125results about "Pyrometry for hot spots detection" patented technology

The present invention relates to the detection of the error in photovoltaic panels on a panel cell basis by thermal inspection from unmanned aerial vehicle images with artificial intelligence technology, performing temperature measurement, model conversion of images from two dimensions to three dimensions, real-time solar simulation and field navigation analysis.

Multi-pixel sensors such as camera sensors may be configured to capture two-dimensional and / or three-dimensional images of the interior of a process chamber or other fabrication tool. The sensors may be configured to capture pixelated electromagnetic radiation intensity information from within the interior of such process chamber before, during, and / or after processing of a substrate in the chamber. Such sensors may also be utilized for control, predictive, and / or diagnostic applications.

Disclosed are a method and a device for identifying full-section excavation parameters of large-section tunnel with broken surrounding rock, which is capable of solving the problem of inaccurate arrangement of blasting hole points in tunnel excavation engineering, including following steps: establishing a three-dimensional finite element model based on a blasting section design of a tunnel; performing a simulation with the three-dimensional finite element model based on blasting design parameters to obtain blasting quality parameters; selecting a group closest to a preset quality parameter from multiple groups of the blasting design parameters as target blasting design parameters, wherein the preset quality parameter is an acceptance grade standard of the tunnel; obtaining first thermal imaging information of a first hot spot of a surface to be blasted; calibrating actual hole spacing parameters based on the first thermal imaging information and the target blasting design parameters.

The invention provides a fire point identification method and system based on an infrared imaging moonlet, and relates to the technical field of image processing. The method comprises the following steps: acquiring an infrared image shot by a moonlet; dividing the infrared image into a plurality of to-be-identified areas in a window sliding mode; calculating a temperature intensity value of each to-be-identified area; judging whether the temperature intensity value of each to-be-identified area is greater than a preset temperature intensity value or not; if yes, taking the to-be-identified area as a fire point candidate area; otherwise, removing the to-be-identified area; fire point features and dynamic features of the fire point candidate areas are extracted; and outputting a fire point recognition result through a graph neural network model based on multi-view image features according to the fire point features and the dynamic features. According to the method, the sensitivity of fire point detection to time sequence change is improved by introducing the dynamic features, and the detection accuracy of the fire points is remarkably improved by combining the strong feature expression capability of the graph neural network.

An optical device may include an infrared detection unit that detects heat generated at a weldment during welding, a visible light detection unit that detects plasma generated at the weldment and a spectroscopic unit that detects wavelength-specific luminosity at the weldment, wherein the optical device determines an occurrence of welding defects at the weldment based on the detected heat, the detected plasma, and / or the detected wavelength-specific luminosity of the weldment.

Provided in the present application are a full-section excavation parameter identification method and apparatus for a large-section tunnel having fractured surrounding rock, which can solve the problem of inaccurate blast hole position arrangement in tunneling projects. The method comprises: on the basis of a blasting section design of a tunnel, establishing a three-dimensional finite element model; on the basis of blasting design parameters and the three-dimensional finite element model, performing simulation so as to obtain blasting quality parameters; selecting from a plurality of groups of blasting design parameters one group of blasting design parameters which are closest to preset quality parameters and using same as target blasting design parameters, the preset quality parameters being acceptance grade standards of the tunnel; acquiring first thermal imaging information of first hotspots of a section to be blasted, the first hotspots being same heat source generation units arranged, before blast hole arrangement, on blast hole positions that are actually measured and selected on said section on the basis of the target blasting design parameters; and on the basis of the first thermal imaging information and the target blasting design parameters, calibrating actual hole spacing parameters.

A device temperature measurement method and a related device thereof are provided, to accurately determine a temperature abnormal area in a target device, thereby effectively improving accuracy of a temperature measurement result of the target device. The device temperature measurement method includes: A robot controls, under an instruction of a worker, a camera to photograph a target area including a target device and another device to obtain a visible light image and a thermal infrared image of the target area, and sends the visible light image and the thermal infrared image to a cloud server. Then, the cloud server may process the visible light image and the thermal infrared image of the target area to obtain a visible light image and a thermal infrared image of the target device. Next, the cloud server may continue to process the visible light image and the thermal infrared image of the target device to obtain a thermal infrared image of a temperature abnormal area in the target device. Finally, the cloud server may determine a temperature measurement result of the temperature abnormal area in the target device based on the thermal infrared image of the temperature abnormal area, and report the temperature measurement result to the worker.

