503 results about "Frequency detection" patented technology

The invention discloses a quadruped inspection robot space positioning method and system based on gravity center sensing, and aims to construct a gravity center potential energy field through foot end contact force and body attitude information, form a gravity center disturbance mode in combination with fluctuation spectrum analysis, and reveal a disturbance propagation mechanism. A reverse compensation technology is adopted to generate an anti-disturbance sequence, a foot end force distribution topology is reconstructed, and active disturbance suppression is achieved; a multi-frequency detection wave beam and coherent superposition technology is introduced, an environment hologram is generated, geometric topology is reconstructed, and a high-precision environment sensing system is established; high and low impedance regions are identified through energy density analysis, and an energy optimal path is constructed in combination with double strategies of potential field bypassing and streamline tracking; establishing an oscillation analysis space for path projection simulation, identifying resonance risk points and determining stabilization parameters; finally, a coordinate reference is generated by adopting a quantum entanglement type multi-anchor-point synchronization mechanism, accurate positioning is realized by fusing environmental geometric information, and a technical closed loop from gravity center dynamics analysis to environmental perception navigation is realized.

The invention discloses an identification and positioning method for power cable defects and short-circuit faults. The defect identification and positioning method comprises the following steps: establishing a power cable transmission line simulation model and a partial discharge simulation model by using electromagnetic transient simulation software; obtaining a partial discharge signal according to the power cable transmission line simulation model and the partial discharge simulation model, and identifying the partial discharge signal based on an SSA-BP algorithm; performing preliminary positioning on the power cable by adopting an ultrasonic, high-frequency and ultrahigh-frequency detection method; accurate positioning of power cable defects is realized through an infrared heat and sound wave positioning principle. According to the method, a simulation analysis method is adopted to obtain a sample, and then accurate identification of a cable fault is realized through a BP neural network (SSA-BP) optimized based on a sparrow search algorithm. And meanwhile, accurate cable fault positioning is realized aiming at different fault positions.

The invention relates to the technical field of information management, in particular to a smart agriculture precision big data information management system, which comprises a growth index extraction module, a stage data clustering module, a nutrient fluctuation identification module, an agricultural material strategy generation module and a scheduling information scheduling module. According to the method, the acceleration criterion is constructed based on the continuous period leaf area index change sequence, transition node identification is completed in combination with the photosynthetically active radiation utilization rate and the nitrogen absorption rate change trend, accurate positioning of crop growth stage change time points is achieved, the stability of stage classification in a space region is enhanced, and the accuracy of crop growth stage classification is improved. The agricultural material putting grade is judged and the fertilization frequency and dosage are blended by analyzing a root zone soil nutrient concentration difference value and a rate fluctuation frequency detection mode in combination with moisture content and root activity conditions, and operation period adjustment is guided in a task schedule in cooperation with a meteorological element fluctuation rate. The precision of farmland crop stage identification and the timeliness of nutrient fluctuation response are integrally improved.

The invention relates to the technical field of wireless communication, in particular to an OTA upgrading method and system for Bluetooth sound equipment. The method comprises the following steps: acquiring to-be-upgraded firmware data and currently played audio data, and acquiring power amplifier current feedback data of a sound speaker by sending a double-frequency detection signal containing 21kHz and 22kHz; acquiring equipment transmission capability confirmation data according to a silent response mode of the sound equipment to the preset handshake signal; and calculating a nonlinear distortion coefficient of the loudspeaker according to the intensity of the 1kHz difference frequency component in the power amplifier current feedback data, and obtaining real-time channel evaluation data based on current waveform deviation analysis. According to the method, the nonlinear distortion degree of the loudspeaker is accurately evaluated through the 1kHz difference frequency component generated by the 21kHz and 22kHz dual-frequency detection signals, so that the reliability of data transmission is more accurately predicted.

