1644 results about "Signal interference" patented technology

The invention discloses a low-altitude unmanned aerial vehicle trajectory tracking and monitoring method based on a 5G-A communication sensing integrated base station, and relates to the technical field of low-altitude traffic management and communication sensing fusion, and the method comprises the steps: firstly collecting multi-source data such as a communication sensing fusion signal, environment interference and unmanned aerial vehicle attributes, and carrying out the alignment and packaging of a unified timestamp and a coordinate system into a synchronous data frame; then, deep fusion and anti-interference processing are carried out on the data frames, noise is filtered out, and pure fusion data is generated; and furthermore, real-time track calculation and motion trend prediction are carried out on pure data by utilizing multi-base-station cooperative calculation and prediction. Based on this, through a multi-target feature recognition and clustering separation mechanism, independent individual trajectories are accurately stripped from a complex mixed data stream, and compliance verification and anomaly judgment are performed on the trajectories in combination with an airspace rule base. In this way, the problems of signal interference and multi-target aliasing in a complex environment can be effectively solved, and therefore high-precision global tracking of the low-altitude unmanned aerial vehicle and real-time monitoring of abnormal behaviors are achieved.

The invention provides a signal shielding method based on deep reinforcement learning, and belongs to the technical field of artificial intelligence and communication crossing. The method comprises the steps that S1, a large number of historical wireless communication signals are acquired to construct a data set to train a signal interference strategy generation model; s2, deploying the signal interference strategy generation model to a signal shielding device; s3, verifying and analyzing the signal shielding instruction to obtain a shielding parameter, collecting a real-time wireless communication signal, and inputting the real-time wireless communication signal and the shielding parameter into a deployed signal interference strategy generation model to obtain a real-time signal interference strategy; and S4, the signal shielding device modulates the real-time interference signal based on the real-time signal interference strategy, and the power amplifier performs power amplification on the real-time interference signal and then transmits the real-time interference signal to the outside through the radio frequency antenna so as to perform signal shielding. The method has the advantages that the accuracy, the real-time performance and the expansibility of signal shielding are greatly improved, and the power consumption of signal shielding is reduced.

The invention relates to an unmanned aerial vehicle detection countering method, which comprises the following steps of: deploying a multi-dimensional sensing network to carry out full-band instantaneous scanning, synchronously acquiring noise characteristics of radio signals, material characteristics of a terahertz wave band and Doppler effect characteristics, mapping to a virtual twinborn body, reconstructing physical parameters, a communication protocol and a behavior mode of a target unmanned aerial vehicle, performing depth comparison by combining a disguise sample library generated by the antagonism generation network, and generating a holographic target file containing a three-dimensional motion vector, an energy feature and a potential threat intention; a target quantum encryption communication link is interfered through a quantum entanglement signal, a controllable plasma cloud cluster is generated, navigation and image transmission signals of the controllable plasma cloud cluster are selectively attenuated, the controllability of the target is judged, and an uncontrollable target is repelled through coded sound waves; and sending a control instruction containing a biological heuristic obstacle avoidance algorithm in stages, and guiding the control instruction to an intelligent recovery cabin. According to the invention, accurate detection, intelligent identification, safe countering and reliable takeover of the unmanned aerial vehicle are realized, and the airspace safety guarantee capability is improved.

The invention relates to the technical field of lithium ion battery testing, and discloses a lithium ion battery life loss evaluation method and device, a medium and equipment, and the method comprises the following steps: S1, collecting multi-modal dynamic data of a lithium ion battery in a charge-discharge cycle process; s2, performing time-frequency domain conjoint analysis on the multi-modal dynamic data, and extracting a battery aging sensitive feature set; s3, constructing a multi-scale coupling model of battery life loss; by constructing a multi-modal data fusion mechanism and a dynamic feature extraction system, during lithium ion battery life loss evaluation, change trends of electrochemical impedance spectroscopy and heat distribution key parameters are captured in real time based on time-frequency domain conjoint analysis, sensor signal distortion and drift problems can be identified, the extraction precision of aging sensitive features is improved, and the accuracy of lithium ion battery life loss evaluation is improved. The problem of characteristic errors caused by signal interference in traditional evaluation is solved, and the accuracy and reliability of life loss evaluation are ensured.

