30 results about "Signal Sensitivity" patented technology

The invention discloses a high-precision wide-range expiration detection device and method, which is applied to the technical field of expiration detection, and comprises an expiration sampling unit used for collecting an expiration sample; the gas analysis unit consists of a three-way valve, an analysis pump, an electrochemical sensor module and a filter; the control and calculation unit is used for controlling the three-way valve to perform quick switching of closing and opening according to the size of the real-time output signal when the ratio of the output signal to the saturation signal is greater than a preset threshold value, so that the expiration sample is mixed with the zero-point gas filtered by the filter before entering the electrochemical sensor module; the gas concentration in the expiration sample is calculated according to the proportion of the output signal, the sensitivity and the closing time of the three-way valve; the double clinical requirements for high precision and wide range of expiration detection are met.

The invention relates to the technical field of power system automation, and particularly discloses a power network fault early warning method based on a large model, and the method comprises the steps: directly mapping the data of a high-frequency power sensor into a time sequence soft prompt vector which can be understood by the large model through a lightweight encoder and a linear projection technology; deep alignment of continuous signals and discrete semantics is realized, and information loss and efficiency bottleneck caused by numerical textualization are avoided. And then, directionally retrieving an operation and maintenance knowledge base by using the soft prompt vector, introducing a cross-modal affinity matrix to construct a semantic gating mechanism, dynamically screening and enhancing retrieved key knowledge fragments according to real-time waveform characteristics, and automatically inhibiting redundant text noise irrelevant to the current working condition. And finally, deep attention interaction and reasoning are performed on a composite sequence formed by an instruction, enhanced knowledge and soft prompt through a large model, a control signal containing fault classification and disposal suggestions is output, and real-time accurate early warning considering high-frequency signal sensitivity and expert knowledge logicality is realized.

The application relates to the technical field of intelligent traffic control, and discloses a traffic signal lamp strategy dynamic regulation and control method based on space-time dimensions. The method captures multi-dimensional feature data of traffic flow, fuses weather and road topological information, constructs a dynamic traffic state tensor, carries out multi-scale space-time feature extraction on the tensor, generates a space-time mode atlas, analyzes the interaction strength between different traffic units based on the atlas through a graph neural network, divides a cooperative evolution area and a conflict frequent area, outputs a regional interaction label set, integrates signal lamp historical data and real-time delay, calculates a sensitivity coefficient of flow fluctuation on signal timing, forms a signal sensitivity analysis report, extracts conflict frequent area nodes with sensitivity exceeding an adaptive threshold, constructs a key interference node set, combines the space-time features of the set, uses a risk propagation model to evaluate a chain reaction probability, and generates a traffic signal optimization scheme containing a signal parameter optimization strategy and an emergency regulation and control instruction.

This application provides a radio frequency (RF) system and electronic equipment. The RF system includes an RF transceiver module, an RF front-end module, at least one antenna radiator, and at least one first low-noise amplifier module. The RF front-end module includes at least one transmit path and at least one receive path. One end of the transmit path is electrically connected to the RF transceiver module, and one end of the receive path is electrically connected to the RF transceiver module. The first low-noise amplifier module is connected between the antenna radiator and the receive path. When the first low-noise amplifier module is in a first operating state, it is conductive between the antenna radiator and the receive path. When the first low-noise amplifier module is in a first bypass state, it is short-circuited between the antenna radiator and the receive path. In the first operating state, by placing the first low-noise amplifier module close to the antenna radiator, the noise figure is reduced, and the signal sensitivity of the receive path is improved.

The invention provides a skeleton structure and a shell structure of a three-coil induction type oil chip sensor. The skeleton structure comprises a skeleton body and a shell body, the framework body is provided with a plurality of wiring channels, and the wiring channels are symmetrically distributed on the framework body and used for copper wires to penetrate out and be connected to an electric connector when the copper wires are wound. The shell body is provided with a fixed wire path matched with the wiring channel of the framework body, one end of the fixed wire path corresponds to the wiring channel of the framework body, and the other end of the fixed wire path is communicated to the wiring bin and used for fixing the wire wiring path to prevent the wire from passing through the induction area. And the wiring bin is used for connecting the lead which penetrates out with the sensor excitation circuit and the signal processing circuit through an aviation plug. According to the sensor, the plurality of wiring channels are formed in the framework and the shell, and the copper wire winding process is more tidy and symmetrical through the reasonable winding design, so that the signal quality of the sensor is effectively improved, and the signal sensitivity and stability are improved.

