87results about How to "Real-time capture" patented technology

The invention relates to a method of intelligent light-environment controlling based on multi-factor coupling. The method includes setting illumination cumulative time according to illumination demand characteristics of plants in the current environment, monitoring real-time red-blue light PFD (photon flux density) value and real-time temperature value in the environment during the illumination cumulative time, matching optimum environment light intensity with the temperature, calculating differences between monitoring values of the red-blue light and target values according to red-blue light saturation point of current plants on different temperature conditions, performing supplementary lighting as demanded, adjusting temperature to be in a threshold range of photosynthesis effective temperature when the monitoring value excesses. The invention further provides a system for implementing the method of intelligent light environment controlling. A multi-factor coupling based intelligent light-environment controlling algorithm is called, so that precise controlling on temperature and sub-band light intensity of the environment is completed; light adjustment can be effectively controlled through a PWM (pulse-width modulation) controlling signal based on minimum energy consumption; and the optimized controlling on the temperature and the sub-band light intensity of the plant growing environment is realized.

The invention provides a far-beam light video detection method and a system. The method comprises the following steps of: a, reading in a video and extracting a headlight block mass; b, comparing the size of the extracted headlight block mass with a set threshold value, and performing Laplace processing on the extracted headlight block mass which is greater than the set threshold value to obtain a characteristic scale; c, comparing the obtained characteristic scale with a set threshold value, and computing a peripheral diffraction characteristic magnitude of the headlight block mass of which the characteristic scale is greater than the set threshold value; and d, judging a headlight with the diffraction characteristic being greater than the set threshold value to be as a far-beam light. In the far-beam light video detection method and system, the turn-on status of the headlight of an automobile can be recognized within 5-80 meters, rule breaking vehicles can be captured in real time, alarming is carried out in time, and an effective detection means is provided for traffic police enforcement. By adopting the method and the system, the occurrence of rule breaking actions is reduced, and the road driving safety is ensured.

The invention discloses a hybrid spread spectrum communication system based on low density parity code (LDPC) encoding and a method thereof. The problems of leakage capture, high leakage capture probability, slow convergence of a phase-locked loop and low decoding performance of the existing synchronous capture method are mainly solved. The system comprises a transmitting part and a receiving part, wherein the transmitting part is used for carrying out pretreatment on original information; the pretreatment data are subjected to frequency hopping treatment and transmitted after being modulated and filtered by a base band; the receiving part is used for obtaining a synchronization point position and a frequency offset value in the received signal through synchronous capture, and intercepting useful data to carry out de-hopping according to the synchronization point position; the base band demodulates and filters; the filtering data are subjected to frequency offset compensation according to the frequency offset value; the data after frequency offset compensation are subjected to dispreading and frequency offset rectification; the frequency offset rectification data are decoded and the decoding result is output. The hybrid spread spectrum communication system has the advantages of being strong in burst error resisting ability, high in real-time synchronization capture speed, high in capture accuracy, high in convergence speed of the phase-locked loop, and good in decoding performance, and can be applied to reliable communication under the condition of very low powder spectral density.

The invention provides a three-dimensional space positioning system based on infrared image recognition. The three-dimensional space positioning system based on the infrared image recognition is used for recognizing the three-dimensional space position of a target object and comprises a first infrared camera, a second infrared camera, a third infrared camera, an infrared laser device, a projection screen and a computer, wherein the image plane of the third infrared camera faces towards the direction of the projection screen, the image plane of the first infrared camera and the image plane of the second infrared camera face towards the direction of the target object, the optical axis of the first infrared camera and the optical axis of the second infrared camera are strictly perpendicular to the projection screen, the infrared laser device is arranged at the position of the target object and points to the position of the projection screen, and the computer is connected with the first infrared camera, the second infrared camera and the third infrared camera. The three-dimensional space positioning system based on the infrared image recognition has the advantages that the target object is identified according to the infrared laser device, positioning is carried out through the receiving of the infrared cameras, and thus the three-dimensional space positioning system based on the three-infrared-camera positioning technology is provided. Through the visualization operation carried out on complex data through the computer and a real-time interaction environment, vivid three-dimensional visual perception is achieved, and the real-time capture of motion is achieved.

