145 results about "Instantaneous energy" patented technology

The invention discloses an unmanned aerial vehicle trajectory optimization method and device based on deep reinforcement learning and an unmanned aerial vehicle. The method comprises the steps: constructing a reinforcement learning network in advance, and generating state data and action decision data in real time in a flight process of an unmanned aerial vehicle; and taking the state data as input, the action decision data as output and the instantaneous energy efficiency as reward return, optimizing strategy parameters by utilizing a PPO algorithm, and outputting an optimal strategy. The device comprises a construction module, a training data collection module and a training module. The unmanned aerial vehicle comprises a processor, and the processor is used for executing the unmanned aerial vehicle trajectory optimization method based on deep reinforcement learning. The method has the capability of carrying out autonomous learning from accumulated flight data, can intelligently determine the optimal flight speed, acceleration, flight direction and return time in an unknown communication scene, concludes a flight strategy with the optimal energy efficiency, and is higher in environment adaptability and generalization capability.

A system and method for inspecting an object, the system and method comprising a source for generating a penetrating radiation beam for irradiating the object, the beam having, for each instant of time, an instantaneous energy spectrum of intensity, a shaper for modulating the generated beam, thereby creating a shaped beam, the shaper comprising at least a first section and a second section, the first section attenuating the intensity of a portion of the generated beam by a first attenuation factor and the second section attenuating the intensity of another portion of the generated beam by a second attenuation factor, and at least one detector for detecting the shaped beam after the shaped beam interacts with the object. The source may scan a beam across an object while the source and at least one detector are moving on a platform capable of highway travel or on an inspection module movable with respect to the object.

The invention discloses a wind turbine generator gear case fault diagnosis method based on VMD and FA_PNN. Firstly, gear case vibration signals acquired by a sensor are subjected to de-trending processing, then, the processed gear case vibration signals are subjected to VMD variation modal decomposition under the condition of different decomposition numbers and penalty factors, k modal componentsare obtained with a Pearson's correlation coefficient method, singular value entropy, power spectral entropy, marginal spectral entropy and instantaneous energy spectral entropy of the k modal components are extracted from three angles of time domain, frequency domain and time-frequency domain, a feature vector matrix capable of describing operating states of a wind turbine generator gear case ina quantization manner is formed, and finally, test sample data are tested with well-trained firefly optimized probabilistic neural network FA_PNN, so that fault diagnosis of the wind turbine generatorgear case is completed. Classified recognition of faults of the wind turbine generator gear case is realized.

The invention discloses an electric vehicle endurance mileage pre-estimation method. The electric vehicle endurance mileage pre-estimation method comprises the steps of (1) calculating instantaneous energy consumption by monitoring and recording voltage and current output values of a vehicle in real time; (2) calculating average energy consumption within a unit mileage by accumulating the instantaneous energy consumption; and (3) calculating the endurance mileage by using the remaining capacity of a battery and the average energy consumption. The electric vehicle endurance mileage pre-estimation method has the advantages that the remaining endurance mileage is more accurately reflected; the calculated endurance mileage considers factors such as different states of the vehicle, driving habit of a vehicle owner and battery loss; the average energy consumption is calculated through the change of the voltage and the current output by the battery due to these factors; and therefore, the running states of the vehicle are more accurately shown so that the endurance mileage is more accurately pre-estimated.

The invention relates to a high-instantaneous-energy-density electric spark high-speed milling method, which belongs to the field of machining. The method comprises the following steps of: connecting a rotary rod-like electrode with an inner flushing fluid hole with a negative electrode of a power supply, connecting a to-be-machined workpiece with a positive electrode of the power supply and melting to remove the workpiece material by utilizing high-instantaneous-energy-density spark discharge between the electrodes and the workpiece in a machining process; discharging molten material out of a discharge gap by working fluid which flows at a high speed; and cooling the machined workpiece. According to the method, by utilizing high-instantaneous-energy-density spark discharge and a high-pressure forced inner flushing fluid and low-pressure outer flushing fluid combined method, the stability and the high efficiency of machining are realized, and high-efficiency machining on any conductive material, including conventional difficult-to-machine materials such as engineering ceramic with weak conductivity and high-temperature alloy, can be realized.

