708 results about "Interference immunity" patented technology

The invention discloses a method for realizing data communication by a multi-band adaptive antenna based on 5G communication. The method comprises the steps of dynamic sensing and multi-mode signal fusion, multi-band intelligent analysis, hybrid beam forming and dynamic reconstruction, cross-layer parameter joint tuning, real-time monitoring and self-learning compensation, multi-band adaptive switching and fault diagnosis and error calculation. The problems that in traditional 5G communication, the antenna frequency band is fixed, the beam adjusting capacity is limited, the anti-interference performance is poor, and the communication performance is unstable in a complex environment are solved. According to the method, the channel state is accurately evaluated and predicted through fusion of the extended Kalman filtering algorithm and the convolutional neural network, and frequency band resources are intelligently allocated and optimized through the deep Q network DQN and the non-orthogonal multiple access NOMA principle, so that omnibearing optimization and management of the antenna are realized, the communication efficiency and stability are improved, and the method is suitable for large-scale popularization and application. And the efficient and stable operation of the communication system in various complex environments is ensured.

The invention relates to the technical field of data acquisition and processing, and provides a real-time data acquisition and processing method and system for a distributed control system, and the method comprises the steps: collecting a data flow in real time through a terminal sensor, analyzing the probability distribution of a data change rate through a sliding window, and obtaining a data change rate; and a sensitivity threshold is intelligently generated by combining dynamic factors such as equipment electric quantity and network load. When data mutation exceeds a threshold value, the system automatically extracts a key change section and generates time, period and variable quantity three-dimensional features, and meanwhile, the frequency domain analysis result is fused to enhance the anti-interference performance. And the event emergency degree is calculated based on the time-space correlation of the spectrum energy entropy and the characteristic parameters, and finally a processing queue sorted according to priorities is formed and the bandwidth is dynamically allocated. According to the method, through multi-dimensional data fusion and resource adaptive adjustment, the response speed of the system to emergencies, the data discrimination precision and the stability in a complex environment are improved.

The invention relates to the technical field of gas detection, in particular to a multi-gas accurate detection method and system.The method comprises the following steps that gas to be detected flows through a miniature gas enrichment device prepared through an MEMS technology under driving of a miniature gas pump, and target gas is adsorbed and enriched through graphene and metal oxide composite sensitive materials on the surface of a spiral gas inlet flow channel in the miniature gas enrichment device; the desorption concentrated gas is heated to the multi-gas composite detector, and the sensor array reacts with the gas to generate an electric signal; the data acquisition unit performs noise reduction, amplification and analog-to-digital conversion preprocessing on the electric signal; the data processing unit extracts characteristic vectors such as a response curve peak value and a rising slope; inputting the feature vector into a pre-trained machine learning classification-regression combined model, and outputting a gas type identifier and an initial concentration; error compensation is carried out in combination with environment temperature and humidity and a cross sensitivity interference mode library, and finally accurate information of at least nine gases is output. The device has the advantages of high sensitivity, strong anti-interference performance and miniaturization.

The invention discloses a pulse eddy current signal late period slope feature extraction method and system based on segmentation fitting, and belongs to the technical field of nondestructive testing. The method comprises the following steps: performing logarithmic transformation and filtering processing on a to-be-detected eddy current signal; intercepting a characteristic signal segment based on the filtering signal; dividing the feature signal segment into a plurality of sub-segments, performing piecewise linear fitting, determining a linear segment, and extracting a slope as a feature value; repeating the steps to obtain characteristic values of the test pieces with different thicknesses, performing curve fitting according to the characteristic values of the test pieces with different thicknesses and the corresponding thicknesses, and calculating a fitting error; and finally, iteratively optimizing the division number of the sub-segments by taking the minimum fitting error as a target. Through adaptive filtering, segmentation fitting and an intelligent optimization algorithm, the anti-interference performance, the linearity and the measurement precision of pulse eddy current signal feature extraction are remarkably improved, and efficient and reliable thickness detection of the high-temperature and high-pressure industrial pipeline under the condition that a heat preservation layer does not need to be disassembled is achieved.

