674 results about "Voltage transducers" patented technology

The invention discloses a DC voltage divider parameter anomaly detection method based on harmonic characteristics, and the method comprises the steps: deploying an isolation type voltage sensor at a bus of a DC power transmission system, carrying out the voltage sampling through combining with an ADC, carrying out the data buffering and preprocessing, extracting a fundamental wave component and a target harmonic component through the fast Fourier transform, and calculating the harmonic distortion rate. And constructing a low-voltage arm capacitance and harmonic distortion rate model based on a voltage divider secondary circuit equivalent circuit and an energy distribution principle, and calibrating the low-voltage arm capacitance and harmonic distortion rate model. And designing a multi-objective optimization scheduling algorithm based on energy storage capacity and capacitance characteristics, and realizing dynamic power distribution and harmonic suppression of the system. And after abnormal triggering, the system automatically loads a capacitance compensation coefficient, adaptively adjusts algorithm parameters in combination with a measurement loop PI control link, reduces a harmonic amplification effect, and ensures that a measurement error is within an acceptable range. Harmonic monitoring precision and capacitance compensation optimization capability of the direct-current power transmission system are effectively improved, and stable operation of the system is guaranteed.

The invention provides an electric energy load real-time data acquisition and analysis method based on a low-cost scheme, and the method comprises the following steps: constructing a distributed data acquisition network, employing a combined hardware architecture of a current / voltage sensor and a low-power-consumption MCU, and achieving the data acquisition optimization through a dynamic sampling rate adjustment mechanism, when the load fluctuation exceeds a set threshold value, the sampling rate is automatically increased, when the load is stable, the sampling rate is reduced to a calibration sampling rate, and a Kalman filtering algorithm is adopted to carry out real-time data preprocessing; a three-level data transmission system is established, the three-level data transmission system comprises an edge acquisition node layer, a convergence gateway layer and a cloud processing layer, an optimized AODV routing protocol is adopted among nodes to construct a star-shaped and net-shaped hybrid network topology, and an optimal transmission path is dynamically selected according to the signal strength and the network congestion condition; a differentiated QoS transmission strategy is designed, and data is divided into three priorities of fault alarm data, real-time monitoring data and historical data.

A power conversion device includes a power conversion unit and a control unit. The power conversion unit includes a first semiconductor module. The first semiconductor module includes a plurality of power semiconductor elements. Some of the plurality of power semiconductor elements are detection target elements. The power conversion unit further includes a temperature sensor and a voltage sensor. The temperature sensor detects a surface temperature of the detection target element as a sensor position temperature. The voltage sensor detects an inter-terminal voltage of the detection target element. The control unit calculates a loss in the detection target element based on the sensor position temperature and the inter-terminal voltage, and estimates a maximum temperature based on the calculated loss.

The invention discloses a driver controller detection system, which comprises an acquisition module, an acquisition module, a processing module, an identification module, a judgment module, an analysis module and a generation module, the acquisition module captures contact information and electromagnetic interference data of contacts in real time by means of a high-dynamic voltage sensor and a broadband EMC probe; the acquisition module is triggered by a locomotive signal and records dynamic working condition data; the processing module aligns the data, performs denoising and extracts fault parameters; the identification module scans the voltage waveform and judges the transient contact failure; the judgment module monitors EMC data and compares an instruction position, and judges misoperation; the analysis module analyzes fault association, judges a composite type and triggers an alarm; the generation module generates a detection report and a log. According to the system, a multi-dimensional monitoring network is constructed under a dynamic working condition, data reliability is guaranteed, faults are accurately identified, a compound fault source is positioned, and the safety and stability of locomotive operation are improved through risk grading early warning and automatic reporting.

The invention discloses an output voltage detection method and system based on an aviation power supply, and relates to the technical field of aviation power supply voltage detection. A differential voltage sensor is connected to the output end of an aviation power supply, a high-frequency suppression capacitor is connected in parallel, the sampling rate of 20-50 times of the working frequency is set according to the type of the power supply, and the signals are collected and converted into analog voltage signals; the analog signal is subjected to two-stage filtering, is amplified to 0-5V through an instrument amplifier, and is converted into a digital voltage sequence through a 16-bit ADC (Analog to Digital Converter); calculating AC power supply effective value, peak value and other parameters, DC power supply average value, ripple coefficient and other parameters; comparing the characteristic parameters with a preset threshold value, determining that the characteristic parameters exceed the threshold value and recording related information; and a detection result is transmitted to a monitoring terminal through an RS485, data is locally stored, and a switching value is output to an alarm device when the data is abnormal. The method adapts to aviation power supply load fluctuation and environment temperature change, detection precision is high, data transmission and storage are safe, abnormity is accurately identified and early warning is carried out in advance, and aviation power supply operation and maintenance reliability and efficiency are improved.

