1066results about "Level indicators by physical variable measurement" patented technology

A non-invasive liquid integrity monitoring system using dielectric fingerprinting and machine learning to detect and identify contamination in sealed containers is described. The system may employ externally-mounted sensors that measure dielectric properties through electromagnetic interrogation, comparing measurements against baseline signatures to detect deviations indicating contamination, tampering, or degradation. Industry-specific ML models enable identification of specific contaminants with confidence, providing alerts without breaching container integrity.

The invention relates to the technical field of hydrological survey, in particular to a water level photography monitoring method and device for eliminating water surface inverted image interference, and the method comprises the steps: carrying out the distortion correction of an original water gauge image, and obtaining a distortion correction image; classifying the distortion correction images to obtain day and night classification images; performing water surface line detection on the day and night classification images, identifying an initial water surface line, and correcting the initial water surface line to obtain a corrected water surface line; adaptively positioning a water gauge foreground prompt point and a non-water gauge background prompt point based on the corrected water surface line; inputting the day and night classification image, the water gauge foreground prompt point and the non-water gauge background prompt point into an SAM image segmentation model based on a cross attention mechanism to obtain a water gauge mask segmentation result; and obtaining the water level of the water body according to the water gauge mask segmentation result and the water level identification model. Real-time monitoring of the water level of the water body is achieved through the technologies of the self-adaptive prompt points, the image segmentation model and the like, and interference of water surface reflection on water level measurement is effectively overcome.

The invention provides an intelligent analysis method for the oil temperature and the oil level of a transformer. The method comprises the following steps: S1, acquiring oil temperature and oil level data of a transformer, generating displacement diagrams of two data in a coordinate system, drawing an actual oil temperature and oil level curve, and comparing the actual oil temperature and oil level curve with a standard oil temperature and oil level curve given by a manufacturer; s2, generating a relation function between the oil level and the oil temperature by using the transformer oil temperature and oil level monitoring, checking and analyzing device, and performing data comparison with a standard oil temperature and oil level curve given by a manufacturer; s3, analyzing whether the deviation between the oil temperature and oil level curve and a standard oil temperature and oil level curve given by a manufacturer exceeds an allowable value or not under the high-temperature and low-temperature operation conditions; according to the invention, quantitative data analysis can be carried out on the oil temperature and the oil quantity of the oil-immersed transformer.

This method is applicable to the technical field of bridge construction and provides a method for real-time monitoring and evaluation of the force-bearing state during the casting process of a steel-pipe concrete arch bridge. The solution involves identifying environmental background points in the RGB three-dimensional matrix for the entire bridge within the range between the maximum and minimum RGB values ​​in the local RGB three-dimensional matrix for the steel pipe, representing environmental background temperature points in the temperature information matrix, and identifying concrete pouring points based on whether the unit matrix condition for the temperature of the steel dome pipe is met. The system also obtains the horizontal axis of the pixel at the center of the poured liquid surface in the left and right half arches in a Cartesian coordinate system, divides the entire arch rib to be poured into 2n equal parts, and calculates the cross-sectional displacement response of each structure based on the cross-sectional displacement caused by the load action of each segment. This allows for real-time, efficient, and accurate observation of the difference in concrete liquid surface level on both sides, allowing for the structural response during pouring to be determined and reducing the construction risk of arch bridges.

A beverage dispenser having a beverage-level indicating system. The beverage dispenser includes a housing and a dispensing head arranged on the housing for dispensing a beverage into a beverage container. The beverage dispenser further includes a beverage-level sensor arranged on the housing and which determines a beverage level within the beverage container without contacting the beverage within the beverage container, a beverage-level indicator that provides a visual indication of the beverage level within the beverage container, and a control unit that causes the beverage-level indicator to indicate the beverage level within the beverage container based on the beverage level as determined by the beverage-level sensor.

A vehicle includes a mixing drum rotatably coupled to a chassis, a fill level sensor configured to provide a signal indicative of a fill level of a material within the mixing drum, an axle assembly including a first tractive element, a suspension actuator coupled to the axle assembly and configured to apply a biasing force that forces the first tractive element into engagement with a ground surface, a lift axle including a second tractive element, a lift actuator coupled to the lift axle, and a controller. The controller is configured to calculate a target weight to be supported by at least one of the first tractive element or the second tractive element based on the fill level of the material within the mixing drum and control the suspension actuator to vary the biasing force based on the target weight.

