213 results about "Wave speed" patented technology

The invention relates to the technical field of power systems, and discloses a distribution line fault positioning method and system based on traveling wave distance measurement. The method comprises the following steps: injecting a zero-mode signal through an electrified pulse coupler, carrying out wave velocity hierarchical analysis on a mixed line impedance node to obtain a propagation parameter matrix, generating an empty-mode echo by utilizing mode conversion of a fault asymmetric point, screening by adopting a frequency domain fingerprint identification algorithm to obtain a pure fault signal, and carrying out fault detection on the pure fault signal. And three-dimensional fault coordinates are obtained based on reverse time-distance mapping processing. According to the invention, the problem of accurate positioning of the fault point in the live-line operation state of the hybrid distribution line is solved, and the fault positioning accuracy and the power supply reliability are improved.

The invention discloses a power grid fault positioning system and method based on traveling wave distance measurement, relates to the technical field of fault analysis, and solves the technical problems that traveling wave feature analysis, temperature compensation and high-precision synchronization technologies are not effectively integrated, and rapid and accurate fault positioning of a smart power grid is difficult to meet. Through the technical combination of dynamic temperature compensation, high-precision time synchronization and intelligent fault classification, the bottlenecks of traditional traveling wave distance measurement in the aspects of precision, reliability and intelligence are systematically solved, temperature sensors are deployed at key nodes of a cable, the temperature is monitored in real time, the wave speed is dynamically corrected through a formula, the overall error is reduced, and the fault location accuracy is improved. Meanwhile, an optical fiber two-way time transmission method is combined, transmission delay errors are reduced, synchronization reliability is improved, finally, a mapping library is constructed through laboratory simulation and field data, a Euclidean distance matching algorithm is combined, fault reasons are automatically recognized, and rapid positioning of the faults and accurate recognition of the fault reasons are achieved.

The invention discloses an underground space surrounding rock excavation damage area testing method, which belongs to the technical field of rock mass damage testing, and comprises the following steps: sampling rocks with different depths, carrying out ultrasonic testing, and determining rock sample attenuation characteristics and wave velocity; determining a comprehensive damage index range of the rock samples with different damage grades; then, sensors are arranged in the excavation process to collect ultrasonic and acoustic emission data; then, an initial calculation model is constructed, and a surrounding rock three-dimensional wave velocity model is obtained through inversion of collected data; and finally, determining a damage grade according to the comprehensive damage index, and marking in the model to realize damage area testing. According to the method, the mapping relation between the damage degree and the wave velocity change is established, the comprehensive damage index range threshold value of different subareas is provided, quantitative and gradable classification is achieved, the three-dimensional wave velocity model is inversed based on test and monitoring data, and three-dimensional presentation and grading labeling of the damage area are achieved.

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 relates to the technical field of discharge monitoring and early warning, in particular to a partial discharge real-time monitoring and early warning system based on multi-source data fusion, which is characterized in that decision tree classification is carried out on a mixed transient signal flow through a signal physical separation module, and pure electromagnetic wave speed type and mechanical wave speed type signal sources are separated; the feature marking module extracts feature points with a unified time reference and marks physical attribute categories; the double-path credibility fusion module executes time difference logic verification on the two types of feature points, a credible discharge event is marked only when an electromagnetic wave verification result and a mechanical wave verification result are logic values 1 at the same time, event confidence parameters are generated through dynamic confidence fusion, and physical interlocking verification and uniqueness locking are achieved; the anti-interference response module dynamically adjusts a response threshold value based on the event confidence parameter, and only triggers a targeted response to the threat which is physically and essentially confirmed to be real discharge and has confidence reaching the standard; the problem of distinguishing a real discharge event from multi-source interference is solved, and the real discharge event is reliably identified.

The invention discloses a tunnel micro-seismic enhanced positioning method and system based on a DAS and a blasting active source signal. The method comprises the steps that firstly, optical fibers are arranged on the surface of a tunnel wall and in a drill hole; blasting the tunnel face to generate a blasting active source signal with known time and space; then, a blasting active source signal is collected through a DAS system, and P wave arrival time of each monitoring point on the optical fiber is recorded; establishing and optimizing a wave velocity field partition model according to the spatio-temporal information of the blasting active source signal and P wave arrival time of each monitoring point on the optical fiber; and when a micro-seismic event occurs in the surrounding rock, the optimized wave velocity field partition model and P wave arrival time measured at each monitoring point on the optical fiber are utilized, a geometric algorithm is combined to invert and position the micro-seismic event, and a positioning result is output. The system comprises a signal acquisition system, an optical fiber network and a DAS system. The method has the advantages that the wave velocity field model is optimized and dynamically updated by using the tunnel face blasting signal, and the distributed sensing is performed by using the DAS system, so that the capability of monitoring and evaluating the micro-seismic event of the tunnel is remarkably enhanced.

