66 results about "Thermal sensing" patented technology

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 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 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.

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.

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.

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 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.

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.

The embodiment of the utility model provides a semiconductor structure. The semiconductor structure comprises a first interconnection structure arranged above a first semiconductor substrate, a plurality of thermal sensors embedded in the first interconnect structure and sensing a temperature change in the semiconductor structure; and a first bonding structure disposed on the first interconnect structure and electrically coupled to the first interconnect structure. The thermal sensor is electrically isolated from the conductive feature of the first interconnect structure and the conductive feature of the first bonding structure. The thermal sensor is arranged in a first interconnect structure of the semiconductor structure to increase the accuracy of the thermal sensing device and establish a three-dimensional temperature profile of the semiconductor structure, thereby achieving accurate temperature sensing.

The utility model belongs to the field of electric power safety equipment, particularly relates to an operation safety prevention and control device for a high-voltage chamber of a substation kiosk, and aims to solve the problems that illegal processes cannot be identified and cooperative prevention and control are lacked. The system comprises a central control host, a personnel positioning module, an equipment state sensing module, an environment monitoring module and a directional intervention module. The personnel positioning module monitors the position and action of an operator through a positioning unit and a posture sensing unit which are arranged in the safety helmet; the equipment state sensing module obtains equipment operation information through the cabinet door state detection unit and the operation handle pressure sensing unit; the environment monitoring module adopts an infrared thermal sensing unit and a visible light monitoring unit which are arranged at the wall corner of the high-voltage chamber to collect environment data. The output end of each sensing module is connected with the multi-channel input end of the central control host, after the risk is analyzed and processed, the directional intervention module is driven by the control signal output end to conduct accurate and safe intervention, and multi-dimensional intelligent prevention and control of the operation process are achieved.

The utility model discloses a health monitoring and early warning device for a goose group, which relates to the field of health monitoring and early warning and comprises a metal frame, two goose group channels and a working channel are arranged in the metal frame, a partition plate is arranged between the goose group channels and the working channel and fixedly mounted on the inner wall of the metal frame, and the working channel is communicated with the metal frame. Two lifting fences are installed in the goose group channel in a sliding mode, a temperature measuring thermal sensing camera is arranged between the two lifting fences, and the temperature measuring thermal sensing camera is installed on the inner wall of the top side of the goose group channel. According to the utility model, the goose group channel and the working channel are arranged in the metal frame, a worker drives a goose group to pass through the goose group channels on the two sides, the temperature measurement thermal camera is used for measuring the body temperature of the goose, and the lifting fence can be put down to limit the goose group within a fixed range when an abnormality occurs; and then, a worker can move into the goose group channel from the working channel, abnormal geese are grabbed out and treated independently, and epidemic situation diffusion is avoided.

This invention relates to the field of computer heat dissipation and hardware reliability monitoring technology, specifically to an intelligent heat dissipation and monitoring system and method for chips, comprising: a state decision module, an action correction module, a deviation feedback module, and a closed-loop control module. The invention generates an initial state flow by collecting junction temperature, instruction throughput, and transient voltage drop, and infers a preliminary action flow using a thermal sensing decision engine. Junction temperature data and the preliminary action flow are fed to a cross-domain thermal mapping engine to calculate the thermal response step trajectory to generate a temperature rise trend flow. Based on the safety threshold calculated from the thermal fatigue characteristics of the chip material, over-limit actions are forcibly corrected, and a safe execution flow is output. The difference between the preliminary action flow and the safe execution flow is extracted as a negative penalty term and fed back to the engine reward function. A transient voltage drop calibration pulse modulation signal is acquired, and power supply fluctuations are compensated before driving the heat dissipation hardware. This invention achieves reliable heat dissipation management with self-learning capabilities while ensuring the physical safety of the hardware.

The present application relates to the technical field of medical monitoring devices, in particular to an emotion early warning wristband with adaptive biological sensing and variable stiffness protection function, which is sequentially stacked from inside to outside with a flexible sensing layer, an adaptive pressure compensation structure, a variable stiffness protection layer and an information identification layer; the variable stiffness protection layer is internally provided with honeycomb-shaped cavities filled with shear thickening fluid, and is compounded with a multi-axial woven high-strength fiber grid; the flexible sensing layer is integrated with a flexible electrode array and a first thermal sensing unit, and dynamically maintains constant contact impedance with the skin through the adaptive pressure compensation structure; and environmental temperature interference is eliminated through a double-path differential algorithm. The present application realizes the combination of normal flexibility and high rigidity in extreme working conditions through shear thickening effect, and realizes early warning of patient emotional agitation through multi-parameter fusion, effectively solving the technical pain points of easy damage of the wristband in the psychiatric department, distorted monitoring signals, and is suitable for safe monitoring and real-time monitoring of physiological indicators of patients in the psychiatric department.