The invention discloses an intrusion detecting and positioning method for a distributed optical fiber fence. The method comprises the following steps of: performing short-time Fourier transform on a monitoring signal to acquire instantaneous energy distribution of the monitoring signal along a laid optical cable; removing large-range background noise energy distributed along space; extracting information and a position of a mutation point which is relatively greatly changed and is locally abnormal from an energy sequence from which the background noise energy is removed; and judging whether the fence is actually intruded or not, and determining an intrusion position. In the method, mutation information at the mutation point is extracted by a short-time Fourier transform method, and the background noise energy is reduced while random noise is removed, so that the influences of interference to fluctuation noise caused by an unstable optical system and other factors are effectively eliminated, the problems of long-distance intrusion detection and positioning of the distributed optical fiber fence in a complicated application environment under a large noise background are solved, the accurate detection rate of an optical fiber fence intrusion monitoring system can be effectively improved, a false alarm rate can be reduced, and the confidence degree of a security alarming system during actual application can be improved.

The invention discloses an aluminium alloy twin-wire dipulse welding method and a welding power supply thereof. The specific method is as follows: carrying out low frequency modulation on pulse wave shapes on the basis of high frequency to obtain periodically varied pulse bursts; and carrying out efficient and superior welding on aluminium alloy through the active phase match of two branches of the pulse bursts. The welding power supply comprises IGBT soft switching main circuits which are integrated into a whole, a DSP control circuit and a man-machine interactive system. The invention puts forward realizing dipulse aluminum alloy welding on a twin-wire welding machine for the first time, realizes all digital control, directly generates eight branches of PWM signals by utilizing a software module, controls the two main circuits, and reduces the control problems caused by communication; and simultaneously, the two main circuits are concentrated on the same welding machine so that the overall structure is much smaller than the master-slave mode welding machine, in addition methods such as instantaneous energy control and the like are adopted to realize the fine control of dipulse.

The invention belongs to the technical field of underwater acoustic signal processing, and particularly relates to an underwater acoustic signal target classification and recognition method based on deep learning. The method comprises the following steps: (1) carrying out feature extraction on an original underwater acoustic signal through a Gammatone filtering cepstrum coefficient (GFCC) algorithm; (2) extracting instantaneous energy and instantaneous frequency by utilizing an improved empirical mode decomposition (MEMD) algorithm, fusing the instantaneous energy and the instantaneous frequency with characteristic values extracted by a GFCC algorithm, and constructing a characteristic matrix; (3) establishing a Gaussian mixture model GMM, and keeping the individual characteristics of theunderwater acoustic signal target; And (4) finishing underwater target classification and recognition by using a deep neural network (DNN). According to the underwater acoustic signal target classification and recognition method, the problems that a traditional underwater acoustic signal target classification and recognition method is single in feature extraction and poor in noise resistance can be solved, the underwater acoustic signal target classification and recognition accuracy can be effectively improved, and certain adaptability is still achieved under the conditions of weak target acoustic signals, long distance and the like.

An information display configured to display one or more energy efficiency values of a vehicle. The information display system may comprise an information display configured to display an energy recovered indicator corresponding to a ratio of the braking energy recovered using a regenerative braking system. The information display may include both an overall energy recovered indicator and an instantaneous energy recovered indicator.

A system and method for inspecting an object, the system and method comprising a source for generating a penetrating radiation beam for irradiating the object, the beam having, for each instant of time, an instantaneous energy spectrum of intensity, a shaper for modulating the generated beam, thereby creating a shaped beam, the shaper comprising at least a first section and a second section, the first section attenuating the intensity of a portion of the generated beam by a first attenuation factor and the second section attenuating the intensity of another portion of the generated beam by a second attenuation factor, and at least one detector for detecting the shaped beam after the shaped beam interacts with the object.

The invention discloses a carrier-based aircraft automatic landing control method based on robust preview control. Future information and current information on a glide slope track and longitudinal deck movement are used for preview control of a carrier-based aircraft, so as to achieve the tracking of the height of a glide slope and the compensation of the longitudinal deck movement, and meanwhile lateral offset can be effectively suppressed and eliminated to enable the carrier-based aircraft to main lateral stability. The future information is used for feedforward control, the current information is used for feedback control, average operation can be performed in advance for the control surface and a throttle of the carrier-based aircraft to achieve the purposes of tracking and compensation, the instantaneous energy can be reduced, the response speed is accelerated, and the carrier-based aircraft can be ensured to safely land on an aircraft carrier.

