59 results about "Propagation attenuation" patented technology

The invention discloses a three-dimensional noise mapping method and system based on point cloud, and belongs to the technical field of urban environmental noise prediction.The method comprises the steps that point cloud data driven three-dimensional modeling and parameter extraction are carried out, an urban three-dimensional model with a geometric topological structure is constructed through laser scanning point cloud data, and related parameters are extracted; based on sound field calculation of ISO 9613 standards, a multi-path propagation model including an atmospheric effect, a ground effect and obstacle diffraction is established, a green infrastructure noise reduction effect is especially considered, and propagation attenuation of noise in a three-dimensional space is simulated; and performing visual expression of three-dimensional noise, and constructing fusion expression of a sound pressure level contour surface and a three-dimensional city model. In view of difficulty in simulation of three-dimensional reconstruction and sound waves in a spatial propagation process in the prior art, the method improves the precision of quantitative prediction, and fuses a green infrastructure noise reduction effect to realize rapid and efficient regional three-dimensional reconstruction and noise mapping.

The invention provides a coal mine fluidized mining dynamic disaster prevention and control method and system, and relates to the technical field of disaster prevention and control. The method comprises the following steps: establishing a risk map based on mining area multi-field information, setting a seismic source intensity upper limit, a path attenuation target and an energy absorption displacement target, implementing in-situ transformation under the constraint of a control index to form a distributed micro-fracture network, and calculating a residual dynamic load spectrum to weaken a seismic source; according to the residual dynamic load spectrum, constructing an artificial barrier and an energy absorption band with wave impedance abrupt change so as to realize propagation energy reduction; a flexible energy absorption protection system is configured according to the residual dynamic load spectrum and the propagation attenuation coefficient, micro-seismic, stress and displacement data are monitored in real time, and parameter self-adaptive correction is achieved through linkage treatment triggered by a threshold value. According to the method, a source-diameter-field integrated active prevention and control system is constructed, dynamic regulation and control and closed-loop management in the fluidized mining process are achieved, and the intrinsic safety and the intelligent level of deep mining are remarkably improved.

The invention discloses an intelligent noise reduction method and system based on a mine earphone, and the method comprises the following steps: S1, obtaining an original noise signal in a mine operation environment, and carrying out the preprocessing of the original noise signal; s2, designing an adaptive compensation mechanism according to the reflection characteristics of the closed space of the mine, calculating a sound wave propagation attenuation coefficient and reflection delay, constructing a roadway reverberation model, and generating advanced compensation sound waves; and S3, carrying out collaborative fusion on the advanced compensation sound wave and a main noise reduction signal to generate a composite noise reduction signal. The invention relates to the technical field of intelligent noise reduction. According to the intelligent noise reduction method and system based on the mine earphone, the noise level in a mine operation environment is effectively reduced, the communication efficiency and the working comfort of operators are improved, potential damage of noise to hearing of the operators is reduced, and therefore the overall safety and the production efficiency of mine operation are improved.

The invention discloses an intelligent sound equipment control method and system based on sound field adaptive adjustment, and relates to the technical field of sound equipment control, and the method comprises the steps: carrying out the time-frequency analysis and matching of a real-time audio stream after the interception of the real-time audio stream, and obtaining a real-time sound field template; positioning the real-time spatial pose coordinates of the user according to the binocular vision sensing data; carrying out sound wave propagation attenuation analysis in a listening area by taking the real-time spatial pose as a reference, and outputting a four-dimensional sound image spatial vector; performing space sound field mapping operation on the real-time sound field template by adopting the four-dimensional sound image space vector to obtain a real-time scene sound field; according to a space pose sequence obtained through camera skeleton time sequence tracking, sound field parameter pre-calculation based on trajectory prediction is executed, and low-delay updating of a real-time scene sound field is carried out according to a calculation result. The technical problem that the sound field cannot be adjusted in real time according to the user position and the environment change in the prior art is solved, and the technical effect of accurately and dynamically adjusting the sound field is achieved.

