1681 results about "Noise elimination" patented technology

The invention provides a power grid fault waveform identification and intelligent relay protection rapid control method and system, and relates to the technical field of electric power, and the method comprises the steps: collecting the voltage and current waveform data of a power grid, carrying out the digital filtering and noise elimination processing, carrying out the Fourier transform and wavelet transform, extracting the time domain and frequency domain features, and constructing a combined feature vector. And a deep learning model including a convolutional neural network and a long-short-term memory network is used to identify and evaluate the type, position and amplitude of the power grid fault based on the feature vector database. And then, a multi-target particle swarm optimization algorithm for constructing a target weight matrix based on historical fault data is adopted to optimize fault isolation time, a power supply recovery rate and system stability to obtain a control strategy, and a relay protection device setting value is adjusted according to the control strategy to execute fault isolation and power grid topology reconstruction.

The invention relates to a three-dimensional reconstruction method based on a visual odometer and deep learning. The method comprises the following steps: obtaining related parameters of a monocular camera through camera calibration; shooting continuous image frames of the target area under the plurality of camera poses through the monocular camera to obtain image frames of the target area after distortion correction under the plurality of camera poses; estimating relative poses of the camera among different image frames by using a visual odometer according to related parameters of the monocular camera; constructing a cost body of the image frame by using a cost body generation model according to the relative pose of the camera; optimizing the cost body generation model by using the geometric consistency loss and the depth consistency loss, and generating a depth map of the image frame through the optimized cost body generation model; performing noise elimination and hole filling on the depth map of the image frame to obtain an optimized three-dimensional map; according to the method, a stable reconstruction effect can be kept in a complex environment, a low-texture region and a scene with a large visual angle span, and compared with an existing single deep learning reconstruction method, the method has higher robustness and reconstruction precision.

The invention discloses an environment perception system based on multi-agent interaction, and the system comprises an environment perception data obtaining unit which is used for obtaining multi-agent environment perception data; the data feature vector construction unit is used for acquiring environmental perception standard data, performing noise elimination processing on the perception standard data, constructing a data feature vector and acquiring standard associated data from the environmental perception standard data; the perception analysis model construction unit is used for clustering the data feature vectors according to the standard associated data to obtain a to-be-trained data set, and performing multi-agent interaction training on the initial model by using the to-be-trained data set to obtain a multi-agent perception analysis model; and the perception analysis unit is used for carrying out hierarchical processing on the environment perception data to obtain perception feedback data, and inputting the perception feedback data into the multi-agent perception analysis model to obtain a dynamic perception result. And the survivability of the intelligent agent in a complex environment is improved.

The invention discloses a music data identification method and device based on multiple sound parts, equipment and a storage medium. The method comprises the steps that music data is collected and then preprocessed, noise interference is removed, the music data is converted into a spectrogram through multiple kinds of time-frequency analysis, features are extracted through a deep learning algorithm fusing CNN, RNN and an attention mechanism, then sound parts are classified and labeled, adaptive noise elimination and a filter are adopted in preprocessing, and volume normalization is carried out. The device comprises a data acquisition module, a preprocessing module, a time-frequency analysis module, a feature extraction module and a classification labeling module, and the equipment comprises a processor and a memory to execute the method. The method is also realized when the program stored in the storage medium is executed; through adaptive denoising, a multi-analysis method, a composite deep learning model and a classification labeling technology, noise is effectively removed, sound features are clearly displayed, features are accurately extracted, sound functions are determined, processing efficiency is improved, large-scale real-time processing requirements are met, and digital development of the music industry is assisted.

The invention provides a temporomandibular joint health state monitoring system and method based on joint vibration information, the system comprises a pasting touch type sound sensor, a microcontroller and an interactive display terminal, the pasting touch type sound sensor is used for pasting on a temporomandibular joint, obtaining a three-dimensional joint vibration analog signal, and sending the three-dimensional joint vibration analog signal to the microcontroller; the microcontroller carries out signal amplification, filtering processing and noise elimination, converts the signals into digital signals which can be identified and stored by the display terminal, and sends the digital signals to the interactive display terminal; the interactive display terminal is used for realizing real-time visual output of a three-dimensional joint vibration oscillogram and realizing an interaction function, and judging the health state of the temporomandibular joint based on an input maximum mandibular movement range, existence or absence of pain and joint noise parameters; on the basis of more comprehensive joint vibration information, real-time quantitative monitoring of the health state of the temporomandibular joint can be more accurately achieved, and a doctor can effectively and preliminarily screen the health state of the joint and a user can conduct self-monitoring at home conveniently.

