33 results about "Impedance sensing" patented technology

This disclosure describes systems, apparatuses, and methods that utilize electric field sensing in an antenna topology. In some embodiments, the systems, apparatuses, and methods use a sensing modality, such as bio-impedance sensing, to detect and / or determine one or more user activities. The bio-impedance sensing can be used for held-object or touched-object recognition, gesture input recognition (e.g., recognition of one-handed gestures, two-handed gestures, etc.), user interface (UI) interaction by utilizing electrically passive components, and / or biometric identification and / or authentication.

The invention relates to the technical field of intelligent warehouse logistics and industrial automation, in particular to a multi-AGV path planning method based on regional impedance perception and space-time dynamic coordination, and the method comprises the steps: obtaining grid map information and task information of each AGV based on a warehouse environment; constructing a local observation window taking the AGV as a central node, analyzing nodes covered by corresponding grid map information, determining a region passing impedance index, and constructing an obstacle distance penalty term; dynamically adjusting a heuristic function weight in an A * algorithm by adopting a regional passage impedance index, establishing an evaluation function in combination with an obstacle distance penalty term, and generating a single-machine global path; based on the task information of the AGV, generating a time window for each node in the global path, and judging the path conflict of the current storage environment through the time window; and a task priority strategy is preset, path conflicts are eliminated, and a cooperative scheduling instruction is generated to regulate and control the operation path of the AGV. And self-adaptive adjustment is performed by sensing the environment congestion degree, so that the search efficiency is improved.

The application discloses a precision hardware fatigue damage detection method and system, and relates to the field of precision mechanical detection.The method comprises the following steps: coupling a flexible impedance sensing array with a precision hardware to be detected; the array substrate is made of polydimethylsiloxane, and the surface array groove is filled with a conductive hydrophilic composite gel formed by in-situ polymerization of acrylamide monomer, sodium alginate and nanometer carbon fibers, thereby forming a plurality of miniaturized impedance units; a constant pressure is applied through a pressure feedback control system, so that the gel produces elastic deformation to cover and compensate the micron-level roughness of the surface of the detection area; a micro-amplitude sinusoidal voltage excitation is applied, current response data in the swept frequency band is collected, complex impedance information is extracted and fitted to a randall equivalent circuit model, and charge transfer resistance and interface capacitance values are obtained; and the parameter deviation degree is calculated according to the charge transfer resistance of the current detection period and historical reference, so as to determine the fatigue damage condition of the local area.

A catheter system for use with a catheter with a distal assembly supporting a plurality of electrodes adapted to sense electrical signal in heart tissue and a force sensor configured to generate first contact signals representative of a contact force acting on the distal assembly. The system includes an ablation power generator configured to energize the plurality of electrodes, an impedance circuitry configured to generate second contact signals representative of the electrodes in contact with tissue, a processor configured to receive the first and second contact signals and generate switch signals in response thereto, and a switch circuitry configured to connect in response to the switch signals solely selected electrodes in contact with tissue to the ablation power generator in forming one or more composite electrodes.

The invention discloses a double-stage impedance sensing, monitoring and diagnosing system and method for a multi-orifice piezoelectric sprayer, and belongs to the technical field of printers, the system collects driving voltage and loop current of corresponding orifices through a collection module during the period of applying high-voltage driving waveform, and collects free attenuation feedback voltage after the high-voltage driving waveform is stopped being applied; the analysis and diagnosis module analyzes impedance characteristics in real time according to the collected driving voltage and loop current, and judges whether a piezoelectric execution structure of the piezoelectric nozzle has a structural fault or not based on the impedance characteristics; and whether functional faults exist in the spray holes or not is judged based on the collected free attenuation feedback voltage. The in-situ and staged sensing capability of the working process of the spray head is achieved, the electrical response of each spray hole in the driving process and the feedback response after driving are independently obtained and analyzed, and precise distinguishing of structural faults and functional faults is achieved through dual-stage signal fusion. The universality is high, and the whole life cycle of spray hole health diagnosis is covered.