The invention relates to a low signal to noise ratio voice endpoint detection method based on a time-frequency instantaneous energy spectrum. A traditional method used for reducing noise is not ideal in noise-reducing effect. The detection method comprises that noise-contained voice is resolved firstly and reconstructs a low frequency component which is resolved, by regarding the time-frequency instantaneous energy spectrum as a basis of the endpoint detection. After being reconstructed, the signal is dealt by an empirical mode decomposition and the screening and rejecting of an intrinsic mode function are carried out in order to gain an effective international monetary fund (IMF) component by applying a correlation coefficient threshold value principle. The IMF component gained through reconstruction undergoes a Hilbert transformation and a corresponding instantaneous energy spectrum is calculated to form a feature vector of voice endpoint detection. The result is dealt with the subframe. A former five frames instantaneous energy spectrum mean value is regarded as the instantaneous energy spectrum of the noise and a start-stop dual threshold method is adopted to detect the endpoint of the noise. The detection method has the advantages of improving the noise-contained time-frequency resolving power and improving the efficiency of the voice endpoint detection.

The invention relates to a medical endoscope laser minimally invasive surgical device with controllable energy density, comprising that laser generated by the laser light source is coupled into an optical fiber by a laser coupling part, the optical fiber is arranged in a control device for decisive range and position of emergent light, the control device for decisive range and position of emergent light is arranged at the opening of a medical endoscope by an interface part of the medical endoscope and electrically connected with a man-computer I / O system by a whole machine control system, and a power supply supplies power for a whole machine; a cooling system cools the laser source, the man-computer I / O system provides the man-computer interaction function, and the laser coupling part is electrically connected with the whole machine control system; a comprehensive control system can lead the instantaneous energy density of the laser which is acted on the affected site to achieve the preset value by controlling and coordinating the laser source and two parts of the control device for decisive range and position of emergent light.

The invention relates to an energy accumulation type hydraulic hole drilling hammer which has large impact power and high energy utilization rate, is suitable for drilling deep wells with slurry, is mainly applied to engineering, such as petroleum drilling, water well drilling, core drilling, foundation pile hole drilling and other projects, and is a rock breaking tool enhancing the drilling efficiency and quality greatly and lowering the drilling cost. The energy accumulation type hydraulic hole drilling hammer comprises an upper joint, a casing, a beakiron and a valve control hammer strike mechanism which is arranged in the casing and has the functions of valve control, hammer raise, energy accumulation and hammer strike. Hydraulic surface force pushes a piston to apply work so as to utilize liquid energy with high efficiency, and a hammer spring can obtain the design energy of hammer strike just by smaller pressure intensity and flow rate; the line of liquid flow is simple, the section of a passage is large, and drilling liquid discharged into a lower cavity at the time of hammer strike can quickly flow to an upper cavity in a negative-pressure state by little energy consumption; and the processes of hammer raise, energy accumulation and liquid discharge to the bottom of a well are all completed in the return stroke, and the instantaneous flow rate discharged to the bottom of the well at the time of stroke is nearly zero, therefore, the drilling liquid only applies work at the time of hammer raise after entering the hole drilling hammer, and the instantaneous energy consumption of hammer strike is very little.

The invention discloses an OLTC fault diagnosis method based on an instantaneous energy entropy and an SVM. The method comprises the following steps of: 1, attaching a vibration detection probe to thetop end of the box wall of an on-load tap-changer, and acquiring 80 groups of vibration signals generated in the action process of the on-load tap-changer in different states, such as normal state, loose state, wear state, burning state and the like; 2, firstly, wavelet packet noise reduction is carried out on the vibration signal, and then EMD decomposition is carried out on the de-noised signal; 3, IMF instantaneous energy change of each unit after decomposition is solved, and entropy values of the instantaneous energy change are taken to form feature vectors; and 4, forming a feature vector by using the entropy as an input of a support vector machine to realize OLTC fault classification. The working state of the transformer on-load tap-changer can be monitored in real time, and the requirement for real-time fault diagnosis of the transformer on-load tap-changer is met. Data support and theoretical basis are provided for targeted maintenance, and manpower, material resources and time are prevented from being wasted.