A fastener driver includes a motor, a trigger, and a lifting assembly operable to be moved by the motor. The fastener driver includes a speed sensor, a voltage sensor, and a current sensor. A controller is configured to provide, in response to actuation of the trigger, power to the motor, receive speed signals from the speed sensor indicative of the speed of the motor, receive voltage signals from the voltage sensor indicative of the voltage of a battery pack, and receive current signals from the current sensor indicative of the current of the motor. The controller determines a torque of the motor based on the signals, determines whether the torque of the motor is less than or equal to a torque threshold, and activate an electronic clutch, in response to the torque of the motor being less than or equal to the torque threshold, to electronically brake the motor.

The invention relates to the technical field of power systems, in particular to a power distribution network voltage sag compensation method, system and device and a medium. The method comprises the following steps: monitoring the voltage level of a power distribution network in real time by using a high-precision voltage sensor to obtain voltage data; identifying a voltage sag event based on the acquired voltage data; performing feature extraction on the determined voltage sag event; according to the extracted characteristic quantity, a compensation strategy is dynamically formulated, and the compensation strategy comprises the step of determining the amplitude and duration of compensation; executing voltage compensation through the grid-connected inverter according to the determined compensation strategy, wherein the output of the grid-connected inverter is adjusted according to the impedance change of the power grid and the influence of voltage disturbance; and monitoring the compensated power grid voltage, evaluating a compensation effect, and feeding back an evaluation result to optimize a subsequent compensation strategy. According to the invention, the voltage sag event can be rapidly and accurately detected, and an effective compensation strategy is formulated for compensation.

In order to diagnose the degree of deterioration of a secondary battery (2), a device (1) comprising a sensor unit (11) including a voltage sensor (15), and a control device (10) having a mathematical model storage unit, a history data storage unit, and a computation function, is electrically connected to the secondary battery (2). Numerical data reflecting a measurement value of internal resistance is stored in the history data storage unit in association with the time axis. A mathematical model, which is defined so as to derive a parameter having a value that varies according to the numerical data at each of a plurality of time points in a predetermined period on the time axis, and the length of said period, is saved in the mathematical model storage unit. The control device (10) derives the parameter by computation in which numerical data accumulated within a period from a specific time point in the past to the most recent time point is applied to the mathematical model, and estimates the degree of deterioration of the secondary battery (2) on the basis of the parameter.

The invention discloses a radio frequency voltage sensor and a plasma source system. The radio frequency voltage sensor comprises a signal acquisition module and a signal processing circuit. The signal processing circuit comprises a rectangular wave pulse detection module, a signal conversion module, a peak holding module and an operation output module; the input end of the rectangular wave pulse detection module receives a pulse synchronization signal; the signal conversion module is connected with the output end of the signal acquisition module; the first input end of the peak holding module is connected with the output end of the signal conversion module, and the second input end of the peak holding module is connected with the output end of the rectangular wave pulse detection module; and the operation output module is connected with the output end of the peak holding module. According to the radio frequency voltage sensor and the plasma source system provided by the invention, the peak voltage corresponding to the single-stage pulse can be accurately detected, the peak voltage corresponding to the multi-stage pulse can also be stably detected, the output is prevented from jumping to zero during the pulse closing period, and the stability and practicability of measurement are improved.