The invention discloses a digital control uninterruptible power supply parallel operation phase locking method, which relates to the technical field of digital phase locking, and comprises the following steps of: in each analysis period, acquiring an output voltage waveform signal and a current frequency disturbance control parameter of each uninterruptible power supply, and respectively executing short-time Fourier transform to obtain an output voltage waveform signal and a current frequency disturbance control parameter of each uninterruptible power supply; and converting the time domain signal into a multi-dimensional dynamic spectrum matrix, extracting frequency and amplitude parameters of a disturbance signal, and constructing a corresponding uninterruptible power supply disturbance parameter set. According to the invention, through dynamic spectrum analysis and frequency domain coupling tensor modeling, accurate extraction of UPS modulation signal features and dynamic evaluation of resonance risk indexes are realized, in combination with a risk-driven frequency intervention mechanism, frequency coupling is broken, the frequency diversity and disturbance decoupling capability of the system are improved, and the reliability of the system is improved. The stability, the anti-interference performance and the intelligent response capability of the parallel system are obviously enhanced, and early warning and active suppression of lock point resonance are realized.

The invention discloses a vehicle-mounted Bluetooth anti-interference method and related equipment, and relates to the technical field of vehicle-mounted Bluetooth, and the method comprises the steps: obtaining the real-time interference data of the environment where the vehicle-mounted Bluetooth is located; inputting the real-time interference data into a preset anti-interference decision model to obtain a target optimization strategy; and adjusting the communication link of the vehicle-mounted Bluetooth according to the target optimization strategy. According to the invention, by sensing the environmental interference in real time and intelligently deciding and optimizing the communication strategy, high stability and strong anti-interference performance of the vehicle-mounted Bluetooth in a complex interference scene can be realized.

The invention relates to the technical field of thermotechnical measurement and signal processing, in particular to a multi-sensor linkage heat flux density-temperature real-time acquisition and error compensation method, which comprises the following steps: S1, constructing an embedded sensing array on a surface to be measured; s2, synchronously acquiring original measurement values of the sensors by taking 10ms as a period, and generating an original data matrix with a timestamp identifier; s3, extracting a three-dimensional temperature gradient field, and calculating to obtain a convective disturbance intensity coefficient of each measurement point; s4, establishing a dynamic error compensation model, and performing point-by-point error correction on the original data matrix; s5, cross validation is carried out, and credibility evaluation parameters are generated; and S6, carrying out weighted fusion, and outputting a final heat flux density-temperature coupling measurement value. According to the invention, through multi-sensor array cooperative acquisition, dynamic error compensation and credibility weighted fusion, high-precision, strong-anti-interference and high-credibility output of heat flux density and temperature measurement is realized.

The invention relates to the field of nonlinear system control, and provides a preset time reinforcement learning method and system of a continuous nonlinear system, and an electronic device, and the method comprises the steps: constructing a zero-sum game framework based on a kinetic model and a performance index of the nonlinear system; determining a value function and a Hamiltonian function based on a zero-sum game framework; applying a preset neural network model to carry out approximation on the value function, and determining an approximation error; based on the Hamiltonian function and the approximation error, an approximate optimal control strategy and a worst interference strategy are determined; constructing a Lyapunov function based on the value function and the weight error of the value function; and based on a Lyapunov function, an approximate optimal control strategy and a worst interference strategy, a reinforcement learning result is verified. The method and the device are used for overcoming the defects that convergence time cannot be dynamically adjusted, parameter complexity is high and robustness is insufficient in the prior art, and the scheme of the invention can meet dual requirements of a continuous nonlinear system on dynamic convergence and anti-interference performance.

