204results about "Pyrometry for hot spots detection" patented technology

To eliminate the drawbacks of false alarm problems due to mimic flame features of sunlight or moonlight reflecting on wave or mimic flame features of fabrics, animals or stage flames and alarm failures of methanol or ethanol burning flames or flames under a high illumination background condition, a multi-wavelength video image fire detecting system is disclosed consisting of a multi-wavelength video image fire detector, which is comprised of a color and near IR dual-mode camera, a color and B / W dual-mode camera, an image capture module, a processor and controller, an I / O module, a housing and a visible light and near IR view window, an alarm and indicate equipment, a setting and debugging system, a communication equipment, an area alarm and monitor system, and a pan & title and control system.

A system includes a radiation sensor configured to direct a field of view toward at least one conduit along a fluid flow path into a heat exchanger. The radiation sensor is configured to output a signal indicative of a temperature of the at least one conduit. The system also includes a controller communicatively coupled to the radiation sensor. The controller is configured to determine the temperature based on the signal, to compare the temperature to a threshold range, and to adjust a fluid flow through the fluid flow path or the at least one conduit if the temperature deviates from the threshold range.

A combination fire detection and fire suppression system may include a fire detection system configured to detect an undesirably high temperature associated with an area. The fire detection system may include a temperature sensor including a temperature sensor array and a fire alerting system associated with the temperature sensor. The fire alerting system may be configured to receive information from the temperature sensor and generate a warning signal based on an undesirably high temperature associated with the area. The fire detection system may include a fire control panel configured to receive the warning signal. The system may also include a fire suppression system including a fire suppressant delivery system configured to provide at least one fire suppressant agent to the area associated with the undesirably high temperature.

The invention discloses a forest fire fire point detection method based on an MODIS. Firstly, time sequence data is established for multiple days of MOD02 and MOD03 data from the MODIS, time sequence daily value data of multiple days of NDVI and brightness temperature is obtained, break points in the time sequence daily value data of the NDVI and brightness temperature are recognized through a time sequence break point recognition algorithm, and the recognized break points serve as potential fire points; relative fire points are distinguished from the potential fire points through a space context analysis method; real fire points are extracted from autonomous modular sensor data, the relative fire points are compared with the real fire points, and the correctness and leakage rate of the relative fire points are verified. The potential fire points are distinguished through the method that the time sequence data break points are detected through the BFAST algorithm without determining the potential fire points through fixed threshold values, therefore the algorithm has higher adaptability and flexibility for fire point distinguishing, the defects that the regional difference cannot be met by distinguishing the potential fire points through the fixed threshold values is overcome, and the fire point correctly discriminating rate is increased.

A non-destructive approach for the 3D localization of buried hot spots in electronic device architectures by use of Lock-in Thermography (LIT). The 3D analysis is based on the principles of thermal wave propagation through different material layers and the resulting phase shift / thermal time delay. With more complex multi level stacked die architectures it is necessary to acquire multiple LIT results at different excitation frequencies for precise hot spot depth localization. Additionally, the use of multiple time-resolved thermal waveforms, measured in a minimized field of view on top of the hot spot location, can be used to speed up the data acquisition. The shape of the resulting waveforms can be analyzed to further increase the detection accuracy and confidence level.

Methods and systems for monitoring an industrial process are disclosed. Some aspects of the system arrange multiple imaging sensors to image machinery associated with an industrial process. Regions of interest within images acquired by the multiple imaging sensors may be monitored for abnormal thermal conditions, and alerts generated as needed. Alerts may also be generated if temperatures within a region of interest exceed thresholds associated with that region of interest. Each region of interest may be independently monitored and have individualized alerting thresholds. In some aspects, images from the multiple imaging sensors may be stitched together, with the regions of interest based on the stitched image. In other aspects, regions of interest within images from separate imaging sensors may be linked together so as to share at least common alerting thresholds.

To eliminate the drawbacks of false alarm problems due to mimic flame features of sunlight or moonlight reflecting on wave or mimic flame features of fabrics, animals or stage flames and alarm failures of methanol or ethanol burning flames or flames under a high illumination background condition, a multi-wavelength video image fire detecting system is disclosed consisting of a multi-wavelength video image fire detector, which is comprised of a color and near IR dual-mode camera, a color and B / W dual-mode camera, an image capture module, a processor and controller, an I / O module, a housing and a visible light and near IR view window, an alarm and indicate equipment, a setting and debugging system, a communication equipment, an area alarm and monitor system, and a pan & title and control system.

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.