The invention discloses a mechanical arm tail end dual-light fusion detection data management system and method, and belongs to the technical field of industrial automatic detection. A visible light camera and an infrared camera are integrated at the tail end of a mechanical arm, discrete monitoring points are set according to the motion path of the mechanical arm, and the mechanical arm is based on pose data output by a motion controller; when moving to a preset monitoring point, synchronously triggering dual-light image acquisition, and carrying out space-time alignment on the acquired data; performing semantic segmentation processing on the visible light image, screening out a cable image from the visible light image to construct a cable identification model, obtaining boundary coordinates of a cable, performing feature matching with an infrared image, mapping a cable region to the infrared image, extracting a corresponding temperature data matrix, and calculating a maximum temperature difference value of the surface of the cable; judging an abnormal region in combination with a preset temperature gradient threshold value; and according to the anomaly detection result, the mechanical arm is triggered to dynamically adjust the detection path, the abnormal point is focused for reinspection, and anomaly early warning prompt is carried out according to the reinspection result.

A method for automatically detecting, by means of computerized processing, information about temperature evolution and / or about location / distribution of hot spots and / or bands and / or zones on the surface of a brake disc under dynamic operating conditions. The method includes the steps of acquiring a plurality of digital images and / or a digital video, obtaining a representation of each of the digital images and / or digital video frames in the form of matrix data, on which to perform a processing by means of algorithms comprising image analysis or “computer vision” algorithms, to obtain and provide information about temperature evolution and / or about location / distribution of hot spots and / or bands and / or zones on the zone of interest of the surface of a brake disc.

A system for monitoring a petrochemical installation is disclosed. The system can include an optical imaging system comprising an array of optical detectors. The system can comprise processing electronics configured to process image data detected by the optical imaging system. The processing electronics can be configured to detect a target species based at least in part on the processed image data. The processing electronics can further be configured to, based on a detected amount of the target species, transmit an alarm notification to an external computing device over a communications network indicating that the target species has been detected at the petrochemical installation.

A system for monitoring a switchgear includes: an infrared camera for acquiring at least one infrared image of the switchgear; a processing unit for determining a pixel in the at least one infrared image associated with a hottest temperature, determining e pixels in the at least one infrared image associated with a temperature that is within a threshold temperature of the hottest temperature, and determining that a hot spot exists in the switchgear as a determination, the determination being a utilization of the determined pixels in the at least one infrared image; and an output unit for outputting an indication of a fault in the switchgear based on the determined hot spot.

A system for monitoring brick in a rotary kiln includes an infrared sensor and a computing system configured to: obtain a digital model of a brick layer of a rotary kiln having a plurality of bricks, wherein the digital model of the brick layer is based on a measured brick thickness correlated with a measured infrared temperature for each brick; obtain infrared data of the rotary kiln with the at least one infrared imaging sensor; determine the measured infrared temperature for each brick; determine a brick thickness of a first brick in the brick layer of the rotary kiln based on the measured infrared temperature assigned to the first brick with the digital model of the brick layer; and provide the brick thickness of the first brick in a brick thickness report.

An embodiment of the present invention discloses a method, apparatus, electronic device, and storage medium for fire point detection. According to the minimum object distance and the maximum object distance in the collected image frame, the embodiment of the present invention determines the target position of the focusing lens group, so that the collected image based on the target position of the focusing lens group can achieve the maximum detection clarity. In the detection of the suspected fire point area, the focusing lens group moves from the nearest position corresponding to the minimum object distance to the farthest position corresponding to the maximum object distance, realizing the movement in the dimension of the lens focusing lens group, and solving the problem that the depth of field of the lens is insufficient in the multi-object distance scene and cannot cover all fire points. The embodiment of the present invention ensures that in the multi-object distance scene, multi-object distance fire points in the scene image can be detected, improving the accuracy of fire point detection.

A system for monitoring a switchgear includes an infrared camera; a processing unit; and an output unit. The camera acquires a first infrared image. The processing unit determines a pixel in the first image with a maximum temperature and uses a second number of pixels to determine a temperature interval. The processing unit sorts the pixels in descending order of temperature to determine a threshold temperature and determines that a hot spot exists in the switchgear using the temperature interval for the first infrared image. The output unit is configured to output an indication of a fault in the switchgear when the determination has been made that a hot spot exists in the switchgear.

The invention discloses a power generation enterprise safety fault detection system based on image recognition, and relates to the technical field of image recognition. Constructing a digital twinborn model of the power generation equipment, obtaining a first detection image and a color temperature detection point thereof, obtaining a radiation parameter of the color temperature detection point in combination with the digital twinborn model, adjusting the first detection image to obtain a second detection image, and performing heat conduction simulation on the power generation equipment to obtain a conduction simulation model, constructing a color temperature conduction area of the color temperature detection point, obtaining a corresponding color temperature conduction parameter, adjusting the second detection image to obtain a third detection image, and judging whether an abnormal color temperature point exists in the third detection image or not and feeding back the abnormal color temperature point; the influence of the detection angle, the surface roughness and the material attribute value on color temperature identification can be corrected, and the safety detection accuracy of the power generation equipment can be improved.