The invention discloses a membrane bioreactor membrane pollution prediction method and system, and relates to the technical field of pollution detection. The method comprises the following steps: setting a frequency detection strategy, and connecting a membrane bioreactor to obtain a membrane feedback signal based on the frequency detection strategy; performing feedback signal fluctuation time sequence characteristic analysis based on the membrane feedback signal to obtain a feedback signal characteristic; the feedback signal features are combined with reactor operation parameters to be imported into a mechanism hybrid prediction model, mechanism constraint is carried out through a mechanism constraint layer according to the feedback signal features, data analysis is carried out on time series data features on the basis of the mechanism constraint through a data driving prediction layer, and a membrane state prediction result is obtained; and performing membrane pollution state analysis and progress prediction according to the membrane state prediction result, and generating a membrane pollution prediction data chain. The technical problems that in the prior art, membrane pollution prediction depends on an empirical threshold, so that recognition lags and precision is insufficient are solved, and the technical effect of improving membrane pollution prediction accuracy and real-time performance is achieved.

The invention belongs to the technical field of gas detection and recognition, and particularly relates to a mixed gas component acoustic qualitative recognition method based on a deep learning network and a network training method. Testing a plurality of groups of sound velocities and sound absorption coefficients corresponding to different sound wave frequencies of the to-be-identified gas under the conditions of preset temperature and pressure, and then calculating to obtain effective heat capacities corresponding to the plurality of groups of to-be-identified gas according to the plurality of groups of sound velocities and sound absorption coefficients; decomposing the effective heat capacity according to a mixed gas acoustic relaxation decoupling model to obtain a gas relaxation information parameter; and taking the gas relaxation information parameter as the input of the trained mixed gas vibration characteristic frequency detection network, namely outputting the gas type in the to-be-identified gas. The invention provides a new way for identifying gas types, and the model is high in identification accuracy and wide in application scene.

The invention relates to the technical field of impedance matching, and discloses an impedance matching method and device, external line gateway equipment, a storage medium and a computer program product, the method is applied to the external line gateway equipment, the external line gateway equipment is connected with a telephone network for use, and the method comprises the following steps: sending a multi-frequency detection signal to the telephone network based on a preset period, echo signal attributes corresponding to the collected echo signals are obtained; feature extraction is carried out according to the echo signal attribute to obtain a feature vector, the normalized feature vector is input into a preset neural network prediction model to obtain a prediction impedance value, and the preset neural network prediction model is obtained by training the sample impedance value and the sample feature vector; and obtaining a target impedance value based on a preset smooth transition algorithm and the predicted impedance value, and performing impedance matching according to the target impedance value. Since the corresponding target impedance value is generated in real time for impedance matching, the equipment can adapt to different telephone network line characteristics for impedance matching.

The invention discloses an MEMS resonator low ripple error temperature measurement system based on voltage feedback compensation, and the system comprises a trans-impedance amplifier, an analog-to-digital converter, a frequency detection module, a PI controller, a variable gain amplifier, a Schmitt trigger, a first digital-to-analog converter, a biasing circuit, mode switches S1 and S2, and a voltage feedback compensation loop. The compensation loop comprises an amplitude detection module, a lookup table, a second digital-to-analog converter and an adder; the amplitude detection module receives the digital signal from the analog-to-digital converter and outputs a vibration amplitude signal in real time; the lookup table receives the vibration amplitude signal, inquires and outputs a corresponding digital compensation voltage, and converts the digital compensation voltage into an analog voltage through a second digital-to-analog converter; the adder adds the analog voltage and a fixed bias voltage to generate a dynamic bias voltage and applies the dynamic bias voltage to a drive electrode of the MEMS resonator. According to the system, an amplitude-driving end bias voltage feedback compensation loop is introduced, so that the periodic ripples of the resonant frequency are effectively suppressed.

