193 results about "Active detection" patented technology

The invention discloses an oil and gas storage and transportation oil leakage detection system based on multi-source data analysis, and relates to the technical field of oil leakage detection. An original sensing data set is constructed, the original sensing data set is preprocessed, an alignment data set is generated, a pipeline digital twin baseline model in a leakage-free state is established, and a baseline feature set is generated; according to the method, micro-disturbance active detection and dynamic compliance inversion are implemented, an active feature set is generated, the diffusion trend of potential leakage liquid and an earth surface exposure time window are predicted, earth surface evidence features are generated, multi-modal features are fused, and a leakage event and a response scheme are output. A diffusion closed loop from the underground to the earth surface is realized through multiphase seepage and remote sensing verification, the detection precision is improved by utilizing adaptive fusion and dynamic threshold control, self-learning updating is realized through model recharge, and the method has the advantages of high real-time performance, strong anti-interference and adaptive optimization.

The invention discloses an on-line insulation monitoring system and method for a national railway vehicle, and relates to the technical field of on-line insulation monitoring, and the system comprises a detection signal injection module which is used for injecting a preset broadband active detection signal, and synchronously collecting a response signal set transmitted through a vehicle body grounding network; the fingerprint feature construction module is used for constructing network fingerprint features in a current insulation state; the spatial distribution atlas acquisition module is used for carrying out inversion calculation to obtain an admittance spatial distribution atlas of the whole vehicle; and the insulation abnormal area identification module is used for identifying an insulation abnormal area. According to the invention, the technical problems of long troubleshooting time and poor accuracy caused by incapability of online real-time monitoring of the insulation state of the vehicle body grounding network of the national railway vehicle and low abnormal area positioning precision in the prior art are solved, and online monitoring of the insulation state of the vehicle body grounding network of the national railway vehicle and accurate positioning of the abnormal area are realized. And the efficiency and the accuracy of insulation fault checking are improved.

The invention belongs to the technical field of environment monitoring, and discloses an underground water environment monitoring system, which comprises a monitoring well body; the packers can be remotely controlled and are arranged in the depth direction of the monitoring well body; the optical fiber array can invert the seepage velocity field of the stratum around the well by applying controlled thermal pulse and monitoring temperature response; the robot flying shuttle can move in the well, and an in-situ chemical analysis module or a geophysical imaging module can be carried on the robot flying shuttle; the artificial intelligence model runs on the remote cloud platform; the artificial intelligence model can fuse multi-source data, takes a seepage field obtained by active detection and a stratum structure obtained by imaging as physical constraints, and can autonomously dispatch a robot shuttle to execute minute-level in-situ chemical diagnosis or scan inter-well strata. According to the invention, the leap from passive observation to active intelligent exploration is realized, and the monitoring precision and timeliness are significantly improved.

The invention belongs to the technical field of data processing, and discloses an active intelligent operation and maintenance monitoring method for a data center, which comprises the following steps: step 1, component modeling and topology configuration; 2, carrying out distributed health detection and data acquisition; 3, performing real-time health assessment and anomaly detection; 4, performing intelligent alarm and root cause analysis; 5, unified operation and maintenance and closed-loop control are carried out; and step 6, dynamically optimizing the intelligent operation and maintenance strategy. According to the method, a monitoring object and a dependency relationship are clarified through component modeling and topological configuration, and specific scenes, such as multi-mode acquisition, active detection, index pulling, log analysis, coverage message queue theme accumulation and database connection pool exhaustion, of distributed health detection are combined. The quantitative health score is calculated based on the preset scoring model, and by combining with the dynamic baseline learned by the ARIMA or LSTM algorithm, the module abnormity can be actively detected in different periods and weekly updating, and the problems of fault discovery lagging and incomplete monitoring coverage are solved.

The invention relates to the technical field of robot attitude balance control, and provides a robot attitude balance control method and system. Before the feet of the robot make contact with the supporting face or at the initial stage of contact, preset micro-force excitation is actively applied to the supporting face for detection, and mechanical response information and foot displacement information between the feet and the supporting face are collected in real time; based on the information, the system can estimate the local physical characteristics of the supporting surface in real time, and dynamically control and adjust the balance control strategy of the robot according to the estimated local physical characteristics. Through active detection and foresight adjustment, the characteristic change of the supporting surface can be identified and adapted before or at the initial stage of instability, so that the control conflict and vicious circle possibly brought by passive compensation are avoided.

