145 results about "Thermography" patented technology

The invention discloses a fire early warning cooperative system composed of a thermal imaging double-spectrum intelligent ball, an intelligent analysis platform and a fire extinguishing unmanned aerial vehicle, which is applied to the technical field of fire early warning, and comprises the thermal imaging double-spectrum intelligent ball, an integrated visible light sensor and a thermal imaging sensor, and a double-spectrum fusion monitoring technology is adopted to carry out omnibearing and all-weather monitoring; the intelligent analysis platform simulates a fire spreading path based on a fire spreading prediction model of a fluid dynamics and machine learning algorithm, generates a three-dimensional fire danger thermodynamic diagram, and completes a whole-process response from regional early warning to command center decision making to unmanned aerial vehicle cluster task distribution through a multi-level early warning mechanism; the fire extinguishing unmanned aerial vehicle adopts a multi-model collaborative operation system to meet the fire extinguishing requirements of different fire scenes. According to the invention, in a complex and changeable fire scene, the fire hazard can be quickly and accurately identified, and the efficient disposal of fire extinguishing operation is realized.

The invention provides a perfluorohexanone active fire extinguishing system applied to an energy storage power station, and belongs to the technical field of active fire extinguishing systems, the perfluorohexanone active fire extinguishing system comprises a multi-mode composite detection array composed of a thermal imaging sensor, an air pressure sensor, a visible light camera and an ultraviolet light sensor, the multi-mode composite detection array is configured to collect temperature field data, air pressure data, visible light video streams and ultraviolet spectrum data in the energy storage battery cabin by a preset timestamp synchronization mechanism, and output four-mode original data streams to the thermal runaway micro-hotspot recognition engine and the like; early discovery, accurate positioning, fine release, true suppression and self-evolution full-closed-loop active fire extinguishing of the energy storage power station in the high-altitude extreme environment are achieved, and the safety, economical efficiency and long-term maintainability of the energy storage power station are remarkably improved.

The invention relates to the technical field of unmanned aerial vehicle detection and security and protection, and discloses a low-altitude unmanned aerial vehicle dual-mode detection method based on micro Doppler radar and infrared thermal imaging. According to the method, a monitoring area is continuously scanned through a micro-Doppler radar, and when a suspected target with the signal intensity lower than a preset threshold value is recognized, an infrared thermal imaging device is triggered to be started. The infrared device directly adjusts the orientation and focuses to a specific area according to the target orientation and distance information provided by the radar, and obtains a high-resolution thermal imaging sequence. And then the radiation temperature distribution, the temperature gradient and the thermal profile morphological characteristics of the target are analyzed, and final judgment is completed. According to the invention, on-demand starting and rapid and accurate guiding of the infrared sensor are realized, the overall power consumption of the system is reduced, and the cooperative detection response speed and the identification precision of the rapid moving target are improved at the same time.

The invention discloses an intelligent networking driving recording system based on multi-mode perception. The intelligent networking driving recording system comprises a perception layer, a processing layer, an application layer and a block chain evidence storage module. The invention further discloses a data tamper-proofing method of the intelligent networked driving recording system based on multi-mode perception, which comprises the following steps: S1, synchronously acquiring thermal radiation data, radar point cloud data and video image data in a driving environment through the infrared thermal imaging sensor, the 4D millimeter wave radar and the high-definition optical camera; s2, infrared thermal imaging data are optimized, radar point cloud clustering is optimized through a DBSCAN algorithm, and target tracking is achieved based on UKF. The system can cover the whole temperature range of-30 DEG C to 85 DEG C and severe weather such as rain, snow and haze, effectively reduces the false alarm rate of infrared thermal imaging and the missed detection rate of a millimeter wave radar static target, avoids the loss of accident key evidence caused by environmental factors, greatly improves the evidence obtaining reliability at night and in severe weather, and reduces traffic accident disputes.