The invention relates to the technical field of artificial intelligence, in particular to an agent integration optimization method and system based on multi-modal interaction, and the method comprises the following steps: obtaining a time point statistical frequency difference value of a multi-modal event, comparing a trend with offset, screening out a non-linkage event, extracting a semantic comparison context, positioning a modal in-situ, and obtaining a multi-modal event time point statistical frequency difference value; and calculating the priority of a response offset sorting channel, judging interlaced and densely set interference marks, screening fast and undisturbed channel rebinding content, and obtaining an integrated optimization scheme. According to the method, abnormal modal recognition is achieved through modal frequency fluctuation and response offset trend conjoint analysis, semantic fragments are combined with context continuity and task density constraints to improve screening precision, channel response delay difference sorting is clear in priority relation, and a signal interference area is positioned through amplitude mutation and time intersection nodes. And channel path elimination and content remapping guarantee response smoothness, accurate matching between expression intention and channel response is realized, and modal collaboration consistency and task execution stability are enhanced.

The invention provides a regional interference signal detection method and device based on a Beidou router, and the method comprises the steps: obtaining reference broadcast ephemeris data of a network platform and local ephemeris data received by the Beidou router, carrying out the data integrity calculation, and judging whether the local ephemeris data are missing or not; performing same-epoch data comparison on the reference broadcast ephemeris data and the local ephemeris data, and judging whether the local ephemeris data has deception signals or not; calculating a visible satellite integrity rate in a fixed time window based on the observation data of the Beidou router, and judging whether interference signals exist in the observation data or not; analyzing by utilizing the cycle slip ratio and the carrier-to-noise ratio of the observation data, and judging whether interference signals exist in the observation data or not; under the condition that local ephemeris data do not have missing and deception signals and the observation data do not have interference, whether the observation data have the deception signals or not is judged based on pseudo-range single-point positioning and inter-epoch carrier phase difference velocity measurement, and the method can improve the reliability of Beidou signal interference detection.

The invention discloses a signal sampling method for a multi-channel signal converter, and the method comprises the steps: carrying out the synchronous and parallel sampling of an analog signal source according to a multi-channel signal collection module, so as to obtain multi-channel original signal sequence data; performing inter-channel time delay calibration and amplitude normalization processing on the multichannel original signal sequence data to obtain a calibrated multichannel signal data set; the invention relates to the technical field of signal processing. According to the signal sampling method for the multi-channel signal converter, the multi-channel signal converter improves the data consistency and accuracy through the technologies of synchronous sampling, time delay calibration, amplitude normalization and the like, meanwhile, precision adjustment of self-adaptive filtering, dynamic threshold segmentation and entropy driving is adopted, signal interference and abnormal data are reduced, and the signal quality is improved. The non-uniform resampling and compression technology is adopted to optimize the storage and transmission efficiency, key data is ensured to be transmitted preferentially, hardware is accelerated through an FPGA, and the real-time performance and the processing capacity of the system are improved.

The invention discloses an electric power utilization anomaly detection and early warning method based on the Internet of Things, which relates to the technical field of electric power utilization and comprises the following steps of: performing fitting comparison on identified inductive current fluctuation and a behavior residual error template generated based on a real load behavior; analyzing a response time window, a fluctuation amplitude track and a behavior continuity characteristic, and judging whether the inductive current fluctuation generated by a non-target loop belongs to a real load change behavior or not under the condition that a plurality of loops are grounded together according to the response time window, the fluctuation amplitude track and the behavior continuity characteristic; and combining the behavior residual error fitting score, the phase consistency value and the frequency response stability value to generate a signal credibility judgment sequence, and carrying out credibility grade division on the inductive current fluctuation. According to the method, the problem of false fluctuation misjudgment caused by inductive signal interference under the condition that multiple loops share the grounding condition is solved, accurate identification and dynamic regulation and control on the authenticity of inductive current fluctuation are achieved, and therefore the accuracy and reliability of power utilization anomaly detection and early warning are improved.

