. The device includes a water level sensing unit, a temperature sensing array, a vibration sensing unit, and a data processing module. The water level sensing unit is installed on the top of the water storage device, emitting and receiving ultrasonic waves and measuring the round-trip time. The temperature sensing array includes two temperature sensors respectively installed at the top and bottom of the water storage device to acquire information on the vertical temperature distribution of the hot water. The vibration sensing unit is installed on the wall of the water storage device or on the heating pipe to collect vibration signals. The data processing module includes a temperature judgment unit, a sound velocity correction unit, a feature extraction unit, and a water level correction unit. This invention eliminates the influence of temperature stratification on sound velocity calculation through temperature gradient adaptive correction, and suppresses the interference of dynamic disturbances on water level measurement through vibration feature extraction and adaptive filtering, achieving accurate and stable hot water level monitoring under the complex operating conditions of heating systems.

The application discloses a kind of servo drive DIMM automatic plug-in module, it is related to memory stick detection technical field, including support frame and servo drive component, the top of support frame is fixedly connected with control panel, the output end of servo drive component is drivingly connected with first down component, support frame is located in the bottom of servo drive component and is equipped with fixed component, second down component is arranged between fixed component and first down component;Fixed component includes locking block, multiple rack, sliding groove, fixed shaft and sensing elastic piece, fixed shaft is respectively penetrated and fixed in the inward two sides of multiple rack, sensing elastic piece is arranged on the outer surface of fixed shaft, sensing elastic piece is signal connected with control panel;First down component is used to carry out first stage insertion process, and first down component includes down rod, first down rack, vibration sensing piece and pressure bar, and the application realizes the further intelligent use of plug-in module.

The application belongs to the technical field of intelligent bathroom power supply and interactive control, and discloses an intelligent bathroom integrated control system supporting voice and gesture interaction, which comprises an electric energy distribution monitoring unit, a pipeline vibration sensing unit, a space state parameter acquisition unit, a central logic control unit and an electric energy output modulation unit. The pipeline vibration sensing unit detects mechanical vibration excited by fluid and provides a reference signal. The central logic control unit identifies gestures based on the correlation strength between the reference signal and an echo sequence, and then drives the electric energy output modulation unit to adjust load power parameters. The application utilizes the physical causal correlation between echoes and vibrations generated by fluid dynamics processes, eliminates recognition interference generated by water splashing through a multi-modal signal decoupling mechanism, and enhances the stability of system power distribution control on the basis of maintaining interactive response sensitivity.

A system and method are provided for mapping obstructions in a work area traversed by a work machine such as a sprayer, combine or other machine having a ground-engaging work implement. While the work machine traverses the work area, and via output signals from sensors associated with the work machine, obstructions are detected at (e.g., using perception sensing on a combine, etc.) and / or below (e.g., using vibration sensing on a planter, dozer, etc.) a ground surface. A mapped data structure associated with the work area is accordingly modified, wherein a sensed location and one or more identified characteristics for each respective one of the detected obstructions are mapped to corresponding locations in the mapped data structure. The sensors may include vibration sensors or implement actuator position sensors to detect an obstruction contacted by the work machine, and / or perception sensors to detect obstructions on the surface / within a field of view.

The invention relates to the technical field of submarine cable laying, and discloses a submarine cable anti-suspension protection and detection device based on optical fiber sound wave vibration sensing, and the device monitors the vibration data of a submarine cable in real time through an optical fiber sound wave vibration sensing system, analyzes the vibration characteristics, and precisely judges whether the submarine cable is suspended or not and the suspension length. In an anti-suspension protection structure of the linkage device, two rows of symmetrical bases and inhaul cable mechanisms on the bases are arranged, through the design that one ends of cables are wound around the bases, and the other ends of the cables fix the submarine cables, the cables are tightened to dynamically adjust the tightening degree and the position of the submarine cables so as to improve the suspension state; and finally, the related problems of insufficient linkage of an existing submarine cable fixing device and a fault detection system and the like are solved. The submarine cable suspension detection device has a submarine cable suspension detection function of optical fiber sound wave vibration sensing, a protection device is linked according to a detection result to improve a suspension state, and the problems that an existing submarine cable fixing device and a fault detection system are insufficient in linkage, poor in buffering performance, remarkable in water flow interference, poor in base installation adaptability and incapable of dynamically adjusting the tightening degree are solved.

