939results about "Testing/calibration apparatus" patented technology

The invention relates to the technical field of industrial process measurement, and discloses a high-precision liquid level measurement anti-interference calibration method, which comprises the following steps of: 1, synchronously acquiring a liquid level signal, a mechanical vibration signal, an electromagnetic field intensity signal and a temperature distribution signal through a multi-mode sensor array to form multi-physical field data; 2, constructing a hypergraph adjacency tensor based on the coupling relationship of the multi-physics field data, and generating a Laplacian matrix constraint; step 3, performing CP tensor decomposition with hypergraph constraint on an original signal tensor formed by the multi-physical field data, and separating a liquid level signal kernel from an interference kernel; and step 4, inputting the decomposed signal kernel characteristics and the sensor impedance parameters into a depth deterministic strategy gradient algorithm to realize hardware acceleration of a processing flow. A multi-physics field coupling relation is constructed through a hypergraph adjacency tensor and a Laplacian matrix, and the limitation of a traditional binary correlation model is broken through.

The invention belongs to the technical field of liquid level monitoring, and relates to a liquid level monitoring method and system based on a radar liquid level meter. The current temperature of the stored substance in the target storage tank is matched with the dielectric constant, whether the dielectric constant is abnormal or not is judged accordingly, the influence of the temperature on the dielectric constant of the stored substance is considered, and errors caused by temperature changes when the radar liquid level meter monitors the liquid level are avoided; whether abnormal influence is generated on the monitoring process of the radar liquid level meter or not is evaluated from multiple dimensions through the key obstacles in the target storage tank, the limitation of single parameter analysis is broken through, measurement errors caused by obstacle abnormity can be reduced, and the stability of liquid level monitoring is ensured; whether foam interference or steam interference occurs or not when the radar liquid level meter monitors the liquid level is recognized through multiple verification modes, the accuracy of interference reason recognition is improved, the pertinence of maintenance measures is guaranteed, and the situation that the measurement precision of the radar liquid level meter is reduced due to abnormal medium characteristics is avoided.

The invention discloses a magnetostriction liquid level meter temperature compensation method and system based on a support vector machine. The method comprises the steps that the currently captured original pulse number is obtained through a magnetostriction liquid level meter; the current environment temperature is detected in real time through a high-precision temperature sensor in the magnetostrictive liquid level meter; taking the original pulse number and the current environment temperature as input features, sending the input features to a pre-trained support vector machine regression model (SVM), and outputting a displacement error prediction value in the current temperature environment; and correcting the original measurement result according to the error prediction value to obtain a real pulse measurement value after temperature compensation. The system comprises a time-to-digital conversion chip, a temperature chip temperature measurement module, a support vector machine reasoning module, a pulse compensation module and a distance calculation module. According to the method, nonlinear modeling can be carried out on measurement errors caused by environment temperature changes, so that the liquid level measurement result is dynamically corrected, and the overall robustness and precision of a measurement system are improved.

The invention discloses a monitoring system, belongs to the technical field of liquid level monitoring, and particularly relates to a hot well liquid level remote transmission monitoring system which comprises a signal acquisition unit, an automatic control unit and a cloud platform unit, and the signal acquisition unit is composed of a liquid level acquisition module and a visual module; the liquid level acquisition module and the visual module are used for double acquisition of liquid level values and data processing, filtering processing, temperature compensation processing and vibration compensation processing are carried out on two signals respectively, then data correction is carried out, stable and accurate reading data are obtained, meanwhile, the cloud platform unit is used for achieving real-time display of identification results, and the identification accuracy is improved. According to the system, unmanned and real-time monitoring of the boiler double-color liquid level meter is achieved, meanwhile, the recognition result is stable, and the safety of factory production is guaranteed.