Systems, methods, and devices relate to a smart sensor usable for monitoring materials within container systems. A smart sensor device may include a base portion provided on an exterior of a tank containing a material, and an internal cavity housing a sensor to detect a level of the material within the tank through an outer surface of the container. The smart sensor device may track readings over time, from one or more container systems, and identify various usage trends. Usage trends and safety alerts may include current supply levels, historical usage rates, and low-level alerts. Such alerts and notifications may be communicated to a dashboard on a remote computing device.

The invention provides an underground water level and conductivity accurate measurement system, which comprises an underground probe module, a three-core composite cable and a water level measurement module, the outside-well module is used for deploying a microprocessor, a serial communication bus and a lithium-thionyl chloride battery pack outside a well, and then correcting and initially presetting and calibrating acquired signals; the precise monitoring module is used for carrying out multi-stage filtering processing and final state estimation on the signals to obtain multi-channel fusion data; the misjudgment eliminating module is used for performing multi-layer measurement judgment and dynamic confirmation to obtain a real water level point; the model calculation module is used for carrying out water level inversion by utilizing a hydrological model to obtain hydrological parameters of a well hole and a water-bearing layer; and the data platform module is used for pushing, storing and visually displaying real-time data streams. The method can adapt to high-precision multi-parameter real-time monitoring under extremely complex well conditions, the recognition accuracy of underground water parameters such as the water level and the conductivity is greatly improved, the misjudgment risk is reduced, and accurate underground water level measurement is achieved.

The invention particularly relates to a liquid level monitoring system for a flow battery based on machine vision. The liquid level monitoring system comprises an image acquisition module; the liquid level detection module is used for analyzing based on the liquid level image of the flow battery to obtain an analyzed and evaluated liquid level of the flow battery; the display and interaction module is used for outputting and presenting the liquid level detection result; and a system control module. According to the method, the first evaluation liquid level preliminarily locates the liquid level contour in a rapid gradient calculation mode, the second evaluation liquid level accurately extracts the edge through multi-stage processing, and the two parts complement each other; in the comprehensive analysis stage, by means of unique mean value calculation, a method for constructing a geometric model based on liquid level deviation and calculating a difference coefficient, and in combination with a preset threshold value, an additional liquid level value is matched, errors of a single detection method can be effectively eliminated, and detection deviation caused by factors such as environment interference and image noise can be corrected.

A method and apparatus are provided. An aerosol-generating device includes a chamber configured to store a liquid aerosol-generating material, a main body including a partition wall facing the chamber, a conductive member provided on one surface of the chamber facing the partition wall, and a level sensor configured to sense an amount of the liquid aerosol-generating material stored in the chamber, in which the level sensor is configured to sense the amount of the liquid aerosol-generating material by applying current to the conductive member and measuring a voltage value that varies depending on a capacity of the liquid aerosol-generating material.

The present application relates to a kind of water spraying truck water level intelligent control system, including frame, the top of the frame is fixed with water tank, the tail of the water tank is fixedly installed with display screen, the bottom of the frame is fixedly connected with scissor frame, the frame and the scissor frame are fixedly connected with first electric push rod, the frame is driven connection with spray pipe between the scissor frame, the spray pipe includes main spray pipe and vice spray pipe, the bottom of the scissor frame is fixedly connected with main spray pipe, the both ends of the main spray pipe are hingedly connected with vice spray pipe, the main spray pipe is communicated with the vice spray pipe, the second electric push rod is fixedly connected between the vice spray pipe.The present application not only solves the problem that the working distance is not easy to control in the prior art when water spraying truck works, leading to often spraying to half without water, or after spraying work is completed, there is still a lot of water in water tank, but also can increase spraying area, improve work efficiency.