The invention discloses a power plant data management method and system based on an SIS system, and relates to the technical field of data management, and the method comprises the steps: obtaining power plant operation data, and carrying out the unified formatting processing of the power plant operation data; preprocessing the formatted data, and removing noise and invalid data; performing quality verification on the preprocessed data, and checking data integrity and consistency; classifying, marking and storing the data subjected to quality verification into a database; and extracting and analyzing data from the database according to operation requirements of the power plant, and generating a decision report. According to the power plant data management method based on the SIS system, through unified formatting and time alignment processing, data format difference and time disorder between different devices are eliminated, and consistency and accuracy of data are ensured. And noise elimination, interpolation processing and anomaly detection are adopted, so that the data quality is guaranteed, and the reliability of an analysis result is improved. And aiming at data with different access frequencies.

The invention relates to the technical field of acoustics, in particular to a manufacturing method of an acoustic liner structure and the acoustic liner structure. The acoustic lining structure comprises a first panel, an embedded tube plate, a surrounding wall structure and a second panel which are sequentially arranged in the thickness direction of the acoustic lining structure, the embedded tube plate and the first panel are matched to form a plurality of embedded tubes, the second panel is a through hole panel, and therefore the first panel, the embedded tube plate, the surrounding wall structure and the second panel are matched to form a plurality of acoustic elements. Each acoustic element is provided with a plurality of Helmholtz cavities arranged side by side, the spaced Helmholtz cavities are communicated through embedded pipes to form an element, other Helmholtz cavities which are communicated through or not through the embedded pipes form another element, and the silencing capacity of the acoustic liner structure can be enhanced through the strong coupling effect and the weak coherent coupling effect in different acoustic elements. According to the acoustic liner structure and the manufacturing method thereof, under the condition that the thickness of the acoustic liner structure is limited, the low-frequency, broadband and efficient noise elimination characteristics can be achieved, the manufacturing process is clear, and operability is high.

The invention provides an analog-to-digital converter, a conversion method and an electronic product. The analog-to-digital converter comprises a differential analog-to-digital conversion module and a compensation module, the differential analog-to-digital conversion module is used for eliminating sampling thermal noise based on a double-sampling mode and realizing analog-to-digital conversion of an input signal; the compensation module receives the compensation signal, the output end of the compensation module is connected to the input end of a pre-amplifier in the differential analog-to-digital conversion module, and the compensation module compensates the change of the input signal coupled to the input end of the pre-amplifier based on a differential mode; wherein the input signal and the compensation signal which are connected to the same input end of the pre-amplifier are differential signals. According to the analog-to-digital converter, the conversion method and the electronic product, the sampling thermal noise elimination technology is adopted, the signal bandwidth limited by the saturation problem of the amplifier is increased by adopting the first-order approximate compensation module based on the differentiating circuit, and the analog-to-digital converter has the advantages of being small in sampling capacitance, low in noise, large in signal bandwidth and the like.

The invention relates to the technical field of pipeline noise elimination, in particular to a precision filter sealing performance detection method and device.The method comprises the steps that in the pressurization and pressure maintaining process of different temperature grades, air pressure is collected, and the real air pressure sequence, the standard air pressure sequence, the pressurization time period and the pressure maintaining time period of the same temperature grade are determined; determining the temperature influence degree of the precision filter; leakage sub-time periods are divided from the pressurization time period and the pressure maintaining time period, and the intermittent leakage degree corresponding to the same temperature grade is determined according to the duration of all the leakage sub-time periods divided according to the same temperature grade and the duration of the pressurization time period and the duration of the pressure maintaining time period; and combining the difference between all the temperature grades and the actual temperature for detecting the sealing performance of the precision filter and the temperature influence degree of the precision filter to finish the sealing performance detection of the precision filter. The precision filter sealing performance detection accuracy can be improved.

