2518 results about "Detector" patented technology

The invention provides a partial discharge on-line monitoring method and system based on multi-modal fusion and adaptive noise reduction, and the method comprises the steps: employing an ultrahigh frequency UHF sensor, a miniature ultrasonic sensor, and a miniature detector for gas dissolved in oil, which are disposed on a transformer; synchronously acquiring electric signals, sound signals and characteristic gas concentration data in oil generated in the partial discharge process; performing format unification, abnormal value elimination and time alignment processing on the electric signal, the sound signal and the gas concentration data in an edge calculation unit to obtain aligned multi-source original data; performing adaptive wavelet noise reduction processing on the electric signal to obtain a de-noised UHF signal; respectively extracting time domain, frequency domain and chemical features from the de-noised UHF signal, the aligned sound signal and the gas concentration data to form a multi-dimensional feature vector; and inputting the multi-dimensional feature vector into a pre-trained defect traceability model, and outputting a partial discharge defect type, severity level and development trend prediction result.

A Rydberg sensor may include a probe laser source and a quantum radio frequency (QRF) cavity downstream from the probe laser source and configured to define a path for a plurality of probe laser beam passes within the QRF cavity. A Rydberg sensing region may be within the QRF cavity and in the path of the probe laser beam passes. An optical amplifier may be within the QRF cavity and in the path of the probe laser beam passes. A detector may be downstream from the QRF cavity.

A method includes detecting interaction by a user with an entry detector; collecting credentials from the user; and, if the credentials indicate that the user is authorized to enter, accessing a material database associating each of a set of materials with one or more corresponding resonance frequencies; and for each material of the set of materials: transmitting, into an environment associated with the user, an RF signal at a first resonance frequency for a material of the set of materials; receiving a response signal from the environment; analyzing the response signal from the environment for resonance characteristics that indicate a presence of the material; and in response to the presence of the material being indicated: determining whether an action is required for the material; and if the action is required for the material, actuating an access apparatus to perform the action.

The invention discloses a tower grounding grid multi-frequency composite wave electric field imaging and soil environment medium diagnosis method, which comprises the following steps of: generating a composite excitation signal through superposition of a low-frequency sine wave and a high-frequency CHIRP square wave, and collecting multi-dimensional data such as voltage / current response, soil temperature and humidity, electric field intensity and the like in combination with a distributed sensor array; separating signal features by using wavelet transform and extracting impedance information of a target frequency point; a multi-grid homotopy algorithm is adopted to realize grounding grid three-dimensional resistivity distribution reconstruction, corrosion spots and abnormal areas are marked, and high-precision positioning of underground conductors is completed through UWB radar or a capacitance detector; meanwhile, based on the information entropy maximization optimization frequency band combination, the grounding grid state is comprehensively evaluated in combination with a multi-parameter fusion model. The method has the non-contact patrol capability, the unmanned aerial vehicle carries equipment to scan the grounding grid, the detection efficiency and convenience are remarkably improved, and an efficient and accurate solution is provided for guaranteeing safe operation of the power grid.

The invention discloses an on-line qualitative detection method for partial discharge of power equipment, which comprises a detection system and detection steps, and also comprises the following steps: the detection system comprises a high-frequency partial discharge detector for detecting a high-frequency current transformer; the ultrahigh frequency detection system is used for detecting electromagnetic wave radiation which is generated by partial discharge and has extremely short duration time; the ultrasonic detection system is used for detecting sound waves and ultrasonic signals generated along with energy release when partial discharge occurs; a transient ground voltage method detection system is used for live-line detection of equipment such as a medium-voltage switch cabinet. According to the online qualitative detection method for the partial discharge of the power equipment, different detected equipment and different detection methods are adopted to perform online detection on the partial discharge of the equipment, so that the early partial discharge phenomenon of the power equipment can be found in time, the long-term discharge monitoring data of the power equipment can be stored, and the overall detection effect is improved.