The invention relates to the technical field of transformer oil level detection, and discloses an oil level detection system for a liquid-immersed transformer, and the system comprises a detection module which is disposed in an oil cavity of the transformer, and the detection module is configured to obtain temperature data, oil level data and vibration data in the oil cavity of the transformer; the central control module is electrically connected with the detection module, and the central control module is configured to correct the oil level data according to the temperature data and the vibration data; and the early warning module is electrically connected with the central control module, and the early warning module is configured to determine whether to send early warning information or not according to the corrected oil level data. Intelligent correction and risk judgment can be carried out on the oil level information based on the multi-source sensing data, and the accuracy of transformer oil level monitoring and the reliability of early warning response are remarkably improved.

The invention belongs to the technical field of aero-engines, and particularly relates to an aero-engine air inlet flow pipe calibration method, which comprises the following steps of: measuring internal flow field parameters in a standard flow measurement section through a plurality of sensors, and calculating theoretical air mass flow qm1TH of the standard flow measurement section; the actual air mass flow qm1ACT of the standard flow measuring section is measured through a negative pressure air suction type flow standard device; the outflow coefficient of the standard flow measurement section is calculated; connecting a calibrated engine air inlet flow pipe A2 to the front of the standard flow measuring section, and connecting the engine to the rear of the standard flow measuring section; calculating the actual air mass flow of the standard flow measurement section, and taking the actual air mass flow as the actual air mass flow qm4ACT of the calibrated engine air inlet flow pipe A2; and the outflow coefficient of the calibrated engine air inlet flow pipe A2 is calculated based on the theoretical air mass flow qm4TH and the actual air mass flow qm4ACT of the calibrated engine air inlet flow pipe A2.

The invention relates to the technical field of liquid level detection, in particular to a method for eliminating a false liquid level of a urea hydrolyzer, which comprises the following steps: S1, acquiring a liquid level sensor signal, a pressure sensor signal, a temperature sensor signal and an ultrasonic reflection signal of the urea hydrolyzer in real time; s2, performing weighted fusion to generate fused liquid level characteristic parameters; s3, identifying false liquid level characteristics caused by foam layer coverage or steam interference; s4, generating a calibration liquid level value according to the false liquid level characteristics; and S5, comparing the calibrated liquid level value with a preset liquid level-pressure-temperature relation model, and outputting a real liquid level value. According to the invention, by fusing various sensor signals in real time, dynamically adjusting the parameters of the liquid level sensor and combining the liquid level-pressure-temperature relation model, false liquid level interference is accurately eliminated, the accuracy and reliability of liquid level measurement are improved, meanwhile, the equipment safety is ensured, and abnormal operation caused by false liquid level signals is prevented.

The invention relates to a calibration device (5) for calibrating radar-based level measuring devices (1) or their high-frequency module. For this purpose, the device (5) is based on a base body (51). A waveguide (52) runs within a planar plane (A) in this base body. The waveguide (52) is characterized by an input region (521), a coupling region for radar signals (S). HF , R HF ) reflective end region (522), and calibration section running between it (d kal ) out. According to the invention, the waveguide (52) or the calibration section (d) is kal ) are formed in a spirally nested configuration. This results in a spirally nested structure in relation to the length of the calibration section (d). kal ) or of the waveguide (52) achieves a very compact design, so that the calibration device (5) can also be used for recalibrations at the place of use of the level measuring device (1).

The invention relates to the technical field of detection, particularly discloses an ultrasonic guided wave non-contact accurate liquid level measurement method for a high-temperature closed container, and aims at solving the problems that in the prior art, measurement precision is low and interference is prone to occurring in a high-temperature environment. Effective signals are extracted through a self-adaptive interference suppression algorithm, the liquid level is calculated through multi-source data fusion, and an intelligent calibration and self-diagnosis system and a machine learning prediction model are arranged. Experiments show that the measurement error of the method can be controlled within + / -3cm, and the method is remarkably superior to a traditional method and is suitable for accurate liquid level measurement of high-temperature closed containers in the industries of chemical engineering, electric power and the like.

