120 results about "Thermal sensing" patented technology

The invention belongs to the technical field of ocean engineering and water electrolysis hydrogen production. In order to solve the problems that a traditional water cooling system is large in size and low in heat dissipation efficiency, a multi-scale thermal sensing network is deployed to collect data; establishing a multi-phase-change cross-scale heat transfer model; constructing a two-stage gradient composite cooling module; constructing and optimizing a cooling decision algorithm; designing a cooperative control loop; deep reinforcement learning control is implemented; creating a functional surface; and constructing a dynamic optimization system. The characteristics of part of the steps are limited, efficient heat management can be achieved, and stable operation of the floating type offshore hydrogen production platform cooling system is guaranteed.

The invention discloses an intelligent cabin environment sensing and control method based on a vehicle sensor, and relates to the technical field of intelligent automobiles, and the method comprises the following steps: in the operation process of an intelligent cabin, an infrared thermal sensing system collects thermal imaging data in an automobile in real time, extracts multi-dimensional feature data based on the obtained thermal imaging data, and sends the multi-dimensional feature data to the intelligent cabin; and forming an infrared thermal image characteristic data parameter set. According to the method, the key features of the infrared thermogram are extracted, and the machine learning model is combined, so that accurate identification and dynamic suppression of the thermo-optical interference state are realized. According to the method, sampling and filtering strategies can be adaptively adjusted in complex environments such as strong light reflection, a real thermal image contour is reconstructed, a non-human body heat source is effectively eliminated, the recognition accuracy and the operation stability of an infrared thermal sensing system are remarkably improved, the misjudgment rate is reduced, and the safety and the reliability of an intelligent cabin are enhanced.

The invention relates to the technical field of flow measurement, in particular to a gas flow self-adaptive compensation method for an MEMS (micro-electromechanical system) thermal sensor, which utilizes a sensor comprising a micro heater, a temperature sensing element, an auxiliary thermal sensing unit and a micro-disturbance temperature sensing unit to perform multi-dimensional compensation. The method comprises the following steps: applying a multi-frequency thermal excitation signal to a micro heater, performing frequency domain analysis, and extracting a gas feature signature to determine a normalized conversion factor for compensating gas component change; meanwhile, an auxiliary thermal sensing unit is used for monitoring long-term drifting of the sensor under the condition that measurement is not interrupted, and online self-correction is carried out on a main response curve; in addition, a dynamic turbulence index is generated through a micro-disturbance temperature sensing unit, and a compensation model is selected or fused according to the dynamic turbulence index to adapt to a non-ideal flow field. Finally, according to the method, an accurate gas flow value is output by integrating compensation information in the three aspects, and the problems of poor adaptability and low reliability in the prior art are solved.

The invention discloses an object recognition method and device, a storage medium and electronic equipment. The method comprises the steps that a to-be-recognized area is determined according to the pixel probability of each pixel point in a to-be-recognized image, and the pixel probability of the pixel points in the to-be-recognized area meets a preset probability judgment condition; visible light feature extraction operation and thermal sensing feature extraction operation are executed on the to-be-recognized area, visible light features and thermal sensing features of the to-be-recognized area are obtained, the visible light features comprise circularity features, texture features and high-frequency energy features, and the thermal sensing features comprise temperature distribution features and centroid features; performing pyroelectric feature extraction operation on the to-be-recognized image to obtain pyroelectric features of the to-be-recognized area; and determining an identification result according to the visible light feature, the thermal sensing feature and the pyroelectric feature. The technical problem that the accuracy of object recognition is low is solved.