The invention relates to the technical field of intelligent control of HPLC (High Performance Liquid Chromatography) analytical instruments, in particular to an HPLC system fault early warning self-calibration method. Comprising the following steps: S1, acquiring a high-frequency pressure signal behind a pump and a chromatographic signal of a detector in real time; calculating a relative physical disturbance quantity based on the post-pumping high-frequency pressure signal; calculating a chemical state deviation degree based on the detector chromatographic signal; s2, fusing the relative physical disturbance quantity and the chemical state deviation degree, and constructing an instantaneous health index; and S3, comparing the instantaneous health index with a preset first early warning threshold value and a preset second early warning threshold value, and executing a closed-loop control strategy corresponding to a comparison result. According to the method, accurate fault early warning is realized by constructing a physical-chemical two-dimensional monitoring system, the defects of offline and lagging applicability test of a traditional system are overcome through real-time monitoring and fusion evaluation of the two dimensions, and the accuracy and timeliness of early warning are remarkably improved.

The invention relates to the technical field of sensors, and provides a grating position sensor. A scanning assembly and a light source module are relatively fixed, and an incident diaphragm and an increment detector are arranged in the scanning assembly; the increment detector is spatially divided into at least two first detector regions for detecting a first phase increment signal component and at least two second detector regions for detecting a second phase increment signal component, and the at least two first detector regions are spatially separated from each other; performing redundant detection on the first phase increment signal component; the at least two second detector areas are separated from each other in space so as to perform redundancy detection on the second phase increment signal component; the position metering element is suitable for being fixed on a measured object or a measuring datum plane and can generate relative displacement with the scanning assembly. The invention provides a grating position sensor with strong anti-pollution capability. The grating position sensor can keep a high-reliability working state for a long time in a complex or severe industrial environment.

The invention relates to the field of power transmission line device defect detection, and discloses a strain clamp defect detection method and device based on computer vision, and the method comprises the steps: obtaining a global three-dimensional point cloud model of a strain clamp; mapping a standard detection path to the model; synchronously acquiring an internal structure image, an external surface image and an acquisition pose along the path; identifying suspected defects in the internal structure image; if the defect exists, calculating a corresponding associated influence area of the defect on the three-dimensional model by combining the pose; and performing enhanced scanning on the associated influence area to obtain high-precision information. The device comprises a ray machine; a ray machine control module; a digital ray imaging detector; a multi-dimensional information fusion probe; a wireless transmission module; and a power module. According to the method, internal and external defects can be accurately associated, the detection process is standardized, the detection accuracy and repeatability are improved, and a traceable digital file is constructed.

The present application relates to a kind of method and device for judging the trend of concrete oblique crack tip, fill metal powder in the crack to be measured;Determine the beginning and end point of crack trend according to the opening trend of crack surface to be measured, draw the center line of the connecting line of beginning and end point as the first measuring line, respectively from the two end points of the first measuring line along the first measuring line to crack opening position detection using electromagnetic wave radar detector, record the position and depth of the first fluctuation point on radar development map;With the first measuring line as reference line, rotate to make several new measuring lines, obtain the position and depth of the first fluctuation point of each new measuring line;Fluctuation point is sorted according to measuring line sequence, draw the connecting line diagram, i.e. the trend curve of oblique crack tip.The present application is based on the essential characteristics such as the height and form of oblique crack tip position, combined with the measurement mode from far to near, multi-angle, multiple measuring points and the reflection law of radar wave by metal powder, the position and depth of multiple points of concrete oblique crack tip are measured, and then the trend of crack tip is effectively judged.

An unidentified aerial phenomena field disturbance detector includes an accelerometer configured to measure a gravitational field surrounding the unidentified aerial phenomena field disturbance detector; a magnetometer configured to measure a magnetic field surrounding the unidentified aerial phenomena field disturbance detector; a microwave frequency detector configured to measure a specific band of microwave frequencies surrounding the unidentified aerial phenomena field disturbance detector; a controller; and an optical indicator configured to optically communicate information to a user of the unidentified aerial phenomena field disturbance detector. The controller determines a change in the gravitational field surrounding the unidentified aerial phenomena field disturbance detector when generates gravitational field values are outside a predetermined range of non-event field values. The controller controls the optical indicator to optically communicate the determined change in the gravitational field surrounding the unidentified aerial phenomena field disturbance detector.