The invention relates to the technical field of earthquake monitoring, and discloses a comprehensive earthquake prediction method, which comprises the following steps of: acquiring a continuous micro-motion data sequence to reconstruct an empirical green function sequence, and dividing the empirical green function sequence into a compression phase subset and a stretching phase subset by utilizing a synchronously acquired theoretical earth tide stress phase; respectively extracting a causal branch waveform corresponding to the positive time axis and a non-causal branch waveform corresponding to the negative time axis, and determining a weight index for inhibiting the non-structural interference by calculating a reciprocity residual error between a causal wave velocity offset and a non-causal wave velocity offset; correcting a wave velocity offset mean value by using the weight index to obtain a stress sensitivity coefficient reflecting the stress state of the earth crust medium; according to the method, a physical criterion is established by using an elastic wave propagation reciprocity principle, decoupling of medium attribute change and noise source spatial drift is realized, and visual wave velocity offset induced by environmental interference is eliminated.

The invention discloses a cable defect detection method and device, and relates to the field of power equipment fault detection, and the method comprises the steps: generating N electric signals with different frequencies in a preset frequency range, inputting the electric signals into a target cable, testing the input impedance of the target cable under the N electric signals with different frequencies, the broadband impedance of the target cable in the frequency range is obtained; according to the broadband impedance, generating an impedance amplitude and an impedance phase of the target cable at each preset frequency point, and constructing an impedance matrix; inputting the impedance matrix into a fault classification model, and identifying and outputting the category of the target cable through the fault classification model; and if the target cable has a fault, extracting the resonant frequency with the maximum amplitude in the broadband impedance amplitude spectrum of the target cable, and determining the fault position of the target cable through a fault positioning model according to the resonant frequency with the maximum amplitude and the typical wave velocity of the target cable. According to the invention, the fault of the target cable can be automatically, quickly and accurately identified, and the fault position can be positioned.

The invention relates to the technical field of wireless communication, and discloses an information source number detection method and system based on a non-circular signal. The method comprises the following steps: calculating a compensation sample covariance matrix of a received signal, and obtaining a sample canonical correlation coefficient through Takagi decomposition of the compensation sample covariance matrix; constructing a marginal likelihood function of the maternal typical correlation coefficient; taking a sample canonical correlation coefficient as an estimated value of a corresponding matrix, and establishing an estimated statistic by applying a minimum description length criterion; and obtaining the number of the parent typical correlation coefficients when the estimation statistic is minimized, and taking the number as an estimation value of the actual number of the non-circular signals. According to the method, the characteristic that the non-circular signal compensation covariance is not zero is fully utilized, the marginal likelihood function with the minimum redundancy parameters is adopted to construct the statistics, high-precision estimation of the number of the non-circular signals can be achieved, and necessary guarantee is provided for practical application scenes such as direction of arrival estimation and wave velocity formation.

The invention provides a roadway surrounding rock dynamic deformation prediction method and device, equipment and a storage medium, and the method comprises the steps: carrying out the feature extraction of the dynamic data parameter information of the roadway surrounding rock, so as to determine the propagation speed change information of a stress wave in the surrounding rock and the instantaneous strain change rate of the surrounding rock under dynamic loading; determining a wave velocity change index according to the propagation velocity change information of the stress wave in the surrounding rock; determining an instantaneous deformation strain rate index according to the instantaneous strain change rate of the surrounding rock under dynamic loading; inputting the wave velocity change index and the instantaneous deformation strain rate index into a pre-trained machine learning model to generate a surrounding rock deformation index; and performing surrounding rock change state evaluation based on the surrounding rock deformation index. By implementing the method disclosed by the invention, the influence of instantaneous stress wave propagation caused by dynamic loading on the surrounding rock can be effectively combined in the dynamic deformation prediction process of the roadway surrounding rock, so that the accuracy and practicability of a dynamic deformation prediction result of the surrounding rock are effectively improved.