The invention relates to the field of printing industry automation, and discloses a printed matter quality intelligent detection and data tracing system. Comprising a multi-modal data synchronous acquisition and preprocessing module for establishing working condition parameter and image signal space-time mapping, a physical constraint dynamic reference generation module for generating a controlled reference image by using a conditional generative adversarial network, and a differential abnormal flow analysis module for extracting abnormal signal space-time evolution characteristics. The knowledge-based causal inference module is used for carrying out fault attribution in combination with an equipment physical fingerprint database; the disturbance injection-based adaptive causal calibration module is used for executing active detection in a security envelope; and the knowledge graph self-evolution module is used for updating a model based on verification data. Real-time physical process parameters are fused to a reference image generation process, dynamic characteristics are extracted by using differential abnormal flow, and fault attribution is carried out in combination with an equipment physical fingerprint database, so that accurate tracing of physical root causes of printing defects and closed-loop adaptive learning of a diagnosis model are realized.

The invention discloses a photovoltaic buried cable fault positioning system based on a graph neural network, and the system comprises a multi-source signal collection module which is used for collecting electromagnetic response characteristics, and generating a multi-source signal sample set; the topological relation construction module is used for forming weighted directed topological relation data; the frequency domain mapping and fusion module is used for forming frequency domain-space joint feature input; the frequency domain self-evolution graph neural model module is used for executing feature propagation and aggregation of nodes and edges and outputting fault probability and uncertainty results; the space-time active detection module is used for selecting a cable section in an area with the maximum potential energy as an active detection target to form a self-tuning active detection closed loop; and the multi-source constraint correction module is used for outputting the type, the position and the confidence degree result of the buried cable fault. According to the invention, through the frequency domain self-evolution graph nervous system, accurate identification and positioning of the photovoltaic buried cable fault are realized.

The invention relates to the technical field of industrial automatic detection, and discloses an industrial product surface defect automatic detection system based on computer vision, which comprises a dynamically controllable multi-mode optical imaging sub-module, a hypothesis driven deep fusion and verification sub-module and a central control and scheduling sub-module, the hypothesis-driven deep fusion and verification sub-module is used for analyzing the image sequence and outputting a classification result and confidence data, and when the confidence data is lower than a preset confidence threshold value, the hypothesis-driven deep fusion and verification sub-module generates a new optical parameter vector and sends the new optical parameter vector to the image sequence; and the central control and scheduling sub-module controls the dynamically-adjustable multi-mode optical imaging sub-module to acquire supplementary image data according to the new optical parameter vector, updates the image sequence, and executes the process in a reciprocating manner until the confidence data is not lower than a preset confidence threshold. Through a closed-loop mechanism of active detection and iterative verification, on-demand asking of information is realized, and the detection accuracy is improved.

The invention provides a computer system fault detection method and system based on artificial intelligence, and relates to the technical field of intelligent incineration control, and the method comprises the steps: collecting multi-modal operation data, generating symptom representation, carrying out uncertainty evaluation and causal back-stepping based on a causal generation model, and obtaining a candidate root cause preliminary screening result. Comparing similar instances to form a contrast track, and combining a service target and a resource state to determine a security constraint and generate a probe set. And an optimal probe is selected through causal reduction effect sorting, active detection operation is executed, candidate root causes are subjected to posterior scoring and sorting, and high-confidence-coefficient fault positioning and verification are realized. According to the method, the problems of weak cross-environment generalization, unrecognizable perturbation effect, difficulty in safe optimization of active detection, insufficient causal interpretation and uncontrollable cost in the prior art are solved.

The embodiment of the present application provides a kind of acquisition method and device of reference signal information, method includes: detecting the reference signal sent by first system equipment, obtains reference signal information;The reference signal information is sent to the second system network side equipment of terminal access;Wherein, the reference signal can be used for the perception measurement of second system.By terminal active detection of the reference signal of first system, reference signal information is obtained, and the reference signal information of first system is sent to the second system network side equipment of terminal access, for the perception measurement of second system, avoid the reference signal of the second system network side equipment of terminal access when reaching terminal weak, resulting in the defect that the accuracy of perception measurement result is lower, effectively improve the accuracy of perception measurement result, reduce the wireless resource spent by the second system network side equipment of terminal access to send perception signal.