The invention relates to the technical field of partial discharge detection and sensor verification, and particularly discloses an ultrahigh frequency sensor relative amplitude online verification method for transformer bushing defects. The method comprises the following steps: firstly, spraying conductive paint into a lower porcelain bushing of the transformer bushing to form a creeping discharge channel, and constructing a transformer bushing operation simulation device; then, a standard calibration pulse generator is utilized to inject a discharge signal equivalent to a 10pC electric charge quantity at the defect position of the sleeve; then, the ultrahigh frequency sensor to be tested receives a partial discharge signal, and a relative amplitude model is established based on sensor frequency response, dielectric constant, signal propagation attenuation and installation conditions; and finally, comparing the actually measured signal amplitude with the calculated relative amplitude threshold, and if the amplitude is lower than the threshold, judging that the performance of the sensor is degraded. According to the method, the installation condition correction model is introduced, online evaluation of the sensitivity of the ultrahigh-frequency sensor under the condition that equipment is not disassembled is achieved, the real performance of the sensor in a complex field environment can be accurately reflected, and the reliability and maintenance efficiency of a transformer bushing partial discharge monitoring system are remarkably improved.

The invention discloses a monitoring system and method for determining an abnormal geologic body based on distributed optical fiber sound wave vibration, and relates to the technical field of distributed optical fiber sound wave detection.The monitoring system comprises a distributed optical fiber sensing unit, a signal excitation unit, a photoelectric demodulation unit, a signal processing and analyzing unit, a result recording and outputting unit and the like; the distributed optical fiber is used for continuously collecting stratum vibration response; the signal excitation unit applies controllable disturbance to a known reference position to induce a potential abnormal geologic body to generate an inactive excitation response signal; the photoelectric demodulation unit performs phase demodulation on backscattered light transmitted back by the optical fiber to form distributed vibration measurement data; and the signal processing and analyzing unit is used for filtering and denoising the data, establishing a quantitative mathematical model of a signal incident angle and signal intensity, solving an epicentral distance and an incident angle and calculating the spatial position of an abnormal geologic body by combining propagation attenuation correction and least square inversion, and is suitable for dangerous section identification and avoidance decision before mining and construction.

The invention relates to the technical field of transformer substation monitoring, and discloses an intelligent remote control platform and real-time monitoring control method for an unattended transformer substation, and the method comprises the steps: building a vibration footprint circular ring, collecting a vibration acceleration signal, and carrying out the positioning and contribution degree calculation of a vibration source; constructing a vibration propagation attenuation model, executing multi-stage vibration shadow stripping, and generating an equipment vibration feature vector and a time-varying matrix; establishing a dynamic energy distribution map to identify weak faults, predicting fault trends, constructing an equipment health state prediction matrix, executing an intelligent load regulation strategy, and generating a system optimization control instruction sequence; according to the method, the problem of feature separation under mutual coupling interference of multi-equipment vibration signals is solved, particularly under the condition of a low signal-to-noise ratio, weak fault features of the equipment are accurately recognized through time domain and space dual decoupling, potential faults are found in advance, the precision and timeliness of preventive maintenance are improved, and the method is suitable for popularization and application. And a powerful guarantee is provided for safe and stable operation of the unattended substation.

This application discloses a method, apparatus, device, and medium for self-calibration of an ultrasonic sensor for transformers. The method involves obtaining the spatial distance by using the time difference and measured sound velocity of the same partial discharge pulse received by a built-in UHF antenna and an external ultrasonic sensor; constructing a cross-medium model based on the acoustic parameters of the insulating oil and the tank to calculate the sound pressure transmission coefficient at the liquid-solid interface; constructing a spherical wave dissipation equation in viscous oil by combining discharge and fluid parameters, and calculating the theoretical sound pressure of the outer shell using the distance and transmission coefficient; comparing the measured peak output voltage of the external sensor with the in-situ acoustic-electric conversion sensitivity for online self-calibration. This method reconstructs a high-fidelity sound wave propagation attenuation model, which can improve calibration accuracy and diagnostic reliability.