The invention discloses a Kinect based field operation simulation method and a Kinect based field operation simulation system which are capable of well realizing real-time capture of field worker operation so as to meet requirements on optimization design of factors such as field operation process and operation environment in the manufacturing field. The system comprises a Kinect somatosensory device, a data input interface, a data processing device, a data output interface and a display device, wherein the Kinect somatosensory device is used for acquiring human body images, and connected with the data processing device through the data input interface; the data processing device is used for analyzing field operation by processing the acquired human body images, and connected with the display device through the data output interface; the display device is used for displaying actions of operators in an operation field. The method and the system have the advantages that real-time capture of the field worker operation can be well realized, so that the requirements on the optimization design of the factors such as the field operation process and operation environment in the manufacturing field can be met; applicability to the operation field is high, and working efficiency is improved beneficially.

The invention relates to a wearable system used for capturing upper limb movement information of a human body and belongs to the technical field of human-computer interaction equipment. The wearable system comprises a sensor, a central processor, a wireless transmission module and a display, wherein the sensor is used for acquiring the three-dimensional angular velocity, the-dimensional accelerated velocity and three-dimensional magnetic vectors of each joint of the upper limbs of the human body, the central processor is used for receiving the three-dimensional angular velocity, the three-dimensional accelerated velocity and the three-dimensional magnetic vectors of each joint of the upper limbs of the human body and calculating the postures, the velocity and the positions of the finger joints, the palms and the arms in real time, the wireless transmission module is used for sending the postures, the velocity and the positions of the finger joints, the palms and the arms to the display, and the display is used for receiving the the postures, the velocity and the positions of the finger joints, the palms and the arms and driving simulation models of the upper limbs of the human body in real time. The wearable system is high in adaptability, convenient to wear and capable of capturing the movement information of the arms, the palms and the fingers completely and fast in real time and remotely transmitting and visually displaying the information, and the wearable system can be applied to the fields of human-computer interaction, teleoperation, rehabilitation monitoring of the upper limbs and the like.

The invention relates to a marker-free three-dimensional real-time capture system for a performer. A method includes the steps that (1), room type collecting hardware system building: an allocation model of multi-view RGB-Depth cameras is provided through analysis of camera parameters, the performer is effectively covered with the viewing angle range of the multi-view cameras, and then a room type sealed collecting room is built; (2), overall situation registration is performed on the multi-view RGB-Depth cameras, and corresponding relations between cloud models of all points, in different coordinate systems, of the different RGB-Depth cameras are built through pairwise registration and overall optimization of the cameras; (3) real-time performance capturing. A Poisson surface rebuilding algorithm accelerated by a GPU is used for processing dense point clouds captured by the multi-view RGB-Depth cameras in real time and completing real-time rebuilding of a dynamic three-dimensional grid model sequence. Markers are not needed, and the system can capture and rebuild dynamic three-dimensional information of the performer in real time and build a corresponding dynamic three-dimensional geometrical model by using the low-cost RGB-Depth cameras.

The device comprises a memory signal capture logic unit, a data buffer unit, a high-speed data interface unit, an embedded processor unit, and configuring buffer unit. Wherein, the logic unit makes use of high-speed I / O, large-capacity RAM and embedded processor for memory interface and data transmission interface and data pre-processing. This invention can realize real-time and fast access information capture without change to original system hardware and much performance effect.

The invention discloses an eyeball motion analysis method and device and a storage medium. The eyeball motion analysis method comprises the steps of acquiring a real-time image taken by a camera shooting device, and extracting a real-time face image from the real-time image; inputting the real-time face image into a pre-trained eye average model, and recognizing n1 orbit feature points and n2 eyeball feature points representing an eye position in the real-time face image; determining an eye region according to the (n1+n2) feature points, and judging whether the eye region is a human eye regionor not by using a human eye classification model; if so, acquiring the motion direction and the motion distance of the eyeball in the real-time face image according to x, y coordinates of the n1 orbit feature points and the n2 eyeball feature points in the real-time face image. According to the invention, motion information of the eyeball in the real-time face image is calculated according to thecoordinates of the eye feature points, and analysis for the eye region and real-time capturing for eyeball motions are achieved.