The utility model provides a high-gain high-sensitivity photon wireless signal transmitting and receiving shared device. The high-gain high-sensitivity photon wireless signal transmitting and receiving shared device comprises a metal shell, a silicon lens, a PCB circuit board, an optical fiber module, a PIN-PD integrated antenna chip, a planar antenna, a horn antenna and the like, wherein the silicon lens, the PCB circuit board, the optical fiber module, the PIN-PD integrated antenna chip and the planar antenna are fixed in the metal shell; the high-gain high-sensitivity photon wireless signal transmitting and receiving common device provided by the embodiment of the utility model not only can be used as a photon wireless signal receiving device, but also can be used as a photon wireless signal transmitting device; in addition, the photon wireless signal transmitting and receiving sharing device provided by the embodiment of the utility model can achieve the effects of improving the signal transmitting power and improving the signal receiving sensitivity. In addition, the purpose of continuously adjusting the transmitting frequency can be achieved.

The invention discloses a new energy motor shaft detection device which comprises a positioning mechanism, a driving mechanism and a detection mechanism. The positioning mechanism is used for fixing a to-be-tested motor shaft, and the driving mechanism drives the motor shaft to rotate. The detection mechanism comprises a signal transmitting assembly and a signal receiving assembly. One end of a signal lever of the signal transmitting assembly is provided with a signal transmitting unit, the other end is a contact end in contact with the shaft surface, and the lever structure amplifies infinitesimal displacement of the contact end into angular deflection of the transmitting unit. A receiving tube of the signal receiving assembly is internally provided with a multi-corner signal transmission channel, and each corner is provided with a signal receiving and reflecting unit with a reflecting layer and a sensor. When a defect exists on the surface of the shaft, displacement of the contact end causes change of the angle of the emitted light beam, so that the light beam is off-target in the channel, and signals received by one or more sensors are changed. Continuous deformation is converted into discrete optical path signals, and the method is high in sensitivity, visual in judgment, high in interference resistance and suitable for online rapid detection and sorting.

The invention discloses a near-bit electromagnetic wave receiving structure based on a modular magnetic core antenna array, and belongs to the technical field of coal mine drilling measurement while drilling. Comprising a drill collar, a modular antenna unit and a signal processing circuit, an annular mounting groove is formed in the outer wall of the drill collar, and the multiple modular antenna units are distributed in the annular mounting groove in a circular array mode to jointly form a distributed receiving antenna array; and the signal processing circuit is arranged in the drill collar, is connected with the distributed receiving antenna array through a main interface, and is used for carrying out amplification, synthesis and noise suppression processing on array signals, so that the received signal-to-noise ratio is improved. The antenna is decomposed into a plurality of independent modular antenna units which are distributed in the annular mounting groove of the drill collar in a circular array mode, distributed array receiving is achieved, the units can be rapidly replaced, assembling is convenient, signal sensitivity is high, and the antenna is suitable for drilling of complex coal seams.

The invention provides a wireless receiving control circuit and signal transmission equipment. The wireless receiving control circuit comprises a signal amplification unit and a second resistor, the signal amplification unit is used for acquiring a wireless input signal, and a first resistor is arranged on the signal amplification unit; in a remote transmission state, the second resistor and the first resistor are connected in parallel, so that the signal amplification unit outputs a first amplification signal; in a short-range transmission state, the second resistor is disconnected with the first resistor, so that the signal amplification unit outputs a second amplification signal; the signal value of the first amplified signal is greater than that of the second amplified signal; by adjusting whether the second resistor is connected to the first resistor or not, the signal amplification unit outputs the first amplification signal and the second amplification signal with different signal values, the sensitivity of the output signal of the wireless receiving control circuit can be adjusted, signal transmission in different scenes can be adapted, and the signal transmission efficiency is improved. Therefore, the signal interference disorder is reduced.