The invention discloses a processing method and device for heating and rolling a composite board, and relates to the technical field of board processing, and the processing method comprises the following steps: synchronously conveying and feeding a raw material board and a modified POE (Polyolefin Elastomer) rubber material to obtain a to-be-processed composite blank; the to-be-processed composite blank is conveyed to an electric heating assembly, the real-time temperature rise rate of the to-be-processed composite blank is detected and calculated in real time through a temperature sensor, the glue material is fused and preliminarily attached to the raw material plate through temperature adjustment, and a preliminary composite plate is obtained; a thermal imaging detection device is adopted to obtain a distribution area where an adhesive layer of the preliminary composite board is heated unevenly, the heat preservation temperature of a heat preservation hot pressing assembly is adjusted according to the temperature difference condition of the area heated unevenly, and the preliminary composite board is subjected to even hot pressing; and cooling in a finished product cooling area to obtain a finished product composite board. By arranging stepped heating fusion and combining with the thermal imaging detection device, the accuracy of processing temperature control of the composite board is improved, so that the rolling processing quality of the composite board is improved.

The application discloses an intelligent AI detection method based on infrared thermal images and automobile diagnosis, and the technical scheme of the application significantly improves the electric vehicle fire safety detection efficiency through multi-modal data fusion and intelligent analysis, the synchronous collection of double-band infrared and vehicle operation parameters constructs a multi-dimensional data basis, ensures the space-time consistency of thermal radiation characteristics and electrical state, secondly, the dynamic correlation model realizes the accurate triggering of abnormal current to thermal image enhancement, the partition gradient processing combined with dynamic threshold adjustment optimizes the detection sensitivity according to the thermal characteristics of different components, the three-dimensional thermal field reconstruction breaks through the limitation of surface detection, and can identify internal potential hot spots, finally, the closed-loop diagnosis is formed through the intelligent matching of the case library, so that the fault positioning accuracy reaches the component level, and the overall scheme solves the problem that the existing technology only relies on thermal infrared images for electric vehicle fire safety detection, and the contrast of the infrared thermal image is low and the detail resolution is poor.

The embodiment of the utility model provides thermal imaging equipment, and relates to the technical field of optical instruments. The thermal imaging equipment comprises a supporting piece, a visible light imaging assembly, an illumination assembly and a thermal imaging assembly, the visible light imaging assembly, the illumination assembly and the thermal imaging assembly are arranged on the supporting piece, and the illumination assembly and the thermal imaging assembly are located on the two opposite sides of the visible light imaging assembly in the first direction respectively. The first and second electrodes are respectively located at two ends of the support member in a first direction, and the first direction is parallel to the support member. The thermal imaging equipment is used for imaging a target.

A vessel harvesting system removes a target vessel from a patient for use as a bypass. An elongated harvesting instrument inserts into a body along a path of a target vessel which includes at least one side branch. The harvesting instrument includes a cutter for applying thermal energy to sever and cauterize the side branch. An endoscopic camera captures visible-light images from a distal tip of the instrument within a dissected tunnel around the target vessel. A thermal camera captures thermograms coinciding with the visible-light images to characterize a temperature present at respective surfaces in the tunnel. An image processor (e.g., an electronic controller) renders a video stream including the visible-light images and an overlay depicting the temperatures present on at least some of the respective surfaces when applying the thermal energy. A display presenting the video stream and overlay to a user can be an augmented-reality display.

The invention discloses a wide-area illumination control system based on a dynamic delay mechanism, which belongs to the technical field of intelligent illumination and comprises a visible light camera module, a thermal imaging sensor module, an ambient light sensor module, a central processing unit and an Internet of Things lamp group. The visible light camera module is used for monitoring and storing images, the thermal imaging sensor module is used for obtaining thermal imaging data, the environment sensor module is used for collecting environment information, the central processing unit is used for controlling all the modules, and the Internet of Things lamp group is used for illumination. When any sensor detects a moving / heat source target and outputs a high-level alarm signal, the system judges that intrusion is effective, and the central processing unit immediately issues an instruction to the Internet of Things lamp group to break and cover the previous low-illumination maintenance state based on ambient light, so that high-brightness illumination in the whole process is ensured; the non-inductive lighting experience that no vehicle arrives and light arrives at first is provided for scenes such as a long-distance garage lane, and extreme energy saving is achieved.