The invention discloses a high-temperature solidifying furnace. The high-temperature solidifying furnace comprises a heating cavity, a heater and a temperature monitoring system, wherein the heater comprises a plurality of heating modules which can be controlled independently; and the temperature monitoring system comprises a thermocouple for monitoring the internal ambient temperature information of the heating cavity, an infrared monitoring device for monitoring temperature information on the surface of each layer of substrate inside the heating cavity and generating a temperature signal, a signal processing module for performing signal connection of the thermocouple and the infrared monitoring device and generating a corresponding execution command when a substrate with temperature abnormality is judged according to the temperature information fed back by the thermocouple and the temperature signal fed back by the infrared monitoring device, and an executing module in signal connection with the signal processing module and regulating the heating power of a heating module corresponding to the substrate with the temperature abnormality according to the execution command generated by the signal processing module. The high-temperature solidifying furnace monitors the ambient temperature of the heating cavity and the temperature on the surface of the substrate through the thermocouple and the infrared monitoring device, so that the solidifying temperature monitoring precision is improved.

The invention discloses a positioning method and system of a building inner air pipe leakage point, relating to the building engineering detection technical field, and can accurately position a building inner air pipe leakage point. The positioning system comprises: a heat exchanger connected to an air pipe to be detected in a building through a connecting pipe; and a thermal infrared imager arranged on one side of the air pipe, and capable of moving along the extension direction of the air pipe, wherein the heat exchanger heats the air pipe to be detected, and then the thermal infrared imager moves along the extension direction of the air pipe to obtain the infrared thermal image of the air pipe. The positioning method comprises: heating the air pipe to be detected in a building; obtaining the infrared thermal image of the air pipe; and analyzing the obtained infrared thermal image to determine an air pipe leakage point. The positioning method and the positioning system are suitable for building air pipe leakage point positioning.

The invention discloses an autonomous line patrol method for an electric system based on an unmanned aerial vehicle, and relates to the technical field of electric system patrol. The method takes theunmanned aerial vehicle as a carrying main body, and comprises a line patrol method for the electric system, under high light, by the unmanned aerial vehicle, and a line patrol method for the electricsystem, under dim light or no light, by the unmanned aerial vehicle. The autonomous line patrol method for the electric system based on the unmanned aerial vehicle is characterized in that in a patrol process of the unmanned aerial vehicle, imaging equipment generates an image, the image is remotely transmitted to a control room through an image processor and a communication base station, a supply worker searches a fault point, and the characteristics of high working efficiency, high accuracy rate and great working range are achieved; besides, for the condition with dim light and no light, thermal imaging equipment is carried on the unmanned aerial vehicle, and a temperature of a fault point is relatively prominent to achieve the purpose of continuously performing line patrol work on theelectric system in case of relatively dim light and even no light. The way improves work efficiency of processing an emergency event by a night repair team.

The invention relates to a GIS thermal fault diagnosis method based on fusion of local and global feature information, which comprises steps: 1) GIS local images are acquired, wherein the GIS local images comprise a local infrared image and a local visible light image; 2) based on the local infrared image, a GIS global shell infrared image is built; and 3) fault is distinguished on the GIS globalshell infrared image and a fault point is positioned. In comparison with the prior art, the GIS present situation can be timely known, and a GIS thermal fault point is recognized and positioned on thepremise of ensuring accuracy of the infrared information.

A real-time wide-area synchronous satellite monitoring method for a mountain fire of the power grid comprises the following steps that a remote sensing signal receiver receives different wavelengths of remote sensing signals of a synchronous satellite which covers a specific area in real time; for each received pixel point, whether the pixel point belongs to a cloud layer is determined by carrying out cloud layer detection via a reflectivity and / or a brightness temperature of the pixel point; if the pixel point does not belong to a cloud layer, whether the pixel point is an absolute mountain fire hot spot is determined according to brightness temperature data of a specific channel; if the pixel point is not the absolute mountain fire hot spot, whether the pixel point is a potential mountain fire hot spot is determined according to brightness temperature data of pixel points in the surrounding; whether the determined absolute / potential mountain fire hot spot represents a solar flare is determined; if the determined absolute / potential mountain fire hot spot does not represent the solar flare, a digital map information map is used to obtain fire points by screening; and the fire points are determined by utilizing position information of power transmission and transformation equipment, and alarming is raised according to conditions. The method can be used to realize real-time and wide-area monitoring for the mountain fire of the power grid, and practical monitoring requirements for the mountain fire of the power grid are met.

A self-propelled cleaner (1), i.e., a self-propelled electronic device, includes a temperature measurement unit (63) that measures an ambient temperature during self-propelled operation, a temperature decision unit (521) that decides whether the measured ambient temperature is equal to or more than a set value, and an abnormal temperature notification unit (522) that externally reports abnormal temperature information indicating that the measured ambient temperature is equal to or more than the set value if the measured ambient temperature is decided to be equal to or more than the set value.