The invention discloses a noise elimination circuit structure, a low noise amplifier, a chip and electronic equipment. The noise elimination circuit structure comprises an input matching network; a common source stage amplification path connected with the first differential output end of the input matching network, comprising a first common source stage differential amplifier, and outputting an amplified first signal inverted from the radio frequency input signal to the ground; the common-gate amplification path is connected with the second differential output end of the input matching network, comprises a first common-gate differential amplifier and outputs an amplified second signal which is opposite to the radio frequency input signal to the ground; and the output end of the common-source amplification path and the output end of the common-gate amplification path are connected in parallel to form the output end of the noise elimination circuit structure. The common-source amplification path and the common-gate amplification path required by the noise elimination structure are realized by using one amplifier path, the utilization rate of the layout area is improved, the compactness of the layout is realized, and the amplifier can be widely applied to the field of communication or radar.

The invention discloses a pipeline high-frequency silencer based on acoustic mode modulation and a perforated pipe. The pipeline high-frequency silencer comprises a shell, and the interior of the shell is connected with a cylindrical inner pipe through a plurality of partition plates; the partition plates are parallel to the axial direction of the inner pipe and evenly arranged in the circumferential direction of the inner pipe. The partition plates divide an annular cavity formed between the shell and the inner pipe into a plurality of sub-cavities of the same size. Flanges are connected to two ends of the shell. The invention further discloses a design method of the pipeline high-frequency silencer based on acoustic mode modulation and the perforated pipe. The design method comprises a perforated design method of the inner layer of the shell and / or the inner layer of the inner pipe and a design method of the partition plate. According to the pipeline high-frequency silencer based on acoustic mode modulation and the perforated pipe, the problem that in the prior art, a sound absorption material which is prone to losing efficacy and harms human health is used for achieving high-frequency noise suppression is solved. High-frequency noise elimination is achieved through the partition plate and the perforated pipe, the structure is simple, and disassembly and replacement are convenient.

The invention relates to the technical field of water quality monitoring and analysis, in particular to an intelligent Agent collaborative decision-making system oriented to environment monitoring. Comprising the steps that original data including water quality parameters and environment data are collected in real time; performing noise elimination, missing value filling and standardization processing on the collected original data, and outputting preprocessed data; the method comprises the following steps: integrating multi-source data including historical monitoring data, pollution source information and treatment cases, performing vectorization coding on the multi-source data by adopting a BERT model, and constructing a retrieval architecture based on hierarchical indexes and inverted indexes of a hierarchical navigable small world to obtain a dynamic water quality knowledge base; and on the basis of a retrieval enhancement generation technology, associating the preprocessed data with the dynamic water quality knowledge base, predicting a water quality change trend through a time sequence prediction model, and generating an abnormality diagnosis report and a closed-loop treatment scheme. According to the invention, analysis and early warning of water quality are realized through collaborative decision-making of the intelligent Agent.

The invention discloses a multi-language speech recognition and interaction method of a humanoid robot, particularly relates to the technical field of speech recognition and interaction, and effectively separates background noise and target speech signals through a multi-channel high-sensitivity microphone array in combination with an adaptive noise elimination algorithm, thereby improving the speech signal recognition accuracy in a noisy environment and improving the speech recognition efficiency. A speech speed fluctuation abnormal coefficient, an intonation deviation coefficient and a background noise influence coefficient are calculated through deep analysis of speech signals and background noise feature data of a target interaction object, and a sentence segmentation model is adjusted according to habits of speech speeds, intonation, pauses and the like of different speakers, so that the problem of inaccurate sentence segmentation under different users or contexts is avoided; the sentence segmentation adaptation optimization index is generated according to the sentence segmentation adaptation optimization model, whether parameters of the sentence segmentation model need to be adjusted or not is judged by combining a threshold value, real-time response and optimization are achieved, the situation of misjudgment or missed judgment is reduced, and the smoothness and accuracy of overall interaction are improved.