This invention discloses a method for assessing the fire status of a submersible compartment based on multi-source heterogeneous data fusion, comprising the following steps: 1) acquiring monitoring video streams of the compartment under natural light conditions; 2) dividing a acquired video into K segments, randomly selecting a small segment from each segment; inputting the selected small segment into a spatiotemporal dual-stream convolutional neural network to obtain category scores for different small segments, then fusing them to locate fire and smoke areas in the video stream; 3) acquiring a heat map of the monitored compartment area, and assessing the fire status of the compartment based on the thermal imaging image; 4) combining multiple heterogeneous fire early warning signal data for collaborative analysis and information fusion to provide accurate early warning of fire hazards in the compartment. This invention acquires monitoring video streams of the compartment under natural light conditions and designs a convolutional neural network model based on a temporal attention mechanism to process the video stream and detect and locate fire and smoke areas in the video stream.

1. Name of the product subject to this design: Thermal Imaging Camera and its Main Body. 2. Purpose of the product in this design: The overall purpose of the product in designs 1-3 is to be used as a thermal imaging camera, and the partial purpose of the product in design 1 is to be used as the main body of a thermal imaging camera. 3. The key design features of this product are: the shape shown by the solid line in Design 1, and the shapes in Design 2-3. 4. The image or photograph that best illustrates the key design points: Design 1 3D view. 5. Design 1 is designated as the basic design.

The present invention discloses a display calibration mechanism for enabling a thermal imaging picture to be aligned with a low-light-level picture on a low-light-level night-vision device, including a base and an adjustment assembly, wherein the base is provided with an imaging member and a display, and the thermal imaging picture on the display and the low-light-level picture on the low-light-level night-vision device are simultaneously imagable on the imaging member, The present invention further discloses an externally-hung thermal imaging device. The adjustment of the relative positions of the thermal imaging picture and the low-light-level picture can be realized to ensure the imaging effect while improving the universality of the thermal imaging device itself.

The invention discloses a multifunctional fire fighting helmet with thermal imaging and gas component analysis, which comprises a helmet body integrated with an AR display and a parking device, and a detection unmanned aerial vehicle capable of parking on the helmet body, and the helmet body and the detection unmanned aerial vehicle are both connected with an edge processor to realize point-to-point communication; a gas sensor array and a thermal imaging camera are further carried on the detection unmanned aerial vehicle, and the gas sensor array and the thermal imaging camera transmit detection data to the edge processor in real time for analysis, so that the detection data are converted into an AR superposition layer and finally displayed in the AR display. Therefore, firefighters are assisted to confirm gas components, temperature distribution and positions of trapped persons in a disaster site. The invention aims to provide a multifunctional fire-fighting helmet integrating thermal imaging, gas component analysis and augmented reality (AR) display technologies so as to overcome the defects of existing fire-fighting equipment in the aspects of information acquisition, instruction transmission and equipment collaboration.

The utility model relates to the technical field of power line monitoring systems, and mainly discloses a double-spectrum monitoring and early warning power transmission visualization device, which comprises a power supply module, a camera module, an infrared thermal imaging module, a distance measuring sensor module, a control processing module, a 4G communication module and a monitoring and early warning platform, visible light and infrared images of the power transmission line and the surrounding environment of the power transmission line are comprehensively collected through the camera module and the infrared thermal imaging module, real-time monitoring and accurate early warning of the forest fire are achieved, once the forest fire is detected, the device can immediately trigger an alarm mechanism, information is sent to the monitoring and early warning platform, and the information is pushed to operation and maintenance personnel in time, so that the operation and maintenance efficiency is improved. According to the method, real-time transmission and response of information are ensured, when abnormity is recognized, the distance measuring sensor module can be immediately started for accurate distance measurement, and accurate positioning data and distance measuring data provided by the Beidou are combined, so that accurate position coordinate information of an alarm point can be rapidly calculated and obtained.