This application discloses a bone conduction sensor and an electronic device. The bone conduction sensor includes: a first carrier plate with an electrical connector disposed on its lower surface, the electrical connector being configured to connect to an external device; a second carrier plate disposed above the first carrier plate, forming a vibration cavity together with the first carrier plate; a housing disposed above the second carrier plate, forming a microphone cavity together with the second carrier plate; a vibration system disposed within the vibration cavity; and a microphone assembly disposed within the microphone cavity. The bone conduction sensor of this application has a vibration system closer to the vibration source, enabling better sensing of vibration signals and higher sensitivity. Furthermore, the vibration system is disposed within the vibration cavity formed by the first and second carrier plates, allowing these components to be integrated into a subsystem, thereby simplifying the manufacturing process and improving reliability.

The invention discloses a shot blasting mass flow high-precision on-line monitoring device and a monitoring method thereof.The device comprises double spiral electrodes and double annular electrodes which are coaxially installed, the double annular electrodes are arranged in the axial direction of a pipeline at intervals, and the particle flow speed is calculated through a cross-correlation algorithm; the double-helix electrode adopts a coaxial reverse winding structure, and the RMS value of the particle charge quantity is obtained through signal summation and average processing, so that the shot blasting concentration is inverted. According to the invention, the time domain cross-correlation speed measurement of the annular electrode and the signal amplitude statistical measurement concentration of the spiral electrode are creatively combined, and the influence of the environment humidity is compensated through the dynamic calibration model, so that the high-precision online measurement of the shot blasting mass flow is realized. Besides, the coaxial winding design of the spiral electrodes avoids monitoring errors caused by non-uniform distribution of particles in the pipeline, signal sensitivity is enhanced, the embedded humidity sensor provides real-time environment compensation, and the device is suitable for high-speed industrial shot blasting monitoring.

This invention discloses a method and system for calculating the sensitivity of an electromagnetic environment monitoring system based on link configuration in low-temperature environments, belonging to the field of electromagnetic environment monitoring technology. The method includes: determining the monitoring scenario and link configuration of the electromagnetic environment monitoring system, and selecting a calculation method based on the determined monitoring scenario and link configuration; collecting parameters of each component of the electromagnetic environment monitoring system; if the monitoring scenario is an extreme environment, determining the correction coefficient kt corresponding to the ambient temperature and the actual operating temperature of each component of the electromagnetic environment monitoring system; and calculating the sensitivity of the electromagnetic environment monitoring system using the selected calculation method, the component parameters, the correction coefficient kt, and the actual operating temperature. This invention solves the problem that existing calculation methods do not distinguish between signal sensitivity and noise sensitivity calculation scenarios, leading to insufficient monitoring accuracy in special fields.

The embodiment of the application provides a communication system, a communication method and a computer storage medium, the communication system comprises at least two millimeter wave communication units, one of the millimeter wave communication units is a reference millimeter wave communication unit, a frequency synchronization channel is established between the reference millimeter wave communication unit and each of the other millimeter wave communication units, and the reference millimeter wave communication unit transmits a reference frequency to each of the other millimeter wave communication units through the frequency synchronization channel; each of the millimeter wave communication units demodulates the received millimeter wave signal through a corresponding radio frequency module based on the reference frequency, so that the frequency difference intermodulation caused by the reverse leakage is eliminated, the situation that the received millimeter wave signal cannot be correctly demodulated due to the frequency difference intermodulation is avoided, and then the signal frequency stability is improved, and the received signal sensitivity is improved.

The application relates to the technical field of intelligent robot skin, in particular to a matrix type film pressure sensor array structure for robot skin, which comprises a flexible silica gel base body, a 32*32 film pressure sensor unit array, a partitioned analog-digital conversion module, an FPGA and an embedded MCU, and three types of local feedback execution units. The structure enhances signal sensitivity through thickness gradient design, realizes tactile recognition and multi-modal feedback closed loop in combination with a local neural network, supports magnetic attraction splicing and modular expansion. The application can realize high-density tactile perception, low-delay response and vision-independent human-machine safety interaction.

