54 results about "Thermography technique" patented technology

The invention discloses a bird prevention and control expelling method and system based on a thermal imaging technology, and the method comprises the steps: obtaining the environment thermal imaging data of a target region through a thermal imaging device, recognizing a bird heat source target through an image processing algorithm, extracting the behavior characteristics and motion tracks of the bird heat source target, and building a dynamic behavior model; risk assessment and priority ranking are carried out in combination with a risk region division rule; by planning the optimal bird repelling path and controlling the bird repelling device to implement the repelling operation, the bird repelling scheme is dynamically adjusted, and the bird repelling efficiency is improved. According to the invention, comprehensive analysis of bird gathering positions and activity areas can be realized, risk levels of bird activities can be accurately evaluated, priority ranking is carried out, and a scientific basis is provided for bird repelling operation; meanwhile, by planning the optimal bird repelling path and dynamically adjusting the bird repelling scheme, the bird repelling efficiency is effectively improved, resource waste is reduced, the accuracy and the intelligent level of bird prevention, control and repelling are improved, and the method is suitable for airports, power stations and other scenes needing efficient bird prevention and control.

The invention relates to the technical field of infrared thermal imaging, and particularly discloses a fire personnel intelligent search and rescue method and device based on infrared thermal imaging, and the method comprises the steps: synchronously collecting fire scene data through an infrared thermal imager and a laser radar, so as to obtain infrared thermal imaging data and fire scene three-dimensional point cloud data; further introducing a data processing technology based on deep learning to carry out feature extraction on the infrared thermal imaging data and the three-dimensional point cloud data of the fire scene so as to capture infrared thermal radiation distribution features and three-dimensional space structure features of the fire scene, and then carrying out fine-grained feature alignment joint perception on the infrared thermal radiation distribution features and the three-dimensional space structure features; therefore, the deep correlation characteristics of the fire scene heat distribution and the three-dimensional space can be captured, and the intelligent detection of the human body target can be realized on the basis. In this way, the problem that heat radiation information and space structure information are separated in a traditional method can be effectively solved, the information utilization rate is increased, and the accuracy and efficiency of human body target recognition are enhanced.

The invention discloses a concrete dam crack inspection method based on an unmanned aerial vehicle carrying an infrared combined optical camera. Core equipment comprises a multi-rotor unmanned aerial vehicle carrying a global positioning system, an infrared thermal imager and a high-resolution optical camera. The invention aims to improve the concrete dam crack detection efficiency and accuracy. According to the method, an infrared camera and an optical camera are carried by an unmanned aerial vehicle to obtain dam surface temperature distribution and visible light images. By means of the infrared thermal imaging technology, a thermal abnormal area caused by the crack can be recognized, and the optical camera provides fine crack form and position information. In the inspection process, an infrared thermal imaging instrument is used for detecting the whole dam and positioning an abnormal area, and then a method of combining the infrared thermal imaging instrument and an optical camera is used for respectively detecting internal and external damages of the abnormal area. The method overcomes the problems of high labor cost, low detection efficiency and difficulty in complete coverage of a traditional inspection method, is especially suitable for rapid and accurate detection of large-area concrete dam surface cracks, and provides effective technical support for safety maintenance of dams.

The invention relates to the technical field of industrial control, in particular to an SMT production process quality control method and system. The SMT production process quality control system comprises a soldering paste distribution condition real-time acquisition module, an electromagnetic coil array parameter adjustment module and a reinforcement learning module. The electromagnetic coil array is arranged around the reflow soldering furnace, the infrared thermal imaging technology is combined, the thermal image of the PCB is obtained in real time and sent into the soldering paste segmentation model to be processed, the flowing state of the soldering paste is accurately represented, the system can dynamically adjust the control parameters of the electromagnetic coil array based on the soldering paste distribution thermodynamic diagram, and the stability of the reflow soldering system is improved. Comprise current intensity, current frequency, waveform and the like, so that the electromagnetic field is accurately adjusted, the flowability of the solder paste is optimized, excessive or too little solder paste accumulation is avoided, and the risks of solder bridge and insufficient solder are reduced.