The invention discloses a socket with safety protection. The socket comprises a multi-mode thermal sensing array, and a fusion array of a miniature infrared thermal imaging sensor array and a distributed fiber grating temperature sensor which are integrated at key points in the socket; according to the active locking mechanism based on the thermal deformation prediction model, a micro servo motor, a ball screw, a pre-tightening spring and a spring bolt form an electronic lock, a shape memory alloy wire is used for rapid and silent emergency unlocking, and the micro servo motor is used for high-precision conventional locking; the dynamic thermal safety boundary algorithm module is used for dynamically calculating the optimal temperature upper limit and the optimal power upper limit of each component in the current state according to factors such as a real-time temperature field, predicted thermal deformation, current charging power and historical charging data; the main controller is used for transmitting a large amount of real-time temperature field data. Through multi-mode sensing, predictive modeling and master-redundancy cooperative execution, thermal safety and mechanical reliability of the charging interface under extreme working conditions are guaranteed.

The invention relates to the technical field of safety management, and discloses a venue safety emergency large model construction method based on artificial intelligence, comprising the following steps: step 1, deploying a composite sensing device in a preset area of a venue, the composite sensing device comprising an infrared thermal sensing detection module and a video identification module, the infrared thermal sensing detection module is used for collecting human body thermal sensing track data, and the video recognition module is used for collecting human body image data and marking behavior characteristics in the thermal sensing track data and the image data in real time. According to the method, the technical scheme of constructing the dynamic event evolution diagram is adopted, the technical effect of automatically constructing the event causal chain is achieved by mapping the personnel behavior state and the regional position into the diagram nodes and establishing the space-time correlation edge, and compared with the technical scheme of isolated analysis of surface features in the prior art, the method has the advantages that the efficiency is high; the defect that a child is misjudged due to the fact that a binding relation between a guardian moving track and ticket business cannot be associated is overcome.

The invention discloses a multi-core processor dynamic regulation and control method and system based on load and temperature sensing, and relates to the technical field of temperature control scheduling management, and the method comprises the steps: collecting and preprocessing load and temperature data in real time, and building a thermal sensing model to predict the temperature change; constructing a self-adaptive heuristic scheduling algorithm, and adjusting task distribution according to real-time data of the core load and the temperature; according to the load and temperature states, a dynamic voltage frequency adjustment strategy is adopted, and the frequency and the voltage are automatically adjusted when the load and the temperature are too high; and when the load and the temperature exceed set threshold values, a scheduling algorithm is optimized by adopting a self-learning mechanism, and a scheduling strategy and a temperature control scheme are automatically adjusted. According to the method, a more flexible and accurate dynamic regulation and control scheme is provided, the stability and high efficiency of the processor in a high-load and high-temperature environment can be ensured, performance reduction and hardware damage are avoided, and the obvious effects of saving energy and improving system stability are achieved.

The embodiment of the invention discloses a thermal sensing autonomous welding path planning method and system and a readable storage medium. The method comprises the steps that S1, a four-target welding path optimization model is established; s2, establishing a TD-TSP model and a continuous planning model; s3, solving an optimal welding seam sequence, and inputting the optimal welding seam sequence into the continuous planning model to generate a smooth path; s4, calculating the accurate moving time of the smooth path, and feeding back the accurate moving time to the TD-TSP model to update cost estimation; iteration of the continuous planning model is realized; s5, judging whether the continuous planning model reaches the maximum number of iterations or not; if yes, outputting an optimal welding path; if not, executing S6; s6, judging whether the smooth path meets a constraint condition or not and whether an objective function of the continuous planning model is converged or not; if not, executing S3; and if yes, outputting an optimal welding path. By introducing the heat-induced deformation cost and the heat accumulation constraint, heat deformation and residual stress in the welding process are effectively controlled, weld defects are reduced, and the product percent of pass is increased.