The invention relates to a grinding machine grinding chatter fault on-line diagnosis method. The method is characterized by processing a grinding machine chatter signal through BEMD; decomposing a constructed complex-value vibration signal into a series of complex-value intrinsic mode functions IMFs; screening real IMF components, correlation between which and an original signal is large, according to a judging criteria based on correlation coefficient; and then, carrying out summation on index quantities of peak-to-peak values, real-time variance, kurtosis, skewness and instantaneous energy and the like of the real IMF components respectively, and carrying out normalization processing to form feature vectors. Feature vectors of a part of experiment sample data are utilized to carry out classification training on a least square support vector machine (LSSVM) to obtain an identification model; then, the rest feature vectors are utilized to verify accuracy of the model, and a detection result is obtained; and finally, the verified LSSVM model is applied to monitoring of a grinding machine so as to monitor and judge the working state of the grinding machine in real time, and adjust operation of the grinding machine in time.

The invention relates to an instantaneous-power-based single phase ground fault line selection method of a resonant grounded system, which belongs to the technical field of small current fault line selection. According to the method, coordinate transformation is performed on the acquired line phase voltage and line current signals to calculate the instantaneous zero-sequence power, the instantaneous real power and the instantaneous virtual power. When a single phase ground fault occurs in the system, the fault line can be selected by a comprehensive algorithm formed according to the principle that the instantaneous energy variable quantity of the fault line is the largest before and after the fault. According to the method, the line voltage and line current signals are used for calculating the instantaneous power, which helps to discover subtle features in a fault ground transient process, and the sensitivity is high; also, the method adopts the principle of relativity, can help to eliminate the influence of large difference in the length of lines, unbalanced loads and arcing ground, and the anti-interference capability is strong.

The invention provides a method and device for calculating the virtual energy storage capacity of a heat / cold supply system and electronic equipment; the method comprises the steps: building a heat flow model of the system according to the structure of the heat / cold supply system; according to the real-time measurement information of the heat / cold supply system, determining the real-time operation state information, and solving a heat flow model of the heat / cold supply system; according to the solving result of the heat flow model, determining the running states that the virtual energy storage amount of the heat / cold supply system is zero and the virtual energy storage amount is full, and calculating the instantaneous energy storage power limit and the instantaneous energy discharge power limit; under any preset adjustment duration, based on the real-time operation state information of the heating / cooling system, solving and optimizing a heat flow model of the heating / cooling system according to the upper limit constraint condition and the lower limit constraint condition of the heat transfer fluid temperature in the pipe network and the indoor temperature of the user side; and obtaining the average energy storage power limit, the average energy release power limit, the energy storage capacity and the energy release capacity of the heat / cold supply system under the adjustment duration according to the optimization result.

The invention relates to a load instantaneous energy feature-based power grid electric energy load monitoring method. The method includes the following steps that: sampling and monitoring are performed at the electric power supply entrance of a power grid, so that voltage discrete signals and current discrete signals can be obtained; discrete wavelet transformation decomposition is performed on the collected voltage discrete signals and current discrete signals, so that wavelet feature discrete signals corresponding to the voltage discrete signals and current discrete signals respectively can be obtained; instantaneous voltage and instantaneous current of the electric power supply entrance are calculated according to the wavelet feature discrete signals; and the load instantaneous energy features of the sampling site are calculated and are determined, and the load instantaneous energy features are adopted as electric energy load identification features of the electric power supply entrance, and a non-intrusive load monitoring load analysis model method is adopted to execute the electric energy load monitoring of the power grid. The monitoring method of the invention can be used for characterizing types and performance features of loads and can be beneficial to the improvement of the electric energy load monitoring of the power grid. With the method adopted, the processing process of the extraction of the load instantaneous energy features at the electric power supply entrance is not complicated, and the amount of calculation is small, and the improvement of the overall efficiency of the electric energy load monitoring of the power grid can be benefitted.

An information display configured to display one or more energy efficiency values of a vehicle. The information display system may comprise an information display configured to display an energy recovered indicator corresponding to a ratio of the braking energy recovered using a regenerative braking system. The information display may include both an overall energy recovered indicator and an instantaneous energy recovered indicator.