To provide a generation device, a generation system, a processing system, a generation method, a program and a storage medium with which it is possible to generate a temperature profile in a conveyed object.SOLUTION: A generation device according to an embodiment acquires a plurality of images that is generated by a thermal camera and indicates the temperature distribution of a conveyed object. The generation device further sets a plurality of measurement areas to each of the images along the conveyance direction of the conveyed object. The generation device further generates time-series data that indicates a temperature change over time in each of the measurement areas. The generation device further generates, using some of the temperatures extracted from the respective time-series data, a temperature profile that indicates a temperature change over time in the conveyed object.SELECTED DRAWING: Figure 1

The present invention relates to a device for hotspot sensing, which includes an input unit, a processing unit, and an output unit. The input unit is configured to provide an image of an object having a hotspot to the processing unit, wherein image data of the image includes image data of the hotspot, and wherein the image is acquired by a camera. The processing unit is configured to determine the number of pixels in the image corresponding to the size of the hotspot. The processing unit is configured to determine the average temperature of the hotspot, and the determination includes: using pixel values ​​of pixels in the image corresponding to the size of the hotspot, and the number of pixels in the image corresponding to the size of the hotspot. The processing unit is configured to determine the surrounding temperature in the image, and the determination includes: using at least one pixel in the image that is different from the pixel in the image corresponding to the size of the hotspot. The processing unit is configured to determine the corrected temperature of the hotspot, and the determination includes: using the value of the correction factor, the average temperature of the hotspot, and the surrounding temperature.

A power generation enterprise safety fault detection system based on image recognition relates to the technical field of image recognition; a digital twin model of a power generation device is constructed, a first detection image and a color temperature detection point thereof are obtained, radiation parameters of the color temperature detection point are obtained in combination with the digital twin model, the first detection image is adjusted to obtain a second detection image, heat conduction simulation is performed on the power generation device to obtain a conduction simulation model, a color temperature conduction area of ​​the color temperature detection point is constructed and corresponding color temperature conduction parameters are obtained, the second detection image is adjusted to obtain a third detection image, and whether there is an abnormal color temperature point in the third detection image is judged and feedback is given; the influence of detection angle, surface roughness, and material property value on color temperature recognition can be corrected, which is beneficial to improving the accuracy of safety detection of power generation equipment.

The present invention relates to a method for determining an abnormality of a power facility using temperature detection. The method may comprise the steps of: (a) calculating a load factor of a power facility; (b) determining an allowable temperature rise value for each load factor on the basis of the load factor; (c) determining a temperature rise measurement value of the power facility; and (d) determining that the power facility is abnormal if the temperature rise measurement value exceeds the allowable temperature rise value for each load factor.

Methods and apparatus for monitoring a processing apparatus are provided. In some embodiments, techniques may include determining, in real-time, a first temperature associated with a first component of the processing apparatus based on one or more measurements obtained from at least one sensor disposed relative to the first component of the processing apparatus; and based at least on the first temperature associated with the first component reaching a first threshold value, performing at least a first preventive measure that mitigates degradation or failure associated with the processing apparatus.

Provided are an infrared image analysis device, an infrared image analysis method, and a program capable of correctly reducing a temperature gradient. An infrared thermal image analysis device (10) includes a processor. The processor acquires a first infrared thermal image of a structure surface, which is obtained by capturing a structure (36) to be inspected, acquires region information (105) that distinguishes a region of the structure surface corresponding to the first infrared thermal image for at least one region, estimates a temperature gradient in the at least one region based on the region information (105) and a second infrared thermal image, and reduces an influence of the temperature gradient from the first infrared thermal image.

The invention relates to the technical field of electric power testing, and discloses a current stability testing method and system for an energy storage cabinet, and the method comprises the steps: obtaining current distribution data, and generating a current distribution graph through the combination of a preset node distribution graph; performing current density analysis according to the current distribution map to obtain a current concentration area; acquiring temperature data of the current concentration area, and superposing the temperature data with the current distribution map to obtain a comprehensive distribution map; performing temperature anomaly detection according to the comprehensive distribution map to obtain an overheated point coordinate; performing heat conduction simulation according to the coordinates of the overheat point to obtain a temperature prediction result; and performing current distribution optimization according to the comprehensive distribution map and the temperature prediction result to obtain an optimized current scheme. The method has the following effect that the current stability of the energy storage cabinet can be improved.