The invention relates to the field of human body state monitoring, in particular to a human body state monitoring method and system based on a thermal imaging technology, and the method comprises the steps: obtaining an infrared thermal image and a visible light image of a human body; registering the infrared thermal image to a coordinate system of the visible light image and extracting a temperature field; performing posture evaluation on the visible light image to extract skeleton key points, and dividing the human body into a plurality of eudipleural regions of interest based on the skeleton key points; calculating a corrected thermal symmetry difference value between the eudipleural regions of interest to obtain a thermal symmetry difference chart; carrying out region growth based on the point with the maximum pixel value in the thermal symmetry difference image to obtain an abnormal hot spot region; calculating the product of the inflammation activeness index and the boundary confidence of the abnormal hot spot region to obtain a state risk value; and generating an alarm signal in response to that the state risk value is greater than a set threshold. The problem of high false alarm rate of human body state monitoring in a dynamic complex environment is solved.

This invention provides an infrared thermal imaging method, relating to the field of infrared thermal imaging technology. The method utilizes a germanium infrared lens in an infrared thermal imaging system, whose surface is sequentially composed of subwavelength micro / nano structures and an anti-reflection film structure from the inside out. The infrared thermal imaging method includes: focusing target infrared radiation through the germanium infrared lens onto an infrared detection array; the infrared detection array converting the target infrared radiation into an electrical signal matrix; performing noise reduction and gain correction on the electrical signal matrix to obtain a preprocessed electrical signal matrix; performing temperature compensation on the preprocessed electrical signal matrix based on a temperature compensation formula and a transmittance temperature model to obtain a corrected signal matrix; and sequentially performing non-uniformity correction, image enhancement, and pseudo-color mapping on the corrected signal matrix before outputting and displaying the result. Using the method of this invention, higher transmittance, lower reflection loss, and more stable thermal imaging can be achieved.

Systems and methods for inspecting components with thermography are provided. The systems and methods facilitate the selection of thermography parameters for a particular inspection situation. A method includes executing a machine learning algorithm to determine one or more thermography parameters based on one or more characteristics of the component, and performing a thermographic inspection according to the one or more thermography parameters. The thermographic inspection includes exciting the component to induce a thermal response in a region of the component containing a defect, and acquiring a thermographic image of the region of the component containing the defect.

The invention relates to the technical field of emergency drill evaluation, in particular to a chemical storage tank area fire emergency drill intelligent evaluation system and evaluation method.The multi-source monitoring terminal is arranged in a preset key area of a chemical storage tank area and used for collecting multi-dimensional sensing data of a drill site; the data transmission network is connected with the multi-source monitoring terminal and is used for transmitting the multi-dimensional sensing data in real time; and the background processing center is connected with the data transmission network and is used for receiving and processing the multi-dimensional sensing data. The effectiveness of fire extinguishing operation is quantitatively evaluated through an intelligent algorithm, accurate data support is provided, and the evaluation accuracy is improved; a detailed evaluation report is automatically generated, the evaluation period is greatly shortened, and the timeliness is improved; advantages and deficiencies of drilling are clearly pointed out, targeted improvement suggestions are provided, and emergency plan optimization is assisted; the thermal imaging technology penetrates through the smoke to monitor the temperature, and the dangerous area identification and fire behavior judgment capability is improved.

The present application relates to the field of human state monitoring, and particularly relates to a human state monitoring method and system based on thermal imaging technology, the method comprising: acquiring an infrared thermal image and a visible light image of a human body; registering the infrared thermal image to the coordinate system of the visible light image and extracting a temperature field; performing posture evaluation on the visible light image to extract skeleton key points, and dividing the human body into multiple left-right symmetrical regions of interest based on the skeleton key points; calculating correction thermal symmetry difference values between the left-right symmetrical regions of interest to obtain a thermal symmetry difference map; performing region growing based on the point with the maximum pixel value in the thermal symmetry difference map to obtain an abnormal thermal spot region; calculating the product of an inflammation activity index and a boundary confidence of the abnormal thermal spot region to obtain a state risk value; and in response to the state risk value being greater than a set threshold, generating an alarm signal. The present application solves the problem of high false alarm rate of human state monitoring in a dynamic and complex environment.