The invention discloses a pulling and lifting cable frequency detection and cable force measurement method and system based on a millimeter wave radar, and belongs to the field of pulling and lifting cable force measurement. The method comprises the steps that vibration signals are collected through the millimeter wave radar to obtain complex data streams, time-frequency analysis is conducted on the complex data streams, and an interference model is established; the method comprises the following steps: reconstructing a noise-reduced vibration signal by adopting adaptive filtering, extracting candidate vibration frequencies through power spectral density estimation and spectral peak detection, calculating corresponding stability scores, and obtaining a first verification factor used for evaluating wind disturbance and a second verification factor used for evaluating vibration frequency deviation; according to the method, through multi-source sensing data fusion and self-adaptive signal processing, complex environment interference is effectively overcome, non-contact high-precision cable force measurement is achieved, and the method has the outstanding advantages of being high in anti-interference capacity, high in measurement reliability and the like.

The invention discloses a broadband low-power-consumption receiving and transmitting shared phase shifter which comprises a differential signal common port, a frequency sampling and control circuit, a dual-mode orthogonal generation circuit and a passive vector modulation synthesis circuit. The differential signal common port comprises a common input / output port interface of RF + and RF-differential radio frequency signals; the frequency sampling and control circuit is composed of a frequency sampling circuit, a frequency detection circuit and a logic control unit. The dual-mode orthogonal generation circuit is composed of a frequency selection change-over switch, a multi-phase filter, a coupling transformer, a matching network 1 and a matching network 2. The passive vector modulation synthesis circuit is composed of two passive vector modulation arrays and two combining / power dividing circuits.

The invention discloses a highway geological disaster emergency monitoring system and method, and belongs to the technical field of geological disaster monitoring. The system comprises a main control device, and an earth surface displacement rate detection device, a slope internal displacement detection device, a pore water pressure detection device, an acoustic emission event frequency detection device, a soil pressure increment detection device and a strategy generation device which are electrically connected with the main control device. The system realizes grading evaluation of geological disaster risks through a multi-stage detection mechanism: firstly, detecting earth surface deformation characteristics, and if the earth surface deformation characteristics are abnormal, judging that the earth surface deformation characteristics are first-stage risks and starting deep soil deformation and hydrogeological condition detection; if the indexes are abnormal at the same time, judging that the risk is a secondary risk, and starting a soil body fracture process and stress mutation feature detection; and if the risk is abnormal again, determining that the risk is third-level risk. And the system automatically generates corresponding emergency disposal strategies according to different risk levels. According to the invention, accurate recognition and graded response of highway geological disaster risks are realized, and the monitoring efficiency and the emergency disposal capability are improved.

The present invention relates to the field of communication and sensing, and specifically to a communication and sensing integrated device based on a seven-core optical fiber interferometer and an application method therefor. The application method comprises: a first beam splitter splitting, into reference light and signal light, a light source emitted by a narrow linewidth laser; performing modulation by means of a first coherent optical transmitter and a second coherent optical transmitter; amplifying the light by means of a first amplifier and a second amplifier, and then enabling the light to pass through a multi-core optical fiber from a fan-in end, and to output from a fan-out end; performing beam splitting by means of a second beam splitter and a third beam splitter, and performing demodulation by means of a first coherent receiver and a second coherent receiver; and finally, a phase-locked loop performing interference elimination on preliminarily-demodulated reference light and preliminarily-demodulated signal light to obtain finally-demodulated reference light and finally-demodulated signal light. The present invention uses a phase-locked loop to further eliminate disturbance noise of reference light and signal light. Therefore, noise interference is eliminated in continuous low-frequency detection, thereby improving the communication and sensing effect.

The invention belongs to the technical field of power protection, and particularly relates to a station transformer grounding current synchronous synthesis method and system, and the method comprises the steps: carrying out the grouping according to the number of a station transformer, synchronously collecting the grounding branch current of each station transformer to obtain an original signal, carrying out the double identification, and carrying out the homologous copying; generating two paths of independent signals of frequency detection and phase calibration; frequency detection signals are grouped according to double identifications, the independent actual frequency of each station transformer is obtained after frequency detection processing, and a same-frequency sine dynamic reference signal is generated based on the independent actual frequency; performing phase alignment and compensation on the phase calibration signal and the corresponding reference signal according to the double identifiers to obtain a calibrated signal; according to the method, the phase calibration reference of each station transformer is completely matched with the actual frequency of the station transformer, the reason of phase reference dislocation caused by frequency fluctuation is eliminated from the source, and the accuracy of synthesizing the total grounding current in the station is improved.