The invention discloses a dry-type transformer partial discharge on-line monitoring device and a positioning method of the monitoring device, wherein a first ultrasonic transducer, a second ultrasonic transducer, a third ultrasonic transducer and a fourth ultrasonic transducer are respectively used for acquiring four ultrasonic signals in a partial discharge signal, and transmitting the ultrasonic signals to a signal processing unit; an ultrahigh frequency transducer is used for acquiring an ultrahigh frequency signal in the partial discharge signal, and transmitting the ultrahigh frequency signal to the signal processing unit; the signal processing unit is used for carrying out amplification and filtering processing on four ultrasonic signals and one ultrahigh frequency signal respectively, and transmitting the processed four ultrasonic signals and one ultrahigh frequency signal to a data acquisition card; the processed four ultrasonic signals and one ultrahigh frequency signal are respectively converted into four ultrasonic digital signals and one ultrahigh frequency digital signal and are stored up; after a trigger requirement is achieved, the four ultrasonic digital signals or the four ultrasonic digital signals and one ultrahigh frequency digital signal are transmitted to a computer; and the computer calculates so as to position a partial discharge position.

The invention relates to a control method and system for a daylight hothouse roller blind machine based on light and temperature coupling. The method comprises that a threshold of the illumination intensity is set according to the demanded illumination quantity of a hothouse plant and the growth phase of the plant, the illumination intensity and temperature of the outdoor environment as well as the temperature in the hothouse is detected, a central processor controls start of the roller blind machine in a light and temperature joint control logic algorithm, if the outdoor illumination intensity is greater than the set threshold, the light and temperature joint control logic requirement is met, the central processor emits an instruction to automatically control the roller blind machine, a central control chamber can monitor the environment factor, and multiple hothouses can be controlled manually via a 485 bus. The method and system support functions including illumination intensity sensing, real time monitoring, cluster control and automatic roller blind machine control, and are characterized by low cost, simple operation, wide application range, and safe operation.

The invention discloses a multi-signal input and multi-image composition device and method. The device comprises input ports, signal conversion modules, a signal matrix switching module, a controller, an editor with a user operation interface, a signal decoder, a multi-image information superposition module, and a monitor, wherein the monitor is provided with a plurality of image monitoring windows. The device and method provided by the invention have the advantages that multiple video signals are simultaneously input, video caption information corresponding to each video is edited through the editor, each image monitoring window of the monitor is simultaneously bound with the corresponding video and the video caption information corresponding to the video, and each video and the corresponding video caption information are finally simultaneously displayed in the corresponding image monitoring window of the monitor, so that a user can visually monitor video contents played in the corresponding image monitoring window through the corresponding video caption information in the monitor.

The present invention discloses a measuring system for the dynamic contact state of wheels and rails of a high-speed railway. The measuring system comprises a data acquisition system mounted on a vibration-damping frame, as well as a data processing system and a data display system mounted in an on-board control platform. The data acquisition system comprises encoding structural optical image acquisition units and an inertial measurement device; the vibration-damping frame is connected with the compartment bottom through a fixing device at the top of the vibration-damping frame and suspended between the center suspension and the axle box suspension of the frame of a bogie; the encoding structural optical image acquisition units directly face the left and right wheel-rail contact areas and form a surrounding structure; the data processing system is used for obtaining geometrical parameters of the wheel-rail contact through three-dimensional geometric reconstruction, characterization parameter identification and data interaction according to high-definition images captured by the encoding structural optical image acquisition units and data of the acceleration and the like measured by the inertial measurement device, to obtain a wheel-rail relationship spectrum; and the data display system is used for displaying the images, the data and the wheel-rail relationship spectrum through a human-computer interaction interface in real time. The measuring system for the dynamic contact state of the wheels and the rail of the high-speed railway can achieve real-time capture of the wheel-rail dynamic contact state.

The invention discloses a method, apparatus for analyzing lip motion and a storage medium. The method includes the following steps: acquiring a real-time image that is photographed by a camera apparatus, extracting one real-time face image from the real-time image; inputting the real-time face image to a lip average model that is well-trained in advance, identifying t lip feature points in the real-time face image that indicate the position of the lips; based on the t lip feature points, determining a lip region, inputting the lip region t a lip classification model that is well-trained in advance, determining whether the lip region is a man's lip region; and if the lip region is a man's lip region, based on the x and y coordinates of the t lip feature points in the real-time face image, calculating to obtain the moving direction and moving distance of the lips in the real-time face image. According to the invention, based on the coordinates of the lip feature points, the method hereincan calculate the moving information of the lips in the real-time face image, can analyze the lip region and performs real-time capturing of the lip motions.