The utility model relates to the technical field of fire fighting equipment, and discloses a movable fire extinguishing device which comprises a walking device, the material storage box is arranged on the walking device and used for containing a fire extinguishing agent, and the material storage box is provided with a discharging opening; the spray head is communicated with the discharge hole of the storage box through the fire extinguishing pipeline; and the impact assembly is arranged on the walking device and provided with an impact end, and the spray head is connected to the impact end of the impact assembly. Various fire extinguishing agents are stored in the fire extinguishing device, the impact assembly is arranged on the walking device, and the impact end of the impact assembly is connected with the spray head. The impact driving mechanism can accurately send the spray head to the fire source position detected by the thermal imaging detection device and give impact force, so that the fire extinguishing agent penetrates through flames to reach the root, and by means of cooperation of the impact assembly and the walking device, the fire extinguishing device can flexibly move in a fire scene and rapidly get close to the fire source, and accurate and efficient fire extinguishing is achieved.

This invention discloses a microwave detection method for delamination defects in composite materials coupled with infrared thermography. It utilizes image enhancement algorithms to process initial infrared image sequence data, improving the contrast between defective and non-defective regions to obtain an enhanced and denoised infrared image sequence. From this sequence, a three-dimensional temperature matrix is ​​derived. Based on the new defect depth matrix obtained by the microwave detection method, a geometric model for three-dimensional heat transfer simulation is established. The heat flux density, ambient temperature, and other relevant parameters during infrared detection are used as boundary conditions for the three-dimensional heat transfer simulation, resulting in a simulated surface temperature matrix. The average error between the measured temperature matrix and the simulated temperature matrix within the defect edge range is compared to see if it is less than a given error, thus achieving defect detection. This invention uses infrared thermography temperature data to correct the defect edges detected by microwave detection, enabling the precise detection of the contour and location of internal defects in composite materials, and to some extent solving the problem of inaccurate defect contour identification in microwave detection methods.

The application provides a temperature measurement file generation method, a display method and a device. The temperature measurement file generation method comprises: when a device acquires thermal imaging picture raw data of a target scene in a snapshot mode, generating an offline temperature measurement picture according to the thermal imaging picture raw data and temperature measurement information acquired when the thermal imaging picture raw data is acquired; and when the device acquires thermal imaging video raw data of a target scene in a video recording mode, generating an offline temperature measurement video according to the thermal imaging video raw data and temperature measurement information acquired when the thermal imaging video raw data is acquired. By using the method, when a user traces back to a temperature measurement scene through an offline temperature measurement picture and / or an offline temperature measurement video, the user can restore feature information of the target scene at the time of temperature measurement through temperature measurement information, thereby improving user experience.

The invention relates to the technical field of new energy automobile parking space fire fighting equipment, and discloses a new energy automobile parking space fire self-adaptive fire suppression method, which comprises the following steps: firstly, constructing a system comprising a central control unit, an environment sensing module, a fire type identification module and a directional suppression execution module; collecting visible light images, thermal imaging temperature, smoke concentration and hydrogen-carbon monoxide electrolyte volatile organic compound data through an environment sensing module; analyzing and judging the fire type through a pre-training model; matching a corresponding suppression strategy based on a preset mapping table; the directional execution module is used for positioning and accurately conveying and releasing the fire extinguishing agent; continuously collecting data to evaluate the inhibition effect, and dynamically adjusting the strategy until the fire is extinguished and no after-combustion risk exists. The method improves the fire recognition precision and suppression efficiency, avoids secondary risks, guarantees the safety of parking spaces, and is suitable for new energy vehicle parking space fire protection.

The invention discloses a refrigerant leakage detection method and device for a recovery link of refrigeration equipment. The method comprises the following steps: 1, acquiring a bimodal image; 2, identifying the foggy plume by using the visible light image; and 3, identifying a low-temperature abnormal region by using an infrared thermal image. And 4, mapping the bounding box on the visible light image to the infrared thermal imaging image, and calculating the area intersection-to-union ratio between the mapped bounding box and the low-temperature abnormal region. And 5, carrying out cross validation, and judging whether a refrigerant leakage event occurs or not. Visible light artifacts caused by dust and water vapor and infrared artifacts caused by environmental thermal noise in an industrial recovery environment are effectively inhibited by utilizing complementarity and non-correlation interference characteristics of visible light and infrared thermal imaging bimodes and through a combined strategy based on deep learning target detection, multi-mode cross validation and time sequence event aggregation; compared with a single-mode detection method and a conventional detection method, the method is higher in environmental adaptability and lower in false alarm rate.