The invention discloses a gradient thermocouple liquid level real-time detector, and relates to the technical field of liquid level detection, an integrated gradient thermocouple probe rod structure is adopted, a plurality of groups of thermocouple nodes are integrated on a single corrosion-resistant alloy integrated gradient thermocouple probe rod according to a preset interval through a special process, and a continuous temperature gradient sensitive area is formed. A high-precision signal processing circuit is embedded in the integrated gradient thermocouple probe rod, the temperature difference potential of each node is collected in real time, the liquid level height is calculated based on a dynamic temperature field modeling algorithm, and full-scale continuous measurement is achieved. Gradient node distributed layout is created for the first time, and a blind area of traditional point type measurement is eliminated; a self-adaptive temperature compensation mechanism is developed, and medium layering and boiling interference are overcome; the integrated gradient thermocouple probe rod adopts vacuum sealing and a nanometer heat insulation coating, and can resist a high temperature of 600 DEG C and a high pressure environment of 40 MPa. The device has millimeter-level measurement precision and millisecond-level dynamic response capability, does not need to move parts or external radiation sources, and remarkably improves the reliability, safety and installation convenience of liquid level monitoring of industrial reaction kettles and high-pressure boilers under extreme working conditions.

The invention discloses an intelligent water level detection method, system and device for a water conservancy project and a medium, and belongs to the field of detection. The device is suitable for a surge water flow environment, and through the deployed dual-working-mode electrode, reset signals are circularly collected and filtered to obtain a pure target voltage sequence. Through difference calculation and threshold comparison, a continuous voltage sequence is converted into a discrete voltage jump event sequence containing time, direction and amplitude. The occurrence frequency, the interval duration and the amplitude statistical value of the event sequence are calculated through a sliding time window, and a time domain feature vector sequence is generated; the feature vector sequence is input into a pre-trained hidden Markov model to decode a non-contact, surge or continuous contact state sequence of each electrode. Finally, the state sequence of the multiple electrodes is analyzed, the final reliable water level monitoring information is determined by confirming the continuous and stable contact state, the real water level and surge interference are effectively distinguished, and the reliability and accuracy of the water level detection result can be improved.

The invention discloses a three-mode switching type sewage plant biochemical pool inspection robot control system, and belongs to the technical field of robot inspection, the three-mode switching type sewage plant biochemical pool inspection robot control system comprises a composite moving system, an integrated crawler walking module, a buoy module and a propeller module, and the three-mode switching type sewage plant biochemical pool inspection robot control system is used for controlling and switching walking modes of an inspection robot; the mode switching triggering mechanism is used for switching the composite moving system to the crawler walking module, the buoy module or the propeller module according to the water depth; the multi-source heterogeneous sensor monitoring module is used for detecting environmental data in real time through a multi-source heterogeneous sensor; and the path planning module is used for fusing monitoring data of the multi-source heterogeneous sensor, optimizing a global path by adopting an improved ant colony algorithm, and carrying out dynamic obstacle avoidance in combination with a D * Lite algorithm. Switching of multiple propelling modes is supported, and limitation of a single moving mode of a traditional robot is broken through; and meanwhile, monitoring data of heterogeneous sensors are aligned, and dynamic obstacle avoidance is performed by adopting an improved ant colony algorithm in combination with a D * Lite algorithm, so that the accuracy of path planning is improved.

A powder dispensing apparatus having an elongate wedge-shaped hopper including one or more fluidized plates is described. The powder dispensing apparatus can be positioned above a pair of calender rolls to distribute a powder, such as a dry electrode material onto the calender rolls. Such fluidized wedge shaped hopper advantageously allows for an accurate and / or controlled rate of powder distribution across or substantially across the length of a calender roll.

The invention relates to the field of guide bearing bush control, in particular to a signal processing system and method for guide bearing bush clearance automatic adjustment, and the system comprises a clearance metering module, a model boundary module, a fault learning module, a clearance adjustment module and an oil film lubrication module, the model boundary module is used for establishing a dynamic pressure lubrication model of the guide bearing bush and solving the gap of the guide bearing bush, the fault learning module is used for determining the gap adjustment amount, the gap adjustment module is used for adjusting gap distribution, and the oil film lubrication module is used for adjusting lubricating oil injection. And fault identification and automatic fault-tolerant adjustment are carried out, so that mechanical vibration of the bearing is reduced, operation stability of equipment is guaranteed, abnormal bearing bush gaps are avoided, mechanical efficiency of the bearing is improved, invalid power loss is reduced, service life of the equipment is prolonged, thickness and pressure distribution of a lubricating oil film are improved, and performance of bearing turbine equipment is improved.