The invention discloses a single-laser self-injection locking resonant optical gyroscope based on light intensity detection and a working method thereof, and belongs to the technical field of optical gyroscopes, a working light source DFB laser is connected with a first port of a circulator, and a second port of the circulator is connected with a beam splitting coupler through an isolator; two output ends of the beam splitting coupler are respectively connected with an input end of the echo wall microcavity and the phase modulator, and the phase modulator is connected with the other input end of the echo wall microcavity; a first port of the output end of the echo wall microcavity is connected with a third port of the circulator, and a second port of the output end of the echo wall microcavity is connected with the frequency locking amplifier through the photoelectric detector. According to the invention, the problems of high cost of double light sources in the self-injection locking resonant optical gyroscope and frequency drift and complex structure of beat frequency detection are solved, so that the measurement precision and economical efficiency of the gyroscope are effectively improved.

The invention discloses an ultrasonic stress-induced ice layer breaking deicing method, system and device for an insulator, and the method comprises the steps: sequentially transmitting a first frequency detection signal and a second frequency detection signal through an ultrasonic transmitting unit, collecting a reflection signal, and judging whether ice coating exists or not based on the characteristic difference of amplitude attenuation, propagation time difference and phase offset; if icing exists, deicing ultrasonic waves with initial power are transmitted, a power adaptive adjustment model is constructed by using real-time signals reflected by an icing layer, and the deicing power is dynamically optimized in combination with the characteristic change rate; the double-frequency signals are transmitted again at regular intervals, and after re-check reflection signals are collected and subjected to temperature correction, whether ice coating is completely removed or not is judged through characteristic differences; the system comprises an ultrasonic transmitting / receiving module, an icing judgment module and a power adaptive adjustment module. The device comprises a high-frequency ultrasonic generator, an ultrasonic transducer and a microcontroller. The device realizes integration of ultrasonic detection, deicing and effect verification, and is suitable for various insulator winter icing removal scenes.

The invention discloses a rapid frequency support control method and device for an offshore wind power uncontrolled rectification sending-out system, and the method comprises the steps: obtaining the frequency of a receiving-end AC power grid, and obtaining an improved receiving-end converter DC bus voltage instruction value based on the frequency information when the frequency change of the receiving-end AC power grid is detected; on the basis of the instruction value, the direct current bus voltage of the receiving end converter is regulated and controlled, so that the direct current bus voltage of the receiving end converter tracks the direct current bus voltage reference value of the receiving end converter, and the amplitude change of the alternating current voltage of the offshore wind field is caused; based on the change of the AC voltage amplitude of the offshore wind field, constructing a power outer ring of the active power-voltage amplitude and the reactive power-voltage phase angle of the similar synchronous machine, determining the terminal voltage reference value of the offshore wind turbine, regulating and controlling the terminal voltage of the offshore wind turbine, enabling the terminal voltage of the wind turbine to track the terminal voltage reference value, and controlling the active output of the offshore wind field. According to the invention, the inertia supporting capability of the offshore wind power uncontrolled rectification sending-out system to the receiving end power grid is improved.

The utility model provides an alternating current frequency detection circuit and a battery management system, and belongs to the technical field of frequency detection. The alternating current frequency detection circuit comprises an acquisition unit and a frequency detection unit, the acquisition unit comprises a first voltage division module and a second voltage division module, a first end of the first voltage division module is connected with one end of an alternating current power supply, and a second end is connected with a first direct current power supply; the fourth end of the second voltage dividing module is connected with the other end of the AC power supply, and the fifth end is connected with a first DC power supply which is used for enabling the third end and the sixth end to output positive voltage; the first input end of the frequency detection unit is connected with the third end, the second input end is connected with the sixth end, the first output end is used for outputting a level signal corresponding to the AC power supply, and the level signal is used for indicating the frequency corresponding to the AC power supply. According to the invention, the detection of the frequency of the alternating current is realized through a hardware circuit composed of the acquisition unit and the frequency detection unit, and the technical problem that the detection process of detecting the frequency of the alternating current through software is tedious is solved.