The invention discloses a new energy broadband test analysis management and control method and system, and relates to the technical field of new energy detection and intelligent management and control, and the method comprises the following steps: obtaining a multi-window splicing frequency spectrum of a load switching edge, superposing phase lock consistency verification in a splicing frequency spectrum result, generating a frequency spectrum leakage suspicion chart, and carrying out the boundary constraint for energy track extraction; under the constraint of a spectrum leakage suspicion chart, an energy center track, a group delay curve and a phase derivative sequence are extracted, and a cross-frequency migration fingerprint is constructed and is used as a basic evidence for misjudgment traceability. By means of spectrum suspicion identification, feature fusion modeling, misjudgment traceability, label correction, energy reverse intervention and the like, accurate identification and closed-loop regulation and control of false operation caused by spectrum leakage are achieved, high identification accuracy, low misjudgment rate, high anti-interference performance and quick response capacity are achieved, and the operation stability and safety of a new energy field station are remarkably improved.

The invention relates to the technical field of electric power information communication, and discloses a parameter configuration driving type HPLC communication unit cooperation system which optimizes the transmission efficiency and anti-interference performance of power line carrier communication through an intelligent matching mechanism of a dynamic parameter configuration table and HPLC communication conditions. Comprising an HPLC hardware module, a multi-dimensional parameter configuration table module, an intelligent matching algorithm module and a feedback control module, and supports the functions of working band dynamic switching, power spectral density adaptive adjustment and anti-interference parameter real-time optimization. The problems that in traditional HPLC communication, the frequency band is fixed, the anti-interference capacity is insufficient, and parameter adjustment depends on manual work are solved, the communication reliability and the data collection efficiency in the complex power grid environment are remarkably improved, and the method can be widely applied to scenes such as an intelligent power grid, electric energy metering and remote cost control.

The invention relates to the technical field of electric field measurement, in particular to a non-contact electric field sensor design method and system, and the method comprises the steps: carrying out the electromagnetic analysis and shielding structure topological optimization based on the environment characteristics of a transformer substation, and generating mechanical design parameters; shielding structure parameters are formed through material selection and electrode optimization, a three-dimensional electromagnetic field simulation model is established, and multi-scene interference simulation and sensitivity verification are carried out; and configuring a temperature compensation circuit and optimizing circuit parameters, performing dynamic response analysis and material matching degree evaluation through a high-frequency material test platform, and finally generating sensor specification parameters. According to the method, the anti-interference performance, the measurement precision and the stability of the sensor are remarkably improved, and the method is suitable for high-precision electric field measurement in a complex electromagnetic environment.

The invention discloses an encrypted communication system and method based on cognitive multi-carrier spread spectrum, and belongs to the field of covert communication. The encryption communication system comprises a transmitting device and a receiving device. The transmitting device comprises a data encryption module, a constellation encryption modulation module, a multi-carrier spread spectrum module, a frequency hopping module and a cognitive power distribution module. The receiving device comprises a band-pass filtering module, a de-hopping frequency module, a de-spreading module, a constellation decryption demodulation module, a data decryption module and a coherent combination module. The data encryption module is divided into an interleaving coding unit and a double-rule reversible cellular automaton encryption unit. The cognitive power distribution module continuously scans a wireless electromagnetic environment and carries out real-time spectrum analysis to give power spectrum density results sensed under all frequency hopping frequency sets. According to the invention, continuous detection and dynamic response to the spatial frequency spectrum state can be realized, and the communication concealment, the anti-interference performance and the resource utilization efficiency in a complex electromagnetic environment are remarkably improved by utilizing the frequency spectrum hole.

The invention discloses a heterogeneous network converged communication control method and system for a vehicle-mounted terminal, and relates to the related technical field of communication control, and the method comprises the steps: determining a plurality of original signal fragments transmitted to a receiving end by a plurality of heterogeneous networks based on the vehicle-mounted terminal; a vehicle-mounted terminal is provided with an intermediate fusion node, and the intermediate fusion node is provided with an interference detection module and a differential processing module; carrying out adaptive signal differential coding processing according to a synchronous receiving constraint condition of a receiving end and the plurality of link interference detection signals, and outputting a plurality of differential signal fragments; and respectively sending to a receiving end for signal restoration. The technical problem that in the prior art, when a vehicle-mounted heterogeneous network sends the same or fragmented signals at the same time, due to dynamic variation of network link interference and transmission delay difference of all paths, signals at a receiving end are out of step and quality is deteriorated is solved. The technical effects that the receiving end efficiently and synchronously restores the signal, and the anti-interference performance of signal transmission and the reliability of heterogeneous network converged communication are improved are achieved.