The invention discloses a smart text travel digital twin interaction system, relates to the technical field of data processing, and aims to solve the problem of automatically guiding abnormally gathered tourists so as to improve the experience feeling of the tourists in visiting indoor scenes. Comprising a digital twin model, a monitoring unit and an interaction unit, the monitoring unit is used for collecting a positioning point uploaded by the terminal and a thermal sensing image uploaded by the thermal infrared imager, and sending the positioning point and the thermal sensing image to the digital twinborn model; the digital twin model is used for receiving the positioning point and the thermal sensing graph, simulating the activity of the tourist based on the positioning point and the thermal sensing graph, determining the visiting position of the tourist, and sending a starting instruction to the interaction unit when the visiting position coincides with a preset target visiting area; and the interaction unit is connected with the display equipment and is used for starting the display equipment in response to the received starting instruction.

This invention relates to an integrated data monitoring system for thermal sensing devices. The system includes: a data acquisition card for acquiring various analog or digital signals, and uploading the acquired, filtered, and denoised data to a data acquisition device via a network port based on TCP and a private user protocol; a data acquisition device for controlling the data acquisition card according to instructions issued by the system monitoring center, and sending the data to an integrated network controller; an integrated network controller for converting communication protocol data from different data acquisition devices into a unified mode and sending it to the system monitoring center, and for converting received data or instructions into a communication format corresponding to the data acquisition device and sending it to the data acquisition device; a system monitoring center for classifying and recording the received data, comparing it, and triggering an alarm if the data exceeds the range or abnormal data is found, while simultaneously removing the abnormal data, obtaining a graph, and sending it to a cloud platform data center; and a cloud platform data center for converting the received data into images and displaying the data images and graphs.

The application discloses a nuclear power steam generator thermocouple wire and fixing piece bending device. The device clamps and fixes two ends of the fixing piece respectively, inserts the thermocouple wire into the fixing piece, and realizes S-shaped bending of the thermocouple wire and the fixing piece by pressing one end of the fixing piece. In the bending process, the bending slider and the lower clamping plate of the hot end realize smooth guiding to the fixing piece, so that no indentation is caused on the hot end thermocouple wire, and the internal thermal sensing wire of the thermocouple wire is not damaged. The bending size can be determined by measuring the distance of the bending slider extending out of the shell.

The application belongs to the technical field of computer control, and discloses a notebook computer intelligent heat dissipation control system based on a multi-modal sensor, which comprises the following steps: collecting multi-modal thermal sensing data of a notebook computer; identifying a current running scene type and obtaining user heat dissipation preferences based on the multi-modal thermal sensing data; calculating a thermal trend index of each hardware component of the notebook computer according to historical multi-modal thermal sensing data and the current running scene type; generating a heat dissipation regulation scheme with scene adaptability based on the thermal trend index, the current running scene type and the user heat dissipation preferences; and realizing notebook computer intelligent heat dissipation control in a progressive regulation mode according to the heat dissipation regulation scheme, so that the stability of the notebook computer performance is greatly improved and the hardware service life is prolonged.

An embodiment method of forming a layout plan of an integrated circuit (IC) device includes obtaining a placement of a plurality of digital circuit cells in a region of a layout plan; obtaining an initial placement of one or more thermal sensing resistor cells in a subset of a plurality of metallization layers and a subset of a plurality of via layers of the layout plan; obtaining a routing plan based on a clock tree synthesis and the initial placement of the one or more thermal sensing resistor cells; performing a thermal analysis based on the placement of the plurality of digital circuit cells and the routing plan to identify one or more areas of interest in the region of the layout plan; and obtaining a refined placement of the one or more thermal sensing resistor cells respectively over the one or more areas of interest.

The invention provides a rechargeable battery system. The rechargeable battery system includes: a battery cell having a laminated case encapsulating an electrolyte and an electrode stack; the thermal sensing pad is embedded in the battery unit, the thermal sensing pad comprises a plurality of temperature sensors arranged at different positions in the battery unit, and each temperature sensor is packaged in an electrolyte-resistant material; the integrated circuit board is electrically connected with the thermal sensing pad; the integrated circuit board is configured to: (1) receive a sensing signal from the temperature sensor; (2) converting the sensing signal into digital temperature data; and (3) transmitting the digital temperature data to a battery management system. The battery management system is configured to analyze the digital temperature data to evaluate an internal temperature condition of the battery cell.