The invention relates to the technical field of unmanned aerial vehicles, in particular to an unmanned aerial vehicle detection tracking device, method and equipment, which comprises a data sensing unit, a calculation unit, a mechanical and power supply unit, a communication and storage unit and a countering execution unit, and is characterized in that the data sensing unit is used for acquiring image data and servo turntable rotation angle data; the calculation unit is used for deploying a lightweight neural network model and a multi-algorithm fusion process, processing sensor data and realizing unmanned aerial vehicle target detection and tracking logic control; the mechanical and power supply unit is used for providing physical support, servo motion capability and energy supply for the device; the communication and storage unit is used for real-time data transmission and storage and encryption archiving of historical data and image videos; and the countering execution unit is used for implementing signal interference or physical interception on the detected and tracked target. Therefore, the problems of easy target loss, low small target identification precision, poor complex environment adaptability, insufficient countering means and the like of a traditional device are solved.

The invention discloses a cable fault accurate positioning system based on an intelligent sensor system, and relates to the technical field of power fault positioning, and the cable fault accurate positioning system comprises a cloud monitoring center which is in communication connection with the following modules: a signal acquisition and processing module which is used for deploying the intelligent sensor system along a cable, operation environment data and traveling wave signals in the cable operation process are obtained, and the signals are preprocessed and stored in a cloud data warehouse. According to the invention, the front band-pass filter and the self-adaptive trap filter are combined to filter out high-frequency harmonic waves and specific-frequency interference signals, and the differential sampling technology is adopted to counteract common-mode interference, so that the signal-to-noise ratio of the signals is remarkably improved, a system can accurately capture and process weak traveling wave signals caused by a high-resistance grounding fault in a complex environment, and the fault detection accuracy is improved. Therefore, the fault positioning precision is greatly improved, the positioning error caused by signal interference is reduced, and the determination of the fault position is more reliable and accurate.

The invention provides an unmanned aerial vehicle navigation signal interference method and system based on an electromagnetic shielding array. According to the method, firstly, a navigation signal sent by a target unmanned aerial vehicle is monitored, positioning information transmission characteristics in the navigation signal are identified, then a periodic dynamic interference mode synchronous with a navigation signal transmission period is generated according to the positioning information transmission characteristics, and then, through spatial gradient barrier distribution of an electromagnetic shielding array, a dynamic interference mode is generated. Converting the periodic dynamic interference mode into directional space interference energy, and finally controlling the directional space interference energy to be continuously applied to a navigation signal receiving path of the unmanned aerial vehicle so as to complete navigation signal interference of the unmanned aerial vehicle. According to the technical scheme provided by the invention, a frequency hopping anti-interference mechanism of the unmanned aerial vehicle is effectively cracked, invalid energy consumption is remarkably reduced, the interference efficiency is improved, and error interference on non-target equipment is avoided.

Aspects of the present disclosure improve wireless networking performance by reducing or limiting performance issues caused by undetected or unknown interference sources and / or attenuation sources. Feedback from client devices can be utilized to reduce or limit wireless network performance issues caused by varying interference parameters and / or attenuation parameters observed by each client device. The feedback, associated with wireless communication conditions of corresponding client devices, in conjunction with a machine learning algorithm can be used to enable a dynamic selection of one or more particular operating bands, channels, and / or channel widths to avoid or limit signal interference and / or signal attenuation observed by each client device. Feedback from a plurality of client devices can be used to recommend one or more channels and / or one or more channel widths of one or more operating bands to use that reduces latency, CCI, and / or ACI and improves speed, throughput, and / or QoS.

The invention relates to a cooperative control method and system for realizing self-organizing protection of a multi-unmanned aerial vehicle cluster, and the method comprises the steps: M1, enabling the unmanned aerial vehicle cluster to execute a task, obtaining the data information of the remaining power, RSSI signal intensity and IMU attitude of each unmanned aerial vehicle in real time based on an airborne built-in sensor, and acquiring data information of distances and relative speeds of obstacles around the unmanned aerial vehicles in real time based on an airborne external millimeter-wave radar, constructing a dynamic threshold function stop, and if the RSSI signal strength of each unmanned aerial vehicle is greater than the stop, outputting data information of the residual electric quantity and IMU attitude of each unmanned aerial vehicle. According to the method, misjudgment (such as transient packet loss due to electromagnetic shielding) caused by temporary signal interference is effectively avoided, the misjudgment rate is reduced by 40%, unnecessary return or cluster recombination is reduced, continuous task execution is guaranteed, it is ensured that leader handover is completed quickly (at the millisecond level) when a host fails, and the situation that a cluster falls into disorder due to single-point failure is avoided.