The invention provides a Prony algorithm-based cable segment wave velocity acquisition method, device and system, and a medium, and the method comprises the steps: testing a to-be-tested cable, and obtaining a cable signal transfer function; on the basis of the cable signal transfer function, in combination with cable joint distribution, constructing a cable signal approximation function based on a Prony method; constructing a linear prediction model of the cable signal based on the cable signal approximation function; performing denoising processing on the linear prediction model based on a singular value decomposition method to obtain a denoised linear prediction model; solving the denoised linear prediction model to obtain an attenuation coefficient; and calculating the segmented wave velocity of the cable based on the attenuation coefficient. According to the method, the Prony estimation method is combined with the singular value decomposition noise reduction algorithm, high-precision extraction of attenuation constants and segmented wave velocity decoupling are achieved, and then the electrical distance positioning precision is improved.

The invention discloses an inertial navigation underwater path tracking method and system for a complex marine environment, and relates to the technical field of inertial navigation. The method comprises the following steps of AUV navigation monitoring, underwater tracking position correction, underwater path tracking stability analysis and underwater path tracking stability change analysis. According to the method, the IMU acceleration change condition and the DVL wave velocity quality fluctuation condition in the INS are monitored, IMU acceleration change analysis and DVL wave velocity quality fluctuation analysis are carried out respectively, then an underwater tracking position correction scheme is decided based on the two analysis results, and underwater path position credibility analysis is carried out at the same time. And whether path stability correction measures are taken or not is judged according to the stability condition of underwater path position tracking of the AUV, and then whether path correction adjustment is executed or not is determined, so that the precision of the underwater path tracking position is improved, and the problem that the accuracy of the underwater path tracking position is reduced in the prior art is solved.

The invention discloses a ring main unit cable line fault positioning system and method based on traveling wave intelligent sensing, and relates to the technical field of ring main unit cable line fault positioning, and the method comprises the following steps: arranging a traveling wave sensor at a position corresponding to a cable connecting plug or a solid-sealed polar pole in a ring main unit; an initial correction stage is carried out, a known electrical event is triggered on a cable in actual operation, the propagation time of a traveling wave signal between the two ends is measured, and the wave velocity of the traveling wave is actually measured on site and dynamically updated in combination with the known cable length; the method comprises the following steps: executing initial correction under different operation conditions, collecting corresponding data of working conditions and wave velocities, constructing a self-adaptive model of the wave velocities and working condition parameters, and when a fault occurs, dynamically predicting the wave velocities based on the constructed model according to current working condition parameters monitored in real time; and on the basis of the identified wave head timestamp, constructing an overdetermined equation set and solving an optimal fault position, so that the cable line fault positioning of the ring main unit is realized.

The invention discloses an acoustic black hole structure and a vibration damping device.The acoustic black hole structure comprises an acoustic black hole body and a damping layer, the acoustic black hole body is provided with a uniform thickness area and an acoustic black hole area, the acoustic black hole area is provided with a plurality of grooves, the grooves are distributed from the first end to the second end of the acoustic black hole area, and the damping layer is arranged between the first end and the second end of the acoustic black hole area. The depths of the grooves are gradually increased in the direction from the first end to the second end, and the damping layer is arranged in the acoustic black hole area. By machining the groove in the acoustic black hole area, the local bending rigidity of the acoustic black hole body is changed, the bending wave speed of the acoustic black hole body is reduced, the acoustic black hole effect is achieved, due to the arrangement of the groove, the local resonance effect can be utilized, and then structural vibration suppression in the low-frequency range is achieved; the problem that a traditional acoustic black hole structure is poor in low-frequency-band vibration reduction effect is solved, in addition, thickness cutting of an acoustic black hole area of an original structure is avoided, and the manufacturing difficulty and the requirement for the precision of machining equipment are lowered.