The invention discloses a building live-action three-dimensional reconstruction system based on point cloud data, and relates to the technical field of building live-action three-dimensional reconstruction, the building live-action three-dimensional reconstruction system comprises a preprocessing module, a multistage adaptive noise filtering module, a semantic and geometric joint reasoning module and a three-dimensional model generation module which are connected in sequence; the preprocessing module is used for receiving original building point cloud data, performing registration and initial space division, and outputting a registered point cloud data set. According to the building live-action three-dimensional reconstruction system based on the point cloud data, by introducing a multi-stage adaptive noise filtering and semantic geometry joint reasoning cooperation mechanism, the contradiction that noise elimination is inaccurate and feature details are easy to lose in a complex building scene in an existing method is effectively solved. The system can intelligently distinguish the real discrete noise from the inherent complex geometric features of the building, and maintains the integrity of the details such as decorative members and curved roofs to the greatest extent while ensuring the denoising effect, thereby achieving the high-fidelity point cloud data preprocessing.

The invention relates to the technical field of fracturing wellhead pressure prediction, and discloses a fracturing wellhead pressure real-time prediction method and system, and the method comprises the following steps: collection processing: collecting multi-field data in a fracturing wellhead fracturing process, and carrying out noise elimination and time-space alignment to obtain a standardized time series data set; parameter identification: based on the standardized time series data set, calculating fracture fractal dimensions, fractional order parameters, temperature-sensitive viscosity and random disturbance intensity in the fracturing process by analyzing fracture fractal features and a multi-field coupling relationship to obtain multi-field parameters; and model construction: constructing a physical model fusing fractional order characteristics and random disturbance based on the multi-field parameters. The method comprises the following steps: acquiring and processing multi-field data to obtain a standardized time series data set, extracting multi-field parameters, constructing a physical model fusing fractional order characteristics and random disturbance based on the multi-field parameters, solving by combining fracture expansion constraint conditions, and carrying out weighted fusion on pressure and residual errors of the physical model.

The invention discloses a sliding rail moving type bus duct structure, and relates to the technical field of bus ducts. Comprising a protection shell, a sliding cover, a wire row and a fixed protection assembly, heat generated by the wire row is transmitted to a self-adaptive baffle through a conduction vibration buffering piece, the self-adaptive baffle generates corresponding bending deformation according to the magnitude of the absorbed heat, and therefore a gap of the corresponding size is generated in a heat dissipation opening, and the purpose of self-adaptive heat dissipation according to the temperature is achieved. The fixing frame is used for fixing a wire row, vibration is transmitted to the conduction shock absorber, part of vibration is absorbed through deformation of the arc-shaped spring piece, the vibration is reduced, the transmission plate is used for driving the damping sliding block to slide in the sliding groove of the protection shell in a reciprocating mode, and friction force generated between the damping sliding block and the damping piece resists movement of the damping sliding block. The vibration amplitude of the damping sliding block is weakened, so that the damping sliding block tends to be static more quickly, vibration of the wire row is converted quickly, and the purposes of vibration reduction and noise elimination are achieved.

The utility model provides a broadband silencer and an engine air inlet system. The broadband silencer comprises an air inlet pipe, an air outlet pipe, a silencer shell connected between the air inlet pipe and the air outlet pipe, and a resonance sound absorption structure arranged in the silencer shell. The resonance sound absorption structure is made of an elastic vibration material and is configured to be tubular; the resonance sound absorption structure is connected between the air inlet pipe and the air outlet pipe and forms an air inlet channel together with the air inlet pipe and the air outlet pipe. The inner diameter of the silencer shell is larger than the outer diameter of the resonance sound absorption structure, and a silencing cavity is formed between the silencer shell and the resonance sound absorption structure. According to the broadband silencer, elastic vibration of the resonance sound absorption structure enables the silencing cavity to form a resonance cavity, energy of noise is converted into vibration kinetic energy, and therefore the silencing performance of the broadband silencer can be improved.