The invention relates to the technical field of aero-engines, in particular to a lubricating oil tank liquid level detection method, device and equipment, a medium and a program product. The method comprises the steps that the measured liquid level of oil in a lubricating oil tank of the aircraft is obtained, and current attitude information of the aircraft is obtained; the attitude information comprises a pitch angle, a yaw angle and a roll angle; based on a standard corresponding relation, a target standard liquid level corresponding to the current attitude information is determined, and the standard corresponding relation is the corresponding relation between the attitude information and the liquid level of the aircraft when oil in a lubricating oil tank is in a normal state; and determining a detection result based on the size relationship between the target standard liquid level and the measured liquid level. By means of the method, the precision of liquid level measurement of the oil in the lubricating oil tank can be improved.

The invention relates to the technical field of flow calibration, and discloses a multi-pipeline flow collaborative calibration system. The system comprises a flow characteristic acquisition module, a flow category classification module, a sequence analysis module, a trend analysis module, a correction module and a collaborative decision module. The flow characteristic acquisition module is used for acquiring current flow data and real-time characteristic information of multiple pipelines and indexing a historical flow data set; the traffic category classification module classifies the historical characteristic information to obtain a plurality of traffic categories, and extracts related information for processing to obtain a historical calibration score set; the sequence analysis module serializes the historical calibration score set and ranks the historical calibration score set according to time to form a historical traffic sequence; the trend analysis module analyzes the flow change rate and the stability deviation rate according to the historical flow sequence; the correction module matches the real-time characteristic information with the traffic category, and corrects the rate value according to the deviation; and the collaborative decision-making module performs multi-pipeline collaborative calibration decision-making based on the corrected data, generates and executes a flow calibration scheme, and assists the multi-pipeline system in precise flow control.

Methods, apparatus, and systems for determining a level of a liquid in a liquid-containing vessel are disclosed. The liquid-containing vessel may be fluidically connected to a displacer cage. The method may include obtaining, with a load measurement device, a weight force of a displacer suspended from the load measurement device and disposed within the displacer cage. The method may also include submerging the displacer into the liquid and obtaining, with the load measurement device, a net force acting on the displacer. The method may further include obtaining, with a liquid density measurement sensor disposed within the displacer cage, a liquid density at a first location of the liquid. The method may still further include determining, using, at least, the net force and the liquid density at the first location of the liquid, the level of the liquid in the vessel.

The invention discloses a river water level detection method, and relates to the technical field of computer processing, and the method comprises the following steps: S01, presetting a distributed pressure sensor array in each target collection region to obtain underwater pressure data k and real-time water flow data v of a plurality of target collection regions of a river to be detected; s02, establishing a dynamic pressure water level model based on the water flow direction pressure conduction quantity estimation of the plurality of target acquisition areas in combination with real-time water flow velocity and wave period parameters; s03, performing signal attenuation compensation on the underwater pressure data according to the dynamic pressure water level model to obtain initial water level data; s04, multi-source data fusion calibration is carried out on the preliminary water level data, a river water level detection result is generated, and the result comprises a wave height frequency spectrum and a water level change curve after peak elimination correction; and S05, generating a wave energy spectral density map according to the calibrated water level data, performing real-time comparison according to the wave energy spectral density map and a preset threshold value, and performing result return according to a comparison structure. The small-wave-height short-period wave measurement precision and the water level detection reliability are remarkably improved, the intelligent flood prevention early warning and dynamic adjusting capacity is achieved, and it is guaranteed that data collection is accurate and consistent.

The present invention aims to easily calculate a calibration formula for calibrating a liquid hydrogen level gauge using a superconductor at low cost without using expensive liquid hydrogen. [Solution] A calibration equation calculation method for calculating a calibration equation to calibrate a liquid hydrogen level gauge that uses a superconductor to detect the liquid hydrogen level in a container by voltage measurement, the method being characterized in that the calibration equation is calculated from the relationship between the voltage value of the liquid hydrogen level gauge and each liquid level height at at least three points with different liquid level heights while pouring liquid having a temperature higher than the critical temperature (Tc) of the superconductor used in the liquid hydrogen level gauge into the container in which the liquid hydrogen level gauge is installed vertically.