The invention discloses an imitated radio frequency division multiplexing signal detection method based on low-complexity optimization expected propagation, and belongs to the signal detection technology of multi-carrier communication. According to the method, information is updated through iteration to approach an ML result, and the complexity is reduced from an exponential level to a cubic level; in order to reduce the complexity of the EP, sparse and quasi-banded channel structures in the DAFT domain are utilized. Through matrix block decomposition, upper and lower triangular decomposition and upper triangular matrix forward substitution, low-complexity matrix inversion is successfully realized, and the complexity of the EP algorithm is reduced to a linear level. In addition, the EP algorithm performance is further improved through a deep learning optimization moment matching strategy, so that the process becomes more adaptive through trainable positive and negative component parameters. In addition, DAFT domain iteration detection and decoding can be achieved based on the method, external information of a decoder is fed back to a detector, and the reliability of the whole system is remarkably improved. According to the invention, effective balance between performance improvement and calculation complexity is realized.

The invention relates to an overhead conductor surface defect intelligent detection device, and relates to the technical field of power system detection, the overhead conductor surface defect intelligent detection device comprises a base and a support backboard vertically and fixedly arranged on the base, and the base and the support backboard are in reinforced connection through reinforcing support legs; a walking wheel mechanism is installed at the upper end of the supporting back plate. The wire is clamped through the walking wheels and the pressing wheels and automatically moves along the wire, images are collected from multiple angles in combination with the bottom vision camera and the top vision camera, the whole peripheral surface of the wire is covered, dead-corner-free detection is achieved, the defect detection efficiency and accuracy are remarkably improved, and the detection precision is improved. The problems of low manual inspection efficiency, high risk and limited coverage range of existing automatic detection are solved; by integrating the ash removal mechanism, the obstacle detector and the wireless data transmission module, operation safety is guaranteed, data is remotely transmitted in a wireless mode after being processed, and automatic detection and remote monitoring are achieved.

A time sequence post-synchronization quantum key extraction penetration test method comprises the following steps: A) under the condition of penetration test, a QKD system operates normally, and a sending end and a receiving end smoothly complete key distribution; b) the man-in-the-middle selects an initial original key exchange period to establish synchronization and correlation so as to realize clock synchronization with a receiver; c) analyzing quantum bit error rate information obtained from a public channel by a man-in-the-middle, deducing a corresponding relation between a receiver detector and each quantum state, and establishing a mapping model of the quantum states and bit values; d) determining a quantum state type responded by the receiver in each response time slot in a subsequent original key exchange period by the middleman in combination with path information obtained by other sub penetration tests; and E) the intermediary obtains a final key which is the same as the two communication parties by implementing an error correction and privacy amplification process, the quantum bit error rate between the intermediary and the sender is maintained at a relatively low level and is lower than a security threshold, and a security alarm is not triggered in a penetration test process.

A power supply device applies a voltage to a quadrupole mass filter. The power supply device has a main substrate and a wave-detection substrate. The main substrate includes a detector. The wave-detection substrate includes a wave detector and an identifier. The wave detector detects an AC component of a voltage to be applied to the quadrupole mass filter as a wave-detection voltage. The identifier outputs identification information of the wave detector defined in correspondence with the configuration of a rectifying device of the wave detector. The detector detects identification information output by the identifier, and supplies the detected identification information to a corrector that corrects a deviation of voltage caused by a leakage current of the rectifying device.

The invention discloses a radar weak target detection and positioning method based on four-polarization time-frequency feature fusion. The method comprises the following steps: constructing an initial four-polarization time-frequency feature detector; the initial four-polarization time-frequency characteristic detector is constructed by introducing four parallel Backbones into a YOLOv11 network; one parallel Backbone correspondingly processes one polarization channel; training the initial four-polarization time-frequency feature detector by using a pre-constructed training label set to obtain a four-polarization time-frequency feature detector; calculating detection statistic distribution based on the confidence corresponding to each pure clutter sample map, and determining a detection threshold according to the detection statistic distribution; based on a to-be-detected time-frequency diagram, a radar weak target detection and positioning method which is sufficient in feature utilization, high in detection capability and stable is provided by using a four-polarization time-frequency feature detector and a detection threshold.

