1944results about "Investigating moving fluids/granular solids" patented technology

Methods of creating and using digital twins of vegetation / crops in relation to their growing environments. Some embodiments include creating a digital twin of the growing environment using sensor data from a subsurface sensor suite, creating a digital twin of the vegetation crop using data from an overhead sensor suite, and using at least one mathematical model to relate the digital twin of the crop to the digital twin of the growing environment. In some embodiments, the mathematical model(s) implement a root cause analysis that uses a limiting factor approach. In some embodiments, the subsurface sensor suite is on a multi-sensor soil probe. In some embodiments, the multi-sensor soil probe comprises a video microscope, a tip stress sensor, a sleeve stress sensor, and a volumetric- water-content sensor. Other related systems, devices, methods, and software are also disclosed.

Prediction of water quality parameters via monitoring, reporting, and verification sensor-geospatial fusion networks may be provided by a system comprising a plurality of separate water fixtures, wherein each of the plurality of separate water fixtures includes: an optical sensor, and a data transmission system configured to transmit sensor data from each of the plurality of separate water fixtures; and a contamination detection system configured to: receive sensor data from each of the plurality of separate water fixtures and remote sensing data; calculate changepoints within the sensor data; split the data into intervals at the changepoints; classify the intervals using a machine learning model; and identify a predicted contamination of a water source based on the classified intervals using the sensor data from a subset of the plurality of separate water fixtures and the remote sensing data to yield a near-time estimation of water quality parameters.

The invention relates to the technical field of grain sorting and cleaning, in particular to a multi-modal sensor fusion-based grain quality dynamic grading and stone removal cooperative control method, which comprises the following steps of: 1, synchronously collecting by a multi-modal sensor, and generating a synchronous pulse through a high-speed photoelectric trigger when grains fall, a linear array camera is triggered to collect grain surface morphology sequence images, a near-infrared spectrometer collects an absorbance curve and moisture content data, and a piezoelectric weighing platform collects impact pressure waveforms; step 2, dynamic grading decision making; step 3, generation of collaborative parameters; 4, executing and feedback optimization, and issuing the generated parameters to a vibrating screen, a fan and an inclination angle adjusting mechanism to execute control; and detecting the proportion of residual impurities at a stone removal outlet, and triggering the cascade decision-making model to retrain when the proportion exceeds the limit continuously. Through the design, the grain grading and stone removing efficiency and accuracy are remarkably improved, and high-quality product experience and value-added benefits are provided for users.

Provided in the present invention are an imaging device and method for turbid oil abrasive particles based on polarized image enhancement, which belong to the technical field of image processing. The imaging device of the present invention includes a CMOS fixing device, a Stokes polarized CMOS sensor, an optical lens sleeve and an optical magnifying glass, where the Stokes polarized CMOS sensor includes a CMOS sensor and a Stokes analyzer. By using a polarization characteristic difference between scattered light of lubricating oil media and reflected light of abrasive particles, Stokes vector information is measured in real time under turbid lubricating oil scenes, the scattered light of the media is filtered out, image quality of the abrasive particles is improved, coverage duration for monitoring abrasive particle imaging is effectively prolonged.

Systems and methods are provided for monitoring operation of an agricultural harvesting machine, such as a forage harvester. A first sensor, operably coupled, in use, to the harvesting machine, obtains first sensor data which is indicative of a crop content measure. A second sensor, operably coupled, in use, to the harvesting machine, obtains second sensor data which is indicative of a crop size measure. A crop processing metric is calculated in dependence on the first and second sensor data and used to control operation of one or more operable components of or otherwise associated with the agricultural harvesting machine, e.g. to adjust a level of processing applied by the harvesting machine.

The invention relates to the technical field of model training, in particular to a training method and system for an oil smoke concentration detection model and a medium. The method comprises the following steps: acquiring an oil fume discharge image frame in real time in a selected oil fume discharge area, and performing fuzzy distortion elimination processing to obtain an oil fume fuzzy distortion removed image frame; constructing a convolutional network layer and a deconvolutional network layer, and performing multi-scale step-by-step feature extraction to obtain a lampblack image feature set; inputting the oil smoke image feature set into a deconvolution network layer to carry out concentration detection model training so as to generate an oil smoke concentration detection model, and outputting an oil smoke concentration model detection result; performing oil smoke concentration quantification and frame-by-frame labeling on the corresponding oil smoke fuzzy distortion removed image frames based on the oil smoke image feature set to obtain an actual oil smoke concentration labeling result; and introducing a discriminator and carrying out model confrontation optimization to generate an oil smoke concentration detection optimization model. According to the invention, the detection precision and robustness of the oil smoke concentration can be improved.

