123 results about "Attenuation ratio" patented technology

The invention discloses a textile production defect detection method and system based on image processing, and belongs to the field of textile defect detection. According to the method, the point cloud data is generated by collecting the surface deformation stripes, and the penetrability reflection signal containing the sound wave propagation time is obtained through the multi-frequency ultrasonic probe. Denoising the point cloud data and then positioning a surface deformation candidate area based on a curvature gradient and a normal vector deflection angle; and an internal abnormal region is determined by separating and extracting a reflection wave amplitude value and a time delay parameter through an ultrasonic frequency band. And matching the surface point cloud coordinates with the ultrasonic propagation time by adopting an iterative nearest point algorithm to establish feature association between the normal vector deflection angle and the reflected wave amplitude. And dynamically distributing fusion weights for the surface features and the internal features according to the curvature gradient change rate and the amplitude attenuation rate to generate a multi-modal defect distribution diagram. And geometric shape and reflection intensity parameters are extracted and matched with a preset defect template to realize type and position judgment, and the method can be suitable for production defect detection of the thick textile with a multi-layer composite material structure.

The invention discloses a tunnel monitoring method and system based on a vibrating wire sensor, and relates to the technical field of tunnel engineering construction safety monitoring, and the method comprises the steps: collecting the vibration frequency data and spatial position coordinates of the vibrating wire sensor in a monitoring region; the method comprises the following steps: calculating a time difference and an energy attenuation ratio between adjacent sensors by extracting spectrum energy density distribution, and constructing a stress wave propagation field; dividing grids in the propagation field to calculate node stress values, generating a stress field distribution cloud picture and extracting a stress concentration area; calculating a gravity center position coordinate change rate and a stress time sequence curve of the stress concentration area, and determining fracture extension parameters; and calculating a surrounding rock bearing capacity attenuation curve based on the parameters, and outputting an early warning signal when the slope exceeds a threshold value. According to the invention, real-time monitoring and early warning of the tunnel surrounding rock instability risk are realized.

The invention discloses a traveling wave fault location improvement method for power distribution network fault location analysis, relates to the technical field of power distribution networks, and solves the problems that a traditional single wave velocity model causes location deviation, and particularly, false fault points are easily generated at the joint of a cable and an overhead line due to refraction and reflection. And calculating an amplitude difference mean value under different translation amounts, automatically identifying an optimal time alignment point, and locking an association time difference t1. According to the process, time errors caused by signal distortion, asynchronous sampling and the like can be effectively corrected, the time difference precision is improved from the microsecond level to the nanosecond level, a foundation is laid for follow-up precise positioning, a plurality of correlation points are randomly selected in a locked range interval, a corrected waveform is constructed based on the attenuation proportion and repeated verification is carried out, and the time difference precision is improved. Screening an optimal solution through a feature mean value minimization algorithm; the mechanism can effectively inhibit the error of a single measuring point, and improves the robustness of a positioning result through the statistical average effect.

The invention provides a method and a system for constructing a common financial business system based on artificial intelligence, and relates to the field of financial system construction. Comprising the following steps: converting financial rule data into analog modulation signal feature vectors containing value intensity, risk association degree and aging attenuation rate through a three-dimensional feature conversion module, and executing market behavior capture, rule space positioning and strategy generation operations in combination with a multi-stage state machine; the supervision text is converted into a continuous control signal injection feature generation logic through a dynamic constraint feedback loop, and a closed-loop adjustment mechanism of value gain calibration, risk attenuation compensation and aging synchronous correction is formed; a physical signal cross validation module is adopted to perform dual coupling verification of main channel waveform characteristics and auxiliary channel time sequence characteristics on the strategy; the time sequence deviation of characteristic conversion, state transition and constraint feedback is synchronously coordinated through a reference clock, and it is ensured that the time sequence deviation of the operation rhythm of all modules of the system is lower than a preset tolerance.