The present application discloses a heat dissipation system, a node server, a heat dissipation method, a device and a medium, and relates to the field of server technology. The heat dissipation array is composed of mobile heat dissipation components connected by magnetic attraction, and is positioned on the surface of the device to be cooled. The thermal sensing device is connected to the controller, and the controller is connected to the wireless power transmitting array. The controller determines the heat dissipation path based on the heat dissipation performance parameters and the power distribution strategy of the heat dissipation device, and performs power distribution processing on the wireless power transmitting array. The heat dissipation array knows the heat dissipation path constructed by the mobile heat dissipation component required by the device to be cooled by the amount of electric energy, so as to dissipate the heat of the components to be cooled. In order to solve the technical problems of reduced heat dissipation efficiency and low space utilization caused by the fixed position of the heat dissipation module, limited hardware layout and loss of cable power supply, the flexible movement of the magnetic connection of the mobile heat dissipation component and the wireless receiving method are achieved, which saves space utilization while improving the heat dissipation efficiency.

This utility model provides a thermal alarm, including: a detection box and a thermal sensing mechanism. The detection box has a detection hole, and the thermal sensing mechanism is installed inside the detection box. The thermal sensing mechanism includes: a sensing head, an alarm buzzer, and a signal processing component. The top of the alarm buzzer is connected to the sensing head, which is located at the center of the top surface of the alarm buzzer and is vertically aligned with the detection hole. This thermal alarm optimizes the reception and guidance of thermal signals through the design of the top sensing cover and partition block of the detection box, ensuring that the sensing head can accurately receive external thermal signals from all directions. The close cooperation between the thermal sensing mechanism and the signal processing component makes signal processing rapid and accurate, enabling timely judgment of whether the thermal signal is abnormal.

The application discloses a method for unmanned aerial vehicle assisted thermal sensing MEC network task scheduling and resource allocation. In the case of considering CPU thermal constraints, the cruising time of the unmanned aerial vehicle is minimized by jointly optimizing user admission policy, task scheduling, unmanned aerial vehicle hovering trajectory, flight time, and computing and communication resource allocation. The optimization problem is further decomposed into three sub-problems and iteratively processed in order. Simulation results show that the method has good performance improvement effect compared with other algorithms.

The application discloses a kind of based on continuous gradual change micro-nano structure's bionic antireflection light-thermal sensing material and its preparation method, method includes the following steps, provide elastic substrate layer, intermediate conductive layer and upper layer heat-sensitive layer;Wherein, elastic substrate layer is high molecular elastic polymer, intermediate conductive layer includes silicone rubber and carbon nanotube blend, upper layer heat-sensitive layer includes silicone rubber, carbon black and carbon nanotube blend;Elastic substrate layer is formed into elastic plane material using heat curing or light curing mode, on its upper surface, spray conductive layer in normal temperature environment, after drying and annealing, obtain solidified intermediate conductive layer;Subsequently, with light-thermal sensitive layer again spraying, after heating and curing, obtain upper layer heat-sensitive layer, the application is through interface bionic structure, the synergic design of conductive material and light-thermal material, effectively improve the light absorption efficiency and response sensitivity of sensing material.

A microwave cooking appliance and method for operating the same perform an adaptive thermal sensing cycle in which a temperature sensor is used to develop a temperature profile for food being heated or cooked at an intermediate point in the cycle, such that a duration and output level for a subsequent stage of the cycle may be determined at least in part based upon the temperature profile.

A sensor, a device, a system, and a method, for biometric sensing, are provided. Such a device or system includes a micro heater and a micro temperature sensor for at least active thermal sensing, which may comprise an oxide semiconductor material. The micro heater and the micro temperature sensor may be separate or combined in one pixel. The present disclosure also provides an out-cell type or an in-cell type of biometric sensor on display device, for example, an out-cell type or an in-cell type fingerprint sensor on display (FoD) device. The pixels for active thermal sensing include an oxide semiconductor material. The methods of making and the methods of using the sensors, the devices, or the system are also provided.

