256 results about "Power sensor" patented technology

The invention provides a bridge cable force health state monitoring method, device and equipment, and the method comprises the steps: building a target finite element model corresponding to a bridge based on bridge data collected by a self-powered sensor array and an initial finite element model; a space-time diagram corresponding to the bridge is constructed according to the target finite element model, the hidden state corresponding to each node in the space-time diagram is extracted through a gating diagram time sequence convolutional network, the nodes in the space-time diagram represent inhaul cables and supporting structures contained in the bridge, and edges in the space-time diagram represent the physical connection relation and dynamic interaction between the inhaul cables and the supporting structures; constructing a causal graph between the cable clamping stress of the bridge and the environment variable so as to dynamically adjust the early warning threshold value corresponding to the bridge; and monitoring the cable force health state of the bridge based on the hidden state corresponding to each node in the space-time diagram and the dynamically adjusted early warning threshold, and obtaining a health monitoring result corresponding to the bridge. According to the invention, the problem of low monitoring accuracy in the prior art is solved.

The invention discloses a photovoltaic energy storage system control method and system based on data driving, and relates to the technical field of power grid power control, and the method comprises the steps: collecting photovoltaic environment data, and carrying out the preprocessing; processing the satellite cloud picture data through a pre-trained light spot prediction model, predicting a light spot coverage track, and outputting a fusion feature data set; constructing a power loss prediction curve based on the light spot influence time window and the current deviation value in the fusion feature data set, performing power influence conversion on the coverage rate of the shelter, and generating a power correction amount; performing dual-channel compensation on photovoltaic energy storage to generate a compensation instruction set; performing power adjustment on the photovoltaic energy storage adjacent to the position of the shielding object, and outputting a control completion signal; and after the power sensor receives the control completion signal, the photovoltaic energy storage control effect is judged. According to the invention, through cooperation of the light spot coverage trajectory modeling driven by the satellite cloud picture and the spatial verification of the string current data, the dynamic and accurate calibration of the photovoltaic shielding compensation is realized.

In some implementations, a plurality of thermoelectric devices may be arranged to cool one or more components of a downhole drilling component during drilling operations. A current can be applied to one or more thermoelectric devices to generate a cooling effect. The thermoelectric devices can be located and arranged so that they cool some or all of a bottom hole assembly or components thereof, such as one or more sensors, batteries, processors, electrics, and the like. The thermoelectric devices also may be located and arranged to cool sensors, batteries, other downhole components, and / or drilling mud in a wellbore during drilling operations. A plurality of thermoelectric devices may be used to generate electric power downhole from a temperature difference. The electric power may be used to power sensors, processors, charge batteries, and be used by one or more downhole electric components, such as those in a bottom hold assembly. One or more thermal storage devices may be used with the thermoelectric devices to store thermal energy for use when needed. A control system may be used to control the activation and / or deactivation of one or more thermoelectric devices to provide cooling when desired.

Systems, structures, circuits, packages and methods provide low-power devices such as sensors and sensor packages having one or more Wiegand coils that can be used for activation of a sensor or other device, as well as potentially supplying operating power. In some embodiments, one or more Wiegand coils can be located in a sensor package, e.g., as one or more discrete components in the package and / or on formed on or connected to a semiconductor die within the package, for providing wake-up and / or continuous power. The Wiegand coil(s) can be separated from the sensor die in some embodiments. In some embodiments, the Wiegand coil(s) can be constructed on the die itself.

The invention relates to an electric power big data efficient collection and storage system and method based on brain-computer interaction, and the system comprises an electroencephalogram signal collection module which is used for obtaining an electroencephalogram signal of a user through a brain-computer interface, and transmitting the electroencephalogram signal to an edge node in real time; the intention recognition module is used for recognizing the current intention of the user by adopting a pre-training intention recognition model based on the brain wave signal of the user and generating a corresponding electric power data acquisition instruction; the data acquisition control module is used for dynamically scheduling the power sensor nodes in different areas to carry out power data acquisition according to the current intention of the user in combination with the state of the power sensor nodes fed back by the edge nodes in real time; the edge calculation processing module is used for carrying out edge processing and feature compression on the collected power data by adopting edge nodes; and the distributed storage module is used for carrying out distributed storage on the power data subjected to feature compression. Compared with the prior art, the method has the advantages of non-contact rapid instruction input, improvement of response efficiency and the like.