The utility model relates to the technical field of infrared thermal imaging, and discloses an infrared thermal imaging detection system which comprises an equipment main body, a wiping assembly, a mounting plate, a second motor, a connecting disc and cleaning cotton. At the moment, an electric push rod drives a mounting plate to move, a first motor is started and drives the mounting plate to rotate, so that cleaning cotton is adjusted to the same level as the detection head, then the electric push rod is started to contract, and after one side of the cleaning cotton is attached to the lens of the detection head, a second motor is started and drives the cleaning cotton to rotate, so that water mist on the lens is wiped; the situation that the detection result is inaccurate due to the fact that the detection sight line is affected by water mist is prevented, and a sponge ring can prevent the inner wall of the detection head from being abraded when the connecting disc rotates.

The utility model discloses a basement raft plate water seepage detection device, and relates to the basement raft plate detection equipment technical field, the basement raft plate water seepage detection device comprises a mobile platform, a fixed frame and an extension rod, the mobile platform is provided with the fixed frame, the front part of the fixed frame is provided with the extension rod, the free end of the extension rod is provided with a locking assembly, and the locking assembly is connected with the fixed frame. According to the utility model, through mutual cooperation of the mobile platform, the infrared thermal imaging camera and the display, a worker can conveniently push the mobile platform by hand to detect the water seepage condition of the basement raft by using an infrared thermal imaging technology, and compared with the existing water seepage detection mode of manually holding detection equipment by hand, the water seepage detection efficiency is greatly improved. According to the utility model, the detection is more convenient and labor-saving, and the paint can, the paint conveying pipe, the booster pump, the nozzle, the electromagnetic valve and the switch are matched with one another, so that paint spraying marking of a basement raft water seepage area can be realized, subsequent searching by maintenance personnel is facilitated, and the maintenance efficiency is improved.

The invention is suitable for the field of safety production, and provides a monitoring system based on a thermal imaging technology and a part service life prediction method. In the embodiment of the invention, for a production environment needing to be monitored, a thermal imaging information set containing coordinate information and coordinate temperature of equipment in the production environment is firstly collected, and then an infrared thermal image picture and an infrared thermal image video are determined through the thermal imaging information set; and carrying out temperature monitoring and error calibration on the areas corresponding to the devices in the pictures and the videos so as to determine the temperature states of the devices in the production environment in real time, and carrying out comparison and early warning on the temperature states and the early warning rules corresponding to the devices. According to the application, the monitoring temperature of the equipment can be corrected through the expert database module, and the corresponding early warning rule is set according to the difference of different equipment, so that the probability of false alarm and missing alarm is reduced.

The invention relates to the technical field of roof engineering construction, in particular to a roof waterproof and thermal insulation integrated construction method, which comprises the following steps: firstly, carrying out standardized treatment on a base layer, including cleaning, repairing and interface treatment; then accurately proportioning cement, sand, expanded perlite and the SF waterproof agent by adopting an automatic metering system, and preparing waterproof thermal insulation mortar through a double-helix stirrer; a paver carrying a laser range finder is used for achieving precise layered paving, and the compactness is ensured in cooperation with intelligent compaction equipment; super absorbent resin is innovatively doped in the construction of the protective layer, and intelligent monitoring of the maintenance process is realized through an RFID humidity sensor; and finally, carrying out quality acceptance by combining a water storage test with an infrared thermal imaging technology. Through the technical means of automatic metering and proportioning, mechanical layered paving and compacting, super absorbent resin internal curing, intelligent humidity monitoring and the like, waterproof and heat-preservation integrated construction is achieved, and the problems that a traditional method is complex in procedure, interlaminar water mixing, difficult to cure and the like are effectively solved.

The present application relates to the technical field of industrial control, and particularly relates to a SMT production process quality control method and system.A SMT production process quality control system comprises a solder paste distribution situation real-time acquisition module, an electromagnetic coil array parameter adjustment module and a reinforcement learning module.The present application acquires a thermal image of a PCB board in real time by arranging an electromagnetic coil array around a reflow soldering furnace and combining an infrared thermal imaging technology, and sends the thermal image into a solder paste segmentation model for processing, so as to accurately represent the flow state of the solder paste.Based on the solder paste distribution thermal map, the system can dynamically adjust the control parameters of the electromagnetic coil array, including current intensity, current frequency and waveform, so as to accurately adjust the electromagnetic field, optimize the flowability of the solder paste, avoid excessive or insufficient accumulation of the solder paste, and reduce the risk of tin bridges and virtual welding.