The invention discloses a device for measuring the solid material level in a container in a non-direct contact manner, which is arranged on a tank body of a sand collecting tank and comprises a series of temperature probes, signal transmission lines, a main transmitter, a main signal transmission line and a main monitor, and the signal transmission lines, the main transmitter, the main signal transmission line and the main monitor are respectively arranged corresponding to the different temperature probes. The device is suitable for detecting and transmitting material level signals of solid sand in the sand collecting tank after separation and collection at the seabed, the purposes of online detection and control are achieved, the sand level including the liquid level in the container sand collecting tank or the sand storage tank can be effectively detected in real time, and it is ensured that the sand removing operation can be normally carried out. The system has the advantages of no environmental pollution, high monitoring efficiency and strong anti-interference capability, and provides important technical support for long-period seabed oil and gas exploitation, especially deep sea and open sea oil and gas exploitation.

The invention relates to the technical field of detection and calibration, and particularly discloses an efficient flowmeter detection and calibration method based on gravitational potential energy, which comprises the following steps: S1, building a detection and calibration device which comprises a height-adjustable water tank, a capacitance liquid level sensing unit, a water inlet control unit, a flow regulation and calibration unit and a control and display unit; s2, liquid level signals in the height-adjustable water tank are collected in real time through a capacitance liquid level sensing unit and fed back to a control and display unit, the control and display unit regulates and controls an execution element of a water inlet control unit, and the liquid level difference in the water tank is stably controlled within a preset threshold value; and S3, the installation height of the height-adjustable water tank is adjusted to change the gravitational potential energy of the fluid. The method effectively solves the problems of poor range adaptability, insufficient precision, low efficiency and the like in the existing flowmeter calibration technology, has universality, stability, high precision and high efficiency, and is suitable for flowmeter batch calibration scenes in the fields of industrial production, energy metering and the like.

The invention relates to the technical field of risk analysis, in particular to a water conservancy project risk assessment method based on big data, which comprises the following steps: acquiring deformation and water level signals and converting the signals into a sequence, generating an original monitoring sequence based on a timestamp, identifying a whole process span and intercepting and generating a periodic data set, generating a complete monitoring sequence by using interpolation filling, constructing a water level displacement closed curve, calculating a vector product difference value to obtain a geometric area, calculating an arithmetic mean value to generate a centroid coordinate, obtaining a dissipated energy increase coefficient and a structure permanent deformation cumulant, and generating an evaluation result based on threshold comparison. According to the method, the two-dimensional phase space model is established, the structure response is converted into the closed trajectory curve, the hysteresis loop area and centroid offset are calculated, energy dissipation and deformation accumulation of the structure under cyclic loading are quantitatively represented, abnormal plastic damage is effectively stripped, and early recognition of the potential irreversible damage risk of the structure is achieved.

The invention discloses a method for determining displayed oil quantity and a related device, and relates to the technical field of intelligent automobiles. The method comprises: determining a running state of a vehicle based on driving data of the vehicle (S201); acquiring an oil quantity resistance value of the vehicle in the operating state (S202), wherein the oil quantity resistance value is used for indicating the measured oil quantity of the vehicle; and if the operation state is a first state, determining a target display fuel quantity of the vehicle based on the current display fuel quantity, the fuel quantity resistance value, and a first fuel injection quantity (S203), the first state being used for indicating that the first fuel injection quantity is the fuel injection quantity collected during the operation of the engine of the vehicle during the operation of the engine of the vehicle during the operation of the engine of the vehicle. The accuracy of displaying the calculation of the fuel quantity can be improved.

The present invention relates to an electrostatic spray device comprising: a water tank unit having one open side and accommodating a liquid base solution; an electrode unit, which applies power to the base solution so as to generate a potential difference for droplet formation of the base solution; and a nozzle unit which is provided inside the water tank unit and which discharges the base solution in the droplet form by means of the potential difference, wherein the nozzle unit has a lower portion immersed in the base solution, and thus can autonomously absorb the base solution. Therefore, the present invention can spray micro-droplets by means of electrostatic spraying.