The invention discloses a method for preparing a gradient nano-structure on the surface of a high-strength high-hardness metal material. The method comprises the following steps: a tool head (11) and a workpiece (9) are correspondingly connected with the positive pole and the negative pole of a high-instantaneous-energy-density pulsed power supply (1); and favorable contact between the tool head (1) and the workpiece (9) is kept, the high-instantaneous-energy-density pulsed power supply (1), an ultrasonic generator (2) and a nozzle (8) are started up, and the tool head (11) performs ultrasonic vibration along a Z axis under the action of the ultrasonic generator (2) to start to perform high-instantaneous-energy-density electric impulse and ultrasonic combined treatment on the surface of the workpiece. An instantaneous high temperature and ultrasonic micromechanical impact combined function formed by electric impulses can greatly improve the local micro plasticity at processing points of such high-strength high-hardness metal materials as nickle-based high-temperature alloy, die steel and the like, and severe plastic deformation occurs at the processing points, so that the surface of the workpiece can be effectively nano-crystallized, and the average size of surface grains can be 30 nanometers or below.

The invention provides a method for detecting and suppressing Gaussian fitting linear frequency-modulated jamming in a direct sequence spread spectrum (DSSS) communication system. The characteristic that data frequency spectrum transmitted in an information channel in the DSSS communication system is similar to white noise is used, if the linear frequency-modulated jamming is exerted, a strong peak value exists on an instantaneous energy frequency spectrum and an obvious peak value line exists in a time-frequency energy distribution plane. At the receiving end of the DSSS communication system, the extreme point of each time point in the time-frequency energy distribution plane is tracked, so that the track of the peak value line is obtained. A linear regression technology is used to acquire parameters of the peak value so as to roughly estimate linear frequency-modulated slope rate and rotation angle alpha of fractional Fourier transform. According to the parameter alpha, the fractional Fourier transform is carried out on a signal, and an iterative Gaussian fitting process is used to exactly search to obtain the optimal alpha. The wave absorbing processing is performed in the optimal fractional Fourier transform domain so as to suppress the linear frequency-modulated jamming. The de-noised signals are output to the follow-up process.

The invention relates to a high-accuracy resonant grounding system single-phase earth fault line selection method, which comprises the following steps: positioning fault moment, and reading zero sequence current sampling data of each line in half of a cycle before fault and three cycles after fault; carrying out ensemble empirical mode decomposition on the zero sequence current sampling data of each line; calculating instantaneous energy of Hilbert marginal spectrum of each line in a low-frequency band of 0-10 Hz and a high frequency band of above 250Hz, and selecting two lines, the energy ofwhich is the largest, as primary selection lines; carrying out Hilbert transform on the initial half-wave portion after fault of an intrinsic mode function IMF of each of the two primary selection lines, calculating an instantaneous frequency average value of each IMF, and selecting IMF components, the instantaneous frequency average value of which is higher than 250Hz, to reconstruct high-frequency components of the zero sequence current; and carrying out inner product on the high-frequency components of the two lines, if the inner product is negative, judging that the primary selection line,the energy of which is the largest, is the fault line, and if the inner product is positive, judging the fault is the bus fault, outputting a line selection result and ending line selection.

A thermostat may include one or more memory devices comprising a stored setpoint schedule, one or more temperature sensors configured to provide temperature sensor measurements, and a processing system configured to be in operative communication the one or more memory devices to determine a setpoint temperature, and in still further operative communication with a heating, ventilation, and air conditioning (HVAC) system to control the HVAC system based at least in part on the setpoint temperature and the temperature sensor measurements. The processing system may be configured to control the HVAC system by receiving an indication that a total instantaneous energy usage rate for a structure in which the thermostat is installed is projected to exceed a threshold amount; and altering the stored setpoint schedule to reduce an energy usage rate of the HVAC system.

The present invention proposes a method for determining the operation state of a hydraulic turbine based on an EMD theory and HHT transformation. The method comprises the following steps: Step 1, collecting a pressure fluctuation signal by using a pressure sensor; Step 2, performing downsampling processing on the pressure fluctuation signal; Step 3, using the wavelet transformation to de-noise thepressure fluctuation signal after being subjected to downsampling to obtain a pressure fluctuation reconstructed signal; Step 4, adding a high-frequency sine signal with known frequency to the pressure fluctuation reconstructed signal, and determining the new boundary of the pressure fluctuation reconstructed signal by using the image continuation method; Step 5, using the EMD decomposition method to decompose the pressure fluctuation reconstructed signal to obtain each IMF component; Step 6, performing the Hilbert transformation one by one on each IMF component obtained by the EMD decomposition to obtain an instantaneous energy spectrum of the pressure fluctuation reconstructed signal; and Step 7, according to the instantaneous energy spectrum, determining the operation state of the hydraulic turbine. The method provided by the present invention has important significance for analyzing the fault state of the operation of the hydraulic turbine.