The invention relates to the technical field of information, and discloses a radar dynamic anti-interference method and system based on interference source positioning. The method comprises the following steps: acquiring current signal data and a historical signal sequence, and determining an initial deviation value; extracting a historical deviation sequence according to the initial deviation value to obtain a deviation change trend vector; calculating a trend slope and a fluctuation amplitude, and determining an adjustment trigger signal; extracting feature interaction influence according to the adjustment trigger signal, and determining a weight coefficient update increment; iterative optimization is carried out in combination with the convergence rate parameter, and an optimized convergence rate value is obtained; adjusting deviation compensation model parameters according to the convergence speed value, and outputting a deviation compensation result when the compensation residual error is lower than a preset threshold value; and carrying out positioning calculation according to a deviation compensation result, and determining a corrected positioning coordinate. The model is dynamically optimized through technologies such as a sliding window and gradient descent, the problem of positioning deviation caused by complex environment signal interference is solved, and the positioning precision and the response speed are improved.

The invention relates to the technical field of debugging systems, in particular to an adaptive debugging system and method for touch screen FW parameters, and the system comprises a signal acquisition module, a trend triggering module, a temperature compensation calculation module, a window generation module and a parameter output module. According to the invention, the edge of the driving voltage is carefully collected, the sliding difference algorithm is introduced to filter out high-frequency noise, meanwhile, real-time sampling of environment temperature and baseline capacitance adjustment are combined, the influence of external variables on signals can be dynamically corrected, and accurate judgment of capacitance fluctuation is improved by utilizing periodic delay deviation and regression trend analysis. By means of main frequency feature extraction and zero crossing point sudden change detection, threshold setting can be refined, self-adaptive window expansion can be achieved, touch signal response is kept sensitive and consistent all the time, adjustment and optimization can still be automatically completed even under the condition that the temperature changes frequently or signal interference is complex, parameter drift and debugging failure are effectively prevented, and user experience is improved. And the parameter automatic matching efficiency and the finished product consistency in batch production are improved.

The invention relates to the technical field of communication, and discloses a network communication chip signal interference suppression processing method. The method comprises the following steps: acquiring a local oscillator phase jitter sequence in real time through an on-chip phase noise monitoring unit; estimating Doppler frequency shift and channel coherence time based on the sequence; dynamically adjusting the closed-loop bandwidth of the phase-locked loop; and generating a phase compensation signal, and performing time-varying channel minimum mean square error equalization in combination with a received baseband signal to eliminate inter-symbol interference. The system integrates a phase noise monitoring function module, a channel parameter estimation function module, a phase-locked loop bandwidth regulation function module, a phase compensation generation function module and an interference joint elimination function module. By means of dynamic bandwidth reconstruction and high-precision phase compensation, the bit error rate under high-speed movement is remarkably reduced, the 5G millimeter wave communication standard requirement is met, and the method has the advantages of being achieved on a whole chip, low in delay and high in robustness.

The invention discloses an emergency power supply-based anti-loosening cable plugging head, and relates to the technical field of cable plugging heads, the emergency power supply-based anti-loosening cable plugging head comprises a front plug body and a rear plug body, the front plug body and the rear plug body are mutually clamped, the emergency power supply-based anti-loosening cable plugging head further comprises a vertical limiting mechanism and a connecting port sealing mechanism, and the vertical limiting mechanism comprises a fixing plate and a fixing ring; the fixing plate is fixedly connected to the front plug body, and the fixing ring is fixedly connected to the rear plug body, so that the supporting plate can support the side plate, the front plug body and the rear plug body are kept vertical and parallel, and the rear plug body is prevented from being influenced by self gravity or pulling. When the rear plug body is connected with the front plug body, the phenomenon of offset in the process of connecting the rear plug body with the front plug body can be avoided, accurate butt joint of a signal transmission line can be ensured, signal interference, attenuation or loss caused by connection offset is reduced, and the situation that the normal operation of a whole system is influenced by deviation of data transmitted through an interface due to offset of the rear plug body is prevented.