The application provides a kind of metal pitting defect degree evaluation method and system based on artificial intelligence, by obtaining the micro porosity distribution data of metal plate in the forming process, and the internal fluctuation signal of metal plate under the action of directional stress wave;Based on the propagation attenuation rate of internal fluctuation signal, the geometric parameters of structure abnormal area corresponding to micro porosity distribution data are generated;Obtain the current density distribution data of structure abnormal area;Micro porosity distribution data, geometric parameters of structure abnormal area and current density distribution data are input into artificial intelligence model to associate micro porosity distribution data with current density distribution data, generate the pore current coupling characteristic matrix of metal plate;According to pore current coupling characteristic matrix, the quantitative evaluation result of internal pitting defect degree of metal plate is generated;The technical scheme provided by the application realizes the dynamic quantitative evaluation of the degree of metal internal pitting defect, and breaks through the technical bottleneck of traditional single index detection method in defect evolution mechanism analysis and quantitative precision.

The invention discloses an active noise reduction method, device and equipment for a take-off and landing point of a hovercar and a program product. The method comprises the steps that real-time noise signals and real-time environment parameters around a take-off and landing platform and real-time attitude parameters of the hovercar are acquired; performing propagation attenuation compensation on the real-time noise signal to obtain a corrected noise signal; matching in the model noise model library to obtain a corresponding rotor noise reference spectrum, an airflow noise reference spectrum and a power system noise reference spectrum; performing feature analysis on the corrected noise signal to obtain a rotor noise component, an airflow noise component and a power system noise component; predicting the change trend of the noise component through an adaptive filtering algorithm to obtain a predicted noise signal, and predicting the next airspace position of the hovercar according to the real-time attitude parameters; and generating an offset sound wave signal according to the predicted noise signal, and transmitting the offset sound wave signal to a next airspace position. The method realizes active noise reduction of the take-off and landing point of the hovercar, and can be applied to the technical field of hovercars.

The application discloses a noise space discretization method and device based on space-time characteristics. The method comprises the following steps: obtaining sampling data and environmental data of noise; determining a noise source and an active time of the noise based on frequencies obtained at each sampling time point; determining a propagation attenuation amount based on the noise source; determining a time distribution based on the active time; determining a noise source space-time distribution characteristic based on the propagation attenuation amount and the time distribution; determining a noise receiver space distribution characteristic based on types and sound absorption parameters of a plurality of noise receivers; and determining space discretization information of the noise based on the noise source space-time distribution characteristic and the noise receiver space distribution characteristic. The method establishes the noise space discretization information considering the space-time distribution characteristic based on the noise source space-time distribution characteristic and the noise receiver space distribution characteristic, thereby effectively referencing change factors of the noise in different time scales and geographical spaces, so as to improve the accuracy and practicability of the noise space-time distribution.

The invention discloses a method for quickly estimating the reflection intensity of a defect of a buffer layer of a long-distance high-voltage cable. The method is mainly suitable for quickly and accurately estimating the reflection intensity of an ablation defect of the buffer layer of the long-distance high-voltage cable. The method comprises the following specific steps: (1) respectively testing the head end and the tail end of a defective cable to obtain head end reflection coefficients of the two ends; (2) obtaining frequency spectrum amplitude and pseudo frequency information at the corrected defect; (3) solving to obtain a defect position and a signal propagation attenuation constant; and (4) solving to obtain the reflection intensity of the defect of the buffer layer of the high-voltage cable at any position. The method is simple and rapid to operate and high in calculation accuracy, eliminates the influence of spectrum leakage, the fringe effect and the defect position on the calculation of the reflection intensity to a certain extent, can rapidly and accurately estimate the reflection intensity of the ablation defect of the buffer layer of the high-voltage cable at any position, and improves the calculation accuracy. The method has important reference value for timely mastering the severity of the defects of the buffer layer of the high-voltage cable and determining the priority level of defect processing.