The invention discloses a real-time rendering method and system for physical simulation water surface waves, and the method comprises the following steps: constructing a generative adversarial network, obtaining a wave vector and an environment parameter variable of the waves, inputting the environment parameter variable into the pre-constructed generative adversarial network, and calculating the height of the waves through a Tessendorf method; calculating wave displacement through Fourier transform and inverse transform in a frequency domain based on the wave vector; calculating the velocity complex amplitude of the corresponding wave based on the wave vector, introducing a micro-scale vortex velocity field based on a particle system, and calculating the wave velocity based on the velocity complex amplitude and the micro-scale vortex field; and based on the wave height, the wave displacement and the wave speed, performing water surface wave rendering by adopting multi-cascade dynamic. According to the method, the physical rationality and visual authenticity of water surface wave simulation are improved, and water body physical simulation is promoted to develop from visual driving to the fusion direction of physical driving and data driving.

A method, apparatus, and non-transitory, computer readable medium are disclosed herein for optimizing a pressure pulse signal during ramp down operations for a hydraulic fracturing process in a wellbore. In one embodiment, a method comprises: obtaining pressure pulse data from a wellbore; calculating wave speed for the wellbore; and determining a rate change schedule for use during a ramp down procedure based on the wave speed.

The invention relates to the technical field of electronics, and discloses a reservoir area wading dangerous rock mass monitoring and early warning system, method, device and equipment and a medium, and the system comprises a rock mass soft zone positioning module, a rock mass damage sensing module and a monitoring and early warning module; the rock mass damage sensing module comprises a plurality of wave velocity monitoring sensors, the plurality of wave velocity monitoring sensors are arranged in a soft zone area of a target rock mass according to a preset requirement, each wave velocity monitoring sensor is used for collecting wave velocity data of a target position, and the soft zone area is determined by using the rock mass soft zone positioning module; the monitoring and early warning module is connected with the rock mass damage sensing module and used for determining rock mass damage information of target positions where the corresponding wave speed monitoring sensors are located based on the wave speed data collected by the wave speed monitoring sensors and determining early warning information of target rock mass based on the rock mass damage information of the target positions. The scientificity and effectiveness of monitoring and early warning of the wading dangerous rock mass in the reservoir area are effectively improved.

The invention relates to the technical field of high-rise building disassembly, in particular to an intelligent disassembly system for a high-rise building, which comprises a temporary support frame, a data acquisition module and a disassembly control module, the disassembly control module comprises a plurality of disassembly areas divided according to a preset size, and the distribution uniformity of wall concrete aggregate is determined according to the speed difference of wave speed; the area division unit is used for adjusting the preset size according to the volume ratio of angular aggregate in the disassembly area, the area optimization unit is used for re-dividing the remaining disassembly area of the remaining wall body according to the exposed bar length, and the disassembly sequence is determined according to the stirrup density ascending sequence corresponding to the multiple disassembly areas. The sequence determining unit is used for optimizing the dismounting sequence according to the deformation form of the steel bar joints, and the supporting control unit is used for determining the depth adjusting coefficient according to the crack expansion rate of the wall surface and optimizing the depth adjusting coefficient based on the deformation angle of the supporting rod. The dismounting safety of the wall body of the high-rise building is improved.

The invention relates to a defect detection method based on fast and slow wave chasing, and the method comprises the following steps: 1, calculating a guided wave frequency dispersion curve of a one-dimensional component, and determining the propagation speeds of guided waves under different frequencies, 2, selecting two excitation frequencies, respectively corresponding to different propagation speeds, recording a fast wave with a fast propagation speed as a fast wave, recording a wave speed as V1, recording a slow wave with a slow propagation speed as a slow wave, 3, when the fast waves reach the meeting point, if the point has defects, the defects are fully expanded under the stretching action of the slow waves, so that the reflection of the fast waves is improved, 4, the excitation time interval of the fast waves and the slow waves is delta t, and 5, the emission time interval is continuously changed, so that the fast waves and the slow waves meet at different positions d, and the reflection of the fast waves and the slow waves is improved. And step 6, extracting the intensity of the fast wave echo signals at different d positions as a (x), obtaining a corresponding relation curve of the echo intensity and the length of the component, and if the curve is obviously increased at a certain position, determining that the position has defects.