Provided is a level meter capable of correctly measuring a level of an object stored in a container. The level meter includes a distribution determination unit, an extraction unit, a candidate determination unit, and a display portion. The distribution determination unit determines the reception intensity distribution of the reflection signal with respect to the distance from the level meter based on the reception intensity of the reflection signal due to reflection of the measurement signal. The candidate determination unit extracts a plurality of combinations of the peak position and the peak intensity from the reception intensity distribution by the extraction unit, and determines the combinations as a plurality of peak candidates. The display portion displays a candidate confirmation screen including the measurement value corresponding to each of the plurality of peak candidates and the reception intensity scale related to the reception intensity.

The invention relates to an anti-interference intelligent liquid level transmitter system which comprises a measuring unit used for acquiring an original liquid level signal; the anti-interference processing unit is in signal connection with the measuring unit and is used for executing anti-interference algorithm processing on the original liquid level signal, and the anti-interference algorithm processing includes adopting an acceleration compensation algorithm and a dynamic filtering algorithm to eliminate measuring errors caused by mechanical vibration and medium flow; and the output unit is in signal connection with the anti-interference processing unit and is used for outputting the standardized liquid level signal. The problem that a traditional static filtering algorithm cannot adapt to a dynamically changing vibration environment in real time is solved.

The invention discloses an automatic pipeline conveying control system driven by liquid level meter signal feedback, and particularly relates to the field of pipeline conveying control, which comprises a data acquisition module, a liquid level state analysis module, a hierarchical control module and a control execution feedback module, the data acquisition module is used for acquiring liquid level height data in the pipeline system and correcting a measurement error; and the real-time liquid level data is compared with a preset liquid level target value, a liquid level deviation value is calculated, and the deviation degree of the current liquid level and the target liquid level is determined. The liquid level meter and the collecting camera are combined, limitation of single equipment is reduced, more accurate and comprehensive data reflecting the liquid level condition can be obtained, the real-time state and the development situation of the liquid level can be accurately known, an accurate basis is provided for follow-up control, when the liquid level is abnormal, countermeasures can be taken in order according to a preset rule, and the accuracy of control is improved. And the failure rate of equipment is reduced, and the maintenance and repair times are reduced.

A system and a method include a container configured to retain one or more liquids. A liquid level sensor is disposed within the container. The liquid level sensor includes sensing elements configured to sense a level of the one or more liquids within the container. A control unit is in communication with the liquid level sensor. The control unit is configured to determine a status of each of the sensing elements based on signals received from the sensing elements.

The invention discloses a volume correction instrument error analysis method and system based on an improved PE equation, and aims to improve the accuracy of fuel gas and biogas metering. According to the equipment, performance testing can be carried out under the conditions of different temperatures (20 DEG C to 40 DEG C) and pressures (101.3 kPa to 104.0 kPa) through an integrated fuzzy logic algorithm, and the average correction error is only 0.22%. A high-precision sensor and a data processing unit are used for monitoring and calibrating the gas volume in real time and compensating the influence of temperature and pressure changes. The fuzzy logic controller adjusts the reading of the gas meter according to real-time data, the accuracy of a metering result is ensured, algorithm optimization and intelligent equipment integration are focused, and the energy management efficiency is improved. The volume correction instrument provides help for a modern energy metering system and optimization of energy efficiency and cost.

The utility model discloses a novel copper liquid level meter which comprises a radar liquid level meter body, a horn mouth antenna and a cooling device, the cooling device comprises a heat dissipation cylinder cooling assembly, a heat insulation barrier assembly and a heat preservation and insulation cylinder, the heat dissipation cylinder cooling assembly is arranged at the top of an external detection base, the horn mouth antenna is arranged in the external detection base, and the heat insulation barrier assembly is arranged in the heat preservation and insulation cylinder. The heat dissipation cylinder is connected with the bottom of the heat dissipation cylinder cooling assembly; the heat insulation barrier assembly is arranged on the top of the heat dissipation barrel cooling assembly, the heat preservation and insulation barrel is arranged on the top of the heat insulation barrier assembly, and the radar liquid level meter body is arranged in the heat preservation and insulation barrel. According to the utility model, the efficient cooling device is arranged between the radar liquid level meter body and the detection seat, the cooling device not only prevents the direct influence of the high temperature of the furnace body on the radar liquid level meter body, but also greatly enhances the heat dissipation effect, and the use effect is good.