The invention discloses a fire extinguishing technical method for spontaneous combustion of a coal seam. The method comprises the following steps: adding 0.5-1% of a foaming agent into slurry through a quantitative foaming agent filling pump; the slurry and the foaming agent are uniformly mixed in the pipeline through the mixer and then enter the foaming device; nitrogen is injected into a foaming device and interacts with slurry containing a foaming agent to generate three-phase foam, then the three-phase foam is injected into a fire extinguishing drill hole through a flow divider, firstly, the fire exposure area range is preliminarily detected through the unmanned aerial vehicle (UAV) infrared thermal imaging technology, and then the detection range is further expanded through a self-spraying and directional drilling method; and a more accurate result can be obtained. In addition, an applicable fire prevention and extinguishing system is constructed, and three-phase foam is injected for heat absorption and cooling. And further using composite colloid to block an air leakage channel, and backfilling loess to prevent after-combustion. The comprehensive detection and control technology can be used for eliminating the spontaneous combustion area of the coal seam and protecting the environment.

The utility model relates to the technical field of infrared thermal imaging, and specifically discloses a purging type infrared thermal imager protection cabin. Comprising a protective cover which comprises an outer cabin, an inner cabin and a purging air channel formed between the outer cabin and the inner cabin; one end of the protective cover is also provided with an air hole communicated with the outside, and the air hole is communicated with the purging air passage; the thermal imager is arranged in the protective cover, and a lens of the thermal imager is arranged at one end, provided with the air hole, of the protective cover; the gas supply assembly is communicated with the purging gas channel and the inner cabin through a connector and conveys gas into the purging gas channel for circulation; wherein the air is sprayed out through the air holes, so that active blowing of the lens area is realized. Through the design of the air holes and the purging grooves, it is ensured that airflow can ensure the purging uniformity, and the phenomenon of local overheating is effectively avoided, so that a more stable and safer working environment is provided for the thermal imager.

The utility model relates to the technical field of infrared thermal imaging, in particular to a wind generating set state monitoring system based on infrared thermal imaging. The system comprises an infrared thermal imager, a thermocouple sensing unit and a data acquisition card, the infrared thermal imager and the thermocouple sensing unit are installed in a cabin of the wind power generation equipment and used for acquiring temperature data in the cabin, and the data acquisition card is installed in a control cabinet of a wind power generator and used for acquiring temperature data in the cabin. The data acquisition card is respectively connected with the infrared thermal imaging unit and the thermocouple unit through data lines and is used for fusing thermal imaging and thermocouple data, and the data acquisition card uploads the fused data to an upper computer. According to the utility model, data of the infrared thermal imager and the thermocouple sensor are fused through the data acquisition card, so that the monitoring accuracy of the system is improved.

The utility model discloses an adjustable distance measuring device and infrared thermal imaging equipment, and relates to the technical field of infrared thermal imaging, a switching assembly is used for providing support, and a distance measuring module is rotatably installed on the switching assembly; the first adjusting assembly comprises an elastic piece and a first ejector rod which are oppositely arranged, the elastic piece makes contact with the distance measuring module to provide elastic force, and the first ejector rod is movably installed on the switching assembly and used for applying jacking force to the distance measuring module so that the distance measuring module can extrude the elastic piece, rotating adjustment of the distance measuring module can be achieved, and the detection angle of the distance measuring module can be changed. When the laser distance measuring device is installed on the infrared imaging module, the distance measuring module can coincide with the center of the infrared imaging module, and the laser distance measuring indication position and the infrared thermal imaging center can be adjusted.

The invention relates to an infrared-based dielectric barrier discharge state real-time detection method and system, belongs to the field of plasma equipment state monitoring, and is characterized in that temperature data is filtered, calibrated and reconstructed through a microcontroller in combination with an infrared thermal imaging technology; resampling the original low-resolution temperature field by adopting a bilinear interpolation method; synchronously acquiring a temperature matrix and electrical parameters, and constructing a discharge state classification data set; expanding sample diversity through a data enhancement technology; a convolutional neural network is established to perform feature extraction and classification on temperature field image data, network hyper-parameters are automatically adjusted in combination with a Bayesian optimization algorithm, and a real-time visual diagnostic tool is introduced to monitor model output. According to the method, infrared thermal imaging and deep learning technologies are combined, the problems that a traditional monitoring method is lagged in response and complex in operation are solved, and the method is high in real-time performance, easy and convenient to operate, high in accuracy and suitable for monitoring the discharge state of scenes such as plasma surface modification equipment of flexible electronic devices.