The invention relates to the technical field of power systems, and discloses a cable defect positioning method, system and device, a medium and a product, and the method comprises the steps: taking a Gaussian envelope linear chirp signal as an initial incident signal for frequency domain reflection, optimizing the signal characteristic parameter of the initial incident signal, obtaining an incident signal, and carrying out the positioning of a cable defect. The method comprises the following steps: exciting a target cable through an incident signal, obtaining a reflection signal on a preset measuring point of the target cable, respectively carrying out time-frequency conversion on the incident signal and the reflection signal to obtain an incident time-frequency domain signal and a reflection time-frequency domain signal, and obtaining a time-frequency domain signal and a reflection time-frequency domain signal on the basis of a cross-correlation function. The peak position of a cross-correlation function is determined through the incident time-frequency domain signal and the reflected time-frequency domain signal, the signal propagation defect time delay of the target cable is determined according to the peak position of the cross-correlation function, and the defect position of the target cable is determined according to the signal propagation defect time delay and the propagation speed of the incident signal. Therefore, surrounding signal interference can be filtered out, and the accuracy of cable defect positioning is improved.

The invention provides a berthing ship multi-parameter real-time monitoring method and system based on a laser radar, and relates to the technical field of intelligent sensing and automatic monitoring. The method comprises the following steps: acquiring three-dimensional point cloud data; performing dynamic environment filtering processing on the acquired point cloud data; ship point cloud features in the filtered point cloud data are extracted; generating a ship three-dimensional detection frame based on the ship point cloud features; based on a ship three-dimensional detection frame, multi-parameter monitoring of the whole process from long-distance identification to ultimate berthing is achieved by dynamically adjusting monitoring strategies and algorithm parameters. According to the invention, real-time accurate monitoring of key parameters such as ship speed, distance, included angle and the like is realized, the problems of monitoring blind areas, signal interference and the like in the prior art are effectively solved, and the safety and automation level of berthing operation are remarkably improved.

The invention relates to the technical field of agricultural product detection, in particular to an agricultural product pesticide residue detection method and system. According to the method, the spatial orientation characteristics of molecular three-dimensional conformation parameters are introduced, a symmetry index set is established, matching calculation is carried out in combination with temperature distribution in chromatographic column operation parameters and the sample injection direction, accurate linkage of structural information and a chromatographic path is achieved, and through coupling analysis of response starting time and chromatographic regulation and control parameters, the accuracy of the chromatographic regulation and control parameters is improved. A detection time window taking a target protein signal as a reference is set, a response enhancement fragment with a significant rising rate is screened out in combination with a signal change trend in the window, and a target signal interval is obtained through weighted fitting, so that the specificity and pertinence of detection data are effectively improved, and the detection accuracy is improved through comparison of peak position time and response data. According to the scheme, accurate labeling of pesticide types in a complex sample is achieved, and the method has high stability and judgment accuracy under the scene that the sample heterogeneity is high and signal interference is complex.

The invention relates to the related technical field of performance testing, in particular to a performance testing method and system based on an ultrathin touch switch color film.The method comprises the steps that electrical performance testing parameters are configured to be connected with a signal generator and an oscilloscope, touch and force data are introduced, correlation between stray capacitance disturbance signals and time frequency is analyzed, and interference intensity and time delay are determined; and associating the physical defect type mapping failure path to generate a reminding signal. The technical problems that a single-point testing means is limited in analysis capacity for stray capacitance disturbance signals and cannot accurately grasp signal interference characteristics are solved, self-adaptive configuration of electrical performance testing parameters driven by building material parameters is achieved, the testing parameters can be automatically adjusted according to different color film material characteristics, the testing accuracy and effectiveness are improved, and the testing efficiency is improved. And meanwhile, the limitation of the traditional single-point test is broken through, the signal interference characteristics are accurately quantified, the signal interference condition is deeply known, the failure mechanism analysis is combined, the fault source is quickly positioned, and the fault occurrence probability is reduced.

The invention relates to a satellite communication method, a storage medium, a controller and a vehicle, and the method comprises the steps: obtaining the signal receiving strength of a user terminal under a plurality of beams of a satellite, and recognizing a target user terminal meeting a signal interference condition based on the signal receiving strength, and finally, jointly receiving uplink signals of the target user terminal through the plurality of beams, and jointly demodulating the uplink signals to obtain communication data of the target user terminal. Therefore, the satellite communication quality of the user terminal located at the edge of the beam can be improved.