This invention discloses a welding torch nozzle device with self-powered and self-diagnostic functions, including a nozzle body, a thermoelectric conversion unit, an impedance sensing unit, and a signal processing unit. The signal processing unit is electrically connected to both the impedance sensing unit and the thermoelectric conversion unit, and the thermoelectric conversion unit supplies power to the signal processing unit. The signal processing unit receives impedance change signals from the impedance sensing unit and determines whether the nozzle is clogged. By placing the thermoelectric conversion unit on the outer wall of the nozzle body to recover welding waste heat and convert it into electrical energy, and placing the impedance sensing unit on the inner wall of the nozzle body to directly detect impedance changes caused by spatter adhesion, combined with the signal processing unit, in-situ real-time monitoring under self-powered conditions is achieved, forming a nozzle structure that integrates power supply and sensing. This eliminates the dependence on external power sources and complex wiring, improves the reliability and adaptability of the system in harsh welding environments, and significantly enhances the stability of the welding process and the quality of the weld.

The invention provides an active waterproof detection method and system for an electronic equipment interface, and relates to the technical field of waterproof detection, and the method comprises the steps: configuring an impedance sensing network at the electronic equipment interface; monitoring a plurality of real-time impedance sensing signals of the plurality of electrode pairs in real time through an impedance sensing network; performing signal abnormal characteristic comparison on the plurality of real-time impedance sensing signals and a reference impedance sensing sample signal library to judge whether an abnormal signal is triggered or not, and if the abnormal signal is triggered, detecting the plurality of real-time impedance sensing signals and a water vapor impedance characteristic detection model obtained by training to obtain a plurality of water vapor condensation ports; and performing intrusion path tracing according to the plurality of water vapor condensation ports to obtain a first tracing abnormal source, and generating a corresponding first abnormal adjustment signal based on the first tracing abnormal source. The technical problem that the active waterproof detection effect of the electronic equipment interface is poor in the prior art can be solved, and the technical effect of improving the waterproof detection effect is achieved.

This invention discloses a flexible dual-mode carbon-based sensing patch, its preparation method, and its application in monitoring oyster freshness. It belongs to the field of flexible electronic sensors and non-destructive testing technology for food. The sensing patch includes a biodegradable electrospun substrate membrane, and a temperature sensing unit and an impedance sensing unit attached to the substrate membrane via conductive silver paste. The temperature sensing unit is a composite conductive film formed by vacuum filtration deposition of a graphene-carbon nanotube blend, and the impedance sensing unit is a conductive network film formed by vacuum filtration deposition of carbon nanotubes. The temperature sensing unit and the impedance sensing unit are respectively connected to conductive silver wires via conductive silver paste for signal transmission. This invention features a simple structure, controllable preparation process, stable sensing performance, and good compatibility with biodegradable substrates, providing a high-performance, integrable sensing solution for real-time, non-destructive monitoring of oyster freshness after death.

An electronic device includes: a housing; an optical sensor disposed on the housing and including a light receiving unit and a light emitting unit configured to radiate light to the light receiving unit through an optical path; a bio-impedance detection sensor disposed adjacent to the optical sensor, and including a plurality of electrodes configured to transmit and receive a current through a current path; and one or more processor disposed in the housing. At least a portion of the optical path overlaps at least a portion of the current path. The one or more processor is configured to determine a biometric component based on an intensity of light detected by the optical sensor and a magnitude of impedance sensed by the bio-impedance detection sensor.

This disclosure relates to panel impedance sensing via a driver replicating current. A circuit includes: a driver that provides a voltage at a node of a load; and a first circuit that helps determine the load current at the node. The load is a capacitive load, and the first circuit helps determine the load current by measuring the replicated current and using the voltage and the value of the replicated current to determine the capacitance of the load.

An intracardiac ventricular pacemaker includes a pulse generator for delivering ventricular pacing pulses, an impedance sensing circuit, and a control circuit in communication with the pulse generator and the impedance sensing circuit. The pacemaker is configured to produce an intraventricular impedance signal, detect an atrial systolic event using the intraventricular impedance signal, set an atrioventricular pacing interval in response to detecting the atrial systolic event, and deliver a ventricular pacing pulse in response to the atrioventricular pacing interval expiring.

The invention relates to the technical field of constructional engineering, and discloses a concrete structure intelligent maintenance method based on multi-point impedance sensing. The invention aims to solve the problems that the existing concrete curing technology depends on experience and cannot sense the spatial non-uniformity of the internal state of the structure in real time, so that the curing measures are blind and the structure quality homogeneity is poor. According to the invention, a plurality of impedance sensors integrated with temperature sensors are arranged in a concrete structure, and AC impedance spectrum data and temperature data at different positions of the structure are synchronously acquired; using a pre-constructed correlation model to solve the current performance index of each monitoring position in real time according to the electrical data subjected to temperature compensation correction; and comparing the calculated performance index with a preset maintenance target, and generating a control instruction to drive a maintenance execution mechanism to carry out partitioned and differentiated maintenance operation on the structure.