The invention discloses a current detection method and system based on a double-ring TMR nested structure, and belongs to the technical field of current detection. The method comprises the following steps: based on a double-ring TMR system of a double-ring TMR nested structure, performing double-ring detection on the current of a to-be-detected wire in a current measurement scene; synchronously acquiring double-ring data obtained by double-ring detection through AD, and performing wavelet denoising on the double-ring data according to the structure data of the double-ring TMR nested structure; and based on a Kalman filtering algorithm, fusing the double-loop data after wavelet denoising to obtain current information of the to-be-measured wire in the current measurement scene. The method not only has outstanding advantages in the aspects of measurement accuracy and anti-interference performance, but also has a wide measurement range and stable linearity performance, and can be widely applied to complex electromagnetic environments with high requirements on current detection accuracy, such as new energy grid connection, electric vehicle charging piles and intelligent power grids.

The invention relates to the technical field of power grid stability analysis, in particular to a mechanical vibration micro-grid electromechanical coupling system stability analysis method, which comprises the following steps of: detecting a tooth surface contact radius, a relative speed and a Young modulus to generate a contact stiffness initial value, correcting nonlinear stiffness by interval difference, and calculating the stability of a micro-grid electromechanical coupling system. The method comprises the following steps: calculating a coupling response vector by combining rotor displacement and bearing clearance, inputting a Lyapunov exponent method to solve an exponent vector, constructing a model length ratio to detect derivative characteristics, extracting a multidimensional state vector in a positive value period and the coupling response vector to generate a compensation action, and constructing an FPGA simulation path injection disturbance execution error feedback back-transmission fuzzy control algorithm. According to the method, a contact stiffness dynamic correction and nonlinear difference method is introduced, six-degree-of-freedom displacement and bearing clearance parameters are combined, an electromechanical coupling model is established, a stability boundary is recognized through Lyapunov regression, a critical state is detected through derivative features, and multi-dimensional state vector fuzzy control compensation is fused. And the response and the immunity are optimized by combining FPGA simulation and a disturbance mechanism.

The invention relates to a power equipment multi-modal data real-time acquisition and monitoring system based on a star flash ad hoc network, and belongs to the technical field of power Internet of Things. Aiming at the problems of high communication delay, large multi-source data fusion error and poor complex environment adaptability in power equipment monitoring, the method comprises the following steps: 1) constructing a star-flash dynamic ad hoc network, and modulating by adopting FHSS frequency hopping and QPSK-polarization code (error rate lt; 10-6) the anti-interference performance is improved; 2) designing a multi-modal data space-time alignment algorithm (IEEE 1588v2 + DTW interpolation) and a dynamic weight fusion strategy (normal / fault working condition weight 0.6-0.2); and 3) three-dimensional visualization and edge AI fault positioning are realized based on digital twinning, and the accuracy rate is 98.5%. The system reduces the operation and maintenance cost by 67%, and is suitable for high-precision monitoring scenes such as a transformer substation.

The invention relates to the technical field of concrete detection, in particular to a concrete protective layer void detection method and system based on a detachable piezoelectric ceramic sensor and an electromechanical impedance resonance technology. The detection method comprises the following steps: temporarily fixing a detachable piezoelectric ceramic sensor on a detection point on the surface of a concrete structure; applying an alternating-current sweep-frequency voltage to excite the piezoelectric ceramic sensor, and obtaining an electromechanical impedance signal frequency spectrum; the electromechanical impedance signal frequency spectrum is analyzed, the frequency of a local defect formant is obtained, and according to the frequency of the local defect formant, geometric parameters of a void area are estimated through a defect size and frequency relation model; and moving the sensor and repeatedly detecting other detection points. The detection method has high efficiency and flexibility, and detection can be realized in any environment; the single-point detection speed is high, the efficiency is high, baseline data is not needed for detection, the anti-interference performance is high, and rapid positioning and quantitative evaluation of void damage can be achieved.