The application discloses a buried pipeline positioning geophysical prospecting method based on gas acoustic waves, and the method comprises the following steps: obtaining pipeline preset information of a to-be-detected operation area; generating a pipeline estimated path according to the pipeline preset information, and determining a corresponding target acoustic excitation mode through a preset excitation parameter library; generating a control instruction to inject a coded acoustic signal into the pipeline based on the target acoustic excitation mode, and synchronously obtaining response signal data collected by a sensor array moving along the pipeline estimated path; calculating and obtaining a planar trajectory of the pipeline in the ground through a beam forming algorithm based on the response signal data; obtaining the buried depth of the pipeline through a preset propagation attenuation model based on the coded acoustic signal and the response signal data; and outputting a pipeline detection result based on the planar trajectory of the pipeline in the ground and the buried depth of the pipeline. The application realizes high-precision and anti-interference pipeline detection by using the recognizability of coded acoustic waves and the spatial resolution capability of array beam forming.

The invention discloses a GIS disconnecting switch displacement defect identification method and system based on ultrasonic signal feature criteria, and belongs to the technical field of electrical equipment state detection, and the method comprises the steps: S10, obtaining I related data, the I related data comprising normal ultrasonic signals obtained at all parts of a GIS disconnecting switch; each part comprises a moving contact, a static contact and an operating mechanism; and S20, acquiring II related data according to the I related data, the II related data being normal ultrasonic signals reaching the contact surfaces of the moving contact, the static contact and the operating mechanism, and generating an ultrasonic signal library based on the normal ultrasonic signals. According to the method, the normal ultrasonic signals of the key parts are acquired and the signal library is constructed, so that the ectopic defects are accurately identified and quickly positioned, and meanwhile, the means of deviation calculation, propagation attenuation analysis, statistical characteristics and the like are introduced, so that the reliability and the stability of judgment are enhanced.

The invention discloses an ultrasonic vibration amplitude measuring platform and method under a load condition, and relates to the technical field of ultrasonic vibration auxiliary machining. Although an existing ultrasonic vibration amplitude measurement device can achieve amplitude measurement under the load condition, measurement data are single, and the propagation attenuation condition and the amplitude fluctuation condition of whole ultrasonic vibration cannot be effectively observed. The device comprises a rotatable ultrasonic transducer, a test piece connected with the ultrasonic transducer, a loading mechanism and an amplitude measuring mechanism, wherein the ultrasonic transducer is used for generating ultrasonic vibration; a plurality of vibration measuring surfaces of which the outer diameters are gradually reduced are arranged on the test piece along the propagation direction of ultrasonic vibration; the loading mechanism is used for applying an axial load and a radial load to the test piece; the amplitude measuring mechanism is used for measuring the amplitude of each vibration measuring surface of the test piece. The method is mainly used for evaluating the amplitude attenuation or fluctuation characteristics of the ultrasonic vibration under different load conditions.

The application discloses a rock burst global monitoring and dynamic-static near and far field cooperative early warning method and system, and the early warning method comprises the following steps: based on the far field generation and propagation mechanism of dynamic load stress wave, determining the key monitoring area of the stope space and the stress wave type, delineating the high stress area of the working face surrounding rock and analyzing the structure characteristics of the rock stratum; setting a microseismic sensor in the far field key area, obtaining parameters such as the source rupture size, energy and magnitude through waveform inversion; arranging an acoustic-electric system in the near field high stress area, dynamically monitoring the coal rock rupture characteristics and quantitatively analyzing the static load energy storage state of the surrounding rock. Combined with the stress wave propagation attenuation coefficient, the near and far field fusion early warning criterion under the superposition action of dynamic and static energy is established, and through the cooperative analysis of multi-source monitoring data, the rock burst advanced precise early warning is realized. The application proposes a disaster gestating space global monitoring technology fusing seismic, acoustic and electric, considers the chain evolution disaster-causing process of dynamic load generation, cross-space propagation and working face surrounding rock damage, and is helpful to significantly improve the accuracy of rock burst early warning.

The invention relates to a method, a device and equipment for acquiring a signal performance reference set of wireless access equipment. The method comprises the following steps: acquiring a device inherent parameter and an adjustable parameter combination of any wireless access device to be tested; configuring the to-be-tested wireless access equipment according to the inherent parameters of the equipment and the adjustable parameter combination, and acquiring the reference signal strength of the configured to-be-tested wireless access equipment; the reference signal intensity is the signal intensity of the configured wireless access equipment to be tested under the condition of no propagation attenuation; and obtaining reference signal performance data corresponding to the to-be-tested wireless access equipment based on the equipment inherent parameters, the adjustable parameter combination and the reference signal strength, and integrating the reference signal performance data corresponding to the to-be-tested wireless access equipment to obtain a signal performance reference set of the wireless access equipment. By adopting the method, the signal performance reference set acquisition method of the wireless access equipment, which is unified and standardized and has multiplexing capability, can be provided.