The invention relates to the technical field of medical instrument manufacturing and quality control, and discloses a method and system for detecting the state of a jaw of an ultrasonic surgical instrument. The method comprises the steps that an ultrasonic host is controlled to apply preset excitation to a to-be-detected ultrasonic surgical instrument with a jaw in a closed state, so that the jaw generates thermal response; synchronously acquiring an infrared thermal image sequence of the jaw through non-contact detection equipment; processing the acquired infrared thermal image sequence to obtain a temperature distribution feature vector representing jaw force distribution; and calculating an error value between the temperature distribution feature vector and a preset qualified standard model, and judging whether the jaw force distribution of the ultrasonic surgical instrument to be detected is qualified or not according to the error value. According to the invention, a non-contact thermal imaging technology is utilized, rapid, high-precision and lossless quantitative evaluation of the jaw force distribution state is realized, and key technical support is provided for comprehensive monitoring and process optimization of product quality.

This application provides a method and apparatus for detecting bedding coverage, relating to the field of thermal imaging technology, which can improve the accuracy of bedding coverage detection. The method includes: acquiring a thermal imaging image of an infrared detection area; performing human posture recognition on the thermal imaging image to obtain the human posture recognition result of the target human body; if the human posture recognition result of the target human body is a lying position, determining the human body region corresponding to the target human body in the thermal imaging image; and using the ratio between the number of pixels in the human body region with a temperature value less than a temperature threshold and the total number of pixels in the human body region as the bedding coverage rate of the target human body.

The utility model relates to a germanium blank lens defect detection device based on infrared thermal imaging, which comprises a constant-temperature heat source, an infrared thermal imaging structure, a clamp unit and a display unit, and is characterized in that the infrared thermal imaging structure comprises an infrared thermal imaging camera and a focusing lens and is used for providing a real-time lens thermogram of a germanium blank lens; each clamp unit comprises a fixing seat, a clamping rod and a clamping block, a mounting hole is formed in the top of the opening end of the fixing seat, the clamping rod penetrates through the mounting hole and is in threaded connection with the fixing seat, the clamping block is arranged at the bottom end of the clamping rod, and the clamping block and the bottom of the opening end of the fixing seat form a limiting structure for fixing a germanium blank lens; and the display unit is used for displaying the real-time lens thermogram. According to the device, fine defects in the germanium blank lens are amplified and displayed through optical and electronic technologies by means of a thermal imaging technology, so that the purposes of identifying the defective blank lens and avoiding delivery to customers are achieved, the physical flaw detection effect of the blank lens is improved, the quality level of outgoing products is improved, and later-stage quality disputes are avoided.

The invention belongs to the technical field of infrared thermal imaging, and particularly relates to a refrigeration type medium-wave infrared thermal imaging system, which analyzes the real-time working load of an infrared detector through a detection load sensing unit, outputs a load analysis result, and calculates the real-time working load of the infrared detector through a refrigeration parameter calculation unit based on the load analysis result. The optimal refrigeration temperature and refrigeration power are calculated, refrigeration parameters are output, finally, refrigeration work is started based on the refrigeration parameters through an accurate refrigeration unit of the Stirling refrigerator, meanwhile, the actual temperature of the detector is monitored in real time, and temperature data are output; on the basis, the real-time working load and the environment temperature of the detector are dynamically matched through the refrigeration temperature control module, precise refrigeration according to needs is achieved, the problem of high power consumption caused by the fixed refrigeration temperature is avoided, and it can be ensured that the detector is in the optimal low-temperature environment under different loads so that the detection performance can be guaranteed.