The invention relates to a high-precision photonic crystal waveguide signal detection method and device based on a diamond quantum sensor. The method comprises the following steps: acquiring a vibration signal transmitted by a phononic crystal waveguide through a diamond quantum sensor; performing frequency domain transformation on single-frame signals in the vibration signals in sequence to obtain single-frame frequency domain features; inputting the frequency components into a trained detector model, acquiring a long-range dependency relationship between frequency characteristics corresponding to different frequency components and context information between the frequency characteristics through a self-attention module, and correcting the frequency characteristics corresponding to the related frequency components according to the long-range dependency relationship and the context information; identifying an aggregation feature containing the corrected frequency feature through a classification layer to obtain a predicted binary numerical value corresponding to the single-frame frequency domain feature; the long-range dependency relationship means that the amplitude information and / or the phase information between the two frequency components with the frequencies exceeding the preset threshold value have an association relationship. The method can improve the signal detection precision.

The invention discloses a semiconductor etching end point detection method and a multi-channel detection system, and the detection method comprises the following steps: outputting detection light; expanding the detection light into a continuous spectrum band; imaging the continuous spectral band to a modulation surface of a digital micromirror device, and establishing a pixel group corresponding to each narrow-band wavelength of the continuous spectral band; performing spatial sampling on the continuous spectrum band, and distributing and writing a unique radio frequency modulation frequency f for each pixel group; respectively executing vibration type switch modulation on each pixel group at a radio frequency modulation frequency f so as to convert wavelength information of a continuous spectrum band into a time domain frequency optical signal; converting the time domain frequency optical signal into a time domain electric signal; performing frequency domain analysis on the time domain electric signal, and demodulating gas absorption light intensity corresponding to each modulation frequency; and judging the etching end point of the semiconductor according to the change trend of the gas absorption light intensity. According to the invention, parallel detection of a plurality of spectrum channels can be realized through a single detector so as to judge an etching end point.

The invention discloses a weak magnetic field synchronous measurement device and a weak magnetic field synchronous measurement system, and the device comprises a signal generator which is used for outputting a first AC constant current power supply and a second AC constant current power supply; the reference magnetic field generation device is electrically connected with the signal generator, and the reference magnetic field generation device is used for being connected with a direct-current constant-current power supply and a first alternating-current constant-current power supply to generate a reference magnetic field; the magnetic field detection device is electrically connected with the signal generator, and the magnetic field detection device is used for being driven by a second alternating-current constant-current power supply, detecting a reference magnetic field and outputting a reference magnetic field detection signal; and the signal demodulating device is electrically connected with the magnetic field detection device, the signal demodulating device is used for demodulating the reference magnetic field detection signal to obtain a reference signal and outputting the amplitude and phase of the reference signal on a first reference frequency and a second reference frequency, and the second reference frequency is twice of the first reference frequency. According to the invention, a complex magnetic field formed by superposing a steady magnetic field and an alternating magnetic field can be measured.

Methods, systems, and devices for private radio communication in frontline work environments are disclosed. In some embodiments, private radio communication is provided by a radio device configured to decrease the audio output volume from the radio device’s speaker when the radio device is positioned near or against the head of a user. The radio device is configured to determine the position of the radio device relative to the user’s head via one or more sensors. In some embodiments the sensors include a photodetector, and the radio device decreases the volume of the audio output based on the incident light detected by the photodetector. In some embodiments, the radio device shifts volumes based further on input from a push-to-talk (PTT) button. In some embodiments the radio device shifts between a PTT mode of operation and a non-PTT mode of operation based on proximity to the user’s head.

The invention relates to the field of press machine detection, and particularly discloses a press machine anomaly detection method, which comprises the following steps of: segmenting continuous force and displacement signal flow into independent stroke data segments, and extracting multi-dimensional feature vectors containing statistics, form and frequency domain information from the stroke data segments so as to comprehensively describe the state of each stamping stroke. Then, inputting the current stroke feature vector into an acute anomaly detector based on a heterogeneous auto-encoder, and sensitively capturing an emergent and isolated abnormal event in a high reconstruction error form by learning a reconstruction mode of normal data; besides, a chronic reference drift detector based on a Wasserstein distance is utilized, and systematic slow drift caused by equipment wear or working condition change is identified by analyzing distribution change of feature vector flow within a period of time. And finally, through an intelligent decision-making and arbitration mechanism, the acute abnormal score and the drift signal are fused, and a real equipment fault is identified.