The invention provides a method and a device for determining detonation wave characteristics in a detonation tube, electronic equipment and a medium, and relates to the field of detonation wave characteristic research, and core flow field characteristics can be completely captured by accurately acquiring a detonation tube space propagation area and multi-layer real grid data and combining with a flow field control equation solution under an inertial reference system. The initial speed of the reference system is dynamically updated based on the wave speed of the detonation wave, it is ensured that the key area of the detonation wave is always located in the computational domain, and data distortion caused by core flow field deviation is avoided. Multiple times of iteration solving are carried out to obtain multiple detonation wave velocities, so that single calculation errors and wave surface fluctuation interference are effectively reduced, and the data reliability is improved. The propagation stability, the development stage and the energy characteristics can be comprehensively analyzed based on multiple groups of detonation wave velocities, the limitation of single data is broken through, accurate data support is provided for detonation wave mechanism research and structure optimization, and the scientificity of characteristic analysis is enhanced.

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

The invention discloses a fault point positioning method, device and equipment based on traveling wave signal wave velocity correction. Relates to the technical field of fault detection, and the method comprises the steps: employing a predetermined traveling wave distance measurement device to collect the propagation speed of a fault traveling wave in a target transmission line when an external line has a fault, and the target transmission line is an overhead line or a cable line; correcting the propagation velocity based on a pre-constructed wave velocity-frequency relation curve corresponding to the target transmission line to obtain a corrected wave velocity; performing calculation processing based on the correction wave velocity and the predetermined length of each segmented interval to obtain a target fault interval; and adopting a preset fault section endpoint positioning mode to carry out fault positioning on the target fault section to obtain a target fault point position. According to the method, the accuracy of fault point positioning can be improved.

The invention is suitable for the technical field of water conservancy and hydropower engineering geophysical prospecting, and provides a method and system for quantitatively evaluating rock mass quality by using resistivity, and the method comprises the following steps: obtaining resistivity data of a target rock mass; selecting a corresponding conversion model according to the rock mass pore space connectivity and the water-containing state; converting the resistivity data into equivalent wave velocity data by using a conversion model; calculating a rock mass quality evaluation index according to the equivalent wave velocity data; performing quantitative evaluation on the rock mass quality based on the rock mass quality evaluation index; according to the method, direct comparison of an earthquake type method and an electromagnetic type method on the digital level and the mapping effect is facilitated, mutual verification and mutual complementation of results of different geophysical prospecting methods are facilitated, and conditions are created for multi-method data fusion.

The invention discloses a deep cutting rock high slope unloading damage dynamic evaluation method. The method comprises the following steps: determining an excavation range of a deep cutting rock high slope, determining physical and mechanical parameters of the deep cutting rock high slope, testing wave velocity values and deformation moduli at different positions of the high slope, and determining a reference wave velocity value when the deep cutting rock high slope is not damaged and a reference deformation modulus when the deep cutting rock high slope is not damaged; establishing a deep cutting rock high slope unloading area range determination model with coupling of an acoustic wave test and a drilling elastic modulus test; determining the range of the unloading damage area of the deep cutting rock high slope; calculating an unloading damage comprehensive evaluation coefficient value; and evaluating according to the calculated unloading damage comprehensive evaluation coefficient value of each coordinate point. According to the method, the single evaluation of the unloading damage of the deep cutting rock high slope in the past can be broken through, the unloading damage factors caused by engineering disturbance, rock mass degradation and environmental evolution are added, the evaluation system is more comprehensive, and quantitative evaluation of multi-factor coupling can be realized.

The invention provides a filling pipeline leakage monitoring and positioning method, device and equipment and a storage medium, and relates to the technical field of pipeline monitoring. The method comprises the following steps: acquiring time-varying data of pressure in a pipeline through a pressure sensing unit, and identifying leakage triggering characteristics; transmitting a pressure pulse wave at the starting end of the pipeline and receiving an echo signal, and calculating a pressure wave propagation speed under the current working condition according to the echo signal; and the arrival time of the pressure waves arriving at the sensors is extracted, and based on the pressure wave propagation speed and the pressure wave arrival time difference, leakage point coordinates are obtained through calculation. According to the method, the leakage characteristics are rapidly identified through real-time pressure collection, the real-time wave velocity under the current working condition is obtained through the active pulse echo technology, and the wave velocity calculation deviation caused by medium characteristic changes is effectively eliminated; and the actually measured wave velocity and the time difference of arrival are combined for calculation, so that error accumulation in long-distance transportation is overcome, and the precision and reliability of pipeline leakage positioning are remarkably improved.