The present invention relates to a device for detecting by measurement a fire-like event (1), in particular a spark, flame, ember or hot particle event, in a reservoir (2) which is loaded with media or through which media flows, the device having a measuring arrangement (4) which is designed to capture measurement data, the measuring arrangement (4) comprising: a first and a second measuring unit (11, 12) for detecting electromagnetic radiation (5) in a first or second wavelength range emitted by the fire-like event (1); optionally a third measuring unit (13) for detecting environmental light (7); and optionally a sensor unit (14) for measuring media-specific or environment-specific measurement data. In order to reduce the risk of false alarms in such a device and to improve the identification and hazard assessment of fire-like events, according to the invention a testing means (8) is provided, which is designed to test, at a current point in time (tA) on the basis of measurement data captured by the measuring arrangement (4) and / or stored medium-specific or environment-specific characteristic data, whether an adaptation criterium (A) is met, wherein, if the adaptation criterium (A) is met, a measuring sensitivity (M1, M2, M3) or an operating parameter (P1, P2, P3) of at least one of the measuring units (11, 12, 13) can be adapted appropriately to the situation using a control means (10). The invention further relates to a method for detecting by measurement fire-like events (1) and to a system for reliably eliminating a hazardous state caused by a fire-like event as required.

A system for detecting an oil leak can include: at least one infrared imaging sensor; and an imaging analysis computer operably coupled with the at least one infrared imaging sensor. The imaging analysis computer can be configured to control any infrared imaging sensor and acquire infrared images therefrom at any rate and in any duration. The imaging analysis computer can be configured to analyze the infrared images in order to detect an oil leak. The imaging analysis computer can be configured to detect oil on a surface (e.g., solid surface or water surface) where oil should not be (or is not present in a baseline) in order to determine that there is an oil leak in the vicinity.

Correcting thermal image distortion in a thermal camera for the layer-by-layer manufacture of three-dimensional objects. The thermal camera comprises a plurality of sensor pixels arranged along a dire

A non-transitory computer readable media can cause the imaging analysis computer to: obtain a 3D model of a preheater level of the preheater; obtain at least one infrared image of a fixed field of view of the preheater level of the preheater; analyze all pixels in the fixed field of view of the at least one infrared image for each pixel temperature; generate a 2D temperature model of the preheater level; overlaying the 2D temperature model over the 3D model to generate a virtual 3D preheater level temperature model; and provide a visual representation of the virtual 3D preheater level temperature model.

Infrared thermographic system configured to detect the temperature of an object (11), comprising: an infrared thermal imaging sensor (1) arranged to collect infrared radiation and construct at least one image from said radiation, - a drive support unit (2) arranged to rotate the sensor around an axis of rotation, the imaging sensor (1) being attached to the drive support unit (2) such that upon rotation of the drive support unit (2), the imaging sensor captures separate areas surrounding the thermographic system, the imaging sensor (1) being arranged to acquire a plurality of separate images such that the combination of said different images forms a continuous panorama of at least 180 degrees about the axis of rotation of the drive support unit (2), - a processing module (6) arranged and / or programmed to determine temperature data of the object (11) from the images acquired by the imaging sensor (1).

The present invention relates to a system and a method for analyzing ignition-inducing phenomena (1) that occur in a reservoir (2) which is loaded with media or through which media flow. The system and method according to the invention allow the identification and risk evaluation of ignition-inducing phenomena (1) in relation to a certain medium to be improved.

The invention discloses a mainboard image overheat point detection method and system based on thermal imaging, and is applied to the technical field of thermal performance detection of electronic equipment. First thermodynamic characteristic data of each unit is obtained through independent measurement; generating expected thermodynamic characteristic data through the first thermodynamic characteristic data; when the at least two functional units work at the same time, second thermodynamic characteristic data of the circuit board are obtained, and the difference between the second thermodynamic characteristic data and the expected thermodynamic characteristic data is compared, so that whether an overheated point caused by the synergistic effect exists or not is determined. According to the method, the difference between the actual heat distribution and the expected heat distribution based on independent contribution superposition is compared, the overheat points caused by the synergistic effect are recognized, and the method has the advantages that the overheat points caused by the synergistic effect can be accurately recognized, and misjudgment is avoided.

The application discloses a kind of mainboard image overheat point detection method and system based on thermal imaging, applied to the technical field of electronic equipment thermal performance detection, by independent measurement, the first thermodynamic characteristic data of each unit itself is obtained;And by the first thermodynamic characteristic data, generate expected thermodynamic characteristic data;When at least two functional units work simultaneously, the second thermodynamic characteristic data of circuit board is obtained, the difference between the second thermodynamic characteristic data and expected thermodynamic characteristic data is compared, to determine whether there is overheat point caused by synergistic effect.There is the advantage that the method can accurately identify overheat point caused by synergistic effect by comparing the difference between actual heat distribution and expected heat distribution based on independent contribution superposition, to avoid misjudgment.