The invention discloses a micro-Doppler estimation method for passive target motion tracking. Firstly, signal preprocessing operations such as phase error compensation, multipath signal separation, one-dimensional linear interpolation and principal component analysis are performed on an inputted CSI time sequence; then, short-time Fourier transform is used for time-frequency analysis on the obtained first principal component, a dynamic sliding window is used to solve the local maximum value and extract a continuous instantaneous energy change curve for the obtained power spectral density matrix; and a Doppler change curve after Doppler distortion correction is finally obtained. The method disclosed in the invention can be used to solve the micro-Doppler frequency shift with a sign caused by passive target movement and further realize tracking on a target trajectory and a direction; and the problem that the traditional micro-Doppler estimation method is likely affected by residual noiseand passband signal interference can be solved, and the continuity between data points on the extracted Doppler change curve can be effectively enhanced.

The invention relates to the field of safety of blasting vibration and aims to provide a safety evaluation method and system of blasting vibration based on energy input. The system comprises a blasting vibration safety evaluation module built-in a computer system. The method comprises the steps of: performing empirical mode decomposition for a signal of blasting vibration, extracting a function component of natural mode of vibration of a blasting vibration signal, performing Hilbert conversion for the function of natural mode of vibration of the blasting vibration signal and calculating the Hilbert instantaneous energy value of the signal; integrating the Hilbert instantaneous energy value and obtaining a total input energy TIE value; comparing the total input energy TIE value as a safety evaluation index of blasting vibration with a critical TIE index of a protected object in a safety evaluation index library module of blasting vibration to obtain the safety indication information. By using the TIE as the safety evaluation index of blasting vibration, the invention can perform more explicit and concise quantificational description for factors such as basic frequency, duration and the like and evaluate the influence of the blasting vibration more accurately, thereby avoiding the erroneous judgment of blasting vibration damage.

A conferencing unit reduces or eliminates percussive noise in audio that it outputs to a far-end. The unit filters near-end audio into a plurality of bands and calculates instantaneous energies for each band. The energies in first and second ranges of the bands are summed, and a difference between the two sums is compared to a threshold value to determine whether speech is present in the near-end audio received. The first range is preferably a mid-band range of frequencies of 300 to 600-Hz, while the second range is preferably an outer-band range of 100-Hz to 300-Hz and 600-Hz to 14-kHz. Based on the determination, the conferencing unit adjusts an output level of the near-end audio to reduce or eliminate any percussive noise in output audio while there is not a substantial amount of speech in the near-end audio.

The invention relates to a dual motor integrated pure electric passenger car power distribution strategy optimization method, and belongs to the field of power distribution. Relative parameters of a dual motor integrated pure electric car are reasonably chosen, relative work condition simulation is conducted by applying four strategies of power distribution strategies (including a dynamic programming strategy and an instantaneous energy consumption minimization strategy) based on the optimization method and a power distribution strategies (a dual motor equal torque distribution strategy and amain auxiliary motor torque distribution strategy) based on a rule, and the optimum strategy of pure electric passenger car power distribution is found by comparing, namely instantaneous optimizationshould serve as the best method for integrated dual motor pure electric passenger car power mode distribution.

The invention discloses an ophthalmology ultrasonic bio-measurement method and relates to the technical field of medical ultrasonic measurement. The method comprises the following steps: storing a digital signal in a programmable logic component; carrying out original code to complementary code calculation on the digital signal to obtain complementary code data; carrying out odd number line frequency reduction, filtering and odd number line frequency rising on an odd number line in the complementary code data successively to obtain processed odd number line data; carrying out even number linefrequency reduction, filtering and even number line frequency rising on an even number line in the complementary code data successively to obtain processed even number line data; carrying out selection, post-filtering, wave detection, logarithm amplification and secondary sampling process on the odd number line data and the even number line data by using an alternative selector; and connecting the selector with a terminal through a USB (universal serial bus) and a periphery circuit so as to display the final image and data. With the adoption of the ophthalmology ultrasonic bio-measurement method, an ultrasonic pulse transmitting voltage is reduced to 12V, so that instantaneous energy output is reduced, omnidirectional imaging of a human body eye tissue is obtained in a lower ultrasonic pulse transmitting voltage is reduced, and precise measurement of a biological tissue is obtained.