The application relates to the technical field of power fault positioning, and discloses a power fault area positioning precision identification method based on Beidou technology, which comprises the following steps: collecting power grid line data, filling in missing values according to contexts, and constructing a target area power network topology; constructing a regional convergence access equipment deployment optimization objective function and solving the function to obtain an optimal access equipment deployment position scheme and deploy the scheme; converging target area power sensor data by using the deployed access equipment, constructing a power fault identification model, and identifying and positioning power faults of the target area converged power sensor data. The application carries out information fusion based on the position information of adjacent power sensors and the time sequence information of power sensor data, obtains a feature vector representing the abnormal state of the power sensor data, identifies power faults of the power sensor data, and positions the power faults according to the transmission direction of the power sensor data by the access equipment.

The invention relates to a dielectric elastomer-piezoelectric composite multi-source energy collection device for a non-intrusive electric field sensor, and belongs to the technical field of power system self-powered sensors. The device comprises a base, a dielectric elastomer unit, a piezoelectric cantilever beam, a mass block and a rectification energy storage circuit. The dielectric elastomer deforms under the action of an alternating electric field, the piezoelectric cantilever beam is driven through coupling to generate mechanical vibration, and the piezoelectric layer further converts mechanical energy into electric energy to be output. The resonant frequency of the system is adjusted by setting the mass block, so that the resonant frequency is matched with the external electric field frequency or the environment vibration frequency, and the energy conversion efficiency is optimized. The device can collect external electric field energy in a non-intrusive mode and provide a stable power supply required by a low-power-consumption sensor. The device is compact in structure, high in sensitivity and suitable for electric field monitoring in scenes such as ultrahigh-voltage power transmission lines and transformer substations, and provides reliable energy support for self-powered sensors of power equipment.

The invention relates to the technical field of intelligent display, in particular to an intelligent identification method and system based on energy-saving control, and the method comprises the following steps: S1, collecting external environment parameters through a low-power-consumption sensor disposed in an intelligent identification device, the environment parameters comprising environment illumination intensity, a human body or object approach signal and equipment electric quantity information, and transmitting the environment illumination intensity to an intelligent identification device; the data of the environmental parameters are judged; the system can automatically adjust the display brightness and the refresh frequency according to the environment illumination, the target distance and the electric quantity, refresh according to the demand by combining the content priority, and automatically switch the working state and the dormant state according to the human body approaching, the timed task or the remote instruction; in the aspects of communication and energy management, the communication period and power consumption are adjusted in real time, energy self-balancing is achieved, and the service life of equipment is prolonged; in addition, the system periodically analyzes historical operation data and self-learns and optimizes control parameters, so that energy consumption is continuously reduced in long-term operation, display efficiency is improved, and performance stability is kept.

An electrical storage system comprises a first energy storage system and a second energy storage system having a lower electrical energy density and a higher rated electrical power output capability than the first energy storage system, at least one electrical power sensor configured to sense over a plurality of time intervals, electrical power usage information for a load electrically coupled to the first energy storage system and the second energy storage system, and at least one computer processor programmed to determine based, at least in part, on the sensed electrical power usage information and a power requirement of the load in a current time interval, charging / discharging parameters for each of the first energy storage system and the second energy storage system, and control charging / discharging of each of the first and second energy storage systems in accordance with the determined charging / discharging parameters during the current time interval.

The invention relates to the technical field of power electronics and battery management, and provides a mobile power adapter and a dynamic power distribution and safety monitoring method thereof. The method comprises the following steps: acquiring the connection state of an external power supply, if the external power supply is detected to be connected, entering an adapter mode, and supplying power to equipment by a lithium battery pack through a bidirectional DC-DC conversion circuit; in the adapter mode, load data of an equipment charging channel, a self battery charging channel and two independent output interfaces are monitored in real time through a power sensor, and the electric quantity of equipment, the electric quantity of a lithium battery pack and the power of an external power supply are obtained; running data of a lithium battery pack and an output interface are collected in real time through a built-in temperature sensor, a built-in voltage sensor and a built-in current sensor, and the risks of over-charging, over-discharging, short circuit and overheating are detected in real time in combination with an abnormal state recognition algorithm; periodically detecting the internal resistance of the lithium battery pack, judging the aging degree of the battery according to the change of the internal resistance, and dynamically reducing the charging current based on the aging degree of the battery.