The invention provides a puncture guide wire with foresight detection and penetration functions and an intelligent intervention system, and belongs to the technical field of medical minimally invasive intervention instruments. The energy conversion assembly is innovatively integrated at the head end of the puncture guide wire, and the dual functions of A-type ultrasonic foresight detection and ablation are achieved through electric or optical path driving. The system supports two implementation modes: in an electroacoustic mode, a piezoelectric micro-electro-mechanical system is used for realizing ultrasonic transceiving and ablation; in the opto-acoustic mode, ultrasonic waves are generated by utilizing the opto-acoustic effect of the optical fiber, echoes are detected by utilizing optical interference, and ablation is performed by utilizing high-energy laser or ultrasonic waves. According to the invention, blood vessel, heart and occlusion lesions are identified based on a waveform fingerprint algorithm of time domain echoes, and a high-energy mode can be dynamically switched to assist in penetrating tissues. The problems that in an existing minimally invasive interventional operation, in-vitro image guiding precision is insufficient, a traditional IVUS / ICE catheter is too large in size and high in cost, and a traditional guide wire lacks active detection and auxiliary penetrating capacity when facing complex lesions are solved.

The invention provides a low-altitude aircraft-oriented air safety conflict early warning method and system, and the method comprises the steps: respectively detecting the signals of all low-altitude aircrafts in a region based on an active detection network and a passive sensing network, and obtaining first detection information and second detection information; performing matching verification on the first detection information of the same low-altitude aircraft based on the second detection information of the same low-altitude aircraft to obtain detection information after matching verification, and calculating position change tracks of any two low-altitude aircrafts within a preset time interval based on the detection information after matching verification of each low-altitude aircraft; performing intersection point judgment based on the position change trajectory to obtain a trajectory intersection point judgment result between any two low-altitude aircrafts; if the track intersection point exists in the track intersection point judgment result, sending out a leading air safety conflict early warning signal; and if the track intersection does not exist in the track intersection judgment result, not sending out the leading air safety conflict early warning signal. According to the invention, the reliability and comprehensiveness of low-altitude leader safety management are improved.

The invention discloses a photovoltaic equipment protocol adaptive analysis method, which comprises the following steps: acquiring an original message sample set and a collection context, and generating a preprocessing message sequence and an environment side reference sequence; based on the preprocessed message sequence and the environment side reference sequence, grammar-physical joint satisfiability analysis is executed, and a first version of analysis template and a satisfiability residual error are generated; based on the first version analysis template and the satisfiability residual error, active detection based on a variation spectrum is executed, and a revised version analysis template is obtained; and acquiring an online collection stream, analyzing the online collection stream by applying the revision analysis template, and generating unified report data. According to the method, semantics of unknown protocols can be automatically reversed, protocol variation can be actively adapted, and efficient and robust data acquisition is realized.

The invention provides an abnormal parcel active detection device and a control method, and belongs to the technical field of abnormal parcel detection, and the abnormal parcel active detection device comprises a multi-view RGB-D collection module which is used for collecting a synchronous RGB image and a depth image of a parcel in real time; the camera calibration and alignment module is used for calibrating the multi-view RGB-D acquisition module; the static sensing module is used for performing instance segmentation and point cloud three-dimensional reconstruction on the acquired image data, and extracting static geometric features of the parcels; the dynamic sensing module is used for carrying out cross-frame target tracking and video action recognition on a package and extracting a package dynamic trajectory feature and abnormal dynamic information; the multi-modal space-time fusion classification module is used for fusing the static geometric features, the dynamic track features and the abnormal dynamic information and outputting a comprehensive abnormal part judgment result; dynamic abnormal behaviors such as jumping, rolling and rotation which are difficult to capture by a traditional single-mode detection method can be effectively identified, and the probability of missing detection and false detection is reduced.