The utility model discloses a fine screening modularized optical fiber vibration detection device, which comprises a vibrating screen, a plurality of vibration motors are fixedly connected to the vertical outer wall of the vibrating screen, a plurality of elastic modules are fixedly connected to the bottom of the vibrating screen, and the lower ends of the plurality of elastic modules are fixedly connected with the same base. The optical fiber sensing technology is adopted, the interference characteristic of light is utilized, high-precision detection of the vibration state of materials is achieved, the defect that a traditional mechanical or electronic sensing module is prone to being interfered is overcome, and a special optical fiber sensing structure is designed in combination with the characteristics of a vibrating screen. The high sensitivity and high resolution of the optical fiber vibration sensor enable the system to accurately detect the vibration state of the material, the accuracy and reliability of vibration detection are improved, and as the optical fiber vibration sensing module has the characteristic of non-contact detection, the direct contact and abrasion with the material are reduced, and the maintenance cost of equipment is reduced.

The invention relates to the technical field of power plant auxiliary machines, in particular to an auxiliary machine residual life prediction method and system based on a vibration trend. The method includes: setting a plurality of vibration sensing points according to structure parameters of the power plant auxiliary machine; acquiring an initial vibration packet of each vibration sensing point, and generating an expected residual life of the power plant auxiliary machine according to all the initial vibration packets and a preset life prediction model; according to a preset monitoring time node, obtaining a feedback vibration packet of each vibration sensing point, and according to all monitoring data, determining whether to correct the expected residual life; a plurality of vibration sensing points are selected based on structural parameters of the power plant auxiliary machine, and a corresponding degradation simulation model is constructed by collecting original vibration signals of each vibration sensing point, so that the degradation state of each vibration sensing point is predicted, and the service life of the power plant auxiliary machine is accurately predicted. And data support is provided for power plant equipment operation and maintenance.

The application provides a long-distance heat supply pipeline leakage intelligent monitoring system and method based on DVS-improved EEMD, and belongs to the field of heat supply pipeline monitoring. The system and method combine distributed optical fiber vibration sensing (DVS) technology and improved ensemble empirical mode decomposition (improved EEMD) algorithm, lay out optical fibers through spiral winding and fixed-point reinforcement to collect pipeline vibration and strain signals, adaptively add Gaussian white noise to decompose into stationary, leakage characteristic and environmental noise components through the improved EEMD algorithm, enhance the characteristics through wavelet packet entropy, and combine time-domain impact peak to distinguish leakage. Then, the leakage position is accurately determined relying on the optical fiber distance calibration information and the optical signal propagation speed of the DVS system. The application effectively solves the problems of serious modal aliasing, insufficient low-frequency leakage signal capture, weak anti-interference ability and high cost in the existing heat supply pipeline leakage monitoring, and can realize real-time online full-line monitoring of long-distance heat supply pipelines under complex geological and climate conditions.

The utility model discloses an optical fiber vibration sensor, and aims to solve the problems of low sensitivity, poor stability and susceptibility to temperature and electromagnetic interference in the existing vibration detection. The optical fiber vibration sensor comprises a shell and a vibration sensing mechanism, wherein the vibration sensing mechanism is arranged in the shell; the vibration sensing mechanism comprises a fixing seat, a vibration sheet, a mirror sheet and an optical fiber, the vibration sheet is connected with the fixing seat, a first cavity is formed between the fixing seat and the vibration sheet, the mirror sheet is fixedly connected with the vibration sheet and located in the first cavity, the optical fiber penetrates through the fixing seat, the end face of the optical fiber is located in the first cavity, and the end face of the optical fiber right faces the mirror sheet; the end face of the optical fiber and the mirror sheet form a Fabry-Perot cavity. The vibration sensing mechanism is arranged in the shell, the Fabry-Perot cavity is formed through the mirror surface piece on the vibration piece and the end face of the optical fiber, and in the vibration process, the distance change of the Fabry-Perot cavity is accurately monitored through the optical fiber, so that the vibration condition of the equipment is obtained.

This invention relates to the technical field of sound field optimization, and provides a method and system for optimizing sound field parameters. The method includes: activating a vibration sensing device; driving a loudspeaker to play a test signal to excite the loudspeaker enclosure to vibrate, and driving the vibration sensing device to collect vibration data of the loudspeaker enclosure; receiving the vibration data and performing frequency domain analysis to identify the structural resonant frequency and structural resonant intensity; storing the structural resonant frequency and structural resonant intensity as structural resonant information; determining a preliminary low-frequency compensation scheme based on the room's acoustic characteristics; comparing the preliminary low-frequency compensation scheme with the structural resonant information to determine whether the preliminary low-frequency compensation scheme poses a risk of exciting structural resonance in the loudspeaker enclosure, obtaining an excitation risk assessment result; and adjusting and updating the preliminary low-frequency compensation scheme based on the excitation risk assessment result to obtain a sound field parameter optimization scheme. This invention improves the sound field stability and listening experience of stereo systems.