The invention relates to the technical field of titanium alloy detection, and discloses a titanium alloy wire performance detection method, equipment and system. The method comprises the following steps: acquiring real-time force value displacement data of a tensile test and echo signal data of ultrasonic detection, and processing to obtain smooth force value displacement data and spectrum characteristic parameters; performing feature layer fusion on the yield strength, the tensile strength, the peak frequency and the amplitude attenuation rate to construct a first multi-dimensional feature matrix; inputting a pre-trained deep belief network model, and predicting mechanical properties such as elongation and hardness value; and comparing with a preset threshold value, marking unqualified items and generating a detection report. According to the method, through multi-source data fusion and advanced algorithm processing, the comprehensiveness and accuracy of detection are improved, efficient evaluation of the performance of the titanium alloy wire is achieved, and the method is suitable for the strict detection requirements for the quality of the titanium alloy wire in the fields of aerospace, medical instruments and the like.

The invention discloses a super capacitor energy storage life evaluation method under a fire storage frequency modulation working condition, relates to the technical field of power system energy storage, and can at least partially solve the problems that an existing super capacitor life evaluation method is poor in adaptability to the frequency modulation working condition, insufficient in multi-factor coupling quantization and lack of engineering criteria. The method comprises the steps of simulating a fire storage frequency modulation working condition and collecting multi-dimensional operation data of a super capacitor; preprocessing the collected data and extracting life characteristic parameters such as capacity attenuation rate, equivalent C rate, average temperature rise, frequency modulation load factor and the like; key influence factors are screened through correlation analysis, weight coefficients are trained through a machine learning algorithm, and a coupling influence coefficient model is constructed; establishing a capacity attenuation equation, an equivalent series resistance growth equation and a response delay growth equation, and fusing three criteria to determine a life end point; and dynamically correcting model parameters based on the real-time frequency modulation data and calculating the residual life. Accurate evaluation and dynamic prediction of the service life of the super capacitor under the fire storage frequency modulation working condition are achieved.

The invention is suitable for the technical field of grounding grid defect evaluation, and provides a transient electromagnetism-based grounding grid corrosion defect evaluation method and system, and the method comprises the steps: placing a sensor of a transient electromagnetic detection device above a to-be-detected region of a grounding grid, injecting a pulse current excitation signal into a conical focusing excitation coil, and carrying out the detection of the to-be-detected region of the grounding grid; acquiring an induced voltage time sequence signal through a receiving coil; extracting at least one characteristic parameter from the induced voltage time sequence signal, wherein the characteristic parameter comprises a signal peak value, peak value time, an attenuation rate or a signal integral quantity; inputting the characteristic parameters into a preset corrosion evaluation model, and performing inversion to obtain a residual thickness value or a corrosion depth value of the grounding grid in the to-be-detected area; generating and outputting a quantitative evaluation result containing the residual thickness value or the corrosion depth value; the method can be implemented in a non-stop state of the grounding grid, and an efficient and reliable decision basis is provided for safe operation and state maintenance of a power system.

This invention discloses a method and apparatus for cementing quality inspection based on ultrasonic Lamb waves. The method includes: acquiring a first ultrasonic Lamb wave signal received by a first receiver and a second ultrasonic Lamb wave signal received by a second receiver; calculating the first wave energy of a zero-order symmetric Lamb wave within a first time window of the first ultrasonic Lamb wave signal, and calculating the second wave energy of a zero-order symmetric Lamb wave within a second time window of the second ultrasonic Lamb wave signal; calculating the attenuation rate of the zero-order symmetric Lamb wave based on the first wave energy, the second wave energy, a first distance, and a second distance; comparing the attenuation rate with a pre-generated attenuation rate threshold, and determining the external medium properties based on the comparison result. This approach improves the accuracy of cementing quality inspection; and it allows for independent cementing quality evaluation without the need for combined acoustic impedance information, simplifying the cementing quality inspection process and improving its efficiency.