The invention belongs to the technical field of nondestructive testing of concrete structures, and relates to an urban underground comprehensive pipe gallery concrete engineering quality evaluation method which comprises the following steps: acquiring an original acoustic emission signal and performing structured processing to generate a structured acoustic emission event data object containing multi-dimensional feature information; carrying out feature correction and verification on the data object in combination with the environment data, and generating a focusing scanning instruction containing a target three-dimensional coordinate and a risk confidence coefficient; generating a parameterized adaptive focusing scanning configuration packet through physical parameter reverse mapping based on energy spectrum characteristics, driving a phased array ultrasonic system to perform targeted imaging on a target area and extracting acoustic image characteristics of defects; and finally, comparing the correlation between the data object and the image features, executing closed-loop verification, and adaptively updating discrimination parameters for risk determination. The technical problems of insufficient evaluation accuracy and verification lag caused by mutual separation of passive monitoring and active detection in the prior art are solved.

The invention relates to a rapid scanning type laser active detection system based on laser angle on-line control, and the system comprises an adjustable beam expanding optical unit which can continuously adjust the beam expanding multiplying power on line through position closed-loop control; the scanning detection execution unit can perform large-range search and can compensate image motion caused by carrier motion and continuous scanning, and a variable-speed spiral scanning mode with high probability of finding a target is adopted as a scanning mode; the off-axis beam expanding unit is used for further compressing a laser divergence angle; the photoelectric imaging system can splice scanned images on line, so that the scanning process is clearer and more visual; and the time sequence control unit assists in image motion compensation control. The scanning process can be rapidly completed, imaging is clear in the scanning process, and the scanning result can be directly presented.

The application provides a communication feature model driven relay protection device automatic test method and system, comprising the following steps: 1. Through active detection and response analysis, the communication protocol type, message format and function code mapping relationship of the relay protection device are identified, and a device communication feature model is constructed; 2. Based on the device communication feature model, test cases covering function verification, abnormal processing and boundary conditions are dynamically generated, and automatic mapping of the test cases and the device and execution sequence optimization are completed. The technical scheme can solve the problems of relay protection device test dependence on manual configuration, low efficiency and poor adaptability.

The invention relates to the technical field of metal pressure processing control, and discloses a rolling system for titanium alloy rod and wire composite production, which comprises a basic rolling unit, a rolling unit and a control unit, the signal synchronous acquisition module is used for acquiring the pressure and displacement of the hydraulic cylinder; the feature extraction and state arbitration module is used for judging a steady-state interval or an unsteady-state interval; the rheological impedance analysis module is used for resolving an instantaneous plastic rheological modulus in an unsteady state interval; high-frequency excitation is actively injected into a steady-state blind area through the micro-disturbance active detection unit, the steady-state rheological modulus is inversed through phase-locked demodulation logic, a sensing blind area caused by natural fluctuation deficiency of a traditional control system in an extremely steady state is avoided, the stability of the system is improved, the stability of the system is improved, and the stability of the system is improved. Full-time-domain accurate matching of rheological properties of the titanium alloy material is achieved, and under the condition that a heat compensation device is not needed in the whole line, the rolling problem of 5.0 mm extremely-small-specification wires and large-coil heavy coiled materials is solved.

This application provides a device and method for processing spatial environmental noise in electronic devices. The device includes: a communication antenna for receiving communication signals and spatial environmental noise; a detection antenna for real-time detection of the spatial environmental noise; a switching network connecting the signal paths of the communication antenna and the detection antenna respectively, for switching the device's operating mode; a signal processing module connected to the signal path of the detection antenna for amplifying, attenuating, and phase-shifting the detected noise signal; a coupler whose through port is connected to the signal path of the communication antenna, its coupling port is connected to the signal path of the detection antenna, and its output is connected to a radio frequency system; and a control module for adjusting the attenuation and phase shift of the signal processing module according to the noise signal parameters received by the communication antenna and the detection antenna, so that the two noise signals are superimposed in antiphase in the coupler. This application improves the receiving performance of wireless communication devices through active detection and cancellation.

The invention relates to the technical field of Internet of Things communication, and particularly provides an intelligent analysis method for a power terminal protocol, which comprises the following steps of: inputting communication flow data into a detection model under the condition that a feature extraction model fails to extract semantic features of the communication flow data to be analyzed to obtain a corresponding active detection message; under the condition of security verification, sending the active detection message to a terminal device of communication flow data, obtaining physical response data, and comparing the physical response data with a preset physical semantic mapping relationship to determine a corresponding semantic feature; and taking the semantic features as analysis results of the communication flow data under the condition that verification of the semantic features is passed through a simulation operation mode, updating historical communication data, and carrying out intensified training on the detection model. The technical problem that effective analysis is often difficult to realize during semantic analysis due to the fact that a frame structure of a non-standard power terminal protocol is different from a frame structure of a standard terminal protocol in the prior art is solved.