An adaptive IoT power plug system for intelligent load management and remote control, consisting of: a power plug housing configured to be inserted between a power outlet and an electrical appliance; an embedded sensor array comprising at least one voltage sensor, at least one current sensor, and at least one power sensor and configured to continuously monitor the electrical parameters of the connected device; a microcontroller unit (MCU) operatively coupled to the sensor array and configured to execute a load prioritization technique that dynamically determines power allocation based on real-time consumption data and user-defined priority levels for one or more connected loads; a semiconductor switching module electrically connected to the MCU and configured to selectively interrupt or modulate the power supply to the connected device based on commands from the load prioritization technology; a wireless communication module integrated into the MCU for bidirectional data exchange via at least one wireless protocol selected from Wi-Fi, Zigbee or Bluetooth Low Energy; a user interface that can be accessed remotely via a mobile or web application and enables the configuration of load priorities, real-time monitoring of power consumption, scheduling of device operation, and manual override of switching commands; and a power management subsystem including a power harvesting module configured to provide supplemental power to the system's electronic components, thereby reducing dependence on the main power source; The system autonomously adjusts the power distribution between multiple connected devices to load fluctuations and predefined user priorities in order to optimize energy efficiency and prevent overloading of the circuit.

The invention relates to the technical field of power system fault monitoring, and discloses a measurement switch fault identification and early warning system, which comprises a signal acquisition unit, a feature analysis unit, a fault judgment unit and an early warning trigger unit. The signal acquisition unit acquires a potential fluctuation sequence and an exciting current pulse sequence through a contact voltage sensor and a coil current transformer; the feature analysis unit extracts time-frequency domain and statistical domain feature groups by means of wavelet transform and moment function analysis; the fault judgment unit generates a fault judgment vector by adopting kernel principal component analysis fusion features; and the early warning triggering unit triggers four-level early warning by using dynamically updated grading threshold values (including historical reference values and online dynamic values). According to the system, through multi-modal feature fusion, dynamic threshold adjustment and a grading early warning strategy, accurate identification and grading early warning of measurement switch faults are achieved, the fault identification accuracy and early warning timeliness are improved, and the system is suitable for the field of electric power and industrial automation.

A charging communication module and a charging method of an electric vehicle are provided. The charging communication module includes a voltage sensor that senses a voltage level of a signal line to generate a sensing result, a controller that generates first control information based on the sensing result and converts information of a first communication format provided from the signal line into information of a second communication format, and a switch device that electrically connects or disconnects the signal line with or from the controller based on the first control information.

The invention provides a power storage device and a current interruption method. A power storage device is provided with a power storage device module, a voltage sensor, a current sensor, an explosion fuse, and a controller. The voltage sensor detects a voltage value of the power storage device module. The current sensor detects a value of a current flowing through the power storage device module. The explosion fuse is connected in series with the power storage device module. In the controller, a voltage condition and a current condition are set. The voltage condition is predetermined according to a voltage value detected by the voltage sensor. The current condition is predetermined according to the current value detected by the current sensor. The controller operates the explosion fuse when both a voltage condition and a current condition are satisfied.

The invention relates to the technical field of power filters, and discloses a fault-tolerant control method, system, equipment, medium and product for an active power filter, and the method comprises the steps: building an observer of a fault sensor through the type of the fault sensor after the type of the fault sensor of the active power filter is determined, and outputting an observation value through the observer; and fault-tolerant control is carried out on the fault sensor through the observed value, so that the fault-tolerant control is carried out on the power grid voltage sensor, the inverter output current sensor and the direct current side voltage sensor without changing a modulation strategy, and the accuracy of fault-tolerant control of the active power filter is improved; and stable operation and reliability of the system of the active power filter are ensured.

The invention provides a DC Buck converter voltage and current sensor fault-tolerant control system, which comprises the following steps: establishing a time-varying state space model of a DC Buck converter, and dynamically reconstructing a parameter matrix by the time-varying state space model according to the real-time change of a duty ratio; the time-varying augmentation fault estimator is used for monitoring faults of a voltage sensor and a current sensor in real time, the fault estimator is implemented through a model reference adaptive filter, a Buck converter is adopted to construct a reference model in a healthy state, and efficient real-time diagnosis and correction can be achieved through the faults of the voltage sensor and the current sensor of the Buck converter. And various types of sensor faults such as a jump fault, an offset fault, a stuck fault, a high-frequency fault and a gap fault can be effectively estimated. For measurement distortion of the voltage sensor and the current sensor, the fault estimator can provide comprehensive evaluation information of fault types and fault severity.