The invention discloses a data processing method for monitoring the state of an explosion-proof device, and the method comprises the steps: deploying a low-power-consumption sensor at a key part of the explosion-proof device, collecting environment data in real time, and dynamically adjusting the working state and position of the low-power-consumption sensor through an improved particle swarm optimization algorithm; the edge device pre-processes the environment data and transmits the environment data to the cloud; the cloud constructs a simulation model based on a digital twinning technology, constructs a time sequence diagram learning model through fusion of a graph convolutional network and a long-short term memory network, and realizes fault prediction, state estimation and trend analysis; and fault early warning information is generated based on an intelligent monitoring result, and equipment fault prediction, alarm and repair suggestions are provided. According to the invention, safe, efficient and intelligent monitoring of explosion-proof equipment is realized.

The invention discloses an asphalt concrete mixing quality evaluation method based on digital twinning. A power sensor, a three-axis vibration acceleration sensor and an infrared temperature sensor array are arranged at key nodes of a stirring cylinder, and multi-physical field data in the stirring process are collected in real time and mapped to a three-dimensional digital twinborn model. A self-adaptive wavelet threshold algorithm is adopted to carry out noise reduction on power and vibration signals, and a dynamic time warping algorithm is utilized to realize time alignment of multi-source signals. High-dimensional features such as fluctuation variance, power spectral density peak ratio, vibration entropy, temperature variation coefficient and the like are extracted, and significant features are screened through an XGBoost model; the method comprises the following steps: constructing a time sequence evolution rule of a long-short-term memory network capture feature with a time attention mechanism, automatically weighting influence weights of different stirring stages, and finally outputting a comprehensive uniformity index to quantitatively evaluate the stirring quality of asphalt concrete, thereby providing technical support for intelligent production and quality online management and control.

Methods and apparatus for power management in data storage devices are provided. One such data storage device (DSD) includes a non-volatile memory (NVM), a set of hardware processing engines, and a power sensor to measure a total power consumption of the set of hardware processing engines. A processor is configured to determine a power-per-processing event value for each of the set of processing engines based on total power consumption measurements, then control delivery of power to the processing engines based on the power-per-processing event values in accordance with a power budget. In some examples, the DSD employs a least-squares procedure to estimate the power-per-processing event values so the values can be determined without needing to measure the individual power consumption of the processing engines. Procedures are also provided for assessing the accuracy of the power-per-processing event values and for controlling further operations based on the assessment.

The present invention provides a heating apparatus for heating a load. The heating apparatus comprises a heater having a heating element for receiving electrical power and for converting the electrical power into heat to heat a heating surface of the heater. The heating apparatus also comprises a temperature sensor for sensing and outputting a measurement of the temperature of the heating element, a power actuator for providing the electrical power to the heating element of the heater, a power sensor for sensing and outputting a measurement of the power provided to the heating element by the power actuator, and control circuitry for controlling the power actuator to control the power delivered by the power actuator to the heating element. The control circuitry is configured to receive the temperature measurement from the temperature sensor, receive the power measurement from the power sensor, combine the temperature measurement and the power measurement, and control the power actuator in dependence upon the combined temperature measurement and power measurement. This ensures that the temperature of the heating surface is constant throughout a period when the load is applied.

The invention discloses a power detection device and a laser module, and the device comprises a beam splitter prism which is used for carrying out the light splitting of laser emitted by a laser light source, so as to obtain detection light; the mounting bracket is used for mounting the beam splitter prism on the front side of the laser light source; the power sensor is used for detecting the detection light rays separated by the beam splitter prism; wherein the power sensor is fixedly connected with the mounting bracket, so that the power sensor is arranged on the light emitting side of the beam splitter prism. The power detection device and the laser module have the beneficial effects that the power detection device and the laser module which can adapt to the laser light source so as to realize power detection are provided.