The invention discloses an on-line time series prediction method based on a dynamic fuzzy cognitive map, and the method includes the following steps: forming information granules and mapping a time series to an activation level of the information granules to form nodes of a fuzzy cognitive map; optimizing the information granules on a parameter level of the fuzzy cognitive map, and determining theweights of the nodes of the fuzzy cognitive map; and dynamically adjusting the fuzzy cognitive map according to data coming in at a current moment, and utilizing the dynamically adjusted fuzzy cognitive map to perform time series prediction. The on-line time series prediction method based on a dynamic fuzzy cognitive map adjusts a clustering center and parameters according to the specific situation, realizes dynamic optimization, and enables a model to capture the change of data information in real time, thereby enabling the prediction to be more accurate.

The invention discloses a control method and device for light interacting with audio and electronic equipment. The method is applied to the electronic equipment and comprises the steps of obtaining audio output data from an audio channel; determining audio features of the audio according to the audio output data; and controlling the light of a component of the electronic equipment to make a corresponding response according to the audio features, thereby making the light matched with the change of the audio. According to the method, real-time capturing of an audio signal emitted from the electronic equipment can be achieved, flashing of the light response is achieved according to the accurate audio features corresponding to the audio signal, coordination of the light and the audio is achieved and the user experience when the electronic equipment is used is enhanced.

The invention relates to a method and system for detecting and calculating uwb anchor point coordinates. The method adopts uwb anchor points, a uwb label and a detector, and the label is positioned bythe detector through distance measurement. The method comprises the following steps that the detector moves indoors, obtains all anchor points which can be subjected to distance measurement currentlyat any position, and guides each anchor point to conduct distance measurement at the other anchor points under the condition that n anchor points exist in the current range; the anchor point 1 transmits a measured distance back to the detector; a topological structure and the coordinate position of all the anchor points in the current space are calculated through a three-point method and a leastsquare method after the detector obtains the distance between every two anchor points. According to the method for detecting and calculating the uwb anchor point coordinates, the positions of anchor points in a measurement area can be quickly captured in real time, and a topological structure diagram of all anchor points in the current area is established. Measurement is convenient, measurement errors are reduced, measurement efficiency and measurement precision are improved, labor intensity of measurement personnel is reduced, and measurement cost is reduced.

The invention discloses a high-interaction SSH honeypot implementation method which comprises the following steps: connecting a system SSH port, judging whether SSH service exists or not, and enteringthe next step if the SSH service exists; capturing an authenticated user name / password during password identity authentication by utilizing a logit function and an authctxt structure body in the OpenSSH; after the password is successfully authenticated, modifying related module codes by utilizing the characteristic that SSH service processes client data through a pipeline and a user processing interactive session module, so as to record the shell password; controlling the outflow flow of the honeypot system, including two processes of limiting an external data packet and inhibiting an external attack packet; and analyzing, processing and displaying the data captured by the honeypot system by utilizing a javaweb technology. According to the high-interaction SSH honeypot implementation method, the defects that a passive defense technology cannot be used for SSH attacks which are continuously updated and changed due to valleys, and medium and low interaction SSH honeypots are low in interaction degree, insufficient in decorativeness, easy to be broken and the like can be overcome, and the security defense capability for SSH services is improved.

The invention discloses an intelligent agent path tracking control method, which belongs to the field of path tracking control, and comprises the following steps of identifying a curved path section through which an intelligent agent needs to pass on a target path curve (comprising a path equation and a reference path point sequence) in a current control period, calculating a preview distance ld, positioning a reference path point which is ahead of the intelligent agent and is away from the intelligent agent by ld as a target reference path point, and calculating a deviation weight distance delta1, if deltal is smaller than lmin, the speed difference value deltavr is smaller than deltavrmax, and the rotation angle difference value deltadeltaf is smaller than deltadeltafmax, acquiring a control rotation angle amount delta2 through a model prediction control algorithm, otherwise, obtaining a control rotation angle amount delta1 by using a pure tracking algorithm, according to the transverse position deviation eld of the intelligent agent, calculating a rotation angle correction amount deltadelta, correcting the obtained control rotation angle amount to obtain a control rotation angle amount delta, and sending the control rotation angle amount delta to the intelligent agent to realize path tracking. The lmin, the deltavrmax and the deltadeltafmax are all threshold values. The intelligent agent can move on curve roads with different curvatures, and high-stability and high-precision path tracking is realized.