The invention relates to a real-time fault monitoring method for a circuit breaker. The method comprises the following steps: acquiring a current signal of a zero-sequence current sensor; whether the current signal is abnormal or not is judged, and if yes, the current signal is decomposed into multiple frequency bands through wavelet packet transformation; extracting a high-frequency component and a low-frequency component in the frequency band, and determining whether to trigger a fault early warning condition according to the energy of the high-frequency component and the low-frequency component; if the fault early warning condition is triggered, acquiring a voltage signal of a voltage sensor; and performing FFT harmonic component analysis on the voltage signal, extracting waveform features, and determining the fault type of the circuit breaker by using a trained fault feature model. According to the invention, the current is firstly analyzed to obtain the preliminary analysis of whether the circuit breaker has a fault, and then the voltage is finely analyzed, so that the fault type is determined, the fault judgment time is greatly shortened, the fault type confirmation efficiency is improved, the fault generation trend can be analyzed, and the fault can be effectively handled.

The invention relates to a power distribution cable operation early warning method and device. The method comprises the steps that current and voltage on a cable are monitored in real time through a current sensor and a voltage sensor; inputting the current and the voltage into a dynamic analysis module based on machine learning, and performing multivariable feature extraction and trend point prediction by adopting a long-short-term memory network model; establishing a baseline model in combination with an adaptive algorithm according to the historical operation data and the environment variables; through model training, the current, voltage and temperature threshold range is adjusted in a self-adaptive mode; when the operation data exceed a confidence interval or exceed a dynamic threshold value, early warning is triggered; performing grading processing on the abnormity through an early warning system based on a multi-stage risk assessment mechanism; and after the early warning is triggered, the accurate positioning of the fault position is realized through the distributed sensor nodes. According to the method and the device, an effective baseline model can be established to monitor and predict the operation state of the power distribution network cable, so that the overload problem can be found and processed in time, and safe and stable operation of a power system is ensured.

The present invention relates to the technical field of new energy vehicles, and discloses a method for monitoring battery fires in energy vehicles based on big data, including: step 1, arranging a multimodal sensor network at the battery unit, module and system level, wherein the sensors include temperature sensors, voltage sensors, current sensors, gas sensors, optical fiber sensors and vibration sensors to collect raw data related to temperature, voltage, current, gas concentration, heat distribution and vibration during battery operation. By arranging a multimodal sensor network, including temperature, voltage, current, gas, optical fiber and vibration sensors, and combining a dynamic sampling frequency adjustment strategy, the granularity and sensitivity of data collection are intelligently adjusted according to the battery operating conditions, and comprehensive feature data is generated to achieve full coverage and accurate monitoring of the battery operating status, and obtain the effect of multi-dimensional and high-quality monitoring data, providing a solid data foundation for subsequent analysis.

The invention discloses a new energy reactive power control method for transient overvoltage suppression of a direct-current sending-end power grid, and the method comprises the steps: estimating the change trend of the voltage of a power grid through the current and historical signals of the voltage of the power grid, calculating the additional value of a reactive power instruction to generate a reactive power advanced control effect, and combining a reactive power optimization value subjected to delay compensation. And the instruction value can ensure that the new energy effectively outputs reactive power to participate in transient overvoltage suppression of the direct current converter station. According to the method, the new energy reactive power instruction value can be improved and optimized only on the basis of the existing electrical quantity observation signal without modifying the topological structure of a direct current converter station and a new energy power generation system and without additionally arranging various reactive compensation devices or various voltages or voltage sensors; no additional influence is generated on links such as new energy power instruction tracking control and direct current converter station power control, and the method has good engineering practicability and scene adaptability.

The embodiment of the invention discloses a phase-locked loop, a control method, electronic equipment and a storage medium, and the phase-locked loop comprises a voltage sensor which is used for measuring a voltage signal of a power grid in real time; the SOGI module is used for receiving an output signal of the voltage sensor and generating a D-axis output signal and a Q-axis output signal; the dynamic gain adjusting unit is used for dynamically adjusting the gain of the SOGI module by separating fundamental wave and harmonic wave components through a wave trap according to a residual signal between the D-axis output signal and the power grid voltage signal; and the minimum value amplitude limiting processing unit is used for carrying out minimum value amplitude limiting processing on the gain output by the dynamic gain adjusting unit, so that the gain of the SOGI module is not lower than a preset minimum value. According to the invention, the technical problem that the existing scheme cannot accurately adjust the appropriate gain of the SOGI link is solved.