The invention discloses a cable partial discharge analysis method and device based on oscillatory waves. The method comprises the steps that the oscillatory waves are applied to a tested cable, and low-frequency envelopes and high-frequency pulses are synchronously collected; performing structure normalization according to cable parameters; encoding the environment and working condition data into a condition vector to implement condition normalization; carrying out domain self-adaptive alignment with an ideal template clustered according to a model, a length and a joint / terminal type, and obtaining a difference feature; constructing a PRPD joint fingerprint, and counting a pulse phase, an amplitude, an envelope attenuation rate and / or an equivalent Q; outputting defect positions, types and confidence intervals based on the difference features and the joint fingerprints; and adaptively determining multi-gear upper pressure and advanced shutdown according to the information gain, and generating maintenance priority and retest interval suggestions. Through step-by-step normalization processing, domain adaptive alignment and fusion of PRPD combined fingerprint features, diagnosis stability and reproducibility are enhanced, weak discharge and early defect detection capability are enhanced, and complex working conditions and cross-trigger adaptability are enhanced.

The invention discloses a cable potential attenuation online monitoring method and system, and relates to the field of cable detection, and the method comprises the steps: receiving the instantaneous potential of each child node on a to-be-detected cable at the same collection moment; according to the instantaneous potential of each child node, the potential difference between the adjacent child nodes is calculated, and the attenuation rate between the adjacent child nodes is calculated in combination with the actual length between the adjacent child nodes; determining a potential profile line according to the attenuation rate between the adjacent child nodes; acquiring historical potential baselines of cables of the same type; determining an attenuation rate difference value between adjacent child nodes according to the potential profile line and a historical potential baseline; and under the condition that the attenuation rate difference value between the adjacent sub-nodes exceeds a preset abnormal threshold value, generating a monitoring abnormal signal, and positioning an abnormal position. By implementing the method, the problem that the cable state cannot be comprehensively reflected by only depending on local sensor measurement in the prior art is solved, and the operation reliability of a power system is effectively improved.

The invention discloses an ultrasonic detection method, device and equipment for pore size distribution of a metal additive part, a medium and a product, and relates to the field of intelligent manufacturing equipment.The method comprises the steps that an ultrasonic surface wave frequency domain attenuation rate set is calculated based on a time domain signal; the time-domain signal is a time-domain signal of an ultrasonic surface wave generated after laser irradiates the to-be-detected metal additive part; on the basis of the ultrasonic surface wave frequency domain attenuation rate set, the equivalent average diameter and the diameter standard deviation of the pores of the to-be-detected metal additive part are calculated, and the pore size distribution of the to-be-detected metal additive part is obtained, and the pore size distribution of the to-be-detected metal additive part can be detected.

The invention discloses a food frying process online monitoring method and system, and relates to the technical field of food processing monitoring. The method comprises the following steps: transmitting a frequency-adjustable ultrasonic signal to a frying medium, receiving a response signal after the medium acts on food, and filtering; according to the comparison result of the amplitude attenuation rate of the response signal and the threshold value, the ultrasonic emission frequency is dynamically adjusted; performing feature extraction on the preprocessed signal to form a feature vector containing amplitude, frequency and energy features; inputting the feature vector into a judgment model trained by a dynamic frequency sample, and outputting a current frying state; and a control instruction of the frying equipment is generated so as to realize process regulation and control. Through combination of frequency-controlled ultrasonic excitation and acoustic feature extraction, the method can adapt to different grease environments and food types, gives consideration to the signal penetration depth and the signal-to-noise ratio, achieves non-destructive, real-time and quantifiable monitoring of the frying process, and remarkably improves the cooking state recognition precision and monitoring consistency.