According to the intelligent sensing caulking sealing structure and the runway pavement health state monitoring method provided by the invention, the prefabricated sensing rubber strip with the modulus gradient transition embedding material is arranged in the runway shoulder caulking, so that tight coupling and cooperative deformation between the sensing optical cable and the caulking glue made of a silicone material are realized; the problems of modulus mismatch, interface stripping, optical cable bounce and the like are effectively solved, and stable and high-fidelity acquisition of vibration signals is ensured; according to the monitoring method, the system identification technology of center line excitation and runway shoulder response is utilized, the surface wave propagation model and the regularization reconstruction algorithm are combined, the runway center line vibration state is inversed in a high-precision mode from runway shoulder signals, propagation attenuation and time delay are compensated, the monitored space coverage capacity and signal restoration precision are remarkably improved, and the monitoring precision is improved. The low-influence, wide-coverage and continuous real-time monitoring of the stock runway is realized, and finally a more reliable and efficient technical scheme is provided for runway surface health state evaluation and operation safety guarantee.

The invention discloses a buried pipeline positioning geophysical prospecting method based on gas sound waves. The method comprises the steps that pipeline preset information of a to-be-detected operation area is acquired; according to the pipeline preset information, generating a pipeline estimated path, and determining a corresponding target sound wave excitation mode through a preset excitation parameter library; based on the target sound wave excitation mode, generating a control instruction to inject a coded sound wave signal into the pipeline, and synchronously obtaining response signal data collected by the sensor array moving along the estimated path of the pipeline; calculating the response signal data through a beam forming algorithm, and obtaining the underground plane track of the pipeline; based on the coded sound wave signal and the response signal data, the burial depth of the pipeline is obtained through a preset propagation attenuation model; and outputting a pipeline detection result based on the underground plane track of the pipeline and the burial depth of the pipeline. According to the invention, high-precision and anti-interference pipeline detection is realized by using the identifiability of coded sound waves and the spatial resolution capability of array beam formation.

The application discloses a kind of long-distance high-voltage cable buffer layer defect reflection intensity fast estimation method, this method is mainly suitable for the quick and accurate estimation of long-distance high-voltage cable buffer layer ablation defect reflection intensity.The specific steps of the method are as follows: (1) test at the defect cable first end and the end, obtain the first end reflection coefficient of two ends;(2) obtain the frequency spectrum amplitude and pseudo frequency information after correction at the defect;(3) solve to obtain the defect position and signal propagation attenuation constant;(4) solve to obtain the reflection intensity of high-voltage cable buffer layer defect at any position.The method is simple, fast, and the calculation accuracy is high, to a certain extent, eliminates the influence of spectrum leakage, aperture effect and defect position on the calculation of reflection intensity, can quickly and accurately estimate the reflection intensity of high-voltage cable buffer layer ablation defect at any position, has important reference value for timely grasping the severity of high-voltage cable buffer layer defect and determining the priority of defect treatment.

The application discloses a kind of combustion reaction analysis laser-induced fluorescence background average absorbance determination method, it is related to combustion test and laser-induced fluorescence technical field, it can at least partly solve the technical problem of quantitative analysis of the propagation decay of laser-induced fluorescence signal in reaction gas in prior art.This application includes: constructing laser-induced fluorescence testing device, two cameras are located at the two sides of reaction cavity respectively;First measurement state is configured to make the distance of two cameras from reaction cavity present preset multiple relationship, synchronous acquisition fluorescence image and calculate first fluorescence intensity ratio;Synchronous acquisition fluorescence image and calculate second fluorescence intensity ratio;Based on the two fluorescence intensity ratio and the preset multiple relationship, calculate absorbance parameter;According to the absorbance parameter and fluorescence propagation path distance, calculate absorption rate.The application realizes laser-induced fluorescence signal absorption quantitative analysis, and provides key error analysis basis for combustion reaction kinetics research.