The invention relates to the technical field of quality detection, and provides a method for detecting the quality of an aminobutyric acid extract in peanut sprouts, which comprises the following steps: performing specific recognition on aminobutyric acid by a molecular imprinting sensor, and calculating the impurity contribution by combining a preset peanut sprout interference database and partial least square regression; the interference of complex matrix impurities in the peanut bud extract can be specifically eliminated, and the problem that the specificity is insufficient when a traditional method is used for detecting a complex sample is solved; the molecularly imprinted sensor and the quartz crystal microbalance are connected in series through the microfluidic channel, and resonance frequency detection is triggered by using capacitance variation, so that a coherent process is formed from identification to quality analysis of sample detection, and the detection efficiency is improved; the corrected frequency offset, the phase angle and the temperature are input into the recurrent neural network, accurate output of the concentration of the aminobutyric acid is achieved by integrating multi-dimensional detection information, compared with a single parameter detection method, the real content of the aminobutyric acid in an extract can be reflected more comprehensively, and a reliable basis is provided for quality judgment.

The hosiery machine comprises a hosiery machine body, a hosiery suction device is arranged on the side edge of the hosiery machine body, the hosiery suction device comprises a first air pipe and a second air pipe, the first air pipe and the second air pipe are used for providing air suction force through an air pump, and a discharging barrel is arranged between the first air pipe and the second air pipe. A charging tray for detecting socks according to frequency is arranged on the side edge of the hosiery machine, the charging tray is controlled by a driving device to move to the position below the blanking barrel to obtain the socks needing to be detected, then the charging tray is driven by the driving device to leave the position below the blanking barrel, and output of the socks produced by the hosiery machine by the blanking barrel is not affected; the frequency for detecting the socks according to the frequency is the production quantity frequency of the socks or the production time frequency of a hosiery machine; the production number frequency of the socks is that the socks are detected once every production set number, and the production time frequency of the hosiery machine is that the socks are detected once every production set time. The charging tray for detecting the socks according to the frequency solves the technical problem that the socks produced by a hosiery machine cannot be detected according to the frequency.

The invention discloses a vibration frequency detection and suppression method and device for a robot end effector, and relates to the field of robots. The method comprises the following steps: acquiring current and position feedback information of each joint of the robot; performing filtering processing on the current and the position feedback information to obtain a position feedback signal of each joint of the robot, and performing second-order difference calculation on the position feedback signal to obtain a vibration frequency of each joint of the robot; judging whether the end effector shakes or not according to the vibration frequency of each joint of the robot; if it is determined that the end effector shakes, the vibration suppression frequency is determined; inputting the vibration suppression frequency into a vibration suppressor to obtain a shaped pulse sequence; and performing convolution operation on the original control signal based on the shaping pulse sequence to obtain a target control signal, and controlling the robot to operate according to the target control signal. By implementing the technical scheme provided by the invention, the detection and suppression efficiency of the tail end vibration of the robot is improved.

The invention relates to the technical field of electronic circuits, in particular to a differential transformer resonant bridge resonant frequency detection and adjustment device and method, a rapid tuning capacitor bridge is composed of a plurality of tuning capacitors, and the resonant frequency is changed by adjusting the capacitance values of the tuning capacitors connected into a circuit; in addition, an analog-to-digital conversion circuit is used for collecting voltage data, and the upper computer is used for directly observing the minimum value of an output voltage peak-to-peak value to judge the resonance state. According to the device and the method provided by the invention, the resonant frequency can be detected, the tuning range can be adjusted as required, the tuning capacitance stepping precision can be adjusted as required, the tuning precision is high, and the resonant frequency adjustment efficiency is improved; meanwhile, the rapid tuning capacitor bridge is used as an independent adjusting unit, so that repeated welding and dewelding of the front-end circuit during the tuning process when the tuning capacitor is changed are effectively avoided, the safety and the reliability of the front-end bridge are ensured, and the engineering application requirements are better met.