The invention relates to the technical field of insulation monitoring, and discloses a pipeline insulation monitoring system and method based on a wireless passive sensor, and the system comprises a sensor assembly which comprises a wireless passive electromagnetic sensor; the processing unit collects a reflected signal set for noise elimination; the judgment unit compares the reflected signal set after noise elimination with a standard signal range to judge the signal type; when the suspected abnormal signal is determined, grouping the reflected signal set to determine whether the reflected signal set is an abnormal signal; when the signal is judged to be the abnormal signal, identifying unit abnormal data, and determining whether the characteristic vector judges whether the abnormal data is the same defect or not; and the early warning unit determines a defect weight according to an identification result and determines a pipeline insulation monitoring result. According to the invention, the efficiency of pipeline insulation monitoring is improved, the risks of manual intervention and misjudgment are reduced, and the safe operation of the pipeline is ensured.

The invention relates to the technical field of image recognition and processing, and discloses an emotion-driven 2D supernatural digital human video generation system of a multi-modal model, and the system comprises a voice input module which is used for receiving a voice signal of a user and then converting the voice signal into a digital signal; the voice preprocessing module is used for carrying out noise elimination and normalization processing on the voice signals; the voice emotion analysis module extracts emotion features based on the digital signals of the voice preprocessing module; the multi-modal generation module is used for mapping the emotional characteristics into digital human gestures and digital human population type actions; and the video generation module is used for synchronizing the gesture and the mouth shape action with the voice signal and generating a 2D digital human video. According to the method and the device, the speech emotion features are accurately mapped into the gestures and mouth shape actions of the digital human through the multi-modal generation model, the actions highly matched with the emotion types, the emotion intensity and the mood features are generated, so that the expression effect with rich emotions is visually presented, and the user experience is more realistic.

The invention provides a noise elimination structure, a compressor and an air conditioner, the noise elimination structure comprises a first noise elimination component which is detachably arranged on a mounting base, and at least part of the first noise elimination component is used for defining a first cavity; at least part of the second silencing component is arranged on the first silencing component in a sleeving mode, and a second cavity is formed by the second silencing component and at least part of the outer wall face of the first silencing component; wherein at least part of the first silencing part is provided with a plurality of silencing holes, so that the first cavity and the second cavity are communicated through the silencing holes, the silencing frequency band of the first cavity is different from that of the second cavity, the first cavity is communicated with the air outlet of the mounting base, and the second cavity is communicated with the air outlet of the mounting base. At least part of gas flowing out of the mounting foundation flows to the first cavity, the silencing holes and the second cavity for vibration reduction; the problems that in the prior art, compressor micro-perforation can only reduce noise in the same frequency band, and full-frequency-band noise control from low frequency to high frequency cannot be effectively achieved are solved.

The invention discloses an underwater topographic data denoising method based on triangulation. The method comprises the following steps: step 1, carrying out tide level correction, sound velocity correction and attitude correction on collected underwater topographic point cloud data to complete data preprocessing; step 2, carrying out gridding processing on the point cloud data, and dividing regions according to topographic characteristics; step 3, in each grid, selecting an elevation median as a sample point, performing triangulation based on the grid sample point, and calculating an error distance from the point to a triangular surface; step 4, calculating an adaptive threshold according to multi-level error range statistics and dynamic weight optimization; and step 5, judging and eliminating noisy points according to the threshold value, and outputting purified point cloud data. According to the invention, the method combines regional dynamic threshold adjustment, multi-level error range statistics and dynamic weight optimization, and realizes rapid and efficient noise elimination.

The invention discloses a multi-microphone-core noise reduction method for a microphone, and the method comprises the steps: obtaining a multi-channel sound signal through a plurality of microphone cores of the microphone, and transmitting the sound signal to a beam forming system; the beam forming system can output processed multi-channel sound signals and transmit the processed multi-channel sound signals to the filtering control system and the self-adaptive noise elimination system. The filtering control system can output processed multichannel sound signals and transmit the processed multichannel sound signals to the self-adaptive noise elimination system and the single-channel noise reduction system; the adaptive noise elimination system can convert multi-channel sound signals into single-channel sound signals and transmit the single-channel sound signals to the single-channel noise reduction system, background noise can be effectively suppressed through technical means of beam forming, filtering control, adaptive noise elimination and the like, voice signal definition and quality are improved, and the noise reduction effect is improved. And the requirements of modern communication and audio processing equipment are met.

