19results about How to "Reduce interference" patented technology

The invention discloses a time interference double-target electrical stimulation system, which comprises a signal generation unit used for generating multiple paths of carrier signals and adjusting the frequency, amplitude and / or phase of the carrier signals; the current output unit is used for converting the multiple paths of carrier signals into multiple paths of carrier currents, and electrical isolation and intermodulation suppression are provided between the multiple paths of carrier currents; the electrode unit is electrically connected with the current output unit and comprises a plurality of electrodes and a position subunit, the plurality of electrodes are used for receiving the multi-channel carrier current so as to discharge in an attached target area, and the position subunit is used for determining the attaching position of each electrode; and the control unit is used for controlling the discharge of the plurality of electrodes, detecting the impedance and carrier current at the plurality of electrodes to assist the position subunit in determining the fitting position and detecting the frequency and / or phase of the plurality of carrier current to control the signal generation unit to adjust the frequency and / or phase of each path of carrier signal. The system realizes independent stimulation of two target spots in a hardware-level time interference mode, has signal output with high stability and low mutual interference, and can perform real-time feedback regulation and safety protection.

This utility model discloses a circuit board, an antenna device, and an electronic device. The circuit board includes a substrate, a first radiating arm, a second radiating arm, and a first ground layer. The substrate includes a first clearance area and a second clearance area spaced apart along a first direction. The first radiating arm is disposed in the first clearance area and has a first ground portion. The second radiating arm is disposed in the second clearance area and has a second ground portion. The first ground layer is disposed on the substrate and offset from the first and second clearance areas. At least a portion of the first ground layer is disposed between the first and second clearance areas to separate the first and second radiating arms. The first ground layer is grounded to both the first ground portion and the second ground portion. This circuit board can meet the isolation requirements of adjacent antennas, facilitating the integration of the radiating arms of the antenna device onto the circuit board, thereby contributing to the miniaturization of electronic devices.

This invention relates to the field of machine vision inspection technology, specifically a machine vision-based online image detection method for material particle size. The method includes: acquiring a grayscale image sequence of material flow from a conveyor belt; enhancing the image by suppressing background noise; segmenting particle regions and extracting particle contours based on edge information; constructing pseudo-boundaries by combining particle edge curvature changes and local grayscale minimum distribution characteristics; and separating adhered and overlapping particles using an improved connected component analysis algorithm. The method calculates geometric features such as particle projected area and equivalent diameter, determines particle size levels by comparing with grading thresholds, and statistically analyzes the proportion of particles at each size. Finally, it calculates continuous mass flow distribution data by combining the conveyor belt running speed and generates an online detection report. This method effectively solves the problem of particle stacking and segmentation, stabilizes and refines particle recognition accuracy, and achieves integrated real-time detection of material particle size and conveying flow rate, making it suitable for continuous material conveying operations in industrial settings.

The present application relates to the technical field of automobile parts detection, in particular to a kind of automobile air conditioner compressor valve group air tightness detection method, comprising: acquisition is detected valve group multiple detection cycle in original air tightness detection data set collected by intelligent sensing system, data set includes pressure decay sequence, leakage acoustic wave sequence and mounting seat vibration sequence.Pressure decay sequence extracts pressure leakage feature vector, and acoustic fingerprint feature vector is obtained by analyzing leakage acoustic wave sequence.Improved nearest neighbor classification algorithm with feature dimension weighted distance measurement is used to determine sample similarity, two types of feature vectors are classified jointly, and leakage mode classification result is output.Air tightness detection conclusion is generated in combination with classification result and vibration sequence.The method can accurately determine the leakage condition of the valve group and locate the specific position of the leaking valve piece, improve the detection dimension and fault positioning accuracy, and adapt to the fine air tightness detection application of the valve group.