An electronic device may include a transmitter coupled to an antenna over a signal path that runs through a front end module. The front end module may include a power amplifier disposed on the signal path. The front end module may include first, second, and / or third signal attenuators disposed on the signal path between an input of the amplifier and the transmitter. The front end module may include a voltage sensor that measures a bias voltage of the amplifier, a temperature that measures a temperature of the amplifier, and / or an impedance sensor that measures an impedance of the antenna. The first signal attenuator may be adjusted based on the measured bias voltage, the second signal attenuator may be adjusted based on the measured temperature, and the third signal attenuator may be adjusted based on the measured impedance to mitigate changes in the amplifier as operating conditions change over time.

The invention provides an aircraft generator controller equivalent closed-loop test platform and test method, and belongs to the field of generator controller test, and the platform comprises an upper computer which is used for generating a generator equivalent model and deploying the generator equivalent model on a lower computer for operation; the lower computer comprises a controller and a multifunctional data board card, the controller is used for operating the generator equivalent model, and the multifunctional data board card is used for obtaining the excitation voltage output by the generator controller and outputting the voltage of the voltage regulating point to the generator controller; the signal conditioning equipment comprises a voltage sensor and a power amplifier, the voltage sensor is used for processing the excitation voltage output by the generator controller, and the power amplifier is used for amplifying the voltage of the voltage regulating point output by the multifunctional data board card; the external power supply comprises a direct-current power supply and a three-phase alternating-current power supply, the direct-current power supply is used for externally supplying power to the generator controller, and the three-phase alternating-current power supply is used for simulating three-phase voltage of the permanent magnet generator.

The utility model relates to the field of integrated circuit chips, in particular to an integrated circuit chip burning device with a voltage monitoring mechanism, which comprises a burning machine body, a main body for burning an integrated circuit chip, and a display controller for checking the burning condition of the integrated circuit chip. According to the utility model, a burner station is arranged; a voltage monitoring point; a voltage sensor; a first voltage monitor; when an integrated circuit chip is placed at the burner station for burning, a voltage monitoring point in the burner station transmits the voltage condition of the integrated circuit chip to the voltage sensor through the first external connection wire, and then the voltage condition is transmitted to the first voltage monitor through the voltage sensor. And after the integrated circuit chips are burnt and before the materials are taken, the portal frame drives the second voltage monitor and the power supply point measuring head to reach the position above the integrated circuit chips in the burner station so as to carry out one-to-one point measurement on the integrated circuit chips.

The invention relates to the technical field of transformers, in particular to an intelligent online monitoring method and system for operating parameters of a transformer. Firstly, a transformer fault prediction model based on a neural network model is constructed and trained, and then a transformer real-time box body temperature collected by a temperature sensor, a transformer real-time input voltage and a transformer real-time output voltage collected by a voltage sensor, and a transformer real-time working audio collected by a sound sensor are obtained; judging whether the transformer is abnormal or not based on the parameters and the real-time oil liquid height ratio of the transformer collected by the oil level sensor; when an abnormality occurs, determining an abnormality risk level of the transformer based on transformer body parameters, a transformer real-time box body temperature, a transformer real-time input voltage, a transformer real-time output voltage, a transformer real-time working audio, a transformer real-time oil height ratio and the trained transformer fault prediction model; and the abnormal risk level is sent to the monitoring terminal.

The invention relates to the field of fault diagnosis, discloses a brushless motor controller fault diagnosis method and system, and is used for providing powerful guarantee for reliable operation of a brushless motor controller. The method includes the steps that three-phase current and bus voltage signals are collected in real time through current and voltage sensors, and a characteristic frequency interval is extracted; the method comprises the following steps: extracting topological invariants by adopting a fractional order derivative and a continuous coherence algorithm, describing mechanical damage characteristics, taking the topological invariants and the mechanical damage characteristics as inputs, simulating motor system dynamic behaviors by virtue of a quantum state evolution model, calculating phase space trajectory divergence, triggering a graded fault decision according to the divergence, and accurately distinguishing parametric, mechanical, winding and pre-out-of-step faults. And outputting the highest-level fault instruction according to the priority and executing protection during multi-fault concurrence. The method comprehensively and accurately extracts fault features, has a dynamic adaptive capability, can predict a fault trend and effectively process a multi-fault concurrency condition, provides a solid guarantee for reliable operation of a brushless motor controller, and is suitable for multiple fields.