The invention relates to the technical field of vibration and noise reduction of a pipeline system, and provides a pulsating noise active noise elimination pressure release valve which comprises a valve body, a liquid inlet cavity and a pressure release cavity, the bypass pipe is communicated with the liquid inlet cavity; the pressure relief assembly comprises an adjusting part, a pressure relief elastic part and a pressure relief valve element, the pressure relief valve element and the pressure relief elastic part are arranged in the pressure relief cavity, the adjusting part is movably arranged on the valve body, and the pressure relief elastic part is arranged between the adjusting part and the pressure relief valve element in a pressed mode; the electromagnetic actuator is arranged in the liquid inlet cavity, and the noise reduction elastic piece is arranged between the driving end of the electromagnetic actuator and the pressure relief valve element in a pressed mode. According to the pulsating noise active noise elimination pressure release valve, by arranging the electromagnetic actuator, an active noise elimination technology is introduced into pulsating noise control of the pulsating noise active noise elimination pressure release valve, and the acting force applied to the pressure release valve element can be adjusted through the noise reduction elastic piece; therefore, transient noise caused by pulsating pressure when the pressure relief valve element moves is eliminated.

The invention discloses an audio gender recognition method based on an LSTM architecture neural network, and the method comprises the following steps: 1, carrying out the audio preprocessing, and carrying out the sampling rate conversion, noise elimination and voice segment positioning; 2, feature extraction: extracting features from the audio signal, and taking the features as the input of an LSTM network; 3, constructing and training an LSTM (Long Short Term Memory) model; and 4, gender classification: after model training is completed, performing gender classification on a new audio signal by using the constructed model. The invention aims to overcome the limitation of the prior art and improve the accuracy and adaptability of gender recognition, especially in noise environment and cross-age recognition tasks. By introducing an advanced deep learning technology and an innovative feature engineering strategy, the speaker audio gender recognition method is devoted to promote the development of a speaker audio gender recognition technology, so that the speaker audio gender recognition technology can be applied in a wider range of scenes.

The silencing body comprises a first wall and a second wall which are arranged in a spaced mode, at least one partition plate is connected between the first wall and the second wall so that at least one sound cavity can be formed between the first wall and the second wall, and an opening penetrating through the wall thickness is formed in the part, corresponding to the sound cavity, of one of the first wall and the second wall; when the number of the sound cavities is at least two, the structures and the sizes of all the sound cavities are the same, and all the sound cavities correspond to the preset target frequency, so that the noise elimination body can perform noise elimination and noise reduction on the noise of the target frequency; wherein when the size parameter of the sound cavity is determined, the target frequency of the noise absorbed by the sound cavity is acquired; determining a frequency correction coefficient; obtaining a correction frequency according to the frequency correction coefficient and the target frequency; and designing size parameters of the acoustic cavity according to the correction frequency. The silencing body corresponds to the target frequency to be eliminated, the silencing and noise reduction effect is good, and the silencing body can be modularized easily.

The invention relates to the technical field of vibration and noise reduction of shock tube testing devices in the engineering anti-explosion industry, in particular to a gradient design type shock tube vibration and noise reduction device for engineering. Comprising a shock tube, an injection silencing module and a vibration and noise reduction module. The shock tube is connected with the injection silencing module; the vibration and noise reduction module is connected with the injection noise elimination module; the shock tube, the injection noise elimination module and the vibration and noise reduction module are coaxially arranged. According to the gradient design type shock tube vibration and noise reduction device for engineering, airflow and sound wave propagation paths are optimized through gradient design, so that noise and vibration generated in the working process of the shock tube are effectively reduced, and meanwhile the aerodynamic performance and operation efficiency of the shock tube are kept. The vibration and noise reduction module formed by periodically arranged functional units forms an acoustic black hole structure, compared with a traditional method, the acoustic black hole structure has better acoustic and elastic wave control physical characteristics, the propagation speed of shock waves can be effectively reduced, and reflection at the tail end of a boundary is reduced.