The invention relates to an intelligent switching and attenuation prediction system for an armored optical fiber transmission path. The system comprises a transmission domain construction module, an interference situation analysis module, a path switching decision module and a database. A main path and a standby path are selected, a dual-path signal-to-noise ratio attenuation rate is taken as a coordinate axis, a reference is established based on an attenuation rate proportion in a non-interference state, and a transmission domain boundary is generated by simulating interference. And generating a time-phased interference situation vector in combination with historical interference data and node topological weights. A main path risk node is positioned in real time, an interference situation vector of a current time period is matched, a target failure boundary point is calculated through a transmission domain boundary, and then a transmission safety distance is deduced in combination with a signal attenuation coefficient, path complexity and environmental factors. And when the safety distance is lower than a threshold value, the system screens candidate paths meeting hop count, stability and load balance, and automatically switches to the candidate path with the lowest risk by calculating a node cascade failure risk value.

The invention discloses a bearing performance degradation type identification method based on a vibration signal tail attenuation rate, belongs to the technical field of mechanical equipment state monitoring and fault diagnosis, and aims to improve the prediction precision of the remaining service life of a rolling bearing and improve the applicability of an intelligent prediction model by effectively identifying the bearing degradation type. The system comprises a data acquisition and preprocessing module, a tail attenuation rate calculation module, a degradation point detection module and a degradation type identification module. Firstly, feature extraction and segmentation processing are carried out on an original vibration signal of the rolling bearing; then, histogram distribution of vibration signal amplitudes is constructed, a right tail area sample is extracted, and a tail attenuation rate index representing signal extreme fluctuation attenuation behaviors is calculated through logarithmic transformation and linear fitting processing; and finally, constructing a dual judgment criterion of ratio threshold value judgment and adjacent point difference value comparison, and realizing automatic identification and classification of three typical degradation modes of bell shape, horn shape and sudden deformation.

The invention discloses a real-time wireless monitoring system and method for the supporting effect of a high-strength light-weight steel arch roadway, relates to the technical field of wireless monitoring, and constructs a multi-source information judgment model by fusing three types of key indexes including strain unbalance degree, stress wave attenuation rate and dominant frequency offset rate. By monitoring the strain difference value of the two sides of the node and the attenuation rate of the bolt piezoelectric pulse signal and combining the vibration dominant frequency offset to carry out dynamic threshold correction, the state judgment accuracy under the complex working condition is remarkably improved. According to the method, change slope analysis is introduced, early recognition of the rigidity degradation trend and the high-risk failure state is achieved, and safety margin evaluation and graded maintenance response can be output. The whole scheme has the advantages of accurate identification, timely response, convenient deployment and the like.

An acoustic signal output device includes a driver unit and a housing that internally accommodates the driver unit. Here, an acoustic signal emitted from the driver unit to one side is set as a first acoustic signal, and an acoustic signal emitted from the driver unit to another side is set as a second acoustic signal. A wall portion of the housing includes a single or plurality of first sound openings for leading out the first acoustic signal to an outside and a single or plurality of second sound openings for leading out the second acoustic signal to an outside. An attenuation rate of the first acoustic signal at a second point with reference to a predetermined first point where the first acoustic signal arrives, the second point being farther from the acoustic signal output device than the first point, is equal to or less than a predetermined value smaller than an attenuation rate due to air propagation. Alternatively, an attenuation amount of the first acoustic signal at the second point with reference to the first point is equal to or more than a predetermined value larger than an attenuation amount due to air propagation.

The application discloses a partial discharge signal denoising method, comprising the following steps: building a partial discharge signal detection platform and a partial signal collection platform; measuring and detecting characteristic signals in the partial discharge signals; screening and classifying the measured signals through a Gaussian test to obtain the characteristic signals; processing and denoising the signals through a fast S transform algorithm and a singular value decomposition SVD algorithm; testing and diagnosing the denoising effect by using two coefficients of noise suppression ratio and amplitude attenuation ratio; and displaying the diagnostic analysis result on a platform display interface. The application discloses a partial discharge signal diagnostic system based on a fast S transform and an adaptive singular value, and solves the problems that the existing technical methods are difficult to balance the denoising effect and extraction speed in the characteristic extraction of the partial discharge signals and are difficult to extract the characteristics.