A slot antenna configuration is described for a wireless device. The wireless device includes a plurality of electronic components for sending and receiving signals to and from other devices. The antenna configuration is specifically designed to minimize radio-frequency desensitization resulting from electromagnetic interference generated by the plurality of electronic components within the wireless device. The antenna configuration has a primary slot comprising a plurality of linear slot sections, a ground plane, and a conductive metal trace. The antenna slot is configured to send and receive signals in a selected frequency range common among wireless devices. The antenna configuration significantly increases sensitivity to signals while maintaining performance in other areas.

The application discloses a dynamic sealing sample cell for a laser ablation system, which comprises a sample cell, a sample cell shell, a collection cup, an air inlet, an air outlet, a sample support and a sample cell base; the air inlet and the air outlet are arranged on the sample cell shell, and the sample support is arranged on the sample cell base; the collection cup is connected with the air outlet and fixed in the interior of the sample cell shell; the sample cell shell is a cover shell with an open lower end, the upper surface of the sample cell base is a smooth plane, and the lower end of the sample cell shell and the upper surface of the sample cell base are in slidable sealing contact. In addition to the sample, the collection cup and the small sample support lifting platform, no other articles exist, so that the influence of external pollution on the detection quality is greatly avoided, and the good sealing property reduces the uneven air flow distribution caused by the position effect in the sample cell, so that the detection signal sensitivity and stability are improved.

The application discloses a kind of based on deep learning battery cell fault identification method and device, it is related to fault identification technical field.The method comprises: obtaining the battery cell in the running process of the to-be-identified multi-source monitoring data, and extracting the to-be-identified multi-source monitoring feature of the to-be-identified multi-source monitoring data;The to-be-identified multi-source monitoring feature is input into the battery cell fault identification model based on deep learning algorithm construction, carries out battery cell fault identification, obtains the fault probability vector of battery cell fault;According to the fault probability threshold of each fault category, the fault probability vector is disassembled, and the fault identification result of battery cell is obtained, and corresponding alarm signal is sent.The problems that the prior art exists that information dimension is single, fault signal sensitivity is insufficient and the identification ability for complex fault mode is limited are solved.

An antenna device according to an embodiment of the present invention includes a dielectric layer and an antenna unit disposed on a top surface of the dielectric layer. The antenna unit includes a mesh structure. The mesh structure of the antenna unit includes unit cells that are repeatedly arranged, and diagonal lines of each unit cell are inclined with respect to a width direction or a length direction of the antenna device. The antenna device having reduced pattern visibility and having improved transmittance and signal sensitivity is provided.

The embodiment of the invention provides a touch signal detection circuit, a touch signal detection method and a touch position positioning method, and the touch signal detection circuit comprises an interference detection module, a touch detection module, a current copying module and signal channels corresponding to sensing units. The interference detection module is connected with the reference signal channel and is used for carrying out current detection on the reference signal channel to obtain interference current; the input end of the current copying module is connected with the interference detection module, the output end of the current copying module is connected with the touch detection module, the current copying module is used for copying interference current and injecting copied current obtained through copying into the touch detection module, and the direction of the copied current is opposite to that of the interference current; and the touch detection module is also connected with other signal channels except the reference signal channel and is used for carrying out touch signal detection on the connected signal channels. Active compensation of display interference is achieved, the anti-interference capacity and the signal sensitivity are both considered, and high-reliability and high-precision touch interaction experience is achieved.

The purpose of this invention is to provide a method and apparatus for linear block code redundancy transmission. The method includes: setting the [n,k] values ​​of the linear block code, where n is the total number of codes and k is the number of baseband information codes; generating n groups of block codes; and filtering the n groups of block codes through program debugging to determine 2... k A block code with weak cross-correlation and strong autocorrelation is used to generate input information; the input information is modulated, transmitted, demodulated, and decoded to generate output information. The apparatus for linear block code redundancy transmission includes a transmitter and a receiver; the transmitter is equipped with an encoder and a modulator; the encoder includes a block code generator, a filtering module, and an information output module; the receiver is equipped with a demodulator and a decoder. This method and apparatus for linear block code redundancy transmission is simple to apply and can improve signal sensitivity.