This invention discloses a behavioral path sequence mining application platform based on dynamic intervention timing selection, belonging to the field of big data mining technology. It includes the following steps: a trend feature calculation module, a path propagation construction module, a path sequence correction module, an intervention timing selection module, and an intervention effectiveness determination module. The trend feature calculation module collects multi-source data from patrol terminals and extracts behavioral trend features within an adaptive sliding window; the path propagation construction module generates a dynamic boundary band and statistically analyzes the intervention propagation attenuation chain with a temporal forgetting factor; the path sequence correction module dynamically adjusts the boundary band in real time based on the cognitive load modulation coefficient and accelerates the effectiveness of the forgetting factor; the intervention timing selection module determines whether the trend feature continuously crosses the upper boundary to determine the intervention timing; and the intervention effectiveness determination module corrects the attenuation chain loss coefficient after intervention. This scheme can suppress false triggering caused by instantaneous noise, improving decision-making accuracy and resource utilization efficiency.

The invention provides an inspection robot multi-source sensing cooperative positioning method and system facing an electromagnetic interference environment, and relates to the technical field of industrial inspection robot positioning. The method comprises the following steps: firstly, acquiring laser radar point cloud data, inertial measurement unit data, wheel type odometer data and ultra wide band wireless signal data acquired by the inspection robot in an electromagnetic interference environment; constructing a spatial topological association graph structure which takes the geometric structure characteristics of the laser radar point cloud as topological constraint nodes and takes the propagation attenuation characteristics of the ultra-wideband wireless signal as edge weights; on the basis, motion constraint embedding processing is performed on data of the inertial measurement unit and the wheel type odometer to generate a graph optimization initial state set; inputting the position coordinates into an electromagnetic interference robust graph optimization engine, and solving to obtain an optimized position coordinate set; and a continuous motion track coordinate sequence is generated according to the position coordinate difference value of the adjacent nodes, and high-precision positioning of the inspection robot in the electromagnetic interference environment is achieved.

The application discloses a kind of roadway anti-seismic safety factor calculation method and safety prediction method, step 1, the minimum mine shock energy E that roadway can resist is determined by all blasting microseismic data in pit min ; Step 2, according to the propagation attenuation law of vibration wave in rock mass, the maximum mine shock energy E max That can be expected to occur is calculated from any position to the remaining energy E m Of roadway;Step 3, according to the minimum mine shock energy E min And E m Resisted by roadway, the anti-seismic safety factor β of roadway is calculated. Wherein, the physical meaning of roadway anti-seismic safety factor calculation formula involved is clear, the parameter calculation involved in formula is clear, the acquisition of blasting microseismic data involved in the calculation process is relatively simple, the cost is very low, and it is strong in universality.

The application provides a coal mine fluidized mining dynamic disaster prevention and control method and system, and relates to the technical field of disaster prevention and control. The method comprises the following steps: establishing a risk atlas based on multi-field information of a mining area and setting an upper limit of a shock source intensity, a path attenuation target and an energy absorption displacement target, implementing in-situ modification to form a distributed micro-fracture network under the constraint of control indexes, calculating a residual dynamic load spectrum to weaken the shock source, constructing an artificial barrier with wave impedance mutation and an energy absorption zone according to the residual dynamic load spectrum to realize propagation energy reduction, configuring a flexible energy absorption protection system according to the residual dynamic load spectrum and a propagation attenuation coefficient, and monitoring microseismic, stress and displacement data in real time, and realizing parameter adaptive correction through threshold triggered linkage disposal. The method constructs a "source-path-field" integrated active prevention and control system, realizes dynamic regulation and control and closed-loop management of the fluidized mining process, and significantly improves the intrinsic safety and intelligent level of deep mining.