This invention provides an automatic calibration and adaptive autonomous operation method for AGVs. Applied to the field of industrial mobile robot technology, the method includes: An AGV responds to a scheduling command and arrives in the vicinity of a workstation; identifies the workstation type based on environmental perception data and calls a workstation template matching the workstation type; controls the AGV to perform active detection actions based on the active detection strategy in the workstation template, collects multiple frames of observation data, and constructs a pose solution model based on the multi-frame observation data and the observable constraint set in the workstation template; calculates the docking pose and pose confidence by minimizing the geometric residual of the pose solution model; determines the current operation status based on the docking pose and the current environmental perception data; and determines an operation control strategy based on the current operation status and the pose confidence. This improves the efficiency of AGV adaptive autonomous operation.

The invention discloses a multi-network integration control method and system based on network data feature recognition. According to the scheme, the method comprises the steps that an embedded Linux system is loaded through a multi-core embedded hardware platform, a switch chip driver is initialized, a VLAN is divided, and a configuration management core kernel module is established to serve as a control center; extracting a port, a protocol type and a connection state of the data packet to construct a feature vector, and distributing a service mark for the data packet through a multi-stage matching engine matching rule; querying a dynamic routing strategy table by taking the service mark as a main key, generating a forwarding parameter and synchronizing the forwarding parameter to a kernel routing cache and a physical switching chip; network state data are collected through Netlink, SNMP and active detection multiple channels, and event response is triggered after fusion analysis; and a routing strategy is dynamically optimized in combination with a strategy rollback mechanism, so that the stability of adaptive adjustment is ensured. According to the invention, the flow control precision and the adaptive capability of the multi-network fusion scene are improved.

This invention relates to the field of geological hazard analysis technology, and particularly to a geological hazard early warning method based on active detection and spectral response variation. The method includes: deploying active signal excitation devices and signal receiving sensors in the monitoring area to apply active detection signals to the geological body and collect response signals; filtering and adaptive time window segmentation of the response signals to obtain stable-period spectral data; establishing a benchmark spectral model through Fourier transform and phase spectrum analysis; periodically transmitting active signals and collecting real-time responses, calculating real-time spectral characteristic parameters, and comparing them with the benchmark spectral model to obtain spectral variability; determining an early warning threshold using a decision tree model based on historical monitoring data; and calculating the geological hazard risk level and outputting early warning information when the real-time spectral variability exceeds the threshold, combined with environmental variables.

The invention discloses an active network security defense method, device and equipment, and the method comprises the steps: collecting multi-mode security metadata, and carrying out the preprocessing of the multi-mode security metadata, and obtaining standardized data; constructing a heterogeneous relation graph based on the standardized data; inputting the heterogeneous relation graph into a space-time fusion model for space correlation analysis and time sequence analysis to obtain a dynamic threat probability of a corresponding target security entity; determining a risk level according to the dynamic threat probability, and selecting a target security policy from a preset policy template library based on the risk level; and issuing the target security policy to a corresponding network device or terminal device for execution, collecting feedback information after the execution of the target security policy, and performing adaptive optimization on the detection threshold and policy parameters of the space-time fusion model according to the feedback information. According to the invention, active detection of network threats can be realized, the risk of false alarm and missing alarm is effectively reduced, and the accuracy of defense actions is improved.

The invention relates to the technical field of radar guidance, and discloses a radar infrared composite guidance device, which comprises hardware and software, and is characterized in that the hardware comprises an active detection radar module which adopts a superheterodyne structure full-coherent system design and mainly comprises an antenna assembly, an active detection microwave assembly and an active signal processor; the reconnaissance interference radar module realizes passive detection reconnaissance and interference countermeasure functions and mainly comprises a reconnaissance interference antenna, an interference TR and power amplifier, a reconnaissance interference microwave component and a signal acquisition and processing module; the thermal infrared detection module is mainly used for realizing acquisition of infrared images and target identification of the images; the software composition comprises active detection signal processing and reconnaissance interference integrated processing. According to the invention, the active detection radar, the passive detection radar, the interference module and the thermal infrared camera are subjected to integrated fusion design, the advantages of all means are fully played, and the target searching, finding and locking capability in a complex environment is improved, so that the application requirements in different environments can be met.