The invention discloses an intelligent detection method and system for the cotter pin defect of an iron contact network, and the method comprises the steps: firstly obtaining a data set composed of a sample containing the cotter pin defect of the high-speed rail contact network and a normal sample of the cotter pin of the high-speed rail contact network, and dividing the data set into a training set and a test set according to a proportion; then, a Pytorch deep learning framework is used, and a recognition network model is built; training the recognition network model through a model training system, and testing the trained recognition network model through a model testing system, so that the recognition network model can recognize the defects of the high-speed rail overhead line system cotter pin; and finally, calling a real-time high-speed rail overhead line system image, intercepting a sub-image containing an inclined cantilever and a structure below the inclined cantilever, performing identification through the identification network model, obtaining an identification result, and further capturing a high-speed rail overhead line system image containing cotter pin defects.

The invention provides a non-natural difunctional saccharide 9-AzSiaDAz shown as a formula I and / or a non-natural difunctional saccharide 9-AzSiaNAl shown as a formula II, and preparing methods and applications thereof. The non-natural difunctional saccharides 9-AzSiaDAz and the 9-AzSiaNAl can be adopted as probes and used for cell labeling. A single function group cannot achieve high-throughput and real-time capturing of interactions of saccharides and saccharide-binding proteins and cannot perform double-color imaging. Difunctional non-natural saccharide probes developed from the non-natural difunctional saccharides, which contain orthogonal reaction groups and photo-crosslinking groups, can crosslink glycoprotein in a covalent manner to the non-natural difunctional saccharides through UV irradiation without the need of modifying the protein and can purify the protein through affinity capture. The difunctional non-natural saccharide probes with the two different orthogonal reaction groups can perform double-color imaging by a two-step Click reaction.

The invention relates to a natural exposure experimental device, system and method for components under variable amplitude load. The natural exposure experimental device for components under variableamplitude load comprises a plurality of strip-shaped test pieces, two ground beams arranged in parallel, a loading water tank and a control device, wherein the plurality of test pieces are placed on the two ground beams, the distance between the two ground beams is adapted to the length of the test pieces, a digital display strain gauge and a displacement meter are arranged in the middle of the bottom of the test pieces, the loading water tank is disposed on the top of the test pieces, two parallel loading heads are arranged between the loading water tank and the test pieces, a liquid level sensor is arranged at the bottom of the inner side of the loading water tank, the water tank is provided with an inlet pipe and an outlet pipe, and the natural exposure experimental device further comprises a water storage device, a controller, a water supply pump, a drainage pump, a main inlet pipe and a main outlet pipe. The natural exposure experimental device for components under variable amplitude load provided by the invention can realize the natural exposure experiment of the components under the coupling / co-action of various environments and variable amplitude loads, and has good versatility and wide application range.

The invention discloses a structure fatigue / durability experiment system and method in a complex environment. The system comprises an environment simulation device, a loading device, a testing device, a ground anchor device and a control terminal, wherein the environment simulation device, the loading device and the testing device are all connected with the control terminal; the environment simulation device, the loading device and the testing device are all arranged on the ground anchor device; the environment simulation device comprises at least one test chamber, all the test chambers are connected in sequence, and a movable partition door is arranged between every two adjacent test chambers; each test chamber is provided with an independent environment simulation mechanism and a control mechanism, the environment simulation mechanism is connected with the control mechanism, and the control mechanism is connected with the control terminal. The environment fatigue / durability experiment of different full-scale structures and models under the coupling action of various complex environments and (random) loads can be realized, the universality is good, and the application range is wide.

The invention provides a dynamic intuitionistic fuzzy cognitive map construction method, a time sequence prediction method and a time sequence prediction system. The dynamic intuitionistic fuzzy cognitive map construction method comprises the following steps: clustering standardized time sequence data into nodes of an intuitionistic fuzzy cognitive map by utilizing fuzzy C-means clustering; training a weight matrix of the intuitionistic fuzzy cognitive map to obtain an initial intuitionistic fuzzy cognitive map; receiving new standardized time sequence data and inputting the new standardized time sequence data into the initial intuitionistic fuzzy cognitive map; adjusting the position of a clustering center of the intuitionistic fuzzy cognitive map by utilizing dynamic fuzzy C-means clustering to obtain a dynamic intuitionistic fuzzy cognitive map; in the process of adjusting the position of the cluster center of the intuitionistic fuzzy cognitive map, judging whether the data at the current moment has concept drift or not by utilizing drift detection if the data at the current moment successfully fall into an existing cluster and an error between a real value solved by utilizing the adjusted intuitionistic fuzzy cognitive map and a predicted value is greater than a preset error threshold value and if so, adjusting a weight matrix of the intuitionistic fuzzy cognitive map; otherwise, not changing the intuitionistic fuzzy cognitive map.