The invention belongs to the technical field of radomes, and particularly relates to a high-frequency broadband low-loss radome and a preparation method thereof.The radome is formed by sequentially compounding an outer skin, a sandwich, an inner skin and a surface protection layer, and the radome meets the requirements that within the frequency band of 7-10 GHz, the vertical incidence loss is smaller than or equal to 0.15 dB, and the 60-degree oblique incidence loss is smaller than or equal to 0.38 dB; and the outer skin is made of quartz fiber epoxy prepreg or quartz fiber cyanate ester prepreg, and adopts a [0 degree / 90 degree / 0 degree] three-dimensional interwoven layer design. The vertical incidence loss of the radome is less than or equal to 0.15 dB in the frequency band of 7GHz-10GHz, the inclined incidence 60-degree loss is less than or equal to 0.38 dB, and the loss is reduced by more than 30% compared with that of a traditional glass fiber reinforced material or foam sandwich structure scheme. Collaborative optimization of electromagnetic performance and mechanical performance is achieved through differential layering design of gradient skin, high-frequency signal transmission efficiency is ensured, and the strict requirements of communication satellites, radar systems and the like for signal sensitivity are met.

It is not optimal to apply analog compute-in-memory circuitry (ACiM) for all layers of a neural network or to apply digital compute-in-memory (DCiM) circuitry for all layers of the neural network, due to the tradeoff between efficiency and precision. To address this challenge, a layer-wise offloading strategy can selectively execute neural network layers using either DCiM circuitry or ACIM circuitry based on signal and statistical sensitivity conditions. The approach leverages a combined heuristic, incorporating both the number of input channels meeting a signal sensitivity criterion and the statistical properties of the weight distribution meeting a statistical sensitivity criterion. Layers are allocated to DCiM when both conditions are satisfied, while layers are allocated to ACIM if either or both conditions are not met. The approach optimizes computational efficiency by dynamically assigning resources according to input characteristics and distributional metrics.

The invention belongs to the technical field of environmental monitoring, and relates to a disinfectant sampling data processing method and system. The method comprises the following steps: collecting multi-dimensional environment characteristic data of a sampling point, and carrying out time axis alignment and moving average filtering processing on the multi-dimensional environment characteristic data; based on the hydrophilic activation characteristic of humidity and the accumulation saturation characteristic of dust, constructing a wet-dust coupling impedance index for representing the blocking degree of the sensor gas-permeable membrane; performing dual inversion on the original signal by using the impedance index, removing drift noise through non-negative constraint, and compensating the attenuated signal sensitivity through a dynamic compensation factor to obtain the real concentration; and smoothing and outputting the inversion result. According to the invention, the problem of sensitivity attenuation of the sensor under the condition that the breathable film is blocked is effectively solved, and accurate reduction and stable monitoring of the real disinfectant concentration under the severe working condition of a farm are realized.

A light source transmitting end and a signal receiving end are respectively arranged at the focal points of a first convex lens and a second convex lens, and an emitted light source is emitted outwards parallel to an optical axis when penetrating through the first convex lens, so that signal intensity reduction caused by light divergence is avoided; the signal receiving end can receive more signals focused by the second convex lens, so that the signal sensitivity of the signal receiving end is improved, the capability of capturing weak signals is enhanced, the probability of missing report caused by insufficient light convergence is reduced, and the detection accuracy of the smoke fire detector is integrally improved; the step surface and the clamping structure are arranged at the lens barrel, so that the first convex lens and the second convex lens can be quickly and stably fixed and quickly mounted, and the problem that the light source transmitting end and the signal receiving end cannot be accurately positioned at the focal points of the first convex lens and the second convex lens due to position deviation of the first convex lens and the second convex lens is avoided.

Systems and methods for processing sensor data and end of life detection are provided. In some embodiments, a method for determining the end of life of a continuous analyte sensor includes evaluating a plurality of risk factors using an end of life function to determine an end of life status of the sensor and providing an output related to the end of life status of the sensor. The plurality of risk factors may be selected from the list including the number of days the sensor has been in use, whether there has been a decrease in signal sensitivity, whether there is a predetermined noise pattern, whether there is a predetermined oxygen concentration pattern, and error between reference BG values and EGV sensor values.