A power storage module which includes a plurality of batteries connected in series and is capable of controlling operation of a heater on the basis of a battery with the lowest battery temperature is provided. The power storage module includes a first battery and a second battery connected in series, the heater, and a control circuit; the heater is provided close to the first battery and the second battery and is electrically connected to an IC included in the control circuit; the control circuit includes a first voltage sensor that senses a voltage of the first battery, a second voltage sensor that senses a voltage of the second battery, and a current sensor that senses a current flowing through the first battery and the second battery; and in charging the first battery and the second battery, the heater is turned on by a signal from the IC in the case where a differential voltage between a first peak voltage of dQ / dV calculated from a detection value of each of the first voltage sensor and the current sensor and a second peak voltage of dQ / dV calculated from a detection value of each of the second voltage sensor and the current sensor is higher than or equal to 5 mV.

The utility model relates to the technical field of water electrolysis cells, and in particular to a fully automated control and monitoring system for water electrolysis cells, comprising an electrolysis cell, a power supply cable fixedly connected to the side of the electrolysis cell, a current sensor and a voltage sensor fixedly connected to the surface of the power supply cable, a power source fixedly connected to the side of the power supply cable, a temperature sensor and a liquid level sensor fixedly connected to the outer wall of the electrolysis cell, and an air outlet pipe fixedly connected to the top of the electrolysis cell; through comprehensive intelligent transformation of the electrolysis cell, a variety of sensors with signal output capabilities are introduced, including current sensors, voltage sensors, pressure sensors, liquid level sensors, flow sensors, temperature sensors, etc., and the signals detected by each sensor are input into a PLC control central system, which can not only display the operation status of the equipment in real time, but also realize the basic use of remote control equipment, and achieve the requirement of unattended operation.

In disclosed embodiments, a voltage sensor of a computing device is configured to determine a voltage level of a supply voltage provided by a power supply to processor circuitry. Comparator circuitry may perform a comparison operation that compares the determined voltage level to a threshold. A temperature sensor may determine a temperature of at least a portion of processor circuitry. Power control circuitry may initiate a power management operation to adjust voltage margin based on a result of the comparison operation. Additionally, the power management circuitry may control the comparator circuitry to impose an offset on the comparison operation. The power control circuitry may determine a magnitude of the offset based on a pre-determined effect of the determined temperature on voltage margin parameters for at least a portion of the processor circuitry.

The invention discloses a battery active safety early warning method and a related device, and belongs to the technical field of battery safety. The method comprises the following steps: monitoring and collecting expansion force, voltage and temperature data of a battery in real time; inputting the expansion force, the voltage and the temperature data of the battery into a pre-established multi-factor comprehensive early warning model to obtain an early warning grade; and taking corresponding early warning and fire fighting measures according to the early warning level. The device comprises a data acquisition module, a main control unit, an alarm device and a fire fighting device, the data acquisition module comprises an expansive force sensor, a voltage sensor and a temperature sensor which are mounted on a battery; and the main control unit is used for judging the working state of the battery according to the expansion force, voltage and temperature data acquired by the data acquisition module and controlling the alarm device and the fire fighting device to work. According to the invention, timely early warning and measure taking under the abnormal state of the battery can be ensured, and the safety of the battery system is improved.

Aspects of the disclosure are directed to voltage sensing for safety-critical applications. In accordance with one aspect, the disclosure includes a multi-phase ring oscillator (RO) configured to operate in a first voltage domain; a frequency counter coupled to the multi-phase RO, the frequency counter configured to accumulate a plurality of phase cycles from the multi-phase RO over a time duration to generate a digital count word; an alarm processor coupled to the frequency counter, the alarm processor configured to receive an alarm state signal from the frequency counter; and a heartbeat detector coupled to the multi-phase RO, the heartbeat detector configured to operate in a second voltage domain and configured to detect a periodic recurrence of a heartbeat pulse to determine an integrity of the sensor function as a whole and alarm state signal in particular.