The invention relates to a technique for matched use of a tracking system and a complicated variable control system, and particularly to a high-precision high-stability photoelectric real-time tracking system and a method thereof. The system comprises an optical chamber module, an electronic chamber module, a control displaying system module and a power supply system module. The electron chamber module is connected with the optical chamber module and the control displaying system module. The power supply system module supplies electric energy to the control displaying system module, the electronic chamber module and the optical chamber module. The real-time tracking system aims at different carriers and different environments; the complicated variable control system and a high-stability platform base are utilized; through a gyro servo control system and a focal plane detector with high spatial resolution and high image sharpness, advantages of high precision and high stability are realized in an operation process. The high-precision high-stability photoelectric real-time tracking system can finish real-time monitoring on objects around a carrier. An automatic mode or a manual modecan be adopted for capturing, amplifying, locking and tracking the object. Furthermore high automation degree is realized.

The invention discloses a monitoring structure for supporting data capture of a port and a virtual link as well as a monitoring method of the monitoring structure. The monitoring structure for supporting data capture of the port and the virtual link comprises an ARINC66 protocol monitoring engine, a monitoring configuration parameter module, a second input port and a second output port, wherein the ARINC66 protocol monitoring engine is independent with an ARINC664 protocol exchange engine and has an exchange structure inside; the second input port is in charge of acquiring data from a first input port and a first output port of the ARINC664 protocol exchange engine, judging whether the data is captured according to the monitoring configuration parameter module, and submitting the data required to be captured to the exchange structure of the ARINC66 protocol monitoring engine; and the data required to be captured can be exchanged by the exchange structure and is sent from the second output port. According to the invention, mutual independence of the monitoring engine and the exchange engine is guaranteed.

The invention discloses a rural road flow monitoring intelligent management system based on the Internet-of-Things technology, and the system comprises: a flow monitoring module which is used for carrying out the snapshot collection of the pedestrian flow and traffic flow information on a rural road; an analysis processing module which is used for processing the information collected by the flow monitoring module; a counting module which is used for counting the data processed by the analysis processing module; a storage module which is used for storing the data recorded by the counting module, wherein the flow monitoring module comprises a monitoring device. According to the monitoring device, the probe of the monitoring device can be conveniently lowered, so that a worker can conveniently overhaul the probe, inconvenience and danger caused by climbing to a high place by means of a tool are avoided, dust attached to the surface of the probe can be swept away according to needs, the quality of a monitored picture is guaranteed, the probe can be conveniently disassembled and assembled, and therefore, great convenience is provided for maintenance personnel.

The invention relates to the technical field of monitoring, in particular to a snapshot method and device and a camera. The snapshot method comprises the following steps: after a predetermined snapshot position is determined, obtaining a position angle parameter and a multiplying power parameter corresponding to the predetermined snapshot position; obtaining a snapshot focus parameter of the camera according to the position angle parameter and the multiplying power parameter; adjusting the focus of the camera according to the snapshot focus parameter; and enabling the camera to perform image snapshot at the predetermined snapshot position. According to the invention, the snapshot focus during snapshot of the camera can be directly set, the time for searching the focus position is reduced,the focusing time consumption is short, snapshot can be carried out in real time during monitoring, the focusing effect is good, and the fuzzy state of a shot picture is reduced to a certain extent.

The invention discloses an in-service hydraulic concrete structure internal loss monitoring and early warning system and method. The system comprises a remote workstation, a field workstation and an acquisition early warning system. The acquisition early warning system and the field workstation are communicated in a wireless mode, and the field workstation and the remote workstation are communicated in a wired mode or a wireless mode; the acquisition early warning system is arranged on a monitored hydraulic concrete structure body. According to the provided on-line monitoring and early warningsystem for internal loss of an in-service large-volume hydraulic concrete structure, a wireless energy supply and wireless communication mode is adopted between the acquisition early warning unit andthe field workstation, so that the difficulty of on-site layout and later-period pipe transportation is reduced; acoustic emission sensors are arranged in a key monitoring area in a honeycomb array mode, acoustic emission signals accompanied in the damage process of the hydraulic concrete structure body are comprehensively collected, real-time capture of the internal damage of the in-service large-size hydraulic concrete structure can be achieved, and a damage rapid and accurate positioning method is provided.