The invention discloses a locomotive signal sensitivity rapid test method, and belongs to the field of train operation control equipment detection and maintenance. The problem that an existing method cannot improve the low test efficiency of an existing dichotomy on the premise that the test coverage rate and precision are guaranteed is solved. The method comprises the steps that a test system is initialized, a test sequence is loaded, and the test sequence comprises a plurality of test item points; executing the following operations on each test item point: judging whether the current test item point is the first item point in the sequence or not, or judging whether the carrier frequency of the current test item point is different from the carrier frequency of the previous test item point or not; if yes, executing a benchmark test process on the current test item point to determine a sensitivity value of the current test item point, and recording the sensitivity value and carrier frequency of the test item point; if not, executing a stepping voltage fine tuning test process on the current test item point to determine the sensitivity value of the test item point, and updating the recorded sensitivity value; and repeating the process until all the test item points are tested. The method is used in train operation control field.

This utility model relates to the field of sensor installation technology, specifically a dust cover for a human body microwave presence sensor. It includes a mounting plate and a housing. The front side of the mounting plate has several interlocking plates arranged in a star-shaped pattern. A fixing hole is provided at the center of each interlocking plate. A connecting bracket is inserted into the front side of the mounting plate. A through hole is formed on the front surface of the housing. A baffle, shaped like a frustum, is installed inside the housing, forming a pre-reserved cavity between the baffle and the housing. This dust cover for a human body microwave presence sensor uses a connecting bracket to fix the housing to the mounting plate, reducing obstruction of the front of the housing and simplifying disassembly. The sensor is installed inside the baffle, with its bottom secured in a limiting groove, minimizing contact between the sensor and the inner wall of the baffle. The overall arc shape of the baffle's interior reduces signal reflection interference and maintains the sensor's signal sensitivity.

The application provides a water pipe network leakage monitoring point layout optimization method. The method comprises the following steps: (1) obtaining pipe network information; (2) carrying out digital pretreatment on the pipe network information; (3) carrying out initial layout on the monitoring points; (4) determining the optimal number of monitoring points; and (5) obtaining the optimal layout of the monitoring points. The application fully utilizes the propagation characteristics and attenuation characteristics of fluid wave signals, establishes a calculation model of signal amplitude and fluid wave signal propagation distance, realizes quantitative evaluation of the attenuation of fluid wave signals of the leakage points, and sets the shortest interval between the monitoring points according to the evaluation, and the reliability of the result is high. The application combines the leakage monitoring point layout optimization and the fluid wave characteristics, and has the characteristics of high acoustic signal sensitivity, small error, wide detection range and the advancement of the genetic algorithm.

The invention provides a base station wireless signal transmission method, device and equipment based on an SDR framework, and relates to the technical field of signal transmission. Comprising the following steps: when it is determined that an abnormal data point exists in a received wireless signal, carrying out feature extraction on the abnormal data point to obtain an abnormal signal feature; evaluating the link quality based on the abnormal signal characteristics, and optimizing the link configuration according to the link quality to obtain the optimized link configuration; carrying out encryption processing on the transmission data based on the optimized link configuration to obtain a privacy enhancement signal; determining a bandwidth use state of the link based on the privacy enhancement signal, and updating a link load state according to the bandwidth use state of the link to obtain a load balance adjustment result; and adjusting a link output rate and a signal amplitude based on a load balancing adjustment result and a real-time transmission packet loss rate, and performing real-time adjustment on signal sensitivity and threshold parameters of a receiving node. According to the invention, the adaptability and stability of data transmission can be improved.

The invention belongs to the technical field of ground wire monitoring, and particularly relates to an anti-interference and data visualization method and system for an automatic ground wire assembling and disassembling robot. The method comprises the steps that a layered shielding structure is designed to suppress electromagnetic interference, the inner layer absorbs a low-frequency magnetic field, the middle layer reflects power frequency harmonic waves, and the outer layer is totally closed for shielding; a radio frequency circuit link is optimized, and signal sensitivity and transmitting power are improved through multi-stage filtering amplification; and the configuration data visualization module displays the operation parameters in real time. The system integrates layered shielding, a high-performance antenna, a radio frequency circuit, a data visualization module and a main control module, and realizes integration of anti-interference protection and data monitoring. According to the invention, the communication stability is guaranteed through the multi-stage anti-interference design, the operation controllability is improved through real-time data visualization, the method is suitable for the complex working condition of a transformer substation, the safety risk is effectively reduced, and the reliability and normalization of the grounding operation are improved.