The invention discloses an infrared thermal imaging safety interlocking map neural network diagnosis system, relates to the technical field of infrared thermal imaging detection, and is used for solving the problem that a traditional system is difficult to warn early-stage composite faults caused by heat conduction between devices. The data processing module constructs a graph structure fusing the thermodynamic data and the equipment topological relation; the graph neural network diagnosis module performs deep learning based on the graph structure and dynamically identifies a fault mode; and the safety interlocking execution module intelligently triggers graded protection according to the diagnosis result. According to the invention, integrated closed-loop safety control from state perception and intelligent diagnosis to active protection is realized, and the diagnosis precision and response speed of the industrial equipment safety protection system are effectively improved.

The application discloses a copper-embedded multilayer board defect detection method and system based on eddy current thermal imaging and impedance spectrum fusion, relates to the technical field of multilayer board defect detection, and comprises the following steps: applying a high-frequency alternating pulse magnetic field to a copper-embedded multilayer board to be detected; continuously collecting thermal field cooling sequence images after pulse excitation, then extracting thermal diffusion coefficients of copper-embedded regions a and thermal field isotheral line distribution characteristics; using test probes of an automatic machine to contact copper-embedded blocks and corresponding network test points on the copper-embedded multilayer board to be detected, injecting a wideband sweep signal, obtaining impedance spectrum and extracting characteristic parameters; and a , thermal field isotheral line asymmetry, Z LF , R HF and Δ θ are constructed into a multi-dimensional feature vector, input into a fusion judgment model, and a judgment result of the copper-embedded multilayer board defect is output according to a preset multiple threshold. The application realizes non-destructive defect detection, and the micro-crack detection rate is about 97%, and the copper-embedded offset and interlayer short-circuit detection rate is 100%.

The application provides a track rescue vehicle disaster identification method and device. The method comprises the following steps: acquiring real-time sensing data collected by a sensing device arranged on a track rescue vehicle; obtaining a lateral offset distance of a lowest temperature point in a thermal imaging picture relative to a picture center line based on thermal imaging data; storing a longitudinal mileage, a gas type, a gas concentration, weather data and the lateral offset distance as a queue element in a data queue; acquiring a longitudinal concentration gradient of adjacent queue elements in the data queue based on the gas concentration and the longitudinal mileage in the data queue; acquiring a plurality of target queue elements that are most recently acquired in the data queue in the case that a plurality of continuous longitudinal concentration gradients are positive; acquiring a longitudinal mileage of a combustion and explosion early warning zone based on the longitudinal mileage, the gas type, the gas concentration and the weather data in the plurality of target queue elements; and obtaining a disaster identification result in combination with the lateral offset distance, thereby improving the universality and applicability of disaster identification.

The invention discloses a detecting, controlling and extinguishing intelligent automatic tracking and positioning water spraying fire extinguishing system, and relates to the technical field of intelligent fire extinguishing. Comprising a data acquisition and exploration fire signal, an AI intelligent control box and an automatic tracking and positioning water-spraying fire extinguishing device which are connected in sequence: a data acquisition and detection module signal is used for acquiring parking space temperature, thermal imaging and ultraviolet photometric smoke to form an initial data set; the AI intelligent control box is used for analyzing, judging and confirming a fire behavior according to the initial data set information and generating a control signal; and the automatic tracking and positioning water-spraying fire extinguishing device is used for receiving the control signal and extinguishing fire according to the control signal. According to the invention, a fire can be rapidly detected in an early stage, accurate positioning is realized, a fire extinguishing program is automatically started, the fire extinguishing time and efficiency are greatly improved, and a more reliable safety guarantee is provided for ship transportation of new energy electric vehicles and large parking garages.