The invention provides a smart home control method and system, and a computer readable storage medium. The method comprises the steps of obtaining a heat map data set of a user collected by an infrared thermal inductance module; inputting the heat map data set into a multi-modal feature extraction module, and outputting emotion classification information and behavior classification information; the multi-modal feature extraction module comprises a convolutional neural network, the convolutional neural network comprises a backbone network, the backbone network is connected with a feature pyramid network, the feature pyramid network is connected with a time sequence modeling module, the time sequence modeling module is connected with an emotion classification module, and the time sequence modeling module is further connected with a behavior classification module; the time sequence modeling module outputs temperature change information of a face area and user contour change information, the emotion classification module outputs emotion classification information, and the behavior classification module outputs behavior classification information; and querying the smart home control information, and applying the smart home control information. According to the invention, the use of sensors is reduced, so that interaction between people and smart home is realized.

A sensor, a device, a system, and a method, for biometric sensing, are provided. Such a device or system includes a micro heater and a micro temperature sensor for at least active thermal sensing, which may comprise an oxide semiconductor material. The micro heater and the micro temperature sensor may be separate or combined in one pixel. The present disclosure also provides an out-cell type or an in-cell type of biometric sensor on display device, for example, an out-cell type or an in-cell type fingerprint sensor on display (FoD) device. The pixels for active thermal sensing include an oxide semiconductor material. The methods of making and the methods of using the sensors, the devices, or the system are also provided.

The present disclosure relates to a method for implementing a VPTAT multiplier in a high-precision thermal sensor. A temperature sensing circuit and a switched capacitor circuit selectively sample ΔVbe and Vbe voltages and provide the sampled voltages to the input of an integrator. A quantization circuit quantizes the output of the integrator to generate a bit stream. When the latest bit of the bit stream is a logic zero, the operation includes sampling and integrating ΔVbe a first given number of times to generate a voltage proportional to the absolute temperature. When the latest bit of the bit stream is a logic one, the operation includes sampling and integrating Vbe a second given number of times to generate a voltage complementary to the absolute temperature. A low-pass filter and a decimator filter and decimate the bit stream generated by the quantization circuit to generate a signal indicating the temperature of a chip in which the temperature sensing circuit is integrated.

The application provides a three-dimensional integrated power integrated circuit thermal management method and system, relates to the technical field of power integrated circuits, and comprises the following steps: receiving a running index sequence of a target power integrated circuit in a preset monitoring window and performing running state feature analysis; traversing embedded temperature sensors of a chip layer set to collect temperature distribution and identify hot spot regions; combining circuit running working condition features and the hot spot region set to perform thermal management strategy analysis, obtaining a thermal management strategy, and using a plurality of MOSFET switching circuits to adaptively control and manage a plurality of power output branches. The application solves the technical problem that, in the prior art, due to the fact that the power integrated circuit is dominated by long thermal paths and horizontal heat dissipation, local regions are overheated and thermal management response is lagged, thereby affecting the stability of the circuit, and the stability of the power integrated circuit is improved by using a MOSFET switching circuit array to realize thermal sensing power path dynamic scheduling.

The invention provides a reversible thermochromic insulating material for thermal sensing of electrical equipment and a preparation method thereof, the insulating material comprises the following raw materials by weight: 19.2 to 25.6 parts of a core material emulsion, 6.2 to 8.8 parts of thermosensitive microcapsule powder, 173.8 to 186.2 parts of a base material, 92 to 108 parts of an auxiliary additive, and 4.5 to 6.2 parts of an emulsifier; the core material emulsion comprises the following components in parts by weight of the total components of the insulating material: 0.3-0.4 part of a composite color former, 18-24 parts of modified octadecanol and 0.9-1.2 parts of bisphenol A, and the modified octadecanol contains silicon-oxygen bonds. The core material emulsion is a core basis for realizing a thermochromic function and provides color change capability responding to temperature for the material, and the thermosensitive microcapsule powder plays roles in protecting the core material and maintaining thermochromic stability, ensures that the core material normally plays a role in a complex environment, assists the base material to enhance insulativity and mechanical support, and improves the thermochromic performance of the material. All the components are matched to guarantee stable exertion of the thermochromic function in nuclear power equipment.