This utility model belongs to the field of electronic product technology, and specifically relates to a plug-in signal transmission sensor with wireless power supply. The housing assembly includes a lower shell, a middle section, an upper shell, and a probe, which are arranged sequentially from top to bottom. The lower end of the probe is detachably connected to the upper end of the upper shell, the lower end of the upper shell is detachably connected to the upper end of the middle section, and the lower end of the middle section is detachably connected to the upper end of the lower shell. The electronic components are installed within the space enclosed by the upper, middle, and lower shells. Signal data is directly exported through the upper shell, eliminating the need to transmit signal data to the lower base contacts as in older products, effectively improving the stability and efficiency of signal data export. The plug-in connection avoids the use of wires, helping to solve problems caused by wiring in older products, thereby saving maintenance time and costs.

The self-driven sensor and bearing slip rate in-situ monitoring method disclosed by the specification relates to the technical field of bearing detection and comprises a ferroelectric PVDF film, an upper flexible electrode, a lower flexible electrode and a spacer. The ferroelectric PVDF film is bonded to the Cu electrode area on the upper surface of the lower flexible electrode. The spacer is arranged on the two sides of the ferroelectric PVDF film in the horizontal direction. The upper flexible electrode is bonded to the spacer. When subjected to external pressure, the upper flexible electrode is deformed to contact the ferroelectric PVDF film. The self-driven sensor and bearing slip rate in-situ monitoring method provided by the present application meets the requirements of non-interference, easy integration, self-power supply and high-precision monitoring for bearing slip rate monitoring, and realizes precise wireless in-situ monitoring of bearing slip rate.

1. Name of the product in this design: Solar sensor lamp (TG-TY10320). 2. Purpose of this design: for lighting. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) (e.g., a vehicle, low-power sensor) may identify that the UE satisfies a set of conditions for a stationary state. The stationary state may be associated with a configuration for transmitting a position message (e.g., a basic safety message (BSM)) while the UE satisfies the stationary state. The UE may identify a periodicity at which to transmit the position message based on the UE satisfying the set of conditions for the stationary state, where the periodicity associated with a stationary state may be larger than a periodicity associated with a non-stationary state. The UE may transmit (e.g., broadcast) the position message over a sidelink in accordance with the configuration and based on identifying that the UE satisfies the set of conditions for the stationary state.

The invention discloses a plasma activated water preparation system based on fuzzy PID (Proportion Integration Differentiation) adaptive temperature and power matching cooperative control. The plasma activated water preparation system comprises a human-computer interface, a main controller, a temperature / power sensor, a parallel double fuzzy PID controller, an intelligent coordinator, a power / temperature actuator and a plasma reaction machine, a temperature / power sensor sends a water body temperature Tfb and a discharge power Pfb to a main controller in real time, a temperature fuzzy PID controller and a power fuzzy PID controller output suggested powers Ut and Up, an intelligent coordinator outputs a final power instruction and a cooling control signal after arbitration according to a state machine that Tfb is smaller than or equal to Tset normal power, Tfb is larger than Tset and Pfb is larger than Pmin and power is preferentially reduced, and Tfb is larger than Tset and Pfb is smaller than or equal to Pmin and is forcibly cooled. And the power actuator continuously adjusts the discharge power according to the discharge power, and the temperature actuator implements auxiliary heat dissipation, so that the water temperature is accurately locked in the optimal active matter generation interval under the nonlinear and time-varying working conditions, the discharge intensity is ensured not to be lower than Pmin, and high-activity, high-energy-efficiency, continuous and stable plasma activated water preparation is realized.

This invention relates to a dual-mode polycaprolactone (PCL) building energy-saving film and its preparation method. The dual-mode PCL building energy-saving film of this invention uses a temperature-sensitive PCL and hydrogel composite layer as the outer layer, and adds VO2-based materials. It can automatically reflect near-infrared light during high summer temperatures and automatically project sunlight during low winter temperatures; it requires no external power supply and is purely passively regulated. Furthermore, a PCL-based triboelectric nanogenerator array serves as the middle layer, which can collect mechanical energy from the building surface environment to power low-power sensors within the building, and can also connect surplus energy to the grid or store it. The transparent PCL and nanocellulose composite layer provides better mechanical support and is easy to install.

Methods, systems, and apparatus, for predicting power measurements on a device using predictive models. One of the methods includes continually generating, by a power sensor of a power management system of a device, a respective measure of power consumed at each of a plurality of time points. A power prediction module receives a sequence of N power measurements consumed for N previous time points and generates a predicted power measurement at a future time point based on a trained predictive model.