The invention discloses a low-slow small unmanned aerial vehicle countering method and system based on multi-physics field signal interference, and belongs to the technical field of unmanned aerial vehicle countering. Comprising the following steps: modulation of sound wave resonance attack, laser injection attack and electromagnetic interference attack is carried out on sensing devices of multiple target unmanned aerial vehicles, and sensitive parameters of the sensing devices of different target unmanned aerial vehicles for different attack types are determined; establishing different types of unmanned aerial vehicle databases according to the obtained sensitive parameters; obtaining sensitive parameters corresponding to the target unmanned aerial vehicle model by adopting a table look-up method; high-power counter equipment is assembled; and implementing multi-physical field countering on the target unmanned aerial vehicle by adopting a periodic emission method. According to the method, the limitation of countering the low-slow small unmanned aerial vehicle by using a single method (sound wave resonance, electromagnetic interference and laser injection) is overcome, and the multi-physical field signal interference countering of the low-slow small unmanned aerial vehicle of a specified model in a specified airspace is realized.

The invention discloses a cable fault accurate positioning method and system based on acoustic-magnetic synchronization and deep learning, and relates to the technical field of cable fault localization, and the method comprises the steps: synchronously collecting an acoustic signal and a magnetic signal generated in a cable fault region, and generating an original acoustic-magnetic synchronization signal pair; in combination with the current signal interference parameter, de-noising by using a deep convolutional neural network to obtain an enhanced acoustic-magnetic synchronization signal pair, calculating an acoustic-magnetic propagation speed difference according to the enhanced acoustic-magnetic synchronization signal pair, and determining first fault point positioning; inputting the regional cable distribution topology of the cable fault region, the current fault scene parameter and the enhanced acoustic-magnetic synchronization signal pair into a fault positioning identification plug-in, and outputting second fault point positioning; and determining a second positioning prediction confidence coefficient, carrying out positioning fitting on the first fault point positioning and the second fault point positioning, and outputting a cable fault fixed point result. According to the invention, the technical problem of insufficient cable fault fixed point accuracy in the prior art is solved.

The invention discloses a safety maintenance method suitable for a vehicle-mounted intelligent cabin, and relates to the technical field of intelligent cabin safety maintenance, and the method comprises the following steps: extracting an original echo waveform sequence of a current period and a previous period in the same space region based on original echo data collected in a continuous work period of a vehicle-mounted millimeter wave radar system; according to the method, through cross-period echo waveform matching and multi-dimensional feature fusion, a historical signal interference trend is accurately quantified, an echo superposition index is dynamically output, an identification strategy for an extremely-low-speed target is adjusted, and reconfirmation is carried out only when actual space displacement of the target occurs. The method effectively reduces the misrecognition and false alarm rate of a radar system to a static or quasi-static target, avoids the false triggering of ACC, FCW, AEB and other functions, remarkably improves the stability and safety of a vehicle-mounted sensing system in a complex traffic environment, and has good engineering practicability and popularization value.

The invention discloses a PRFI suppression method based on a Hankel structure and truncation nuclear norm regularization. The method comprises the following steps: acquiring an SAR echo signal interfered by a PRFI signal; the SAR echo signals are constructed into a Hankel matrix, and the Hankel matrix comprises a low-rank PRFI signal interference component matrix and a sparse SAR useful signal component matrix; constructing a low-rank sparse decomposition model based on a Hankel matrix, wherein an objective function of the low-rank sparse decomposition model comprises a truncation nuclear norm regular term used for constraining a PRFI signal component and a sparse regular term used for constraining an SAR useful signal component; performing iterative solution on the low-rank sparse decomposition model by adopting an alternating direction multiplier method to obtain a PRFI signal interference component matrix and an SAR useful signal component matrix after separation; and carrying out inverse transformation on the SAR useful signal component matrix to obtain an SAR useful signal from which the PRFI signal is removed. According to the method, the loss of the SAR useful signal can be reduced while the PRFI signal interference is efficiently suppressed, so that the fidelity of the SAR useful signal is improved.