The invention provides a water level measuring device based on a distributed temperature sensor and a high-precision measuring system.The water level measuring device comprises an optical fiber rod, a base, a polygonal rod and a shell, the polygonal rod and the shell are fixed to the base, and a vertical polygonal through hole matched with the polygonal rod in shape is formed in the optical fiber rod; the polygonal rod is inserted into the optical fiber rod to enable the optical fiber rod to be fixed on the base, the bottom of the shell is of a mesh structure, the optical fiber rod is located in the shell, sensing optical fibers of the distributed temperature sensors are wound on the optical fiber rod, and according to the spatial resolution requirement of the water level of accumulated water and the spatial resolution of the sensing optical fibers corresponding to the distributed temperature sensors, the sensing optical fibers are distributed. The winding length of the sensing optical fiber in the corresponding height in the vertical direction of the optical fiber rod is adjusted, and the temperature measurement precision of the distributed temperature sensor is smaller than or equal to the minimum difference value of the air temperature and the accumulated water temperature. The device is passive equipment, is low in energy consumption, has universality and is high in measurement accuracy.

A humidification system comprises a first sensor and a second sensor. The first and second sensors are adapted to sense flow characteristics within the system. The first and second sensors are isolated from the flow by barriers formed by respective first and second sealing members. The sealing members extend through apertures formed in the system and have a portion that contacts the sensing elements of the respective first and second sensors. A cartridge can hold the sensors and provide repeatable penetration depths into a flow passage of the system. A medical tube has a composite structure made of two or more distinct components that are spirally wound to form an elongate tube. One component can be a spirally wound elongate hollow body; the other component can be an elongate structural component spirally wound between turns of the spirally wound hollow body.

The utility model discloses an impedance spectroscopy sensor connecting mechanism and a liquid level detection system, and belongs to the field of liquid level detection devices. The liquid level detection system includes a liquid container and an impedance spectroscopy sensor connection mechanism. The impedance spectroscopy sensor connection mechanism includes a sensor body and a joint assembly. The sensor body is provided with a first section and a second section which are connected with each other, and the outer diameter of the first section is larger than that of the second section, so that a first step is formed at the joint of the first section and the second section; a cable is arranged at one end of the first section away from the second section; the connector assembly comprises a connector and a limiting piece. A through hole is formed in the connector, the end, away from the first section, of the second section penetrates out of the through hole, the first step is rotationally clamped with the hole wall of the through hole, and the limiting piece is detachably connected with the end, penetrating out of the through hole, of the second section so as to limit the second section to retreat from the through hole. When the connector is screwed into the interface, an operator can hold the sensor body, so that the sensor body is prevented from rotating along with the rotation of the connector, and a cable is further prevented from rotating along with the connector.

A system and method for measuring or for estimating flow or flowrate of a fluid, including wastewater inflow or infiltration, using non-contact depth-based flow measurement, including: receiving a depth sensor signal from an ultrasonic depth sensor positionable over a manhole channel above an outgoing pipe's crown; receiving a temperature signal from a temperature sensor positionable within the manhole channel; receiving one or more data input signals; calculating a distance to a surface of the fluid based on the received depth sensor signal; and determining a depth of the fluid in the manhole channel based on the calculated distance. Flow velocity may be calculated using Manning's equation or the Hazen-Williams equation, with flow rate subsequently determined using the continuity equation. Alternatively, flow velocity and flow rate may be estimated using a machine learning model trained on simulated or historical time-series data of flow rate, flow velocity, and flow depth, along with pipe attributes, to generate real-time flow estimates based on current and prior flow depth measurements.

The invention discloses an active eddy current excitation thermocouple gradient liquid level detector, relates to the technical field of industrial process detection, and aims to overcome the defects that a traditional thermocouple liquid level meter lags in response in a complex medium, and the measurement precision is limited by heat conduction characteristics. According to the scheme, a fusion mechanism of active eddy current excitation and distributed thermocouple gradient detection is innovatively provided. A miniature magnetofluid driven vortex generator is integrated in a coaxial nested detection rod, so that detected liquid is actively induced to generate directional vortex flow, and a static thermal boundary layer of a medium is broken; meanwhile, multiple stages of thermocouple arrays are precisely arranged in the axial direction, and dynamic temperature gradient jump signals at the liquid-steam interface under eddy current disturbance are captured in real time. The design breaks through the physical limit of passive heat conduction detection, the liquid level resolution is improved to the millimeter level, and the response time is shortened by more than 80%. Experiments show that in a 300 DEG C liquid sodium environment, the system measurement error is less than + / -1.5 mm, which is significantly superior to that of an existing contact type liquid level instrument.