This electronic device for supplying charging power to a robot, comprises: a memory including one or more storage media storing instructions; a sensor unit including a power sensor for sensing internal power of the electronic device and a docking sensor for sensing whether the robot is docked; and at least one processor communicatively connected to the memory and the sensor unit, wherein the instructions, when executed individually or collectively by the at least one processor, cause the electronic device to: obtain a voltage value through the power sensor while operating in a normal mode for performing a charging function for the robot; and if the voltage value is less than a threshold voltage value, change the normal mode to a first sleep mode or a second sleep mode on the basis of docking data from the docking sensor, wherein the first sleep mode is a mode in which the charging function is not performed while power is not supplied to the sensor unit, and the second sleep mode is a mode in which the charging function is not performed while power is supplied to the sensor unit.

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

A leak detection system that requires no externally powered sensors or SCADA communication systems and that provides alerts and other sensor data to users via a web-enabled portal includes at least one sensor; a sensor monitor; and a web-enabled remote computer.

A cooling device failure detection method and device (10) therefor, the cooling device failure detection method being provided for detecting a failure of a cooling device installed in a vehicle, the method comprising: obtaining (S201) an expected power consumption of the cooling device based on a power consumption map predefined for the cooling device, calculating (S202) an expected cumulative power consumption based on the expected power consumption, obtaining (S203) a real-time power consumption of the cooling device by a power sensor installed in the power supply unit of the cooling device, calculating (S204) an actual cumulative power consumption based on the real-time power consumption, and comparing (S205) a difference between the expected cumulative power consumption and the actual cumulative power consumption with a predetermined error tolerance,to determine whether the cooling device is defective.

According to the piezoelectric ionic gel for tissue repair and the preparation method, PVDF is efficiently induced to be converted from a non-piezoelectric phase to a piezoelectric beta phase through mechanical stretching, and molecular chains are highly oriented; meanwhile, free ions in the ionic liquid are redistributed under the action of a stretching field to form a built-in electric field, so that efficient conversion and self-polarization of a PVDF phase are realized through the synergistic effect of PVDF and the ionic liquid, and excellent and stable piezoelectric performance can be shown without additional high-voltage electric field treatment. The ionic gel prepared by the method not only has high piezoelectric property, but also has high ionic conductivity, excellent stretchability (gt; 500%), good transparency and environmental stability, and has huge application potential in flexible self-powered sensors, electronic skin, soft robots, human-computer interaction interfaces and energy collection devices.

The invention relates to the technical field of ocean energy sensing equipment, in particular to a self-powered sensor and method for wave height monitoring. The self-energized sensor comprises a first shell with two open ends, a sealed second shell and a plurality of power generation units. The upper end of the first shell is fixedly installed on one side of the second shell, and the lower end of the first shell is bent outwards. The multiple power generation units are sequentially arranged in the axis direction of the second shell. The power generation unit comprises a rotating part, a first substrate and a second substrate, a dielectric layer and an electrode layer which are different in electronegativity are arranged on the two opposite side walls of the first substrate and the second substrate, the rotating part rotates to drive the second substrate to rotate relative to the first substrate, and then the dielectric layer and the electrode layer are driven to move relatively to generate current. The self-energized sensor provided by the invention not only can monitor the wave height based on the electric signal output by the power generation unit, but also can supply power to the sensor by the generated electric signal, so that the self-energized sensor provided by the scheme can stably run for a long time.

The invention provides a weather resistance evaluation method and system for a self-energy-taking device of an electric power sensor, and the method comprises the steps: designing an environment accelerated aging test for the obtained multi-physical field simulation feature information of the self-energy-taking device of the electric power sensor to be evaluated, and obtaining an aging performance feature parameter; inputting the aging performance characteristic parameters into a pre-trained life prediction model to obtain life prediction results of the self-powered device under various environmental influence factors, and performing dimensionless processing based on the aging performance characteristic parameters and the life prediction results to generate a characteristic parameter matrix; calculating a weight matrix of each environment influence factor based on a life prediction result and the characteristic parameter matrix, calculating a weather resistance comprehensive evaluation value based on the characteristic parameter matrix and the weight matrix, and performing weather resistance evaluation on the self-powered device based on the weather resistance comprehensive evaluation value. Accurate and efficient evaluation of the weather resistance of the self-energy-taking device of the power sensor is realized.