1412results 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.

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.

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.

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.

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.

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′).

A method includes determining whether a variation in probe radiation intensity meets a stability criterion; directing the probe radiation through a probe, when the probe is disposed at a first position, defining a first path length L1 of the probe radiation through the fluid sample; measuring a transmitted intensity I1 of the probe radiation after passing through the fluid sample when the probe is disposed at the first position; directing the probe radiation through the probe when the probe is disposed at a second position, defining a second path length L2 of the probe radiation through the fluid sample; measuring a transmitted intensity I2 of the probe radiation after passing through the fluid sample when the probe is disposed at the second position; and determining a concentration C of a material in the fluid sample based upon L1, I1, L2, and I2, when the stability criterion is met.

A determination device includes an acquisition unit configured to acquire image information of a target image in which excrement is captured and a determination unit configured to determine a characteristic of the excrement in the target image, select a part of the excrement specified according to a time series of excretion, and confirm a representing characteristic for representing the excrement.

Multi-parameter water analysis system with a holder removably engageable in an enclosable water chamber having an inlet and outlet in line with plumbing of an aquatic environment and allowing water from the aquatic environment to enter the enclosable water chamber for a chemical indicator of the holder to indicate a physical change via an optical reader, the holder configured to move with respect to the optical reader at least in part due to a motive force provided by the flow of water from the inlet in the enclosable water chamber.

A point of use analyte detection and quantification system for chemical applications is provided. Related methods are also provided.

Systems and methods for optically sensing medicament concentrations within medicament delivery devices are disclosed. A medicament delivery device can include a fluid path comprising a reservoir in fluid communication with an outlet port, in which the device is actuatable to drive fluid through the fluid path, from the reservoir and out of the outlet port. A sensor assembly of the delivery device is configured to determine concentration of an analyte in the fluid. The sensor assembly includes an optical emitter configured to emit photons towards a fluid sample within the fluid path, an optical detector configured to receive photons passed through and / or reflected from the fluid sample and provide a detector signal, and one or more signal processing components configured to receive the detector signal and, based at least in part on the detector signal, provide an indication of the analyte concentration in the fluid sample.

The optical sorting machine comprises: a light source; a color sensor; a determination unit for foreign matter and / or defective products; a color deviation amount calculation unit, which calculates, for a color image obtained by the color sensor, the amount of color deviation caused by the separation of at least two element groups among the R element group, the G element group and the B element group in the transfer direction of the sorting object; a speed calculation unit, which calculates the transfer speed of the sorting object based on the separation distance of at least two element groups in the transfer direction, the color deviation amount, and the scanning time which is the time required for one scan of the color sensor; and a sorting device, which performs a track changing action at a time point determined based on the transfer speed calculated by the speed calculation unit, and the track changing action is used to change the track of a specific sorting object determined based on the determination result of the determination unit.

Methods, systems, and apparatus, including computer programs encoded on a storage device, for determining characteristics of particles are disclosed. A system includes a conveyor belt, wherein a first section of the conveyor belt comprises one or more mechanisms arranged to create environmental conditions favorable to sensor reading. The system includes a sensor rig located proximate to the first section of the conveyor belt comprising a plurality of different types of sensors. The system includes a controller configured to: obtain measurement data from the plurality of different types of sensors; apply the measurement data to a machine learning model configured to determine surface chemical characteristics of particles given measurement data; and output the surface chemical characteristics of particles from the machine learning model to one or more components along the conveyor belt.

To provide a foreign body removal method from processed food capable of detecting a foreign object mixed in processed food to support the removal of foreign objects.SOLUTION: The foreign body removal method from processed food is a foreign body removal method from processed food performed by a system that includes a camera for picking out images of transported processed food and a controller capable of communication with the camera. The method includes the steps of: acquiring optical image data picked up by the camera including multiple pieces of wavelength information; detecting an object included in the processed food based on the optical image data; and when determining the object is the object to be removed from the processed food, transmitting the location information of the object to be removed, transport speed information for the processed food, and a control command that requests the object to be removed in association with each other to a removal device that executes the removal of the object to be removed included in the processed food.SELECTED DRAWING: Figure 6