The invention discloses a water level early-warning device for a water conservancy project. The water level early-warning device comprises a floater, a limiting mechanism, a mounting frame, a signal conversion and processing device and display equipment, wherein a pressure sensor is arranged at the bottom of the floater; the floater is sleeved with a flow blocking pipe, the flow blocking pipe is rotationally connected with the mounting frame, a plurality of leaf plates are evenly arranged on the outer side of the lower portion of the flow blocking pipe along the rotating shaft, the leaf plates are vertically arranged, and the floater is located in the flow blocking pipe; the processor is electrically connected with an alarm and wirelessly connected with a mobile terminal. The floater is limited through the limiting mechanism, so that the floater can only move up and down to drive the sliding piece to move up and down, water level information is directly obtained through the signal conversion and processing device and displayed on the display device, and the water level sensor is simple and reasonable in structure, low in manufacturing cost, compact in structure, small in resistance in the working process, smooth and sensitive in action and high in measurement result accuracy; the measurement result is directly displayed; whether the floater works normally or not is judged through pressure information fed back by the pressure sensor; and a flow blocking pipe is arranged, so that the device is also suitable for large water waves.

The invention relates to the technical field of intelligent sensing systems, in particular to an algorithm and system for avoiding water surface floating objects and improving monitoring precision based on radar water level monitoring, and the method comprises the following steps: collecting radar echoes, constructing spatial-temporal characteristics based on waveform asymmetry and coherent attenuation gradient, and calculating the spatial-temporal characteristics; according to the method, the central moments of the front edge and the rear edge of the echo are calculated, the waveform asymmetry is quantified, the dynamic stability is analyzed in combination with the attenuation gradient of the multi-time-lag coherence coefficient, the floating object interference is recognized from the double dimensions of the spatial form and the time memorability, and the actual water level is inverted. An effective scattering trailing interval is positioned, nonlinear approximation operation is performed on trailing data in combination with an index physical model, a shielded water surface energy distribution curve is reconstructed, a derivative zero point is solved, distance measurement deviation caused by floating objects is corrected, the real water level height is effectively restored, and the monitoring anti-interference capability and the data accuracy in a complex hydrological environment are improved.

A high-precision laser sludge level meter with a multi-point monitoring function includes a hanging bracket and a measuring structure; the hanging bracket allows horizontal rotation and tilt adjustment to support the measuring structure; the measuring structure includes a housing, and a Doppler optical ranging unit and a gas-liquid drying and flushing unit arranged inside the housing, where the housing is fixed on the hanging bracket, the Doppler optical ranging unit inside the housing is configured to adjust a laser focus through a lens to identify a sludge-water interface in a pipe, and a light output end of the Doppler optical ranging unit is dried and flushed by the gas-liquid drying and flushing unit. The sludge level meter measures a sludge / water interface position by adjusting a laser focal length and proportionally calculates the sludge thickness in the pipe through the focal length adjustment amount.

A sensor and method for determining the state of a humidification chamber in a respiratory gas humidifier. The sensor comprises a transmitter for emitting an electromagnetic radiation signal, a receiver for receiving the electromagnetic radiation signal and providing an output signal, and a controller for varying the intensity of the electromagnetic radiation signal emitted by the transmitter and / or the gain setting of the receiver. The controller has two sensor configurations, a first configuration in which the transmitter emits an electromagnetic radiation signal having a first intensity, the receiver has a first gain setting, and the receiver provides a first output signal, and a second configuration in which the transmitter emits an electromagnetic radiation signal having a second intensity, the receiver has a second gain setting, and the receiver provides a second output signal, wherein the first intensity is different to the second intensity, and / or the first gain setting is different to the second gain setting, and the controller determines a state of the humidification chamber by comparing the first and second outputs of the receiver with one or more threshold values.

