64 results about "Thermography technique" patented technology

The invention discloses a boiler inner wall crack detection method based on a laser ultrasonic wave and infrared thermal imaging technology. The method comprises the following steps: checking detection equipment; cleaning the inner wall of the boiler; performing preliminary visual inspection on the inner wall of the boiler; laser ultrasonic detection equipment is arranged on the inner wall of the boiler; systematically performing laser ultrasonic scanning on the inner wall of the boiler; an infrared thermal imaging camera is used for scanning the inner wall of the boiler; performing infrared thermal imaging scanning; comparing and analyzing the data; and compiling a detailed detection report. According to the invention, the laser ultrasonic detection technology can detect deep micro cracks on the inner wall of the boiler with high precision, even the micro cracks can be found before the micro cracks become significant problems, and the infrared thermal imaging technology can provide visual information about crack positions and sizes by capturing thermogram differences of crack areas, so that the accuracy of the thermal imaging is improved. This technique is particularly suited for the discovery of surface cracks and for the assessment of the scope of crack impact.

The invention discloses an industrial equipment operation monitoring and early warning system based on an infrared temperature distribution technology, and the system comprises a temperature distribution image correction module which calculates a compensation coefficient of heat reflection on the surface of industrial equipment, and obtains a temperature distribution image after the reflection effect is corrected; the image displacement correction module is used for correcting temperature distribution image offset caused by displacement of the displacement component of the industrial equipment; the temperature abnormal area identification module is used for identifying a temperature abnormal area; the temperature anomaly region maintenance strategy making module is used for making a maintenance strategy of the temperature anomaly region; the temperature imbalance area identification module is used for identifying a temperature imbalance area in the non-temperature abnormal area; the temperature imbalance area maintenance module is used for formulating a preventive maintenance strategy of a temperature imbalance area; and the maintenance strategy execution and optimization module is used for continuously optimizing the maintenance strategy according to the maintenance task execution result. According to the method, the efficiency and effect of industrial equipment maintenance work are improved by combining an infrared thermal imaging technology and a multi-data correction and analysis method.

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 embodiment of the invention provides a region-of-interest highlighting method and device, equipment and a storage medium, relates to the technical field of infrared thermal imaging, and is used for highlighting a region-of-interest in a to-be-highlighted infrared image so that a user can check the region-of-interest. The highlighting method comprises the following steps: in response to a region determination operation based on an image display interface, taking a determined interface region as a region of interest; the image display interface is used for displaying an infrared image acquired by the image acquisition equipment; and in response to a highlighting operation for the region of interest, enhancing the contrast of the local infrared image corresponding to the region of interest.

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 embodiment of the invention provides an infrared equipment calibration method and device, equipment and a storage medium, and relates to the technical field of infrared thermal imaging. Comprising the following steps: acquiring an actually measured gray value obtained by measuring a plurality of standard blackbody radiation sources with different preset temperature values by an infrared device to be calibrated; determining a standard gray value corresponding to each preset temperature value through a standard curve corresponding to the to-be-calibrated infrared equipment; the standard curve is used for representing a corresponding relation between the temperature value and a standard gray value; based on a standard gray value change rate corresponding to each preset temperature value in the standard curve, determining a weight corresponding to each preset temperature value; the change rate of the standard gray value is negatively correlated with the weight; determining a gain parameter and a bias parameter based on the actually measured gray value, the standard gray value and the weight corresponding to each preset temperature value; and performing temperature measurement calibration on the to-be-calibrated infrared equipment based on the gain parameter and the bias parameter.

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 discloses an underground garage concrete leakage detection and repair method and method.The method comprises the steps that an infrared thermal imager is used for detecting weak points of leakage water at the junction of a side wall and a bottom plate of an underground garage, and an acoustic emission instrument is used for detecting and repairing the water leakage problem of the underground garage; the method further comprises the step of installing the waterproof layer anti-floating replacement device. An infrared thermal imaging technology and image processing equipment are used for displaying leakage weak points at the junction of the side wall and the bottom plate of the garage, positioning grouting is conducted, a water stop needle is buried in a low-temperature dark-color area and repaired by injecting anti-dispersion slurry, and a nitrogen injection machine is adopted for injection in the section with the unobvious temperature difference to expand the temperature difference, so that the effect is obvious; for the water leakage problem of the underground garage bottom plate, an electric drill is used for drilling holes, water flow is guided to a drainage well for pressure relief, an acoustic emission instrument is used for being matched with other parts to arrange measuring points, and seepage acoustic emission signal data are analyzed to determine the seepage range and path. And the waterproof layer anti-floating replacement device is matched with the anti-floating mortar fixed point, so that the leakage damage part of the bottom plate is repaired.