An access node transmits, in a downlink signal having a series of subframes, a beam-formed reference signal in subframes, where the beam-formed reference signals are transmitted in fewer than all of the subframes of the downlink signal. A first subset includes beam-formed reference signals corresponding to a first frequency or first localized range of frequencies, and a second subset includes beam-formed reference signals corresponding to a second frequency or second localized range of frequencies. The second frequency or second localized range of frequencies is spaced apart from and differing from the first frequency or first localized range of frequencies. A user equipment, UE, receives, in the downlink signal, the beam-formed reference signal in each of a plurality of subframes. The UE performs mobility management measurements using at least the first subset of the received beam-formed reference signals and performs RLM using the second subset of the received beam-formed reference signals.

The application discloses an English letter recognition method and device based on machine vision and a medium, relates to the technical field of image recognition, and comprises the following steps: collecting an original image, performing grayscale and denoising processing to obtain a denoised grayscale image, correcting the denoised grayscale image and performing binaryzation processing, delimiting a connected domain, and obtaining a binary letter image; performing iterative pruning on the binary letter image, setting nodes and edges, summarizing a skeleton graph structure, calculating the path length of the edges and the curvature and bifurcation degree of the nodes, and labeling the skeleton graph structure to obtain a skeleton graph structure with topological filtering labels; setting a topological complex according to the skeleton graph structure with topological filtering labels, constructing the input of a graph neural network model, and completing the training of the graph neural network model; and inputting a node feature matrix into the graph neural network model to obtain a letter recognition result. Through the training of the graph neural network model, the recognition accuracy of complex, careless or deformed letters is improved.

The application discloses a crop environment quantitative evaluation and decision system based on growth stage self-adaptation and relates to the technical field of agricultural wisdom decision-making.The data acquisition module collects original environmental data sequences of multiple types of sensors in the field;the dynamic identification module analyzes the sequences by using a preset crop growth stage identification model, identifies the current growth stage, and outputs a corresponding key environmental parameter weight template;the feature fusion module fuses the original data according to the template to generate a stage-adaptive environmental feature vector;the state evaluation module converts the vector into a growth state quantitative evaluation value through a growth state evaluation model;and the decision trigger judgment module compares the preset dynamic threshold interval corresponding to the growth stage according to the growth state quantitative evaluation value, and generates a decision trigger instruction when the growth state quantitative evaluation value deviates.The application realizes stage self-adaptive intelligence of crop growth monitoring and decision-making, and improves the accuracy of environmental state evaluation and the timeliness of management decision-making.

This invention discloses a creatine kinase detection kit that counteracts lipemia interference and its preparation method. The kit includes reagent R1 and reagent R2; reagent R1 includes: purified water, imidazole, MgAC, and EDTA Na. 2 Glucose, PC300, Na 2 SO 3 N-acetylcysteine, NADP, AMP, ADP, AP5A, HK, and surfactant; reagent R2 includes: pure water, Capso, creatine phosphate, PEG6000, and NaN. 3 The kit contains BSA and G6PDH. The surfactant is one or a combination of two of Triton 100 and Tween 80. Through the synergistic effect of PEG6000 and the two surfactants Triton 100 and Tween 80, the creatine kinase detection kit significantly improves its resistance to lipemia interference and enhances its detection accuracy. The kit is simple to prepare, has strong resistance to lipemia interference, simple components, and low preparation cost, making it highly promising for market application.

This invention discloses a uniformly distributed radiation energy structure for a millimeter-wave antenna, comprising a transmitting array antenna and / or a receiving array antenna composed of at least one comb-shaped antenna assembly; the comb-shaped antenna assembly includes an elongated antenna body and a microstrip line radiating assembly, one end of the antenna body being connectable to a millimeter-wave circuit capable of generating millimeter waves, and the microstrip line radiating assembly comprising multiple intermediate microstrip line radiating elements spaced apart in the middle section of the antenna body, and an end microstrip line radiating element located at the tail end of the antenna body, wherein the area of ​​the intermediate microstrip line radiating elements gradually increases from one end close to the millimeter-wave circuit toward the other end, so that the distribution of the radiated energy of each intermediate microstrip line radiating element approaches an average.