Described herein are systems and methods for calibrating dry electrode bioelectrical impedance measurements. These method and apparatuses may be used for sensing bioelectrical impedance for ambulatory and or long-term measurements. Calibration of bioelectrical impedance sensing may be performed by using measurements taken during a shorted configuration of the apparatus, in which the same current is applied to both the source and sink stimulation electrodes, to modify measurements taken in a forward and / or reverse configuration in which current is applied to either the source and / or sink.

An impedance sensing structure is provided and includes a dielectric layer, a spiral electrode pair, an inlet element and an outlet element, and a sensing circuit, the spiral electrode pair forms a double-spiral channel on the dielectric layer and has an inlet portion at a central region of the double-spiral channel and an outlet portion at an end of the double-spiral channel. An inlet element and an outlet element are coupled with the inlet portion and the outlet portion, respectively, for directing fluid or gas through the double helix channel. The sensing circuit is electrically connected with the spiral electrode pair and is configured to sense particles in the fluid or the gas according to the impedance of the spiral electrode pair and the fluid or the gas flowing through the double-spiral channel.

The invention relates to a high-frequency generator system (12) for plasma excitation for a plasma process, comprising a signal generator unit (18) configured to generate at least three high-frequency signals with different frequencies. The high-frequency generator system (12) includes a broadband amplifier stage (24) configured to amplify the high-frequency signals in order to output amplified high-frequency signals at an amplifier stage output (26) of the amplifier stage (24). The high-frequency generator system (12) has a matching network (28) configured to set a predetermined impedance for the amplifier stage output (26) of the amplifier stage (24), wherein the impedance between the amplifier stage output (26) and the matching network (28) is not equal to 50 ohms. The high-frequency generator system (12) has a plasma process impedance sensing unit (34) configured to detect a complex-valued impedance (Z). P) of the plasma process, wherein a control unit (42) is set up, the signal generator unit (18), the amplifier stage (24) and / or the matching network (28) is set up based on the detected complex-valued impedance (Z). P ) of the plasma process. Furthermore, a plasma generation plant (10) and a method for exciting a plasma for a plasma process are described.

A battery management device (10) according to the present disclosure comprises: an AC signal supply unit (11) configured to supply an AC signal to a lithium-ion secondary battery (20), an impedance sensing unit (12) configured to detect a value of a real part of an AC impedance from the lithium-ion secondary battery (20) to which the AC signal was supplied, an expansion quantity calculation unit (13) configured to calculate a quantity of expansion of a cell in the lithium-ion secondary battery (20) based on a difference between the detected current value of the real part of the AC impedance and an initial value of the real part of the AC impedance, and a control unit (14) configured to reduce an upper limit value of a state of charge of the lithium-ion secondary battery (20).when the calculated amount of expansion increases.

A circuit includes a driver to provide a voltage at a node of a load and a first circuit to facilitate determining a load current at the node. The load is a capacitive load and the first circuit facilitates determining the load current by measuring a replica current and determining a capacitance of the load using values of the voltage and the replica current.

The invention discloses tumor marker magnetic microsphere detection equipment supporting a medical health big data platform, and relates to the technical field of medical health. The tumor marker magnetic microsphere detection equipment is prepared by the following steps: constructing a multi-channel micro-fluidic chip and preprocessing magnetic microspheres; sample loading and hydrodynamic focusing are carried out; local microenvironment impedance is monitored in real time; fluorescence imaging and original signal acquisition; performing dynamic correction based on track-impedance coupling; calculating a self-adaptive nonlinear correction signal; performing big data platform aggregation and group offset compensation; outputting a result and generating a clinical report; preparing for self-cleaning and recycling of the chip; by integrating high-frequency impedance sensing, in-situ and real-time physical measurement of non-specific adsorption on the surface of each magnetic microsphere is realized, and interference is quantified into a monitoring factor; the signal correction process can be dynamically adjusted according to the directly and synchronously acquired interference degree information, and the limitation that the instantaneous state change of individual microspheres cannot be responded due to post-processing or averaging processing is solved.