The present invention relates to the field of thermal imaging technology, and specifically to a temperature compensation method for infrared imaging of a resistor array, comprising: gridding the resistor array, obtaining local windows in which resistors of different sizes light up in each grid, and the input voltage of all resistors in the resistor array is the same; obtaining noise degree performance according to the radiation intensity distribution of each resistor in each grid under the input voltage in the local window corresponding to each size and the radiation area distribution; obtaining the preferred degree of each local window by comprehensively considering the radiation conditions of all resistors in the local windows corresponding to all input voltages and each size; screening out the best local window by using the preferred degree, and based on the best local window, using the sparse grid method to perform uniformity correction on the resistors in the resistor array, and completing temperature compensation for infrared imaging of the resistor array. The present invention not only improves the effect of non-uniformity correction, but also reduces the accumulation of errors.

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 utility model belongs to the technical field of infrared thermal imaging, in particular to a household monitor based on the infrared thermal imaging technology, which comprises a machine body and a fixing device, and a probe is fixedly connected to the side wall of the machine body; a fixing device is arranged on the surface of the machine body and comprises a storage box, the storage box sleeves the surface of the machine body, a plurality of positioning pins are in threaded connection with the inner wall of the storage box, a plurality of sliding blocks are in sliding connection with the inner wall of the storage box, clamping blocks are fixedly connected with the side walls of the sliding blocks, the clamping blocks sleeve the surface of the machine body, and a supporting device is arranged on the side wall of the storage box; the supporting device comprises a sliding rod, the side wall of the sliding rod is fixedly connected with the side wall of the storage box, a supporting frame is slidably connected to the surface of the sliding rod, a threaded rod is rotatably connected to the surface of the supporting frame, and a moving block is fixedly connected to the position, close to the threaded rod, of the side wall of the sliding rod. By arranging a storage box, a positioning pin, a sliding block and a clamping block, the position of the machine body can be fixed, and meanwhile the machine body can be conveniently disassembled and assembled through a spring.

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 invention discloses a pipe jacking machine geological prediction method based on a thermal imaging technology, and belongs to the technical field of geological recognition, and the method specifically comprises the steps: obtaining an infrared camera image of a pipe jacking machine in a propelling process in real time, carrying out the preprocessing of the infrared camera image, obtaining a propelling region camera image and a to-be-propelled region camera image, and converting the images into corresponding temperature data; calculating a surface temperature difference value of any propelling area after propelling and before propelling, marking the surface temperature difference value as a characteristic value, taking the temperature before propelling as a horizontal axis, taking the temperature after propelling as a longitudinal axis and taking the characteristic value as a vertical axis, constructing a three-dimensional coordinate, generating characteristic points corresponding to all propelling areas, and clustering the characteristic points to generate a plurality of category clusters; performing geologic feature analysis on the propulsion region corresponding to each category cluster to obtain a geologic feature model corresponding to each category cluster; according to the invention, real-time monitoring and prediction of the stratum in front of the pipe jacking machine are realized, so that the safety and efficiency of pipe jacking construction are improved, and the geological risk and the engineering cost are reduced.

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 invention relates to the technical field of power data processing, and provides a multi-scene intelligent thermal imaging abnormal state comprehensive management system which integrates artificial intelligence and thermal imaging technologies and is used for monitoring temperature distribution of power equipment in real time and early warning abnormal states. The system comprises a data acquisition module, an equipment monitoring module, a fault classification module, a fault equipment determination module and a fault inspection unit. The device state is predicted by training the random forest model, the infrared detector is used for capturing the infrared radiation on the surface of the device, the fault device is rapidly positioned and detected, the system can also identify the fault sensor and continuously monitor the fault device, the stable operation of the power system is improved, and the power supply reliability is improved. The method effectively solves the problems that the number of devices in the new energy power plant is large, and the fault is difficult to locate, and improves the safety of the devices.

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.