The invention discloses a data transmission method, a server system, equipment and a medium, and relates to the technical field of data transmission, and the method comprises the steps: determining a sampling pulse corresponding to first target data, obtaining a plurality of sampling pulses in a segment through the segmentation processing of the sampling pulse, and taking the plurality of sampling pulses as target sampling pulses, so as to improve the accuracy of collecting effective data. According to the method, interference signals caused by corresponding jitter instability conditions under serial port hot plugging are avoided, and the target sampling pulses obtained after segmentation processing are used for keeping data stability and avoiding high possibility of doping of the interference signals at the same time. And determining the second target data based on the target sampling pulse, and improving the anti-interference performance of the second target data under the bit. The technical problems that normal serial port use cannot be maintained when jitter interference occurs in the hot plug process, and even the whole machine crashes can be solved, and the technical effect of improving the anti-interference performance of data is achieved.

The invention discloses a composite sensing electrode and a preparation method and application thereof, and belongs to the technical field of environmental detection.The preparation method comprises the steps that CNC is activated, then the activated CNC is modified with a CdS cluster material, a CdS-CNC composite electrode material is obtained, then a GCE electrode is modified with the CdS-CNC composite electrode material, and a CdS-CNC-GCE composite sensing electrode is obtained; the invention also discloses the CdS-coated CNC-GCE composite sensing electrode prepared by the method and application of the composite sensing electrode in detection of heavy metal elements in an aqueous solution. The CdS-coated CNC-GCE composite sensing electrode has the beneficial effects that an effective technical method and way are provided for improving the electrode performance of a heavy metal sensor, the prepared CdS-coated CNC-GCE composite sensing electrode is high in anti-interference performance and good in stability, the content of various heavy metals can be timely and rapidly detected, and the purpose of dynamically monitoring the change of the content of the heavy metals in the production activity period is achieved.

The invention belongs to the technical field of production control, and provides a production control method and system for a high-frequency data cable. The method comprises the following steps: detecting a group of thickness distribution data of a foaming belt at a belt placing end of the foaming belt by adopting a laser thickness gauge, and calculating to obtain a thickness distribution deviation value; when the thickness distribution deviation value exceeds a deviation threshold value, depth prediction is carried out on the group of thickness distribution data and the foaming belt type by using a conjoint analysis model based on lightweight temporary case data, and joint compensation parameters are obtained and comprise associated line pressing pressure and line pressing temperature; and a line pressing device integrated with a heating element is controlled to mechanically press the foaming belt, so that the density uniformity of the foaming layer is improved to be higher than a specified value. Through the temperature and pressure synergistic effect, the foaming belt is slightly softened and uniformly fills the gaps of the core wires, the density uniformity of the foaming layer can be further improved, and therefore the characteristic impedance consistency and the anti-interference performance of the cable are remarkably improved.

The invention relates to the technical field of communication anti-interference detection, in particular to a communication anti-interference simulation detection method for a flywheel energy storage system, and the method comprises the following steps: obtaining torque data to generate disturbance characteristics, comparing interference levels, injecting electromagnetic signals, monitoring error code statistics delay errors, and analyzing communication levels to generate a link anti-interference simulation detection result. According to the method, disturbance characteristics are constructed by extracting torque sudden change points, interference frequency band injection is guided, causal linkage of disturbance response and electromagnetic interference is formed, and pertinence and effectiveness of interference injection are enhanced; identifying a bit error rate fluctuation trend and a delay peak value through a sliding window, and realizing dynamic description of a communication quality degradation process; a synchronization error is calculated in combination with an interference spectrum and an error code time point, and the capability of monitoring the consistency change of link time is improved; grade mapping is carried out on the basis of multi-dimensional indexes, the anti-interference performance is converted from static testing to dynamic evaluation, and the testing granularity, adaptability and accuracy are improved.