The invention discloses a control instruction rate matching method of a distributed controller-driver, and relates to the technical field of distributed control, and the method comprises the steps: carrying out instruction frequency detection through employing a clock source of the driver, and obtaining a frequency error value of a controller instruction; performing interpolation caching processing on the controller instruction based on the frequency error value of the controller instruction to obtain frequency error information of instruction caching; and performing dynamic period adjustment according to the frequency error value of the controller instruction and the frequency error information of the instruction cache, and obtaining a control instruction rate matching result. Frequency detection and dynamic period adjustment are independently completed through the driver, a controller does not need to participate in clock calibration, the communication bandwidth is prevented from being occupied by a calibration instruction, and the system communication efficiency is remarkably improved; and in combination with interpolation cache processing, clock skew can be compensated in real time, the instruction frequency error is controlled within an extremely low range, the system fluctuation risk is effectively reduced, a communication protocol does not need to be modified, and the method is completely compatible with an existing hardware architecture.

The invention relates to the technical field of photovoltaic power stations, in particular to a photovoltaic power station power control system based on frequency change. Comprising a grid-connected point, a frequency detection module, a gas phase prediction module, a historical analysis module, an intelligent decision-making module, a power distribution module, a power regulation module and an inverter, the frequency detection module, the gas phase prediction module and the historical analysis module are all bidirectionally and electrically connected with the intelligent decision-making module, and the intelligent decision-making module is bidirectionally and electrically connected with the power distribution module. The power distribution module is bidirectionally and electrically connected with the power adjusting module, and the power adjusting module is bidirectionally and electrically connected with the inverter. Through a gas phase prediction module, time sequence models such as LSTM, Transformer and CNN-LSTM are used, power station data and weather forecast are fused, and the irradiance fluctuation range and trend from a few minutes to a few hours in the future are predicted. And dynamically calculating the optimal load reduction rate by using a reinforcement learning or optimization algorithm based on a prediction result. Therefore, under the condition that the frequency modulation standby requirement is met, the whole-station or group cascade stage power set point is dynamically adjusted in real time.

The invention relates to the technical field of medical instrument detection, in particular to an oral irrigator frequency detection method, device and equipment, a storage medium and a computer program product. According to the method, jitter data of a flexible water guide pipe under the action of water flow agitation are obtained, one end of the flexible water guide pipe is connected with a nozzle of a to-be-detected oral irrigator, and the other end of the flexible water guide pipe is inserted into a water container; extracting a jitter image sequence in the jitter data; removing a horizontal dithering image sequence in the dithering image sequence to obtain a vertical dithering image sequence; performing inter-frame motion analysis on the vertical jitter image sequence to obtain periodic jitter displacement information; and according to the periodic shaking displacement information, the water outlet frequency of the to-be-detected oral irrigator is determined, so that the convenience and accuracy of frequency detection of the oral irrigator are improved.

The present disclosure provides a radio frequency receiving unit and a method of signal reception thereof, in particular, a radio frequency receiving unit is provided. The radio frequency receiving unit comprises a plurality of signal processing paths, at least one receiving port, each of the at least one receiving port being configured to receive a received signal having any frequency within a full bandwidth encompassing a predetermined range of frequencies, a frequency detection unit configured to detect a frequency band to which the received signal belongs, and a control unit configured to control routing, based on the detected frequency band, of the received signal to a corresponding signal processing path for processing.

The invention relates to the technical field of electric power detection, and provides a low-voltage and low-frequency load shedding function test method and a test device, in the on-site real-model test process, the test method and the test device are hung on a grid along with an FTU, the voltage and frequency change of the power grid and the action of the FTU are recorded in real time, a broken line graph is generated through upper computer software, and the action process of on-site low-voltage and low-frequency detection is displayed. Whether the device correctly executes the low-voltage and low-frequency load shedding action or not is visually observed, and the method has high practical significance (fault prevention), asset configuration optimization (service life prolonging) and final service for efficient, reliable and economical operation of a power grid.