This invention discloses an intelligent control system for the gradient deployment of cooling tower fans under dynamic greenhouse demand. The system includes a multi-source data acquisition unit for collecting operational data from the greenhouse side and the cooling loop side. The operational data includes greenhouse internal temperature, greenhouse internal humidity, leaf surface temperature, light intensity, supplemental lighting equipment operation status, spraying or atomization status, ventilation execution status, circulating water flow rate, return water temperature, and environmental meteorological parameters. This invention relates to the field of greenhouse environmental control technology. This intelligent control system for the gradient deployment of cooling tower fans under dynamic greenhouse demand dynamically calculates the greenhouse's heat and humidity load requirements based on environmental data and a load propagation chain model. This ensures that the cooling tower system can flexibly adjust fan deployment according to changes in demand, thereby achieving precise cooling. Through fan candidate screening, benefit-cost calculation, and marginal net benefit analysis, the system can intelligently select the most suitable fan for deployment, avoiding energy waste.

The utility model relates to a stray current eliminating device for a gas pipeline. The stray current eliminating device comprises a cathode protection system arranged at a gas gate station and a sacrificial anode buried at a set distance of a gas pipeline section, wherein a diode is connected in series between the sacrificial anode and the gas pipeline to serve as a polar electric drainage device, and only one-way circulation of current from the gas pipeline to the sacrificial anode to the soil is allowed. Compared with the prior art, the subway stray current around the gas pipeline can be better eliminated, and the corrosion risk of the gas pipeline is reduced.

The invention relates to modified ammonium polyphosphate as well as a preparation method and application thereof, belongs to the technical field of fire extinguishing products, and is used for solving at least one of the problems that the flame-retardant efficiency of ammonium polyphosphate prepared by the existing method is reduced, the cost is high, long-acting anti-caking cannot be realized, the solubility is poor and the like. The modified ammonium polyphosphate is prepared by coating ammonium polyphosphate with a macromolecular silane coupling agent, and after APP is coated with the macromolecular silane coupling agent, the caking rate is reduced, and the dissolving capacity is not affected. The hydrophobic chain segment in the macromolecular silane coupling agent synthesized by the invention is longer than that of monomolecular silane, so that the infiltration of small water drops on the surface of APP can be reduced, and the macromolecular silane coupling agent has a better hydrophobic effect; and a longer hydrophobic chain segment has an interference effect on the formation of a crystal bridge, so that the strength of the formed crystal bridge is reduced, and the caking of the APP powder is more easily damaged. The dissolving capacity is improved, the combination of the macromolecular silane coupling agent and the APP powder is only limited to the combination site of the macromolecular silane coupling agent and the APP powder, dispersion in the APP powder is more uniform, and the dissolving capacity is improved.

The application discloses a signal transmission method, device, terminal and storage medium, and belongs to the communication field. The signal transmission method of the application embodiment comprises the following steps: performing encoding processing on to-be-transmitted bit data to obtain a modulation signal corresponding to the to-be-transmitted bit data; writing the modulation signal into a first resource domain constructed by a Doppler dimension and a frequency dimension to obtain a modulation signal in the first resource domain; transforming the modulation signal in the first resource domain to a second resource domain constructed by a time dimension and a frequency dimension to obtain a modulation signal in the second resource domain; and determining a transmittable signal of the to-be-transmitted bit data based on the modulation signal in the second resource domain.

The application belongs to the technical field of simultaneous localization and mapping, and specifically discloses a robot algorithm for depth constraint in a dynamic scene, which comprises the following steps: step S1, collecting image information and performing complete segmentation on dynamic objects by using an image segmentation network; step S2, analyzing the motion state of the objects by a depth constraint method, and removing the accurately recognized dynamic regions; and step S3, using a time domain bidirectional pixel point cloud background repair model, utilizing static information in adjacent previous and subsequent frames to complete the repair of the background static key frame where the dynamic objects are located, construct a complete point cloud map, and calculate the pose. p The application solves the technical problems in the prior art that it is difficult to accurately segment potential dynamic objects in a dynamic scene, there are limitations and deviations in judging the dynamic objects, the dynamic objects cannot be accurately removed, and thus the self pose cannot be accurately estimated.