The invention discloses a cold rolling speed-rolling force-tension cooperative control system and method for a composite board, and the method comprises the steps: firstly, achieving the multi-step dynamic prediction of rolling key parameters through the time sequence feature extraction capability of a GRU network based on the cold rolling data of a multi-layer composite board, and achieving the feed-forward control through online optimization; a fuzzy PID self-adaptive compensation strategy is combined, so that the influence of external disturbance and parameter time variation is effectively inhibited; and the two methods are combined in a weighted fusion manner, so that the perspectiveness is ensured, the real-time disturbance influence is considered, and the cold rolling speed-rolling force-tension cooperative control of the composite plate is realized. According to the cold rolling speed-rolling force-tension cooperative control system and method for the composite board, the control effect is better, higher generalization ability and anti-interference performance are achieved, the control precision and stability of cold rolling of the multi-layer composite board are greatly improved, and the system and method can be widely applied to the cold rolling production process of the multi-layer composite board.

The invention discloses a direct-current cable single-pole grounding fault distance measurement method based on instantaneous power curve slope change, relates to the technical field of electrics, and has the advantages that external signal injection is not needed, positioning is realized directly through dynamic slope change of a power curve, the problems of complicated equipment and poor anti-interference performance of a traditional traveling wave method are solved, and the positioning accuracy is improved. According to the technical scheme, the method comprises the following steps that A1, voltage and current signals of conductor layers of a positive electrode and a negative electrode are obtained; a2, calculating a primary slope S0; a3, calculating an equivalent time point tz; a4, the maximum secondary slope pmax is calculated; a5, calculating a constant alpha and correction coefficients lambda and k; a6, an actual secondary slope pavg is obtained; and A7, obtaining a fault distance x. According to the method, the instantaneous power change of the head end of the cable is monitored, and the dynamic change of the power slope is combined, so that the fault position can be accurately identified in real time.

In order to solve the technical problems that an existing wireless communication system based on magnetic coupling needs to be additionally provided with a foreign matter detection unit, so that the system is complex, the cost is high, the dynamic adjustment capability is lacked and the anti-interference performance is poor, the invention provides a wireless communication system and method with foreign matter detection and anti-interference functions. Impedance data of the transmitting coil module are used for foreign matter detection, detected foreign matter distribution information is coded into binary codes to be embedded into communication frames to be transmitted together with the communication frames, and data interaction delay among functional units is eliminated; the working mode switching module predicts the working mode of the wireless communication system at the next moment in real time based on the detected foreign matter distribution data, the actually measured energy efficiency ratio and the channel quality data, and triggers the current regulation and control unit to perform cooperative control on each coil unit of the transmitting coil module when the anti-interference mode needs to be started. And foreign matter detection and efficient information anti-interference transmission are synchronously realized.

The invention provides a remote communication method, device and equipment for a mixing and clarifying tank stirring device, belongs to the technical field of nuclear fuel post-processing, and solves the problem of control signal fluctuation caused by electromagnetic interference, cable aging and environment abrupt change in a complex industrial scene. The method comprises the following steps: acquiring signal quality data; preprocessing the signal quality data to obtain preprocessed signal quality data; determining predicted signal attenuation data according to the preprocessed signal quality data; comparing and analyzing the predicted signal attenuation data with a preset threshold value to obtain a control instruction; and controlling the mixing and clarifying tank to communicate according to the control instruction. According to the scheme, the anti-interference performance and the prediction precision can be improved, and the communication failure rate and the energy consumption are reduced.

The invention provides an ultrasonic water meter flow measurement data processing method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining ultrasonic signals in a downstream direction and a countercurrent direction, and respectively forming a first time domain signal and a second time domain signal; performing window function windowing and framing processing on the two time domain signals to obtain a corresponding signal frame sequence; respectively executing Fourier transform and frequency domain filtering, and recovering the first time domain signal frame sequence and the second time domain signal frame sequence through inverse transformation; splicing the recovered frame sequence, and analyzing and extracting a propagation time difference through a cross-correlation function; calculating the flow velocity according to the propagation time difference, and obtaining the water flow in combination with the pipeline cross-sectional area. Thus, the most probable propagation time difference is extracted through the cross-correlation peak value, the signal quality is enhanced in combination with frequency domain filtering, and the anti-interference performance and the overall precision of flow velocity measurement can be effectively improved.