The utility model relates to vehicle sensor technical field, and disclose a kind of vehicle external environment sensing device. Including vehicle body, still include: warning light, protective cover, millimeter wave radar, three camera systems, protective fence, the vehicle body upside is fixedly installed with warning light, the vehicle body bottom corner is installed with millimeter wave radar, the millimeter wave radar outside is fixedly installed with protective cover, the vehicle body downside is fixedly installed with protective fence, the protective fence upside is fixedly installed with three camera systems, the three camera systems include camera main part, the camera main part one side is fixedly installed with three evenly distributed camera lens, it is favorable to pass through synchronous integration visible light, near infrared and thermal imaging three big spectral channel, has constructed all-weather environmental perception ability, both retain visible light rich color and detail information, significantly improve rain and fog weather and backlight environment under target identification reliability.

1. Name of the product in this design: Binocular Infrared Thermal Imaging Telescope. 2. Application of this design: This design is a binocular optical observation device that can achieve long-distance observation and positioning in all weather conditions. It is suitable for search and rescue, outdoor exploration, border patrol and security monitoring and other scenarios. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

This invention relates to the field of intelligent transportation technology and discloses an intelligent transportation method and system for mines. The method includes: performing time-series filtering and gradient denoising on temperature data of mine transportation nodes collected by a thermal imaging camera to obtain a temperature feature matrix; identifying transportation anomaly information based on the temperature feature matrix; performing temperature pattern matching based on the transportation anomaly information to generate a transportation operation instruction set; using the transportation operation instruction set as constraints to plan temperature-safe paths in mine tunnels to obtain a transportation execution plan; after real-time location of mine workers using a thermal imaging camera, converting the transportation execution plan into standardized voice commands and pushing them to corresponding workers via a walkie-talkie network, and acquiring real-time scheduling feedback data including command reception confirmation and execution progress. This invention improves the intelligence level and safety of mine transportation by accurately locating workers through thermal imaging and combining it with a walkie-talkie network for zoned push notifications.

1. The name of the design product: handheld thermal imager. 2. The use of the design product: the design product is a handheld thermal imaging device, which can be used for long-distance observation and is suitable for border patrol, forestry protection, security and security, emergency search and rescue, etc. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: design 1 perspective view 1. 5. Design 1 is designated as the basic design.

This utility model relates to a multimodal unmanned aerial vehicle (UAV) monitoring system suitable for complex mining environments. It includes a flight platform, a sensor mounting bracket, multiple sensor components, a shock-absorbing device, connecting components, and a counterweight module. The multiple sensor components include a thermal imaging module, a lidar module, a visible light camera module, and a gas detection module, all mounted on the sensor mounting bracket and secured by detachable connecting components. The sensor mounting bracket is connected to the flight platform via the shock-absorbing device, effectively mitigating the impact of vibration. A counterweight module is located at the tail of the flight platform for center of gravity balance. This utility model features a stable structure, a reasonable layout, and is easy to maintain and replace, making it suitable for multimodal data acquisition and monitoring operations in complex environments such as mining areas.

The invention relates to the field of image processing, in particular to an industrial gas leakage detection method based on infrared thermal imaging, which comprises the following steps of: acquiring video streams by using a plurality of infrared thermal imagers, and constructing a gas basic geometric voxel grid through a background difference and view cone intersection method; thirdly, the sight line penetration depth and a statistical variable coefficient are calculated, and adaptive normalized radiation feature mapping based on statistical moments is constructed so as to solve errors caused by traditional homogeneous hypothesis; then, measuring and calculating a three-dimensional form compactness factor, generating a heterogeneous space density field weight in combination with the relative depth, and fitting a real diffusion gradient; and finally, calibrating a physical mapping coefficient by using single-point sensor data, and performing integral calculation on the real-time mass flow in combination with a three-dimensional optical flow method. According to the invention, the complex density gradient in the gas can be effectively reduced, and high-precision three-dimensional visual display and quantitative flow monitoring of gas leakage are realized.