Systems, devices and methods are provided for transcutaneously delivering energy impulses to bodily tissues for therapeutic purposes, such as for enhancing the body's bone healing process in spinal fusion patients. A therapeutic stimulator system comprises a housing for an energy source and a signal generator. The system further includes one or more electrodes coupled to the signal generator. A processor is coupled to the housing and configured to determine usage levels of the signal generator and / or motion data of the housing. The system may include a mobile device that allows the patient to input user status data, such as pain levels, and compare the user status data with the usage levels and / or the motion data, thereby improving patient compliance with a prescribed therapy regimen.

The application provides a portable impedance sensing device and method for meat quality detection, comprising: a shell, the end of the shell is provided with an inner thread for contact with the surface of a meat sample to be detected, and an outer thread of a replaceable electrode is matched with the inner thread; the outer thread of the replaceable electrode is provided with two conductive convex points, and the two conductive convex points are in conductive connection with two conductive concave points arranged at the end of the inner thread of the shell; and the inside of the shell is provided with a control circuit for measuring the impedance of the meat sample to be detected, and the control circuit is connected with the two conductive concave points at the end of the inner thread of the shell through wires. The technical scheme of the application effectively expands the application range of meat sample detection, improves the detection efficiency, reduces the detection cost, reduces food loss, and provides a practical means for food traceability and quality control.

The invention provides a power transmission and transformation equipment operation state dynamic monitoring method and system based on photoelectric detection, and relates to the technical field of power transmission and transformation equipment. Matching inductance parameters, matching capacitance parameters, original standardized impedance sensing signals and original gain adaptive distribution signals which are collected, preprocessed and fed back by the multispectral sensing unit are fused, associated fault scene diagnosis is executed, and a real-time equipment state is output; and performing insulation failure risk protection prediction according to the real-time equipment state, and outputting a graded early warning instruction. The technical problems that in an existing power transmission and transformation equipment state monitoring technology, single-dimensional perception sensing is adopted for isolated monitoring analysis, cross-equipment fault conduction verification is lacked, and consequently early equipment fault diagnosis is delayed, and the confidence coefficient is low are solved. The technical effects of remarkably improving the fault diagnosis confidence and the early warning timeliness, effectively avoiding the non-planned shutdown and prolonging the service life of the key equipment are achieved.

The utility model discloses an electric connector, which comprises a shell, at least one metal sheet and two terminal strips, the shell is provided with a slot, the two terminal strips are arranged at the front side and the rear side of the slot, each terminal strip comprises a plurality of signal terminals arranged along the left-right direction, each signal terminal comprises a signal contact part, the signal contact part extends downwards to form a signal elastic part, and the signal elastic part is arranged on the shell. The signal elastic part extends downwards to form a flat-plate-shaped signal holding part, the signal holding part extends downwards to form a signal tail part, the metal sheet is located between the two terminal strips, and the signal holding part extends towards the metal sheet in an inclined mode from bottom to top. The distance between the position, close to the signal elastic part, of the signal holding part and the metal sheet is smaller than the distance between the position, close to the signal tail part, of the signal holding part and the metal sheet, impedance sensed by a signal on the signal holding part is gradually changed in the direction from the signal contact part to the signal tail part instead of changing suddenly, and reflection of the signal is reduced. And the signal integrity of the electric connector is optimized.

The application relates to the technical field of food safety, and discloses a food microbial contamination rapid detection method fusing a knowledge graph and deep learning, which comprises a data acquisition module, a knowledge graph engine, a deep learning calculation unit, a dynamic optimization module, a visual interactive terminal and a traceability management platform. By adopting microfluidic chip and impedance sensing combined technology, the traditional long-time detection cycle is shortened, the real-time monitoring demand of cold chain logistics is met, a spectrum-bioelectric-microscopic image three-mode space-time alignment model is created, a dimensional gap is eliminated through feature space mapping, the recognition accuracy of complex matrix pollution is improved, a rule engine driven by an industry knowledge graph is constructed, model dynamic updating is realized through an incremental learning module, the detection rate of new Salmonella varieties is improved, and the problem of new pathogen missed detection rate is solved.

The application discloses a dynamic plantar pressure-resistive impedance dual-mode detection insole, and belongs to the medical detection sensor field. The technical points are as follows: from top to bottom, the insole comprises a resistive impedance sensing assembly, a shock insulation-insulation layer, a pressure sensor assembly, a middle layer of the insole and an insole body; the resistive impedance sensing assembly and the pressure sensor assembly are respectively embedded on the upper surface and the lower surface of the shock insulation-insulation layer; the resistive impedance sensing assembly comprises first to third resistive impedance sensor arrays, which correspond to the detection of the metatarsal region, the arch region and the calcaneal region; the pressure sensor assembly comprises first to third pressure sensor arrays, which correspond to the detection of the plantar pressure of the metatarsal region, the arch region and the calcaneal region. The application aims to provide a dynamic plantar pressure-resistive impedance dual-mode detection insole.