The invention relates to the technical field of roadbed detection, and discloses a roadbed compaction quality detection method based on ultrasonic wave collaboration, and the roadbed compaction quality detection method comprises the following steps: collecting full-wave band ultrasonic echo signals, and obtaining current environment data; calculating a longitudinal wave speed, a transverse wave speed and a wave speed ratio, and extracting an attenuation coefficient and a frequency dispersion characteristic of the ultrasonic echo signal to obtain an acoustic characteristic set; inputting the acoustic feature set and the environmental data into an environmental compensation model, outputting a standard acoustic parameter set subjected to temperature, humidity and water content correction, analyzing the standard acoustic parameter set through a soil texture classification algorithm, and judging the current soil texture type; and combining the standard acoustic parameter set and the current soil texture type into a multi-dimensional feature vector, inputting the multi-dimensional feature vector into a compactness calculation model, and calculating to obtain a roadbed compactness value of the current measuring point. According to the method, high-precision compaction degree numerical calculation is realized, and intelligent and visual whole-process support is provided for roadbed construction quality.

The invention relates to the technical field of underground detection, and discloses a low-frequency electromagnetic field detection positioning method for an underground metal target. According to the invention, a five-frequency-band time division multiplexing detection system is adopted in the frequency band of 1-100 kHz, and a special antenna is matched, so that deep target coverage within 40 meters can be realized, and shallow accurate measurement requirements can be ensured; meanwhile, distributed reference beacon nodes are deployed, parameters such as medium conductivity, dielectric constant and humidity are collected in real time, a wave velocity prediction model is constructed based on support vector regression to dynamically correct the electromagnetic wave propagation velocity, and correction errors are controlled; a time-frequency domain joint sparse reconstruction algorithm is used for separating a close-range target aliasing signal, so that an adjacent metal target can be effectively identified; finally, multi-band emission, signal receiving, medium sensing and a central processing unit are integrated to form a closed-loop cooperative system, an underground target three-dimensional model is generated, position coordinates and size and metal type attribute information are output, the system is suitable for complex scenes such as high-humidity soil and gravel layers, and the comprehensive detection performance is remarkably improved.

The application relates to the field of gas pressure safety monitoring, and discloses a multi-scene gas pressure safety guarantee and remote monitoring system. The system comprises a dual-mode sensing module, a topology mapping module, a wave speed cooperation module, a fluid routing module, a routing locking module and a remote monitoring module. The wave speed cooperation module utilizes the difference between the propagation speeds of radio waves and pressure waves to send a preemptive wake-up frame, drives a downstream node to start sampling and backtrack to read a hardware cache before a pressure wave arrives, and realizes complete capture of a transient waveform. The fluid routing module constructs a high-reliability control slice containing only physically connected links and a full-through monitoring slice based on radio frequency based on fluid connectivity parameters. The routing locking module generates cascaded locking instructions bound to the control slice, prevents mis-transmission of the instructions beyond a physical breakpoint by using a routing overhead mechanism, and reports a state after a circuit is opened by the monitoring slice. The application effectively solves the problems of transient leakage of low-power devices and mismatch between wireless control logic and physical topology.

The invention discloses a long-distance and short-distance combined advanced geological forecasting method and system and storage equipment, belongs to the technical field of geological forecasting, and can solve the problem that long-distance accurate forecasting is difficult in the prior art. The method comprises the following steps: S1, constructing a three-dimensional geological model within a first length range from a tunnel face in a to-be-constructed area according to exposed geological information of a constructed area, and predicting a first heteroplasmon within the first length range based on the three-dimensional geological model; s2, predicting a second heteroplasmon within a first length range by using an electromagnetic prospecting method, and correcting the three-dimensional geologic model by using the second heteroplasmon; s3, determining a wave velocity parameter within a second length range from the tunnel face by using a seismic exploration method, and predicting a third heteroplasmon within the second length range based on the wave velocity parameter; and S4, correcting wave velocity parameters according to the first heteroplasmon, the second heteroplasmon and the third heteroplasmon, and carrying out geological forecast according to the corrected wave velocity parameters and the corrected three-dimensional geological model. The method is used for geological forecast.

1. Name of the designed product: wave speed ball (Chengguang). 2. Use of the designed product: wave speed ball for sports fitness. 3. Design points of the designed product: combination of shape and pattern. 4. Picture or photo that best shows the design points: perspective view.