The invention provides an early warning system and method for a radial artery compression hemostat based on multiple sensors, and belongs to the technical field of complication early warning. The method comprises the steps that S1, multiple types of physiological signals of a radial artery compression area are synchronously collected and subjected to digital processing; s2, discrete wavelet transform is carried out on the proximal end temperature and the telecentric end temperature; performing time domain analysis on the pulse signal, and extracting to obtain pulse amplitude; s3, constructing a temperature distribution model of the compression area based on the temperature difference signal; s4, the resistivity distribution of the compression area is reconstructed through the electrode impedance signal, and the errhysis position is positioned; s5, calculating a pressure change rate based on the pressure digital signal; calculating a pulse amplitude attenuation rate based on the pulse amplitude; and fusing the pressure change rate, the temperature gradient vector, the pulse amplitude attenuation rate and the errhysis index through a weighted summation formula to obtain a comprehensive risk value. According to the invention, through multiple types of sensors, the complication related parameter coverage rate is improved, and the complication early warning timeliness and accuracy are improved.

The invention relates to the technical field of pre-diagnosis and health management, in particular to a low-voltage switch cabinet insulation safety diagnosis method based on discharge characteristic analysis, and the method comprises the steps: synchronously collecting original optical signals through a multispectral sensor array; performing energy compensation by using a multipath reflection equivalent attenuation model to generate reconstructed spectral line intensity data; determining a virtual time zero point by using an autocorrelation function and generating virtual phase analysis atlas data; and constructing an energy spectrum gravity center space coordinate in the energy spectrum feature space to extract a gravity center red shift feature quantity. According to the method, through multi-band relative attenuation rate compensation, power frequency period statistical peak value extraction and energy spectrum space gravity center mapping, the diagnosis problem that the insulation state is difficult to quantitatively evaluate due to signal distortion, reference phase loss and fuzzy characteristic evolution in a non-line-of-sight environment is solved.

The invention provides a seismic data bidirectional frequency band expansion method based on carrier modulation, which relates to the field of seismic exploration, and comprises the following steps: processing original seismic data through time window segmentation, calculating an autocorrelation function and carrying out time domain continuation; solving a prediction coefficient based on entropy maximization constraint to generate an amplitude spectrum; calculating a boundary attenuation rate through boundary frequency point positioning; constructing an attenuation compensation function to generate a frequency domain carrier function; applying sparse constraint to solve a weighting factor and iteratively calculating a modulation amplitude spectrum; and finally, carrying out combined inverse transformation with an original phase spectrum to obtain expanded data. According to the method, the resolution and the signal-to-noise ratio of the seismic data are effectively improved, and the seismic interpretation precision is improved.

The invention relates to the technical field of semiconductor infrared temperature measurement, and provides a real-time self-calibration semiconductor infrared temperature measurement device and a control method thereof. An optical front-end unit of the device comprises a rotary driving mechanism and a rotary filter wheel located in a temperature measurement light path, and a measurement light filter, a calibration attenuation piece with a known attenuation rate and a black body reference piece are arranged on the optical front-end unit; the control unit drives the rotary filter wheel to sequentially switch the three to enter a light path; the signal processing unit converts the modulated optical signals into corresponding first, second and third voltage signals, calculates the real-time total transmittance of an optical path based on the first and second voltage signals and a known attenuation rate, compensates the third signal in combination with the first signal, and outputs a corrected temperature value according to a preset voltage-temperature mapping relation. The device is used for carrying out anti-pollution interference non-contact on-line temperature measurement on a wafer or a cavity in semiconductor manufacturing, and the detection precision and the stability and the reliability in long-term use of a semiconductor industrial site are improved.