The invention relates to a 60KW energy storage equipment energy-saving ventilation and noise reduction structure capable of being efficiently and rapidly assembled. The 60KW energy storage equipment energy-saving ventilation and noise reduction structure comprises a ventilation static pressure structure, an air inlet noise elimination structure, an air exhaust noise elimination structure, arc-shaped noise elimination blades, an insertion type noise elimination module, an anti-bird net and a rapidly-assembled hanging type hinge structure. The ventilation static pressure structure homogenizes airflow through the static pressure cavity, reduces resistance and improves ventilation efficiency; according to the air inlet and exhaust noise elimination structure, noise is effectively absorbed through trapezoidal noise elimination pieces and arc-shaped noise elimination blades, and comprehensive noise reduction of low-frequency and medium-high-frequency noise is achieved by combining inclined design of the noise elimination pieces with optimization of the punching rate. The plug-in noise elimination module adopts a modular design, so that quick disassembly, assembly and maintenance are facilitated; the anti-bird net enhances the outdoor adaptability of the equipment and prevents small animals from invading. By optimizing the structural design, the device has remarkable advantages in the aspects of reducing equipment noise, improving ventilation efficiency and facilitating maintenance, and is suitable for various scenes such as industrial, commercial energy storage and civil energy storage equipment.

The invention relates to the technical field of aluminum alloy part casting processes, in particular to a multi-parameter collaborative optimization system and method for a new energy aluminum alloy part casting process. According to the technical scheme, the multi-parameter collaborative optimization system for the new energy aluminum alloy part casting process comprises a multivariate heterogeneous data acquisition module, a multi-physics field coupling optimization module, an intelligent execution control module, a virtual-real fusion verification module and a man-machine collaborative decision module; by deploying the melt state monitoring unit, the mold dynamic thermal field sensing unit and the equipment health monitoring unit, all-around and high-precision monitoring of melt, mold and equipment states is realized, and meanwhile, space-time alignment and noise elimination are performed on multi-source data through a Kalman filtering algorithm; and generating a characteristic matrix containing a melt fluidity index, a mold temperature gradient field and an equipment health state, and providing a high-quality data basis for subsequent optimization.

The invention provides a radon gas detection method and device, electronic equipment and a storage medium. The method comprises the following steps: collecting a plurality of first electric signals from electric signals flowing through a comparator according to a preset time interval in a target time range; in response to the received interrupt signal from the comparator, determining a second electric signal corresponding to the occurrence moment of the interrupt signal from the plurality of first electric signals; determining a first noise value according to the plurality of third electric signals; the first range value is compensated according to the first noise value, a second range value is determined, the first range value is used for representing a signal peak range of particles corresponding to radon in a noise elimination state, and the plurality of third electric signals are signals different from the second electric signals in the plurality of first electric signals; determining a fourth electric signal whose signal peak value satisfies a second range value from the second electric signals; and determining the concentration value of the radon gas according to the number of the fourth electric signals. The accuracy of radon gas concentration detection can be improved.

The invention relates to an electrical equipment room environment humidity control method and system based on difference comparison. The method comprises the following steps: acquiring original humidity signal data through a humidity sensing array, and performing noise elimination processing to obtain humidity data; calculating a humidity change rate based on the humidity data, comparing the humidity change rate with a preset threshold value, and evaluating the environmental humidity complexity; establishing an equipment humidity demand evaluation model and generating an equipment humidity demand matrix in combination with the physical position, the humidity demand and the environmental humidity complexity of the electrical equipment; based on the matrix, fusing environment state parameters and equipment operation state parameters, and calculating a target comprehensive humidity value by adopting a dynamic weight distribution method; the deviation between the target comprehensive humidity value and the actual humidity data is calculated through a feedback control algorithm, and a humidity control instruction is generated to drive humidity adjusting equipment to execute operation. According to the method, through multi-dimensional parameter fusion and dynamic weight distribution, the accuracy and adaptability of humidity control in a complex environment are improved.