The application discloses a lubricating oil cleanliness detection method and system based on intelligent sensing elements, and relates to the technical field of lubricating oil detection. The method comprises the following steps: constructing a detection branch in a lubricating oil circulation loop; extracting a lubricating oil sample in the lubricating oil circulation loop through the detection branch to flow through a high-frequency impedance sensing area, an optical sensing area and a micro-pressure difference sensing area in sequence, taking an optical pulse event as a main trigger event, and establishing an associated time window for the main trigger event; inquiring whether there are associated signal events in the high-frequency impedance sensing area and the micro-pressure difference sensing area; based on the inquiry result, performing multi-sensor feature fusion decision, completing effective solid particle counting, and generating a cleanliness detection result. The technical problems that the lubricating oil cleanliness detection precision is low and the solid particles in the lubricating oil cannot be effectively identified in the prior art are solved, the accurate identification of the solid particles is achieved through multi-sensing feature fusion, and the technical effect of improving the lubricating oil cleanliness detection precision is achieved.

Disclosed is a craniotomy milling system, which includes a computer numerical milling machine having a spindle configured to be positioned relative to a craniotomy location of a cranium of a patient and an end mill. The craniotomy milling system includes a controller for controlling the feed rate of the end mill. The craniotomy milling system includes an impedance measurement system and an axial force sensor. The craniotomy milling system includes a processor electrically coupled with a controller, the impedance measurement system, and the axial force sensor. The processor is configured to send a signal to the controller to change the feed rate of the end mill in response to a change in impedance or a change in axial force.

The invention relates to the technical field of automobile interior trim part manufacturing, and discloses an automobile interior trim skin forming process self-adaptive parameter adjusting system which comprises a distributed multi-physics field array mold module, a bimodal time division multiplexing driving module, an in-situ capacitance impedance sensing module and a time-space coupling rheological control algorithm module. A plurality of composite electrode units are embedded into the forming surface of the mold module; the sensing module detects capacitance data between the electrode and the skin; the algorithm module is used for calculating a local thinning rate based on the capacitance data and generating a control vector containing a time sequence duty ratio parameter; and the driving module responds to the control vector, switches the circuit in the microsecond-level time slot by utilizing the multi-channel high-speed switch matrix, and selects to output the high-voltage direct current to generate electrostatic adsorption force or output the high-frequency alternating current to generate dielectric loss heat. According to the method, the physical field environment is adjusted through time-space coupling cooperation logic, local excessive stretching is actively restrained, and high-quality closed-loop forming of the complex curved surface skin is achieved.

This invention specifically relates to a vital sign monitoring method and system based on multi-port acquisition and alarm, belonging to the field of medical vital sign monitoring technology. It includes: a multi-channel impedance sensing and interface module; a global common-mode noise extraction bus module; a dynamic topology switching matrix module; a general-purpose inverting drive amplification module; and an isolation and safety protection module. In this invention, multi-channel full-port impedance dynamic sensing and global common-mode noise adaptive extraction improve the monitoring accuracy and anti-interference capability of vital sign signals from the source. The use of nanoampere-level safe carrier injection and synchronous detection technology enables precise quantification of the contact impedance between each physical port and the human body, distinguishing between resistive and capacitive components and constructing a dynamic coupling impedance matrix, providing a reliable decision-making basis for noise processing and drive control.

This invention relates to the field of high-voltage cable safety monitoring technology, specifically to a method and system for intelligent sensing of small-sized fire source hazards in high-voltage cables. The method includes the following steps: acquiring sensing signals through a cable-body coupling sensing terminal. The cable-body coupling sensing terminal includes a shielding layer impedance sensing unit coupled to the metal shielding layer of the high-voltage cable, a microchannel gas acquisition unit arranged parallel to the cable insulation layer, and an environmental adaptive calibration unit. This invention directly couples the cable-body coupling sensing terminal to the metal shielding layer or armor layer of the high-voltage cable, and, combined with the shielding layer impedance sensing, microchannel gas acquisition, and environmental adaptive calibration units, improves the accuracy of the original signal acquisition and compensates for the influence of environmental humidity on detection.