The invention relates to the technical field of waterproof material quality detection, in particular to a waterproof roll process state measuring device and method. A surface height sequence measured through laser and contact is synchronously collected, and a surface fabric texture signal and a fabric structure compression fluctuation signal are determined; firstly, the relative displacement of the melt fabric is quantified by utilizing delay correlation between the two, so that the macroscopic process deviation caused by speed mismatch is directly identified; a nonlinear morphology residual error signal is stripped through translation correction and linear gain modeling, and the physical form of the defect is identified according to an amplitude distribution form characteristic value, so that local mutation caused by unplasticized particles and system smooth defects caused by excessive casting are effectively distinguished; the high-frequency texture attenuation rate and the linear correlation degree determined by the frequency domain transfer function are combined, and the microscopic reproduction capability of the melt is quantified to reflect the rheological state characteristics of the melt, so that single thickness detection is expanded into multi-dimensional feature decoupling diagnosis, and the accuracy of waterproof roll process state determination is improved.

The present application relates to the technical field of machining tools, and proposes a tool life real-time monitoring and early warning method and system. First, the original acoustic emission signal of the tool working site is obtained, adaptive cavitation noise cancellation processing is performed, and comparison index calculation is performed based on the processed signal, including entropy change and kurtosis calculation, frequency dispersion-attenuation coupling analysis is performed in combination with short-time Fourier transform, and frequency dispersion slope change rate and energy attenuation ratio are extracted. Subsequently, the current tool individualized threshold vector identified by the deep learning model is obtained from the cloud, compared with the comparison index, the life remaining proportion is determined, and early warning is implemented. Through millisecond acoustic emission signal analysis, microscopic secondary detection and cloud model self-learning, the present application realizes millisecond response, extremely low false alarm rate and seamless system integration under the premise of no shutdown and unattended, and breaks through the traditional fixed tool changing period, and approaches the real service life limit of the tool.

The invention provides a motor abnormal sound detection method and device, and the method comprises the steps: collecting a sound pressure signal and a rotating speed signal of the operation of a motor, carrying out the synchronous processing of the sound pressure signal and the rotating speed signal, obtaining a synchronous original signal, carrying out the feature extraction of the synchronous original signal, and obtaining a feature vector; the feature vector comprises at least one feature component of a rotating speed deviation coefficient, a frequency band energy ratio, a dominant frequency and harmonic relation index and an amplitude attenuation rate, calculating an abnormal sound risk index by using the feature vector, determining an abnormal sound judgment threshold through a dynamic threshold updating strategy, and determining the abnormal sound by comparing the abnormal sound risk index with the abnormal sound judgment threshold. And outputting a motor abnormal sound detection result. According to the motor abnormal sound detection method provided by the embodiment of the invention, the sound pressure signal and the rotating speed signal are synchronously acquired, the multi-dimensional feature vector is extracted, the abnormal sound risk index is calculated, and self-adaptive judgment is performed based on the dynamic threshold strategy, so that an automatic abnormal sound recognition process based on multi-source signal fusion is realized, and the motor abnormal sound detection efficiency is improved.

The invention discloses a main vibration source determination method of a main speed reducer and a vibration main transmission path identification method, and the method comprises the steps: setting a target point and a path point on a box body of the main speed reducer, and selecting a reference point based on the path point; excitation is applied to the path points, frequency response functions of the reference points and the target points are obtained, and the interface force of the path and the vibration response of the target points are obtained based on a TPA inverse matrix method. And analyzing to obtain a main excitation source of each target point. And calculating the relative energy attenuation rate of the path based on the distance between the transmission path and the target point. And in combination with TPA, a power flow method and a path energy relative attenuation rate, calculating to obtain the contribution degree of each transmission path, and further identifying the main transmission path of each target point. Through combination of tests, TPA, a power flow method and an energy attenuation rate, the calculation precision is improved, and vibration and noise reduction of a main speed reducer and fault diagnosis and tracing of a transmission system are facilitated.