The invention provides an online three-dimensional multispectral monitoring system, which comprises a multispectral imaging unit, an infrared detection unit, a holder control system, a laser radar unit and a micrometeorological monitoring unit, and is characterized in that the multispectral imaging unit adopts a high-efficiency low-light imaging technology and carries an optimization system capable of adjusting image quality; the infrared detection unit adopts a high-precision thermal imaging technology, and the infrared detection unit is further provided with a data acquisition and transmission module, a data preprocessing module, an abnormity monitoring module and an alarm module; according to the invention, the data is comprehensively processed through a data fusion algorithm. According to the integrated and self-adaptive system design, the precision, the efficiency and the predictive capability are superior to those of many existing technologies with single functions or low intellectualization; and the image quality is remarkably improved by adopting a self-adaptive image enhancement and denoising algorithm. The self-adaptive capability keeps high-quality imaging under different illumination conditions, and the system can continuously optimize self performance according to environment change and user feedback.

To utilize machine learning techniques to improve object classification in thermal imaging systems.SOLUTION: In an example embodiment, a method is provided. The method includes receiving, at a computing device, one or more infrared images of an environment. The method additionally includes, applying, using the computing device, a trained machine learning system to the one or more infrared images to determine an identified object type in the environment, where the determination is performed by at least: determining one or more prior thermal maps associated with the environment; using the one or more prior thermal maps and the one or more infrared images, determining a current thermal map associated with the environment; and determining the identified object type based on the current thermal map. The method also includes providing the identified object type using the computing device.SELECTED DRAWING: Figure 7

The utility model relates to the technical field of infrared thermal imaging, in particular to an infrared thermal imaging sensing system. Comprising an infrared camera, a fixing support, a computer processing system, a display module and a control terminal. The infrared camera is installed on the fixing support, and the computer processing system is electrically connected with the driving motor on the fixing support and used for controlling the driving motor to drive the infrared camera to rotate. The infrared camera is electrically connected with the computer processing system, the computer processing system is electrically connected with the display module, and the computer processing system is electrically connected with the control terminal. The infrared thermal imaging sensing system provided by the utility model can perform prevention and alarm processing on fire disasters, and meanwhile, the infrared camera can perform multi-directional angle monitoring.

The application discloses a kind of detection system and comprehensive evaluation method of marine anti-corrosion duration of protective material, the system includes detection component, for simulating salt fog and mechanical vibration transport environment under marine state;Test tooling is used to simulate the structure of easy rusting part in actual marine process;Environment control component is used to simulate the alternating wet and hot environment and carry out real-time monitoring;Imaging component is used to detect the temperature difference of the surface of the test tooling material, identify the rusting area, and record the earliest rusting time of the test tooling.The test tooling designed by the application covers machine-added surface, bolt, threaded hole through hole, threaded hole blind hole and other easy rusting parts, uses infrared thermal imaging technology to periodically scan the test tooling, identifies the damage point and local early rusting of protective material, comprehensively evaluates the anti-corrosion ability of protection scheme, realizes efficient, quantitative and dynamic anti-corrosion ability evaluation, and provides support for rapid screening and process optimization of protective material and protection scheme in marine scenario.

The invention provides an earth and rockfill dam termite distribution dynamic management method based on reinforcement learning and a neural network, and the method comprises the steps: dividing an initial region of an earth and rockfill dam into a plurality of regions according to the termite distribution, and obtaining the environment parameters of each region; re-dividing each region by using a weighted Euclidean distance; in each divided area, termite types are identified through a multi-layer sensing neural network, and the number of termites is detected by using an infrared or thermal imaging technology; a deep Q network reinforcement learning model is utilized to construct a dynamic relationship between environment characteristics and the number and types of termites, and termite distribution strategy optimization is carried out; and according to an optimization result of the deep Q network reinforcement learning model, controlling the number and variety distribution of the termites by regulating and controlling environmental parameters. According to the method, the problems of high subjectivity of manual observation, difficulty in dynamic data acquisition and analysis and the like in a traditional method can be solved, and more accurate and real-time termite distribution dynamic management of the earth and rockfill dam is realized.

The invention relates to a domestic circuit design method of an infrared sweep imaging system, and belongs to the technical field of infrared thermal imaging. According to the invention, the 100% localized infrared sweep imaging system is realized, each sub-module can perform high-speed communication, each sub-module can quickly respond to an overall instruction for an object flying at a high speed, and the matching precision error of each sub-module is reduced with lower communication delay. The sampling rate and the output video frame frequency of the infrared detector are improved through circuit design.