The invention discloses a distribution network grounding operation safety state intelligent early warning and measurement and control system and method. The system comprises an intelligent jointing clamp, an intelligent grounding pin and a visual monitoring platform. The intelligent jointing clamp is integrated with a pressure sensing module used for sensing the hooking state of the intelligent jointing clamp and a wire, a positioning module used for conducting grounding point space positioning, and a safety authentication module used for equipment identity authentication. The intelligent grounding pin is integrated with a posture sensing module used for monitoring the embedding posture of the grounding pin, a depth measuring module used for measuring the embedding depth of the intelligent grounding pin, and a vibration sensing module used for identifying the impact characteristic in the embedding process of the intelligent grounding pin. And the visual monitoring platform is used for receiving the multi-modal sensing data uploaded by the intelligent jointing clamp and the intelligent grounding pin, and performing diagnosis and early warning of the grounding operation state according to the multi-modal sensing data. According to the invention, by constructing an end-edge-cloud collaborative system architecture, the operation and maintenance security of the power system is improved.

This invention relates to the field of mine roadway and traffic tunnel technology. To accurately identify the lithology and weathering degree of rocks within boreholes in real time, it provides a method and device for identifying lithology and weathering degree based on drill rod vibration signals. Based on a six-component vibration sensing architecture with an octahedral structure, it achieves six-component full-dimensional sensing of drill bit rock-breaking vibration acceleration signals. A triple filtering method is used to remove interference, and the vibration frequency is corrected by combining the drill rod length to eliminate the interference of drill rod length changes on the vibration frequency during drilling. The corrected signal is processed by frame segmentation, extracting time-frequency features and time-domain features respectively. Finally, a borehole lithology and weathering degree identification model composed of CNN branches and MLP branches is constructed. The CNN branch automatically learns the local correlation patterns of time-frequency features, and the MLP branch automatically combines the nonlinear relationships in the time-domain features, thereby achieving efficient and accurate identification of borehole lithology and weathering degree.

This application discloses a method for enhancing the quality of bare fiber sensing signals in vehicle-mounted vibration environments. It relates to the field of fiber optic sensing signal quality enhancement, and utilizes a multi-axis inertial measurement unit and a vibration sensing network to construct a spatiotemporal feature tensor, enabling three-dimensional dynamic perception of the vibration environment. Filtering parameters and gain are dynamically configured based on vibration characteristics to ensure stable signal acquisition under strong vibration conditions. A deep feature decoupling network, combined with vibration environment information, effectively separates noise from the target signal, improving the signal-to-noise ratio. A dynamic compensation module, based on a physical heuristic model, corrects vibration-induced transmission distortion from three dimensions: polarization state, birefringence, and microbending loss, ensuring the physical integrity of the signal. A closed-loop collaborative control mechanism dynamically optimizes the parameters of each module through real-time signal quality feedback, forming an adaptive optimization closed loop. Through spatiotemporal multi-dimensional collaborative processing, high-quality and robust enhancement of bare fiber sensing signals in vehicle-mounted vibration environments is achieved.

The invention relates to the technical field of motor monitoring and control technologies, and discloses a switched reluctance motor monitoring system and method. According to the switched reluctance motor monitoring system and method, an integrated monitoring system integrating multi-physical-quantity synchronous sensing, high-speed acquisition, edge intelligent diagnosis and active fault tolerance is constructed, so that comprehensive and accurate monitoring is realized; a wide-band and high-precision Rogowski coil, an isolation type voltage sensor and a dual-redundancy position sensor are adopted; by combining distributed temperature and vibration sensing, multi-dimensional synchronous accurate sensing of electrical, mechanical and thermal states is realized, a high-quality data basis is provided for fault diagnosis, the diagnosis is real-time and intelligent, high-speed synchronous acquisition based on the FPGA ensures signal time sequence consistency, wavelet packet decomposition and a lightweight convolutional neural network are fused on the edge side, and the fault diagnosis accuracy is improved. Features can be rapidly extracted locally, faults can be identified, and cloud dependence and diagnosis delay are greatly reduced.