The invention discloses a femtosecond optical comb large-size precision absolute distance measurement system in a complex environment. Comprising a source module, a beam splitter, a third dichroic mirror, a fundamental frequency femtosecond optical comb reference detector, a frequency doubling femtosecond optical comb reference detector, a fourth dichroic mirror, a frequency doubling femtosecond optical comb measurement detector, a fundamental frequency femtosecond optical comb measurement detector, a phase discriminator, a ranging zero point mirror and a corner reflector. The source module comprises an atomic clock, a femtosecond optical comb, an optical fiber beam splitter, a signal generator, an electro-optical modulator, a lens, a frequency multiplication module, a first collimation beam expander, a second collimation beam expander, a first dichroic mirror and a second dichroic mirror. According to the scheme, the defects that in the prior art, the measurement range is insufficient, complex industrial sites are difficult to adapt, and the real-time performance is poor are overcome, and a new way is provided for breaking through the technical bottleneck of large-range, high-precision, dead-zone-free, rapid and real-time measurement in a complex environment; and a technical support is provided for engineering application of a femtosecond optical comb precision distance measurement technology and development of a subsequent measurement prototype.

The invention discloses a system reference clock frequency accuracy automatic calibration circuit and a calibration method thereof, and belongs to the technical field of frequency sources, the calibration circuit comprises a first crystal oscillator, a first power divider, a second power divider, a second crystal oscillator, an analog switch, a radio frequency switch, a detector, a comparator, an FPGA controller, a digital analog converter, an operational amplifier and a temperature sensor. When an external high-precision reference clock is accessed, the FPGA controller automatically switches a frequency measurement reference, performs high-precision frequency measurement on a 100MHz signal output by the first crystal oscillator, and judges whether calibration is needed or not according to frequency offset; if calibration is needed, the output voltage of the digital-to-analog converter is adjusted, the Vc end of the first crystal oscillator is controlled after operational amplification, and frequency closed-loop adjustment is achieved. According to the method, the crystal oscillator does not need to be disassembled, calibration is rapidly completed on site, and system availability and long-term frequency stability are remarkably improved.

The waveguide carrying a nonlinear crystal with reflective interface, a pump photon source and a circulator define an optical parametric amplifier which uses optical power from the pump photons to boost incoming signal and idler photons which carry the encoded signal. The nonlinear crystal performs optical parametric amplification upon the incoming optical signal in a quantum photonic process that generates additional signal and idler photons to thereby boost the intensity of the incoming signal. A photodetector is coupled for communication with the third port and operative to convert the reflected optical signal into an electrical signal defining the output of the communications receiver.

The invention relates to a low-noise high-precision pressure measuring circuit which comprises a bridge type sensor, an alternating-current excitation signal source, a phase-sensitive detector, a low-pass filter, a reference signal source and a signal conditioning amplifier. The alternating current excitation signal source modulates a differential voltage signal generated by the bridge type sensor to a high-frequency alternating current excitation signal generated by the alternating current excitation signal source to obtain a high-frequency pressure signal; the high-frequency pressure signal is amplified by the signal conditioning amplifier to form a modulated signal; the phase-sensitive detector performs frequency mixing on the modulated signal and a reference signal generated by a reference signal source to obtain a frequency mixing signal; the frequency mixing signal is filtered by a low-pass filter to form a direct-current voltage signal for pressure measurement; the reference signal generated by the reference signal source and the high-frequency AC excitation signal generated by the AC excitation signal source have the same frequency. According to the circuit, signals are modulated to a high-frequency area with low noise energy to be processed by adopting alternating-current excitation and coherent detection technologies, the signals and noise are effectively separated, and extremely high measurement resolution and precision are achieved.