This invention provides a battery swapping device, comprising a battery swapping platform and a horizontal moving mechanism. The battery swapping platform carries a battery pack, and the horizontal moving mechanism drives the battery swapping platform and the battery pack to move. The battery swapping device also includes two first positioning sensors, both disposed on the battery swapping platform with their detection ends facing upwards vertically. These two first positioning sensors detect whether the battery pack is correctly positioned on the battery swapping platform. This battery swapping device can determine the correct orientation of the battery pack relative to the battery swapping platform based on the positioning signals generated by the two first positioning sensors, achieving active detection of the battery pack's orientation relative to the platform and avoiding equipment damage caused by incorrect battery pack installation.

The invention discloses a video call forgery detection method based on a high-frequency sound signal, and the method comprises the steps: enabling a terminal device to actively transmit a high-frequency sound signal which is imperceptible to human ears in a video call process, and embedding a random sequence code in the high-frequency sound signal; the method comprises the following steps: synchronously acquiring an audio signal and a video signal of a video call, verifying a random sequence carried in the audio, extracting a human body motion feature of a target user reflected by high-frequency sound response, and extracting a corresponding visual motion feature from a video picture; and judging whether the video call is a real-time real call or not by analyzing the time sequence consistency between the acoustic motion feature and the visual motion feature. According to the method, a high-frequency sound active detection mechanism of random sequence coding and cross-modal motion consistency check are utilized, and playback and synthesis class forgery in a video call are defended from the physical level. The system can be deployed in terminal equipment such as a computer, a smart phone and the like with a loudspeaker, a microphone and a camera.

The invention relates to the technical field of equipment health management, and discloses a vibration and cavitation online monitoring and health management system for a power plant pump group, which comprises a distributed sensor network, an active excitation source and a data acquisition and synchronization unit, the central processing server is provided with a physical perception and system calibration module, a fault event space-time reconstruction module, a dynamic causal atlas and root cause analysis module and a closed-loop health management and active detection module. A physical event is accurately reconstructed by using a time reversal technology based on a Green function database, a physical anchoring constraint is introduced to combine a physical model and a data driving method to construct a high-confidence dynamic causal map, and a prediction-detection-verification-update closed-loop active health management process is executed. The problems that a traditional monitoring technology is low in fault traceability precision, root cause analysis is prone to being interfered by false correlation, and a monitoring mode is passive are solved, and the accuracy, reliability and initiative of equipment health management are remarkably improved.

The invention relates to the technical field of refrigerating system intelligent control and energy conservation, in particular to a refrigerating system energy-saving control method and system based on digital twinning, and the method comprises the steps: multi-dimensional perception and working condition recognition: collecting running state data and external environment data of a refrigerating system; cleaning the operation state data and the external environment data; whether the environment temperature change rate or the tail end heat load change rate exceeds a conventional fluctuation threshold value or not is judged; if yes, generating a working condition abrupt change trigger signal; active detection type control decision: outputting characteristic parameters of perturbation excitation signals; real-time identification of degradation characteristics: calculating degradation parameters representing the physical health state of the equipment; performing dynamic digital twinborn evolution, calculating an operation parameter combination with the highest energy efficiency ratio, and feeding back the operation parameter combination to the active detection type control decision step; according to the method, online dynamic extraction of the health state of the equipment is realized, and the problem that a traditional static model is not accurate due to the fact that physical degradation of the equipment cannot be sensed is solved.

The invention aims to provide a malicious domain name identification system and method based on DNS collision. The system comprises a data acquisition module, an active domain name resolution module, a data cleaning and sorting module, a preliminary matching and screening module, an AI research and judgment module and a storage module. According to the system and the method, active detection and high-confidence verification are organically combined, a brand-new malicious domain name recognition and tracing normal form is constructed, advanced persistent threats which are most hidden and most cunning can be effectively found and traced, and the important blank of a system in the prior art is filled.