A rechargeable battery system is provided. The rechargeable battery system comprises: a battery cell having a laminated housing enclosing electrolyte and electrode stacks; a thermal sensing pad embedded within the battery cell, the thermal sensing pad comprising a plurality of temperature sensors disposed at different internal positions within the battery cell, each temperature sensor encapsulated in an electrolyte-resistant material; an integrated circuit board electrically coupled with the thermal sensing pad, the integrated circuit board configured to: (a) receive sensor signals from the temperature sensors; (b) convert the sensor signals into digital temperature data; and (c) transmit the digital temperature data to a battery management system. The battery management system is configured to analyze the digital temperature data to assess internal temperature conditions of the battery cell.

This invention discloses a semiconductor testing technology field, specifically relating to a thermal simulation test wafer and its fabrication process. The thermal simulation test wafer includes at least one basic heating unit of a target size, which is cut from the wafer structure along a dicing line. Each basic heating unit is encapsulated based on a heating layer, a thermal sensing layer, a via layer, a pad layer, a passivation layer, and a bump layer arranged from bottom to top. This solution can simulate the thermal and physical properties of a real wafer, integrating heating and temperature measurement functions. It can be modularly combined to adapt to different testing scenarios, thereby significantly reducing testing costs, shortening development cycles, and improving the accuracy and reliability of test data.

The application discloses a physical information neural network optimized soil carbon storage precise evaluation system, relates to the cross field of artificial intelligence and geoscience, and comprises a multi-source heterogeneous data intelligent fusion module which is used for realizing multi-source heterogeneous data fusion from satellite hyperspectral images, unmanned aerial vehicle laser radar point clouds, microwave remote sensing, ground sensors, electromagnetic and thermal sensing, optical and acoustic monitoring, metagenomic sequencing, XRD mineralogy, hydrology and DEM through multi-modal space-time alignment, multi-physical field coupling perception, biological-mineral map construction and dynamic hydrological topology construction, and outputting consistency feature matrix, hydrological driving factor matrix and carbon stability biological index. In the application, key physical, chemical and biological kinetic equations of soil carbon cycle are embedded in a deep learning framework, so that the interpretability, generalization ability and prediction precision of the model in a complex environment are improved, and unified modeling and layered consistency prediction of surface and deep soil carbon cycle processes are realized.

The present application relates to the technical field of lighting control, and particularly relates to a lamp adjustment system based on indoor environment sensing of Internet of Things, which comprises: a main control layer sensing unit for collecting indoor temperature and overall indoor illumination; a correction layer sensing unit for collecting outer wall surface temperature and window edge illumination; a basic target determination unit for determining a color temperature basic value and a brightness basic value; a thermal inertia correction unit for determining a time shift factor and a rate factor based on the change rate of the inner surface temperature of the outer wall, and determining a virtual temperature based on the time shift factor; a boundary constraint unit for constraining the effective values of the time shift factor and the rate factor; an adjustment instruction generation unit for determining a color temperature adjustment rate based on the constrained rate factor, and generating a color temperature adjustment instruction and a brightness adjustment instruction; and an Internet of Things communication unit for issuing the above instructions to a lamp controller and interacting with a cloud platform to receive parameter configurations. The present application solves the problem of misalignment between light color adjustment and indoor thermal sensing of the existing system.

The invention discloses an intelligent temperature control system for truck automatic spray cooling control equipment, which relates to the technical field of vehicle thermal management and comprises a thermal inductance and modeling module, a cooling decision module, a parameter injection module, a parameter compensation module and an execution scheduling module. The thermal sensing and modeling module scans a target area through a multi-point thermal sensing array to generate initial thermal field distribution data, and inputs the initial thermal field distribution data into a thermal field evolution model to calculate real-time thermodynamic instability; the cooling decision module compares the instability with a threshold value to generate a spraying strategy instruction; a parameter injection module activates a thermal disturbance response channel to inject a spraying control parameter vector; the parameter compensation module evaluates thermal inertia, calculates compensation amount and reconstructs control logic to form a post-compensation strategy; and the execution scheduling module imports the initial thermal field data to the compensation strategy to generate a final spraying execution instruction. According to the system, precise heat management and dynamic cooling scheduling are achieved, and the spraying cooling efficiency and the control precision of the truck are improved.