Apparatus and methods for power amplifier signal limiting are disclosed. In certain embodiments, a front-end system includes a low noise amplifier that amplifies a radio frequency receive signal during a receive frame, a power amplifier that amplifies a radio frequency transmit signal during a transmit frame, and a signal limiter operable to limit a signal power of the power amplifier in an attenuating mode. The signal limiter includes a radio frequency detector configured to generate a detection signal based on detecting a power level of the radio frequency transmit signal, and a latch that locks the signal limiter in the attenuating mode in response to activation of the detection signal. The latch is reset by a bias signal of the power amplifier that is activated during the transmit frame and deactivated during the receive frame.

The utility model relates to a radar system for simultaneously detecting visibility and a wind field, and the system comprises a laser emission unit which is used for emitting laser with a first wavelength and laser with a second wavelength to the atmosphere; the optical receiving unit is used for receiving a first wavelength laser echo signal and a second wavelength laser echo signal which are scattered by the atmosphere and contain atmosphere information; the detector is used for respectively converting the first wavelength laser echo signal and the second wavelength laser echo signal received by the optical receiving unit into a first electric signal and a second electric signal; the data acquisition module is used for acquiring a first electric signal and a second electric signal of the detector; and the upper computer is connected with the laser emission unit and the data acquisition module. According to the utility model, two atmospheric elements of visibility and an atmospheric wind field can be monitored simultaneously and synchronously.

According to an embodiment, a phased-locked loop (PLL) circuit, within a gyroscope system, generates demodulation signals. It includes a phase frequency detector receiving gyroscope output, which compares a reference signal with a feedback signal to produce an error signal. A charge pump then converts this error into a first analog control signal. A programmable clamp circuit refines this into a second analog control signal. A voltage-controlled oscillator uses the second signal to produce an output signal at a controlled frequency determined by the clamp circuit. A frequency divider sends a comparison frequency signal back to the detector, completing the loop.

The invention relates to the technical field of air pollution detection, in particular to a flue gas detector and a calibration detection method thereof, and the flue gas detector comprises a concentration fluctuation analysis module, an abnormal data screening module, an error interval collection module, a parameter trend analysis module and a period stability judgment module. According to the method, abnormal data and equipment drift influence are dynamically screened, an error change interval is actively collected, and through linkage comparison of multi-source parameter trends and separation of working condition disturbance, instrument abnormality and periodic offset signals, automatic screening of concentration data and operation parameters under multiple links is achieved, feature recognition and abnormal partition are associated, and the accuracy of the system is improved. The sampling effectiveness, the data stability and the instrument parameter change trend under the continuous detection working condition are managed in a layered mode, a traceable dynamic calibration chain is formed, the smoke detection consistency and the data exception handling capacity in the complex emission environment are remarkably improved, and an intelligent judgment mechanism of data grading rejection and trend aggregation is perfected.

The invention relates to the field of electric digital data processing, and discloses a signal global induction real-time control method and system. The method comprises the following steps: collecting state data in real time through a thunder detector, and generating a state value through fuzzy comprehensive evaluation; calculating an intersection credit value based on a multi-stage enhanced game model in combination with the state value and the historical compromise rate; dynamically adjusting the cooperation range by adopting a cooperation suppression distance field mechanism; and distributing signal duration according to a three-level arbitration strategy, updating a credit value, and optimizing the system through a credit entropy stabilization mechanism. According to the method, the problem that signal control lacks global collaboration due to the fact that traffic association of intersections of the whole network is not fully considered and data processing is limited to local is solved, a universal global collaborative planning control method is realized, and the traffic planning efficiency and the system stability are improved.

The invention provides a multi-sensor adaptive anti-interference working well environment detection system and method, and the system comprises a single-chip microcomputer control panel, a temperature and humidity monitoring sensor, a four-in-one combustible gas detector, a dust particle detector, a differential pressure transmitter, and a cloud server. The temperature and humidity monitoring sensor, the four-in-one combustible gas detector, the dust particle detector and the differential pressure transmitter are in circuit connection with the single-chip microcomputer control panel, the single-chip microcomputer control panel is in wireless communication with the cloud server, the detection method dynamically adjusts the weight distribution of the sensor through the feature level attention module, a lightweight neural network and a hard redundancy check rule are combined, and the detection accuracy is improved. Compared with the prior art, the method has the advantages that the low false alarm rate is kept, the model size is low, and the method is suitable for industrial field deployment.