The invention provides a high-dynamic GNSS null widening and deepening anti-interference method based on triangular distribution, and the method comprises the steps: setting the change of an interference signal incident angle to follow a triangular probability distribution model, and estimating a sampling covariance matrix of a received signal; determining a conversion matrix, namely an expansion matrix, between an average covariance matrix and a sampling covariance matrix on the basis of a disturbance model for null widening, extracting interference components in array receiving signals through orthogonal projection transformation, enhancing the interference components through weighting coefficients, reconstructing the sampling covariance matrix for null deepening, and extracting the interference components from the array receiving signals through orthogonal projection transformation. And performing tapering processing on the reconstructed sampling covariance matrix, and realizing null widening and deepening while performing interference suppression by using a PI algorithm. The null width and the null depth can be adjusted through parameters so as to adapt to different interference environments, and the anti-interference performance of the navigation receiver is remarkably improved.

The invention discloses a highly dustproof MEMS microphone packaging substrate and a processing method thereof. The highly dustproof MEMS microphone packaging substrate is characterized in that a capacitor-embedded resistor-embedded substrate is provided with a sound hole processing area; the two outermost layers of the capacitor-embedded resistor-embedded substrate are respectively covered with an ultrathin copper layer, and a window is manufactured on one ultrathin copper layer at a position corresponding to a sound hole processing area through a pattern manufacturing process. And after the position, corresponding to the sound hole machining area, on the other ultrathin copper layer is thickened, a copper net pattern formed by connecting a plurality of copper wires in a crossed mode is manufactured. Based on the window, at least part of the sound hole machining area is hollowed out through a laser groove burning technology, and a sound hole communicated with the copper net pattern is manufactured; cleaning the sound hole and the copper mesh pattern; and plating a protective layer on the copper net pattern. The processing method is novel and reasonable, the obtained MEMS microphone packaging substrate has the advantages of being small in size, thin in structure, excellent in ventilation and dustproof performance, high in sound transmission quality, high in reliability, high in anti-interference performance and the like, and market requirements are met.

The invention discloses a communication method based on a reconfigurable intelligent surface, a communication device based on the reconfigurable intelligent surface and a communication system based on the reconfigurable intelligent surface, and belongs to the technical field of wireless communication. Jointly optimizing a current beam forming vector and a current RIS reflection parameter of the sender according to a channel estimation result obtained in real time through a depth deterministic strategy gradient algorithm; a joint optimization model of beam forming and RIS parameters of a sender is established, a non-convex optimization problem is converted into a Markov decision process, efficient solution is realized through a depth deterministic policy gradient algorithm, and the transmission capability of communication can be improved. Furthermore, a reconfigurable intelligent surface technology is introduced, a reflection unit with independent amplitude-phase regulation and control capability is designed, the amplitude fixed limitation of a traditional passive RIS is broken through, double-fading path loss can be effectively overcome, and then the anti-interference performance of a communication system in complex electromagnetic environments such as high spectral density and high interference power can be improved.

The invention discloses an anti-electromagnetic interference power distribution cabinet shielding method, which optimizes sensor layout through partition topology information and electromagnetic environment parameters, automatically collects and marks multi-partition frequency spectrum original signals, implements normalization, filtering and abnormal point cleaning, combines artificial intelligence classification, and improves the anti-electromagnetic interference performance of a power distribution cabinet. According to the method, characteristic parameters such as dominant interference frequency, amplitude change and interference types are extracted, grounding strategy judgment and physical switching are driven, real-time feedback closed-loop verification and compensation factor self-adaptive optimization are combined, and finally the anti-interference performance of the power distribution cabinet system is dynamically improved. According to the method, partitioned electromagnetic environment perception, grounding strategy flexible adjustment and data management capability are effectively enhanced, the method is suitable for a complex power distribution scene, and the operation reliability and the anti-interference capability are improved.