The application discloses a self-adaptive capacitive liquid level sensor, which comprises a metal cylinder, a PCB circuit board, a reference electrode and a measuring electrode which are arranged on the PCB circuit board and are insulated from each other, the reference electrode is arranged at the bottom end of the PCB circuit board and is used for forming a reference capacitor with the metal cylinder, the measuring electrode is arranged above the reference electrode and is used for forming a measuring capacitor with the metal cylinder, and a controller is arranged for calculating the liquid level height after compensating the measuring capacitor by the reference capacitor. The capacitive liquid level sensor is provided with the reference electrode and the corresponding algorithm steps, so that the calculation of the liquid level height is irrelevant to the dielectric constant of the medium, thereby avoiding the detection error caused by the change of the dielectric constant, and the sensor can be applicable to the liquid level detection of different oil products in different environments.

The invention discloses a multi-modal water level monitoring and well lid alarming method based on AI, and the method comprises the steps: arranging a water immersion and triggering alarm terminal of an integrated electrode sensor and a Hall sensor in an open bin of a well lid base, integrating terminal data, image data and environment data, and carrying out the standardization processing, thereby generating a multi-modal fusion feature. And by taking the characteristics as core input, constructing an AI model, and outputting an accumulated water abnormal probability and a well lid jacking probability. In combination with the pipe network topology, historical data and a dynamic threshold value of a digital twin system, the road surface ponding grade and the well lid abnormity reason are accurately judged, and the alarm effectiveness is verified through multi-source credibility fusion. Meanwhile, an alarm result and disposal feedback are synchronized to the digital twin system, and a training data set is updated to iteratively optimize model parameters. According to the method, the hysteresis quality and the false alarm rate of traditional monitoring are effectively reduced, the operation and maintenance efficiency and the emergency response capability of a municipal pipe network are remarkably improved, and reliable technical support is provided for urban inland inundation prevention and control and road safety guarantee.

The invention relates to the technical field of transportation safety monitoring, in particular to a tank car liquid level on-line detection method which comprises the steps that a medium-wave infrared image and a long-wave infrared image of a tank car are collected, and the environment temperature is synchronously obtained; fusing the medium-wave infrared image and the long-wave infrared image to generate a fused image; liquid level boundary candidate areas are extracted, and effective liquid level boundaries are determined through geometric constraint and temperature gradient verification; the effective liquid temperature is output after environment temperature verification; performing temperature compensation based on the effective liquid temperature and the expansion coefficient, and generating a dynamic threshold by combining vehicle speed vibration compensation; the actual liquid level height is converted according to the position of the effective liquid level boundary and the parameters of the tank body and compared with a dynamic threshold value to trigger grading alarm or emergency locking operation. The low-temperature liquid level line contrast ratio and the rain and fog day recognition rate are enhanced, the over-loading risk caused by thermal expansion is avoided, and the system robustness and the alarm accuracy are improved.

The invention relates to an impregnation machine resin liquid level intelligent sensing and early warning method. The method comprises the steps that multiple sampling positions are arranged in a resin liquid level area in impregnation machine equipment; performing noise suppression and signal normalization processing on the time domain dielectric signal data set; performing feature classification on the data samples under different working conditions; adopting the historical liquid level response database to construct a multi-working-condition adaptive baseline model; a standardized time domain dielectric signal sequence obtained through actual sampling is input into the multi-working-condition self-adaptive baseline model, and a liquid level local abnormal trend signal is obtained; performing multi-window space-time distribution dynamic imaging processing on the liquid level local abnormal trend signal; inputting the amplitude, continuity and spatial diffusion characteristic parameters of the trend change into a historical false alarm and artifact event characteristic library; and dynamically generating a self-adaptive early warning threshold value for the liquid level abnormal trend signal after the artifacts are removed. According to the invention, high-sensitivity acquisition and dynamic amplification of local electromagnetic response caused by small fluctuation of the resin liquid level can be realized.