The invention relates to the technical field of industrial X-ray detection, in particular to an image-based automatic voltage and current adjustment algorithm, which dynamically adjusts voltage and current according to real-time feedback of an image, accurately controls exposure parameters of X-ray equipment, effectively avoids overexposure or underexposure of the image, and improves the detection accuracy. Images with uniform gray scale, clear details, high contrast and reliable quality can be obtained, and a foundation is built for subsequent analysis and diagnosis. On the other hand, the whole adjustment process is automatic, manual repeated test parameters are not needed, the equipment debugging time is greatly shortened, standard images can be rapidly obtained, the detection efficiency is greatly improved, and the method is particularly suitable for large-scale and high-frequency detection tasks. In addition, the voltage and the current are always compared with the maximum value of the equipment during adjustment, excessive parameter operation is prevented, equipment damage is effectively avoided, the service life of the equipment is prolonged, and the maintenance cost is reduced.

The present application relates to the technical field of compression spring resonance frequency detection, and specifically relates to a compression spring resonance frequency detection method and system, the method comprising the following steps: collecting a mixed vibration signal of a compression spring to be measured; collecting a background noise signal of a test device as a reference noise signal; collecting a synchronous signal of a specific noise source of the test device; performing adaptive noise cancellation processing on the mixed vibration signal, the adaptive noise cancellation processing performing initial parameter training using the reference noise signal and using the noise source synchronous signal as a real-time reference input to separate a pure vibration response signal of the compression spring to be measured; performing frequency spectrum analysis on the pure vibration response signal; identifying a wideband vibration response region of the compression spring to be measured, the wideband vibration response region having a continuous amplitude higher than a preset energy threshold and having a specific width; calculating a characteristic parameter of the wideband vibration response region; and judging a degradation state of the compression spring to be measured according to the characteristic parameter. The above improves the accuracy of degradation judgment.

The invention discloses an ocean water pollutant monitoring device, belongs to the technical field of seawater detection, and aims to solve the problems that a maintainer needs to regularly and repeatedly calibrate and maintain detection probes on a buoy, the number of the detection probes on a traditional buoy is limited, only one sample can be detected each time, and the real-time sampling rate of data is low. A liquid storage tank is embedded in the bottom face of a buoy body, a mounting shell is fixedly arranged on the bottom face of the buoy body, a power assembly is fixedly arranged in the buoy body, a stirring assembly is fixedly connected to an output shaft of the power assembly, and a connecting assembly is arranged at the bottom of the stirring assembly; a sliding assembly, a compression assembly and a plugging assembly are separately arranged in the mounting shell, the high-frequency detection can be performed under the conditions of marine pollution accidents, red tide / algae bloom outbreak and typhoon / storm surge by changing the shape of the shifting assembly, and the automatic calibration can be realized after the detection probe is used every time.

The embodiment of the invention provides a signal period measurement method, a microcontroller, a storage medium and a program product, and relates to the technical field of signal frequency detection, the method comprises the following steps: in response to a timer capture event or a timer overflow event, executing an interrupt service program of a central processing unit; executing the interrupt service program of the central processing unit, which comprises the following steps of: when the interrupt service program is determined to be called in response to the timer overflow event, performing cumulative counting on the occurrence frequency of the timer overflow event to obtain a cumulative overflow frequency; and under the condition of determining that the interrupt service program is called in response to the timer capture event, calculating an actual period value of the tested signal according to the current accumulated overflow times and the capture period value, and resetting the accumulated overflow times. According to the embodiment of the invention, the period is calculated through the cumulative counting of the timer overflow events and the counting of the timer capture events, and the problem that the timer is limited by digits and cannot give consideration to low-frequency band width period coverage and measurement precision is solved.