43 results about "Thermography technique" patented technology

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 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 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 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.

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 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 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.

The present invention provides a gas leak detection method, device, and equipment based on thermal imaging technology. These methods identify a target area in a thermal image of chemical equipment and determine the target area. The method also acquires the target area in real time, generates data points, and fits the data points to a fitted curve. Reference points are determined, and anomaly curves are determined based on the monotonicity of the fitted curve between two adjacent reference points. The method also calculates the average rate of change, generates a set of average rates of change, and determines the maximum rate of change. An evaluation coefficient is determined based on the fitted curve, the anomaly curve, and the maximum rate of change, and the presence of a gas leak is determined. This method improves the accuracy of gas leak detection and avoids the loss of work efficiency caused by misjudgments. Through real-time monitoring and highly automated analysis, the method effectively identifies abnormal gas leak conditions, reduces false alarms, and improves the safety monitoring efficiency of chemical equipment. Thermal imaging technology enables continuous, contactless monitoring of equipment, ensuring safe and real-time operation.

The invention is applicable to the technical field of medical diagnosis, and provides a method for diagnosing dyslipidemia by using an infrared thermal imaging technology, which comprises the following steps of: a, preparing a subject before infrared thermal imaging scanning; comprising but not limited to environment regulation and control, information collection of a subject and signing of an informed agreement book; b, scanning the whole body of the subject by using infrared thermal imaging equipment, and recording an infrared thermal image of the subject; and c, analyzing the collected infrared thermogram, and determining the temperature distribution characteristics of the specific area of the abdomen of the subject. According to the method for diagnosing the dyslipidemia by using the infrared thermal imaging technology, the energy metabolism condition of the body can be reflected through the infrared thermal imaging technology, a new means is provided for early detection of the dyslipidemia, the dyslipidemia can be found and intervened in time, and the risk of chronic diseases such as cardiovascular diseases is reduced.

The application relates to the field of infrared thermal imaging technology and discloses a device calibration method, a device calibration system and a device. The device calibration method is executed by an upper computer, and the upper computer is in communication with at least one target device to be calibrated through a lower computer. The device calibration method comprises the following steps: acquiring the device identification of the at least one target device; querying the calibration parameters of the target devices from a calibration parameter file based on the device identification of the target devices, wherein the calibration parameter file comprises a corresponding relationship between the device identification and the calibration parameters; and sending the calibration parameters of the target devices to the lower computer, so that the lower computer calibrates the target devices based on the received calibration parameters of the target devices. The method can reduce the labor cost of device calibration and improve the calibration efficiency.

The invention relates to the technical field of prebaked anode carbon block detection, in particular to a nondestructive detection system for prebaked anode defects, which comprises a resistivity detection module, an infrared thermal imaging detection module and a detection data analysis module. The resistivity detection module obtains the resistivity of the prebaked anode by using a probe loading assembly; the infrared thermal imaging detection module obtains a top surface infrared image when the resistivity is abnormal; the detection data analysis module is used for preliminarily judging whether the prebaked anode meets a preset standard or not according to the resistivity, verifying a detection result in combination with a resistivity reduction amplitude value, and accurately positioning a reason that the prebaked anode does not meet the standard according to a gathering temperature area proportion so as to feed back and adjust production process parameters of the next prebaked anode in real time according to the detection result; according to the method, electrical property detection and thermal imaging technologies are combined, intelligent data analysis and process adjustment are integrated, and the problem that the defects of the prebaked anode cannot be detected in a full-amount, non-destructive and high-precision mode in a traditional method is solved.

The invention discloses a ceramic microcrack repairing method, and belongs to the technical field of ceramic material repairing. The method comprises a detection process, a multi-mode imager combined infrared thermal imaging technology, industrial CT and ultrasonic phased array detection ceramic piece, microcrack feature extraction, a laser processing process, a micro-hole processing process by adopting a Q-switched fiber laser, a coating process, and a micro-injection technology filling brazing filler metal into the micro-hole. And a pulse pressure gauge is adopted to compact the brazing filler metal. According to the method, the three-dimensional space characteristics of the microcracks can be accurately extracted by arranging the multi-mode imager and combining the infrared thermal imaging technology, the industrial CT technology, the ultrasonic phased array technology and the focused ion beam imaging technology, the depth extraction error is small, the problems that in the prior art, microcrack parameter extraction is incomplete, and the error is large are solved, and based on the accurate data, the accuracy of microcrack parameter extraction is improved. Laser processing parameters can be dynamically matched with the sizes of the micro-cracks, and stress concentration can be effectively avoided through the processed arc-shaped bottom blunt holes.

The application particularly relates to a pressurized gasification furnace material lock feeding method and device based on infrared thermal imaging monitoring, which comprises the following steps: determining a target layer positioning block by identifying the current load demand of the gasification furnace, taking the target layer positioning block as a control reference, feeding the material lock at a target feeding speed corresponding to the target layer positioning block after opening an upper valve of the material lock, then monitoring the number of remaining positioning sub-blocks of the target layer positioning block by using an infrared thermal imaging acquisition device, and closing the upper valve of the material lock if the number of the remaining positioning sub-blocks is less than or equal to a preset number of positioning sub-blocks. Thus, the problems of inaccurate measurement and easy equipment damage of the gasification furnace material lock feeding method in a high-temperature and high-pressure environment are solved, the target layer positioning block in the material lock is determined according to the load demand, the infrared thermal imaging technology is used to monitor the material position in the material lock based on the target layer positioning block, the reliability and precision of the material level monitoring are improved, and the stability of the operation load of the gasification furnace is ensured.

The purpose of this invention is to provide a real-time human fall detection method in low-light conditions based on infrared and thermal imaging. This method combines infrared compensation and thermal imaging technologies for fall detection in low-light environments, achieving better results than previous fall detection methods. It overcomes the problem of blurred human body contours and blurring with the environment in dark scenes when captured by infrared night vision. Thermal imaging technology utilizes the principle that all objects in nature radiate heat; when used for nighttime human detection, the captured human body edge data has clear contours and can be well distinguished from the environment. Compared with ordinary fall detection methods, using thermal imaging technology for nighttime fall detection reduces missed and false detections, greatly increasing the protection of personal safety.