The invention relates to the technical field of semiconductor probe performance testing, in particular to a probe performance testing method, which comprises the following steps of: calculating resistance consistency and a signal transmission fidelity ratio of a probe interference working condition through a contact simulation test and a signal transmission simulation test, and performing single-probe simulation verification; for double probes formed by qualified single probes, calculating contact pressure interference variables and electromagnetic crosstalk interference variables, and carrying out cooperative interference judgment; extracting historical probe false data, and constructing an interference false risk model and a non-interference false risk model; grouping the double probes according to interference degrees, and substituting the grouped double probes into corresponding models to calculate risk assessment values; determining an adjustment direction and an adjustment scheme for the high-risk group, and calculating the average attenuation rate of the double probes after adjustment; and after the attenuation rate is verified to reach the standard, the probe group is determined as a qualified performance test probe group, so that the accuracy, the stability and the anti-interference capability of semiconductor probe performance detection are effectively improved.

The application provides an optical fiber communication line fault feedback system and relates to the technical field of optical fiber communication fault diagnosis, which comprises a data acquisition module for collecting state parameters, a feature extraction module for extracting features of the state parameters to obtain a comprehensive feature vector, and a fault discrimination model for performing fault diagnosis based on the comprehensive feature vector, wherein the attenuation rate, reflectivity, packet loss rate, temperature, humidity, vibration signal, electromagnetic pulse signal and radio frequency interference signal of the optical fiber communication line are acquired, and the line performance vector, optical fiber fault vector, connector fault vector and interference fault vector are calculated to form the comprehensive feature vector, so that the influence of the communication related parameters and the environmental related parameters is comprehensively considered, the comprehensive evaluation of the optical fiber communication line is realized, and the precision of subsequent fault diagnosis and fault classification is improved.

This application provides a method and system for detecting smoke in fires, relating to the field of emergency fire protection technology. The smoke detection system includes a dual-spectrum transmitter and a multispectral receiver. The method includes: the dual-spectrum transmitter transmitting a first beam of a first band and a second beam of a second band to the area to be detected according to a preset transmission cycle. The multispectral receiver receives and determines a first spectral response signal corresponding to the first beam and a second spectral response signal corresponding to the second beam. Based on the first spectral response signal and a pre-calculated first reference spectral response signal, the multispectral receiver determines a first attenuation rate corresponding to the first beam, and based on the second spectral response signal and a pre-calculated second reference spectral response signal, determines a second attenuation rate corresponding to the second beam. The multispectral receiver outputs a smoke alarm signal based on each attenuation rate and an attenuation rate threshold. Using this application can avoid false smoke alarms caused by false alarm sources such as dust and water vapor.

The application provides a kind of early warning system and method of radial artery compression hemostat based on multiple sensors, belongs to complication early warning technical field.The method comprises the following steps: S1, multiple types of physiological signals in the radial artery compression area are synchronously collected and digitized;S2, the temperature at the proximal end and the temperature at the distal end are subjected to discrete wavelet transform;the pulse signal is subjected to time domain analysis, and the pulse amplitude is extracted;S3, a temperature distribution model of the compression area is constructed based on the temperature difference signal;S4, the resistivity distribution of the compression area is reconstructed through the electrode impedance signal, and the bleeding position is located;S5, the pressure change rate is calculated based on the pressure digital signal;the pulse amplitude attenuation rate is calculated based on the pulse amplitude;the pressure change rate, the temperature gradient vector, the pulse amplitude attenuation rate and the bleeding index are fused through a weighted summation formula, and a comprehensive risk value is obtained.The application improves the complication-related parameter coverage rate through multiple sensors, and improves the timeliness and accuracy of complication early warning.

An RTG crane that travels on a travel path, the RTG crane being provided with: a travel unit that travels in a travel direction; and a detection unit that detects an object present on the forward side in the travel direction. The detection unit is provided with: at least one radar that detects the object within the detection range by means of millimeter waves or quasi-millimeter waves; and an adjustment unit that adjusts the attenuation rate of the millimeter waves or the quasi-millimeter waves.