The invention relates to the technical field of underwater sediment measurement, in particular to a microspur measurement device and method, and provides the following scheme: firstly, screening out an initial local selected area through overall image graying and feature extraction, and adjusting the local area through iteration to ensure that a microspur image can accurately reflect particle features in the overall image; then, decomposing and extracting high-frequency edge information by using a Laplacian pyramid, eliminating background noise through gray variance, and generating a particle region graph; further separating adjacent particles by using an adhesive particle cutting technology, and finally generating a high-quality sediment image through image correction; according to the method, the microspur image acquisition frequency can be reduced, the particle measurement accuracy is improved, the data processing complexity is reduced, and the method has relatively high measurement precision and practical value.

The invention discloses a rock mass fracture multi-field coupling two-phase flow analysis method and a test system, and relates to the technical field of rock fracture temperature-seepage-stress coupling action mechanism research. The analysis method comprises the following steps: saturating a crack sample with a first dyeing fluid under a target temperature and pressure condition, and obtaining a single-phase saturated flow image of the crack sample; on the basis of the single-phase saturated flow image, through optical iteration inversion calculation, obtaining fracture opening two-dimensional distribution characteristics under a target condition; under the condition of the same temperature and pressure, displacing the first dyeing fluid with the second dyeing fluid or co-flowing with the first dyeing fluid to obtain a two-phase flow image of the crack sample; performing digital image processing on the two-phase flow image and the single-phase saturated flow image, and extracting phase distribution information of the second dyeing fluid; and performing fusion analysis on the phase distribution information of the second dyeing fluid and the fracture opening two-dimensional distribution characteristics, and calculating a two-phase flow structure and saturation distribution characteristics. According to the method, rock mass fracture two-phase flow process quantitative analysis can be realized under different temperature and pressure conditions.

The invention discloses a methane point source emission remote sensing recognition and plume extraction method and a methane point source emission remote sensing recognition and plume extraction system, belongs to the technical field of methane point source recognition, and solves the problems of incomplete methane plume extraction and lack of morphological characteristics of an extraction result in a traditional signal filtering method by introducing threshold segmentation, spatial continuity and geographic space constraints. And the method has good applicability to the multi-point dissipation condition in the after-mine activity process of a coal mine area.

An optical detection assembly for monitoring a fluid includes a light source, a light detector array, and a controller. The controller receives signals from the light detector array that are indicative of the intensity of light received by the light detector array after the light has passed through the fluid. The controller generates a scattering profile based on the signals, with the scattering profile including rising and falling edges each having a slope. The controller calculates one or both slopes and determines the platelet mass index (for a platelet-containing fluid) and / or the concentration of a substance in the fluid based on said slope(s). The optical detection assembly may also be used to analyze a reference fluid having a known concentration of the substance, with signals received by the controller when analyzing the reference fluid being a factor when determining the concentration of the substance in the fluid of interest.

The invention discloses a coal quality on-line detection system for a power plant, and belongs to the technical field of coal quality detection.The coal quality on-line detection system comprises a conveying belt used for conveying coal, a fixing frame is fixedly installed above a frame body of the conveying belt, a detector is fixedly installed on the fixing frame in a penetrating mode, and the detector and the conveying belt are correspondingly arranged up and down; the driving assembly is mounted on the upper surface of the fixing frame; the pressing assembly is arranged on the inner side of the fixing frame, and the pressing assembly is driven by the driving assembly to flatten the coal; the leveling assembly is movably mounted on the lower surface of the fixing frame; the cleaning assembly is arranged on the lower surface of the fixing frame, and the cleaning assembly is arranged on the outer side of the lower end of the detector. According to the coal quality online detection system for the power plant, conveyed coal can be automatically leveled in the detection process, the detection precision is prevented from being influenced by the detection height difference, the detector lens can be automatically cleaned in the detection process, and the detection precision is further improved.

A system for detecting plastics, macro-plastics, micro-plastics and nano-plastics in a maritime, estuary or river environment includes multiple detection devices and a data processing device. The detection devices detect the plastics, macro-plastics, micro-plastics, and nano-plastics using different detection wavelengths. The data processing device includes a communication interface and a processor. The communication interface receives detection signals from the detection devices and the processor determines locations of the plastics, the macro-plastics, the micro-plastics and the nano-plastics in the environment based at least in part on the received detection signals within a common coordinate system.

A point of care analyte detection and quantification system for healthcare application is provided. Related methods are also provided.

Provided are a device and a method for multi-angle stereoscopic imaging measurement of precipitation particles, including an optical illumination unit used for illuminating a sampling space; a multi-angle imaging unit used for performing multi-angle imaging on the precipitation particles; a data acquisition control unit used for controlling the optical illumination unit and the multi-angle imaging unit; a data processing unit used for processing and displaying image data of the precipitation particles; and a protection unit used for protecting the optical illumination unit, the multi-angle imaging unit and the data acquisition control unit.