The invention relates to the technical field of water supply network operation and maintenance detection, in particular to a water supply network multi-pipeline leakage detection and positioning method, which comprises the following steps of: acquiring pressure time sequence data of a monitoring point of a water supply network, processing to generate a standardized pressure fluctuation sequence, and analyzing the data by utilizing a pre-trained leakage reasoning calculation model; leakage suspected degree scores and leakage type classifications are obtained, high-suspected-degree leakage events are screened, and corresponding positions and timestamps are obtained. A transient flow state inversion equation set is built in combination with a pipe network topological structure and a hydraulic model, a standardized pressure sequence is used as a boundary condition, pipe section hydraulic state changes are reversely deduced through a state inversion algorithm, pressure gradient abrupt change points are recognized, corresponding pipe sections are positioned, and leakage types and positioning information are fused to generate a complete detection positioning report. According to the method, leakage types can be accurately distinguished, multi-pipeline concurrent leakage pipe sections can be accurately positioned, non-leakage signal interference is reduced, and the method is adaptive to a complex pipe network leakage detection scene.

The invention discloses a 3D packaging structure and a manufacturing method thereof, and the method employs a glass wafer as a first carrier plate, and solves the problems of reliability and signal interference caused by the mismatching of thermal expansion coefficients of an organic material adapter plate and a Si-based silicon bridge chip. In S1, a blind hole is etched by taking a glass wafer as a base material, and Cu is metallized and filled, and the thermal expansion coefficient of glass is similar to that of a silicon bridge, so that the risk of thermal stress deformation is reduced. And S2, through groove etching, temporary carrier plate bonding and thinning, a through groove hole is formed, and the rigid structure of the glass carrier plate maintains the stability of the packaging structure during high-density integration. And S3, the silicon bridge Die is embedded into the through groove hole, the low thermal expansion characteristic of the glass is well matched with the silicon bridge, the interface stress is reduced, the dielectric property of the glass support plate is excellent, the signal dielectric loss is reduced, and the signal integrity is improved by matching with the silicon bridge Die. And S4, after the functional chip is mounted on the adapter plate, the glass-based adapter plate ensures reliable connection, signal attenuation distortion is inhibited, and a reliable packaging scheme is provided for high-density integration.

The invention relates to an RFID-based fixed asset physical management method and system, and the method comprises the steps: firstly obtaining the signal intensity data and positioning data of an RFID tag corresponding to a fixed asset in a use state at a plurality of historical inventory time points, and then carrying out the data sample screening through the signal intensity data and positioning data at the plurality of historical inventory time points; and signal abnormal time points caused by external signal interference are removed. Then, the inertial dynamic feature of each RFID is constructed through accurate positioning, so that whether each RFID tag has the inertial dynamic feature or not is found out, and the inertial dynamic features are extracted; meanwhile, the synchronous use features among different RFID tags are found by utilizing accurate positioning, so that the synchronous inertia atlas is constructed. And performing early warning management and inventory management on the dynamic characteristics of the RFID tags under various conditions by using the inertia dynamic characteristics and the synchronous inertia atlas. The method is more flexible and fits the use habit of the fixed assets in the use state.

The utility model discloses a network cable sleeve capable of preventing signal interference, which comprises a sleeve body used for loading a network cable, the sleeve body comprises an inner insulating layer, a middle shielding layer and an outer protective layer from inside to outside, and the network cable sleeve also comprises a semicircular bulge integrally formed on the inner wall of the inner insulating layer, a placing cavity for placing a cable is formed in the semicircular bulge; the middle shielding layer is mainly composed of a main shielding layer, a conductive cloth layer and a woven mesh layer. According to the utility model, the inner wall of the inner insulating layer is provided with the annular equidistant semicircular projections and the independent placing cavities, so that classified storage and physical isolation of a plurality of network cables are realized, and sheath damage and core wire hidden dangers caused by collision and friction among the network cables are avoided; meanwhile, the middle shielding layer composed of the corrugated single-face conductive aluminum foil, the copper-graphene composite conductive cloth and the double-layer reverse spiral tinned copper wire net is matched, low-frequency, intermediate-frequency and high-frequency electromagnetic interference is blocked in a layered mode, full-band signal protection is formed, and stability and reliability of network cable data transmission are guaranteed.