The application provides a multi-model integration method and device based on a synergistic contribution rate, equipment and a medium. The method comprises the following steps: obtaining a verification sample set comprising a plurality of verification samples and a multi-model set comprising a plurality of base models, and generating a plurality of first classification results by traversing the verification sample set; obtaining a plurality of comparison results based on the true label of any verification sample and all the first classification results, and assigning a contribution rate value to each base model based on all the comparison results; generating a synergistic contribution rate based on any base model and all the contribution rate values corresponding to the base model; obtaining a positive score and a negative score of a target model based on a target sample and all the synergistic contribution rates, and determining the target sample based on the positive score and the negative score. According to the technical scheme of the embodiment of the application, the fusion weights of the base models can be quantified by the synergistic contribution rate, so that the overall performance and efficiency of the multi-model integration are improved.

The application discloses an asset ledger intelligent checking method based on a learnable fuzzy measure, which comprises the following steps: collecting asset ledger field information and performing standardized and vectorized representation to obtain ledger field vectors; constructing a learnable fuzzy measure to give a capacity parameter to any field subset; based on the capacity parameter, realizing the differentiable calculation of the Suhov integral by using the Lovasz extension to obtain the similarity of candidate asset pairs; constructing a contrast learning objective function with the similarity as the only measure to generate positive sample pairs and difficult negative sample pairs respectively; performing monotone projection and interactive sparse regularization in the training process to obtain an optimized similarity matrix; and outputting checking differences and generating processing suggestions. The application realizes the differentiable integral by using the learnable fuzzy measure and the Lovasz extension to complete field soft matching and anomaly recognition, thereby improving the checking accuracy and the intelligent level.

This invention relates to the field of power generation equipment technology, and more particularly to a vibration monitoring device for marine generator sets. The device includes a mounting plate connected to the generator set to receive vibrations; a housing comprising a support frame and a circuit box, the support frame being mounted on the mounting plate and the circuit box being housed within the support frame; a vibration monitoring mechanism including a vibration receiving component and a vibration monitoring component, the vibration receiving component being mounted on the support frame and connected to the mounting plate, and the vibration monitoring component monitoring the vibration receiving component to obtain vibration frequency and amplitude; and multiple sets of protective mechanisms spaced circumferentially along the support frame and located between the support frame and the mounting plate, for protecting the housing. This invention effectively protects the housing, reduces the impact of debris on the housing, and ensures monitoring accuracy.

This invention relates to the field of building construction technology, specifically to a connection node and method between a steel column and a frame concrete column. The connection node includes a concrete column with embedded reinforcing bars inside. A steel column is located outside the concrete column, and the steel column includes a second straight steel pipe section. Evenly distributed fastening modules are installed through the second straight steel pipe section, with the portion of the fastening modules located inside the second straight steel pipe section embedded within the concrete column. The fastening modules enhance the connection strength between the steel column and the concrete column. During construction, the nail heads and shanks in the fastening modules are pulled outwards, allowing the nail heads to fit against the inner wall of the second straight steel pipe section. This reduces collision interference between the embedded reinforcing bars and the fastening modules when the steel column covers the embedded reinforcing bars. The cooperation between the internally threaded sleeve and the threaded rod facilitates the fixing of the nail heads and shanks to the second straight steel pipe section, eliminating the need for welding the shanks from inside the second straight steel pipe section.

This invention relates to the field of small-scale induced charge measurement technology, and discloses a system for measuring induced charges at the micro- and nano-scale. The system includes: a shielded box with transparent observation windows on its front, back, sides, and top, made of a conductive transparent material; an electrometer connected to a probe and communicating with a host computer, the probe being fixed inside the shielded box and positioned near its left side, with a moving channel on the right side; and a sample stage for holding the sample, connected to an electric differential platform assembly. The electric differential platform assembly adjusts the position of the sample stage, moving it closer to or further away from the probe along the moving channel. This invention allows for real-time observation and confirmation of the positions of the sample and probe through the transparent observation windows, thereby improving the positioning accuracy of the sample and probe. It also mitigates external environmental interference, avoids vibration interference, and maintains the overall temperature, humidity, and environmental stability of the system.