The invention discloses a gas leakage detection method, a program product and equipment. The method comprises the following steps: acquiring a current scene image in a monitoring scene; obtaining a target gas type in the monitoring scene, wherein the target gas type is a type divided according to the gas temperature; and determining a target gas area in the current scene image based on the target gas type. The invention relates to the technical field of gas detection, and can improve the precision of gas detection.

A device for detecting particles in fluid and a process for detecting said particles according to the present invention are provided to detect particles in fluid using an optical technique consisting of electromagnetic sources which produce at least two wavelengths and are equipped with at least one polarizing sheet at any one of the electromagnetic sources. An electromagnetic wave directly obtained from the electromagnetic source and a polarized electromagnetic wave irradiate the particles detected in a detection region, which is provided in the same area with or connected to a container containing a medium fluid. Next to the detection region, a second polarizing sheet and a two-dimensional sensor array are provided in sequence. The electromagnetic waves which have passed through the second polarizing sheet irradiate the two-dimensional sensor array and the data obtained from said sensor will be processed by a processor to detect the particles and report the results.

A sensor unit of a spectroscopic analysis apparatus includes a distal end portion that includes a built-in optical system for irradiating a measurement target substance with measurement light to take in return light from the measurement target substance and that is attached to a container for fluid containing the measurement target substance, in which the distal end portion includes a facing wall surface that faces an emission surface of the measurement light of the optical system, and a holding portion that protrudes from an emission surface side to a facing wall surface side, that holds the facing wall surface in a state in which a space for the fluid to flow is provided between the emission surface and the facing wall surface, and that includes an inflow port and an outflow port for the fluid and side wall surfaces disposed on both sides in a flow direction of the fluid.

Methods and systems are provided for foreign object debris monitoring in an environment with a dynamic debris field, such as an environment for operating an aircraft. The debris monitoring technique includes generating a light beam and dispersing it to create a virtual witness plate, which is a two-dimensional sheet of light that covers a detection area. The technique also include detecting scattered light from the virtual witness plate caused by debris passing through it. A debris event may be generated based on the scattered light, indicating the presence of debris in the detection area.

Mining shovel with compositional multispectral and / or hyperspectral imaging and associated methods and systems are disclosed herein. In some embodiments, a mining detection system includes a mining bucket carrying a multispectral and / or hyperspectral imaging system and various sensors directed toward material entering and positioned within the bucket. The bucket can also carry a control enclosure housing image and sensor processing equipment that receives and analyzes the data collected by the multispectral and / or hyperspectral imaging system and the sensors. The disclosed systems and methods can provide real-time compositional analysis of mined materials at the mining site, which can be used to manage a mining field, including generating and transmitting instructions for where the material within the bucket should be delivered based on the data collected from the multispectral and / or hyperspectral imaging system and the sensors.

Various implementations, systems and methods are disclosed for continuous, near real-time, hands-off sampling of airborne particulate matter, and qualification and / or quantification of biomolecules in the sample representative for biologic or microbial contamination. The systems and methods may utilize an electrostatic precipitator for sampling the matter; and a measurement assembly configured to illuminate, excite, or breakdown the sampled matter by electromagnetic radiation, and to detect a spectrum, or one or more wavelength bands of the scatter emitted by the sample. In an exemplary implementation, a sputter deposition process is employed to configure the sample for an enhanced plasmon resonance. The measurement data may be transferred via wireless communication means for cloud storage and signal processing.

A milking system includes a device to sample and analyse a milk sample, including a control unit, a sample supply line connected to the milk line, a pump to control the sample flow, an optical radiation source, and an optical sensor device to detect and analyse optical radiation coming from the reagent pad with said sample, to provide an indication of a substance in the sample, a tape mover to move and unwind the tape from the tape reel, and a pump drive, external to the cassette, and releasably operably connected to the pump device for driving the pump device. The sampling and analysis device also includes a cassette with a sample receiving line, releasably connected to the sample supply line by a liquid connector, and arranged to receive the sample from the sample supply line, a tape reel with a tape that includes a base tape layer and a series of separate reagent pads, and a dosing device to provide a droplet of the sample onto a reagent pad. The dosing device includes a nozzle in fluid connection with the sample receiving line, and a nozzle mover arranged to move the nozzle in at least a longitudinal direction. The cassette is replaceably received in the milking system. Hereby, a large number of parts that are subject to wear and contamination by milk residues are exchanged regularly, which improves measurement reliability and accuracy.

Embodiments herein relate to a system for detecting bubbles in a fluid. In an embodiment, a fluidic system ventilation detector having an optical bubble sensor is included. The optical bubble sensor may include a light source, a light detector, and a sensor controller. The sensor controller may be in signal communication with the light detector and may be configured to detect bubbles based on a signal received from the light detector. The sensor controller may be further configured to estimate a throughput of the fluid based on the detected bubbles. Other embodiments are also included herein.