The invention discloses a sea ice thickness partition inversion method based on three-layer dynamic roughness of a wind cloud satellite, and the method comprises the steps: firstly obtaining GNSS-R remote sensing observation data, sea ice reference product data and marine environment parameter data, and obtaining a matching sample set through correlation matching; further calculating to obtain electromagnetic physical parameters and in-ice propagation attenuation related parameters of the sea ice and the seawater; constructing a dynamic roughness reflection model of an air-sea ice-seawater three-layer medium structure; dividing the specular reflection points in the matching sample set into normal area sea ice samples and rough area sea ice samples; performing physical method inversion on the sea ice sample in the normal area by adopting a dynamic roughness reflection model to obtain the sea ice thickness of the normal area; constructing a second-stage machine learning model for the rough region sea ice sample, and carrying out regression inversion to obtain the sea ice thickness of the rough region; and finally carrying out fusion processing on the sea ice thickness inversion results of the normal area and the rough area and outputting.

The application relates to the technical field of substation monitoring, and discloses an intelligent remote management and control platform of an unattended substation and a real-time monitoring and control method, wherein the method is characterized in that: a vibration footprint ring is established, vibration acceleration signals are collected, vibration sources are positioned and contribution calculation is performed; a vibration propagation attenuation model is constructed and multi-level vibration shadow stripping is performed, a device vibration characteristic vector and a time-varying matrix are generated; a dynamic energy distribution atlas is established to identify weak faults, predict fault trends, construct a device health state prediction matrix and perform an intelligent load adjustment strategy, and a system optimization control instruction sequence is generated; the application solves the feature separation problem under the mutual coupling interference of multiple device vibration signals, especially under the condition of low signal-to-noise ratio, through double decoupling in time domain and space, the weak fault characteristics of the device are accurately identified, potential faults are found in advance, the accuracy and timeliness of preventive maintenance are improved, and a strong guarantee is provided for the safe and stable operation of the unattended substation.

The application discloses a through-wall fall detection and early warning system and method based on a Lora signal, wherein a transmitter and a receiver are placed on the same side under a partition in a room, the receiver is installed with two antennas, can simultaneously receive the signals reflected and diffracted by multiple paths in the environment by the transmitter, and utilizes signal division operation to eliminate the influence of phase offset, so that the transmission signal and the receiving signal clock are synchronized; in order to cope with the problem of weak signal caused by the attenuation of Lora signal transmission through the partition, a time domain aliasing method is used to amplify the signal, the time-frequency spectrum of the signal is extracted, the signal entropy information, the power mutation curve and the signal-to-noise ratio are calculated as the signal characteristics. The data is labeled based on a fuzzy labeling method to train a deep model, and the fall behavior of a person in the room is detected through the model, and if the fall behavior occurs, an alarm signal is sent. The application can distinguish the normal activity of a person from the fall behavior, has a wide sensing range and high sensing accuracy.

The present invention makes it possible to easily introduce a wireless communication system that enables communication using radio waves in a frequency band having large propagation attenuation and high directivity, between a first communication device and a second communication device arranged at positions that are shielded by a shield and cannot be seen from each other.　A communication system S capable of communicating with a first communication device 10, a second communication device A20a, and a second communication device B20b can be introduced by a simple method of installing a radio wave scattering sheet 1 (a radio wave scattering sheet 30 with a protective layer), which is a radio wave scattering body having scattering characteristics of reflecting incident radio waves in a plurality of directions and not requiring a power supply, at an appropriate place on a ceiling, a floor, or a side wall that can be commonly seen from the first communication device 10, the second communication device A20a, and the second communication device B20b arranged so as not to be directly seen from each other by a shield 110 of a room 100.

The application discloses a multi-node communication path selection method, system and device based on terrain perception, and relates to the technical field of wireless communication.The application comprises receiving terrain information data between nodes, the terrain information data comprising node distance, obstacle blocking area and obstacle type, and performing signal attenuation calculation according to the terrain information data; receiving the residual energy of each node, sharing the residual energy data with other nodes, and calculating the energy consumed by signal transmission between nodes.The application realizes multi-dimensional optimization of the communication path by real-time acquisition and analysis of the terrain information between nodes, evaluation of signal propagation attenuation and blocking, monitoring of the residual energy of each node, and evaluation of energy consumption, significantly improves network performance and resource utilization efficiency, reduces communication interruption risk and energy consumption cost, and has wide application prospect and important technical value.