An integrated heater and measurement (IHM) device is disclosed. The IHM device includes a heat-sensing element and a heat-sensing circuit. The heating-sensing element generates heat and determines a temperature of the IHM device. In some embodiments, the heating-sensing element may operate in a plurality of modes: a heating mode, a sensing mode, and / or a turn-off mode. The controller may dynamically adjust a property of the operating mode and / or time period based on the determined temperature. The adjusted properties may include the duration of the heating pattern, the on-time of the heating-sensing element, and the like. The controller may adjust the duration of the heating mode based on a temperature difference between the determined temperature and the set point temperature, such as decreasing the duration of the heating mode when there is a low temperature difference and increasing the duration of the heating mode when there is a high temperature difference.

Embodiments of the invention provide a thermal sensor comprising: a single first temperature sensitive device comprising a single bandgap thermal sensing device; a first current source connected to the first temperature sensitive device by a first switch, the first current source being adapted to pass a first value of current through the bandgap thermal sensing device by the first switching device; a second current source connected to the first temperature sensitive device by a second switch, the bandgap thermal sensing device being adapted to generate a temperature dependent signal in response to temperature and current at each of the first value and the second value; a signal processing circuit operably connected to the bandgap thermal sensing device by a third switching device and, when connected to the bandgap thermal sensing device, processing a received temperature dependent signal to generate a processed signal; wherein the first, second and third switching devices are adapted to be actuated in concert to alternately connect the first current source and the second current source to the bandgap thermal sensing device. Embodiments of the invention also relate to methods of temperature measurement.

The invention discloses an infrared thermal imaging diagnosis system and method based on a converter station intelligent gateway, and the system comprises an infrared thermal imaging collection unit which is used for collecting the image data of a core thermal load region through arranging a visual and infrared thermal sensing terminal in the core thermal load region of to-be-monitored equipment, sending the data to the edge computing intelligent gateway; the edge computing intelligent gateway is deployed in a core thermal load area, and the edge computing intelligent gateway is used for preprocessing the image data and performing preliminary judgment on the preprocessed image data to obtain a preliminary thermal analysis result of the image data; generating alarm information based on the preliminary thermal analysis result, and sending the alarm information to an operation and maintenance management platform; the operation and maintenance management platform is used for fusing the image data in the alarm information with the multi-source data to generate fused data; and the operation and maintenance management platform is used for analyzing the fusion data through a deep learning image recognition model and outputting a diagnosis result of the to-be-monitored equipment.

This invention relates to the field of power transmission line monitoring and early warning technology, specifically an intelligent bird monitoring device and risk warning method for power transmission lines. The device includes an intelligent bird monitoring device for power transmission lines and a risk warning method using the device. The monitoring device comprises an image acquisition module, a thermal sensing module, a sound acquisition module, a motion monitoring module, an edge computing module, and a power supply module. Each acquisition module is signal-connected to the edge computing module, and the power supply module provides power to all modules. Through the collaborative work of multiple modules, comprehensive and multi-dimensional monitoring of bird activity in power transmission line areas is achieved. The early warning method is implemented through five steps: data acquisition, data processing, intelligent analysis, risk assessment, and early warning output. This invention enables comprehensive and accurate monitoring and tiered early warning of bird activity in power transmission line areas, improving monitoring efficiency and early warning accuracy, and ensuring the safe and stable operation of power transmission lines.