The present disclosure discloses a guided wave radar level meter and a method of operating a guided wave radar level meter. A guided wave radar level gauge (100) for determining a filling level of a product (102) contained in a tank (104) for high pressure applications, comprising: a transceiver (203), a probe (108), a reference reflector (110) and control circuitry (200) configured to: perform a distance measurement to determine a measured distance to the reference reflector; determining a first dielectric constant of the vapor in the canister based on the measured distance to the reference reflector and a reference distance to the reference reflector; acquiring the temperature or pressure of the vapor in the tank; determining a second dielectric constant of the vapor in the tank based on the acquired temperature or pressure; and comparing a difference between the first dielectric constant and the second dielectric constant of the vapor in the canister to a predetermined difference threshold.

The invention relates to the technical field of industrial automation, and particularly discloses a remote liquid level transmitter system based on HART (Highway Addressable Remote Transducer) communication, which constructs a multi-scale state interaction tensor by synchronously acquiring original sensing signals and communication carrier quality parameters of a transmitter, respectively extracting high-order feature sets of the transmitter and analyzing a nonlinear coupling relationship between the original sensing signals and the communication carrier quality parameters; quantifying the physical health state of the sensor through tensor decomposition and manifold learning, generating a progressive quantification factor representing the integrity degradation of the sensor, predicting a failure mode and residual life based on the change track of the factor, and packaging into an enhanced diagnosis frame for returning; according to the method, the problem that early physical damage and communication interference of the sensor are difficult to distinguish is solved, and accurate early warning and predictive maintenance of hidden faults are achieved.

The invention relates to a method and system for accurately measuring the liquid level of printing and dyeing sewage. The method comprises the steps that heat distribution information and environment temperature detection data are obtained; correcting the thermodynamic distribution information by using the environment temperature detection data, splitting the corrected thermodynamic distribution information based on a preset splitting and combining rule, and recombining to obtain a plurality of pieces of dispersed thermodynamic distribution information; inputting the dispersed thermal distribution information into a preset rationality analysis model to obtain thermal distribution rationality information; and obtaining a measurement result according to the thermodynamic distribution rationality information. The device has the effect of improving the accuracy of printing and dyeing sewage liquid level measurement.

The invention discloses a self-calibration and drift compensation method for an automatic underground water monitoring station, and the method comprises the following steps: 1, transmitting a reference measurement starting instruction to an underground bubble method device by an edge calculation gateway, forming a reference data pair by a bubble method water level reference value and a reference acquisition moment, and writing the reference data pair into a reference data cache region; 2, the edge computing gateway creates a state storage structure and a covariance storage structure; and step 3, the edge computing gateway reads a drift amount estimation value from the state storage structure as a drift compensation amount, and when a drift estimation standard deviation exceeds a set threshold, bubble method hardware reference acquisition is triggered. According to the invention, the problems of high manual calibration cost and lack of independent reference support in pure software estimation in the prior art are solved, so that a monitoring station can stably operate for a long time under an unattended condition and continuously output high-precision underground water level monitoring data.

The utility model discloses a lifting module and an on-site material level simulation device, and belongs to the technical field of material level measurement. The lifting module comprises a rack, a lifting mechanism and a rack leveling assembly, the rack comprises a base and a stand column, and the stand column extends in the vertical direction and is fixed to the base; the lifting mechanism comprises a lifting driving assembly and a lifting platform, the lifting platform is installed on the stand column in a liftable mode, and the lifting driving assembly is used for driving the lifting platform to ascend and descend. The rack leveling assembly comprises a fixing piece and a lifting supporting piece, the fixing piece is fixed to the base, the lifting supporting piece is in threaded connection with the fixing piece and extends in the vertical direction, and the bottom of the lifting supporting piece can abut against the containing face of the base; the at least three rack leveling assemblies are evenly arranged at intervals and used for adjusting the horizontal posture of the base so that the whole lifting module can be kept in the horizontal state. The lifting module is applied to the on-site material level simulation device, overall leveling of the on-site material level simulation device can be achieved, and on-site in-situ calibration precision is improved.