The invention relates to an inspection system for quality analysis of a food product, comprising a conveyor for moving it to an inspection area, a lighting device consisting of LEDs that emit a light sequence directed towards the inspection area to light up the product by transmission, a linear camera with at least one line of pixels for collecting a plurality of images in each light sequence of the lighting device, and a focusing member for focusing the beam emitted by the lighting device. Advantageously, the lighting device is activated in a pulsed manner, generating a light sequence with at least two different illuminations, at least one of which is a transmission-pulsed illumination. The lighting device is aligned on the axis formed by the product to be inspected and the linear camera.

Systems and methods for measuring water concentration in a liquid medium include a flow cell configured to fluidly couple to a pipe; a light source coupled to a first side of the flow cell; an infrared camera coupled to a second side of the flow cell opposite the first side; and at least one processor and a memory storing instructions that when executed by the at least one processor cause the at least one processor to perform operations. The operations include acquiring one or more images from the infrared camera; detecting water droplets in the one or more images using a trained machine learning model; and determining a concentration of water in the liquid medium based on the detected water droplets.

A forage harvester with a camera system. The camera system is configured to detect and evaluate a harvested material flow processed by working units of the forage harvester. The harvested material flow comprises whole grains, and comminuted grains as grain components and non-grain components. The camera system comprising an image sensor and an objective arranged or positioned upstream from the image sensor. The image sensor, arranged or positioned opposite the viewing window, is positioned in a housing which is arranged or positioned on a discharge chute of the forage harvester and in which a transparent viewing window is arranged or positioned, past which the harvested material flow flows. Light beams from a first light source are directed onto the harvested material flow. Further, an image analysis apparatus receives images from the image sensor of the harvested material flow for evaluation.

An apparatus and method for safe, timely and precise analytical composition measurements of a body of molten metal or alloy arranged in a metal furnace using an evacuated hollow tube to extract a sample of a melt from the body of molten metal or alloy. With the invention, the need for human intervention in sample extraction may be minimized, e.g., transportation of and preparation of a sample. The method comprises configuring a hollow tube to a metal furnace, establishing vacuum conditions within the hollow tube to extract the molten metal or alloy into the hollow tube to form a liquid metal or alloy column within said tube and carrying out elemental composition measurements on said liquid metal or alloy using known techniques such as Laser Induced Breakdown Spectroscopy (LIBS).

In an analytical device and an analytical method using the FIA ​​method, the quantitativeness of analysis of a detection target of a bacterial-derived substance containing endotoxin is improved. [Solution] The analytical apparatus includes a membrane filtration device equipped with a microfiltration membrane or an ultrafiltration membrane, a flow injection system that analyzes sample water through a reaction between a detection target contained in the sample water and a reagent contained in carrier water that reacts with the detection target, a first pipe through which concentrated water in which the detection target has been concentrated by the membrane filtration device flows into the flow injection system as sample water, and a pump that pressurizes the sample water in the first pipe.

The invention discloses a burning metal particle three-dimensional surface panoramic microscopic imaging measurement method. The method comprises the following steps: collecting a dynamic panoramic microscopic image of burning metal particles; the collected panoramic microscopic image is preprocessed, the combustion metal particles are cut out independently from the panoramic microscopic image, and a binary image of the combustion metal particles and a binary image of surface oxides of the combustion metal particles are obtained; modeling combustion metal particles by using a long ellipsoid geometric model to obtain a mapping relation between the three-dimensional surface of the combustion metal particles and the two-dimensional information of the collected panoramic microscopic image; and calculating the three-dimensional surface areas of the combustion metal particles and the surface oxides thereof according to the binary image of the combustion metal particles, the binary image of the surface oxides thereof and the mapping relation. According to the measurement method, the three-dimensional surface reconstruction of the combustion metal particles can be realized, the areas of the combustion metal particles and oxides thereof can be quantitatively obtained, and the dynamic process of oxide fragments on the surfaces of the combustion metal particles can be visualized.

The invention relates to a method for determining whether an oilseed, a nut, in particular a hazelnut (2), or a seed is rancid, involving irradiating a sample, detecting an absorption or reflection spectrum, determining the content of at least one fatty acid decomposition product in the sample, and ascertaining a degree of rancidity using the content of the at least one fatty acid decomposition product in the sample. The method additionally involves irradiating an oilseed, a nut, in particular a hazelnut (2), or a seed, projecting reflected and / or transmitted light onto a detection photosensor (4′), detecting absorption or reflection spectra in a wavelength range of 300-2500 nm using the detection photosensor (4′), said detection photosensor having a plurality of pixels, and assigning a degree of rancidity to each pixel of the detection photosensor (4′).