Techniques for filtering light include, along a central optical axis, an entrance window; a first polarizer, a narrowband polarization-changing material, a second polarizer, and an exit window. The optical paths through the filter are substantively unscattered and pass through unstressed components between the polarizers. The polarization-changing material changes polarization for a narrow wavelength band on the order of about 0.01×10−9 meters and does not condense on optical windows and polarizers during the operational lifetime. An aspect ratio, defined by a distance from the entrance window to the exit window divided by an optical aperture for the entrance window, is less than 4 / 1. This filter thus transmits light substantively unattenuated in the narrow wavelength band up to a maximum acceptance angle greater than 5 degrees. Combined with optics and imaging detectors, it is suitable for wide area surveillance, including daylight surveillance for combustion like forest fire and missile plume.

The invention provides a method and system for testing an OLED display device. The method comprises the step of exerting a test signal on the OLED display device to be tested, the step of obtaining an actual measurement distribution image of the testing area of the OLED display device on which the test signal is exerted, the step of comparing the actual measurement distribution image with a corresponding calibration distribution image to obtain a comparison result, and the step of determining whether a backboard abnormal point exists in the testing area or not according to the comparison result, wherein when the comparison result shows that the backboard abnormal point exists in the testing area, the position of the backboard abnormal point on the OLED display device is determined. According to the method and system for testing the OLED display device, testing efficiency and testing visuality of the OLED display device can be improved, and testing cost is reduced.

A non-destructive approach for the 3D localization of buried hot spots in electronic device architectures by use of Lock-in Thermography (LIT). The 3D analysis is based on the principles of thermal wave propagation through different material layers and the resulting phase shift / thermal time delay. With more complex multi level stacked die architectures it is necessary to acquire multiple LIT results at different excitation frequencies for precise hot spot depth localization. Additionally, the use of multiple time-resolved thermal waveforms, measured in a minimized field of view on top of the hot spot location, can be used to speed up the data acquisition. The shape of the resulting waveforms can be analyzed to further increase the detection accuracy and confidence level.

An inexpensive thermopile temperature detector is particularly adapted to monitoring of electrical equipment, such as a power bus bar, within an enclosed area such as a cabinet. The detector may have a plastic housing, a thermopile sensor and a plastic Fresnel lens. Each sensor also includes a calibrated element such that, but for calibration, the same sensor may be used for various applications for different target sizes and distance or, more generally, with respect to effective target percentage of field of view.

A conveyor belt temperature anomaly detection system, comprising: an infrared line scanner having one or more infrared detectors and arranged to scan the surface of a conveyor belt in a direction perpendicular to the direction of travel of the conveyor belt and to generate thermal image data in dependence on infrared radiation detected by the infrared detector; and a processing unit configured to process the thermal image data to identify temperature anomalies in the material travelling on the surface of the conveyor belt.

The invention discloses a remote-sensing surface temperature downscaling algorithm. The algorithm comprises the following steps: step one, implementing a nuclear driving algorithm to obtain a high-resolution surface temperature; step two, on the basis of an image fusion algorithm, acquiring a medium-resolution surface temperature; and step three, carrying out weighted combination on the high-resolution surface temperature obtained at the step one and the medium-resolution surface temperature obtained at the step two to obtain a high-resolution surface temperature. According to the remote-sensing surface temperature downscaling algorithm based on nuclear driving and image fusion, the surface temperature of a time sequence is processed by downscaling to obtain a high resolution. Because of the nuclear drive method, the spatial resolution of the auxiliary data is high; the image fusion method has the higher temporal prediction ability; and with utilization of advantages of the two kinds of methods, temperature downscaling is carried out by using the multi-source remote sensing data. Compared with the separate nuclear drive method, the remote-sensing surface temperature downscaling algorithm is suitable for the heterogeneous regions better; and compared with the separate fusion method, the remote-sensing surface temperature downscaling algorithm can obtain a multi-phase surface temperature with higher resolution.

A UAV patrol system and a UAV patrol method are provided. A UAV receives a patrol instruction from a base station to perform a patrol task to the target area. The patrol task includes: flying along a cruise path in a first height, and acquiring a first thermal sensing image in a first FOV; in response to determining that the first thermal sensing image has a abnormal point with a temperature higher than a temperature threshold and located on one of multiple object targets, suspending flying along the cruise path and changing to fly in the second height to capture an abnormal image of the abnormal point in a second FOV, and storing and marking the abnormal image. The UAV patrol system and method may effectively use the UAV to determine the abnormal target object in the target area, and capture the abnormal image of the target object.

The invention discloses an SF6 gas leakage automatic detection method based on an infrared video. Video acquisition is carried on the location where SF6 leakage occurs, the alignment of different frame images is completed based on a feature point registration method, the sampled frame image is subjected to the image enhancement by an image enhancement method, the first frame image is taken as the comparison template, the image comparison of the different frame images is carried out by a multi-feature fusion comparison method, the difference between the adjacent frame images is found, the area having changed content between the frame images is recorded, and whether there is SF6 gas leakage in the monitoring point is determined according to the detection of the image change area. The method provided replaces the on-site detection method of the artificial carrying equipment, thereby reducing the working burden of electric inspection personnel and improving the safety.

The invention provides a microcurrent leakage image detection method and system, and the system comprises a power supply, a phase locking device, an image collection module, and an image processing module. The phase locking device is used for controlling the power supply to transmit a periodic square voltage with a preset first frequency f to a detected PCB, wherein an invalid device on the PCB generates periodic heat with the same frequency as the first frequency, and the a periodic square voltage with a preset second frequency F is transmitted to the image processing module synchronously (F>>2f). The image collection module is used for carrying out the infrared image collection of the detected PCB according to the periodic square voltage with the second frequency. The image processing module is used for processing the collected infrared image, so as to obtain a positioning image of the invalid device on the detected PCB. The system can solve a problem of detecting a microampere level electric leakage fault on the PCB, and achieves the fault locating and detecting of a micro-short-circuit device.

The present invention pertains to a non-contact temperature monitoring device, wherein: temperature data and image data are simultaneously outputted to a monitoring unit by simultaneously photographing a temperature detection target and detecting the temperature of the temperature detection target in a non-contact manner, in which the temperature state of the temperature detection target and on-site conditions can be monitored in real time; the state of the temperature detection target is photographed using an image capturing unit only when the temperature state of the temperature detection target is abnormal, thereby simplifying an operation in a normal state and more accurately detecting on-site conditions using image information in emergency situations. Accordingly, quicker and more accurate responses are possible, thereby preventing fire accidents in industrial settings.

The invention discloses an intelligent vehicle-mounted dual-light inspection system expert diagnosing and abnormity processing method which relates to the unmanned aerial vehicle technology field and comprises: obtaining video / sensing data, analyzing the data and determining the fault; saving the fault information and generating a report. According to the invention, it is possible to realize the intelligent switching to recorded videos and to work continuously without stop. With vehicle-mounted front end storage and the ground terminal storage, afterwards analysis and evidence become more convenient. When emergency fault or abnormity occurs, alarming information is transmitted to a monitoring headquarter where risk grade is intelligently evaluated and properly handled. The more inspections, the more complete the database becomes. The identification rate of the invention is also on the rise, so is the efficiency. Through the use of a multi-time phase inspection strategy, the inspection steps could be refined and the accuracy rate for diagnosing is also increased. For the multi-source data acquisition, the expert diagnosing system serves as the base for intelligent inspections.

The invention discloses an optical fiber monitoring and checking system, which belongs to the technical field of laser application. The system comprises an image acquisition module which is used for collecting image information in a monitoring range, an image processing module which is used for converting the collected image information into temperature distribution information, a temperature judgment module which is used for judging whether a temperature abnormity point which exceeds a set value is in temperature distribution information, a signal control module which judges an alarm signal which transmits the temperature abnormity point to control the switch state of a light source, and an alarm module which gives an alarm according to abnormal temperature information fed back by the temperature judgment module or the signal control module. The image acquisition module, the image processing module, the temperature judgment module, the signal control module and the alarm module are connected in turn. The temperature judgment module is connected with the alarm module. The optical fiber monitoring and checking system provided by the invention improves the safety of a running optical fiber, and is of great significance to ensure the quality and running stability of a laser display product.

The present invention discloses a rotating scanning type wear-free indoor positioning device and a method. The positioning device comprises a motor, a motor driving circuit bottom board, a fixed frame, a stator, a rotor, a circuit board and a thermopile sensing probe. The motor driving circuit bottom board is electrically connected to the circuit board through a line, the stator, and the rotor. The circuit board is electrically connected to the thermopile sensing probe. The motor drives the circuit board through the rotor, and the circuit board drives the thermopile sensing probe to rotate. According to the rotating scanning type wear-free indoor positioning device and the method, the problems of low resolution and narrow sensing range of a linear array sensor and the high price of a high-resulotion area array sensor are solved, the contradiction problem of a resolution and a range of sensing is solved, a method of rotating scanning is employed, the effect of the high-resulotion area array sensor is realized by using the linear array sensor with low cost is obtained, and the sensing range of a sensor is expanded.