21 results about "Temperature perception" patented technology

The invention provides an indoor environment monitoring method and system integrating temperature and humidity, and is applied to the field of sensing data processing. According to the method, the reading difference of the temperature sensor is collected, whether local deviation exists or not is judged, the arrangement type of the sensor is combined, a low temperature value generated by the wall-leaning sensor due to the cold bridge effect is dynamically compensated, misjudgment of an environment system is avoided, and the human body temperature is introduced as a sensing reference by constructing a temperature difference deviation function. According to the method, comprehensive temperature indexes closer to real experience can be generated, when abnormal fluctuation is detected, the space structure and heat source information are further combined, boundary conditions are constructed, dynamic heat flow and temperature and humidity distribution diagrams are simulated, temperature sensing deviation is effectively and reversely corrected, the precision, stability and energy-saving performance of an environment adjusting system are remarkably improved, and the comfort degree of a human body is improved.

The invention discloses a real-time adaptive temperature monitoring intelligent sensor based on a deep learning algorithm, and belongs to the technical field of environmental parameter measurement and artificial intelligence. The sensor is composed of a main temperature measuring unit, an auxiliary environment sensing unit, a data acquisition circuit, a microcontroller, a deep learning processing module, a memory, a communication module and a power supply module. Multi-modal data are obtained through the auxiliary environment sensing unit, and the multi-modal data are preprocessed and then input into the self-adaptive temperature sensing network. In the adaptive temperature sensing network, a multi-mode encoder extracts time sequence characteristics of each channel, a convolution auto-encoder reconstructs a normal temperature measurement mode and performs anomaly detection, and a fusion decoder fuses output of each sensor into a corrected temperature value based on a dynamic weight formula. The method has the advantages of high real-time performance, high measurement precision, timely anomaly detection, high self-learning capability, low power consumption and the like.

The invention discloses a multi-mode visual tactile sensor and a sensing method thereof. The sensor is composed of a sensing cover and an imaging box body, the sensing cover is fixed on the imaging box body, the sensing cover is provided with a flexible sensing layer, an embedded mark point array combining inert ink and thermochromic ink is arranged in the sensing layer, during tactile sensing, a light source is provided through the imaging box body, and multi-mode sensing data is obtained. Therefore, displacement tracking and temperature sensing are realized at the same time. According to the invention, multi-mode sensing of five modes of a two-dimensional texture pattern, a three-dimensional texture image, a three-dimensional displacement field, a three-dimensional force field and a two-dimensional temperature field can be realized under a single optical frame, real-time co-registration measurement can be realized, and a high-integration-level solution is provided for a robot touch system. The problems that an existing visual tactile sensor cannot sense multi-mode information synchronously, force field reconstruction calculation is complex, and temperature sensing capacity is lacked are solved, and the visual tactile sensor is suitable for application scenes such as robot tactile sensing, man-machine interaction, intelligent artificial limbs and industrial detection.

The invention provides a primary and secondary fusion complete ring main unit cooling device dynamic optimization method, and belongs to the technical field of ring main unit cooling optimization based on deep learning. A dynamic monitoring data set comprising a ring main unit thermal field monitoring data set and a thermal coefficient monitoring data set is constructed, the thermal field monitoring data set is constructed through five-view infrared image splicing and high-density thermocouple calibration, and the thermal coefficient monitoring data set is constructed through combination of mechanical data such as vibration and stress and manual calibration; constructing a thermal coefficient sensing model, and evaluating a heat production coefficient and a heat dissipation coefficient of the ring main unit in real time based on force field data through three-branch feature extraction and adaptive weighted fusion; constructing a thermal field sensing model, and adopting an extractor-reconstructor architecture and a cross-layer feature fusion device to realize full-scene temperature sensing; and a cooling optimization control algorithm is designed, thermal field distribution and thermal coefficients are combined, self-adaptive adjustment is performed on seven cooling device parameters such as the fan rotating speed and the liquid cooling flow speed through multi-objective optimization, and refined cooling control is realized.

The invention relates to the technical field of geotechnical engineering monitoring, and discloses a water-rich sand pebble bed pile foundation settlement monitoring system and method.The system comprises at least one intelligent sensing pile internally and integrally provided with a mechanical-temperature sensing module used for obtaining strain and temperature distribution of a pile body, a water-rich sand pebble bed pile foundation settlement monitoring module, a water-rich sand pebble bed pile foundation settlement monitoring module, a water-rich sand pebble bed pile foundation settlement monitoring module and a water-rich sand pebble bed pile foundation settlement monitoring module, the electrical sensing module comprises an electrode array and is used for applying current and measuring potential; the acoustic sensing module is used for passively collecting acoustic emission signals of soil around the pile; and the data processing module is configured to execute joint inversion imaging, that is, the strain and / or acoustic emission signals are used as prior constraints to invert the electrical data so as to generate a three-dimensional resistivity image representing the state of the soil body around the pile. According to the method, through the multi-physical field joint inversion and physical property parameter decoupling technology, accurate positioning of the damage of the soil body around the pile and quantitative diagnosis of the porosity and the water saturation are achieved.

The present application relates to precision machine tool control technical field, especially machine tool spindle temperature measurement method and system, method includes: real-time acquisition spindle drive motor current signal and switching frequency data, analysis spindle each component's heat power distribution;Based on the physical structure layout of each component of the spindle, the spindle is decomposed into a thermal node network, combined with the heat power distribution, the temperature rise prediction value of each node is obtained;The actual temperature value of the key node is obtained, when the deviation of the temperature rise prediction value and the actual temperature value of any node exceeds the set threshold, the corresponding node is compensated and corrected;According to the corrected thermal node network, the periodic temperature rise gradient in the future machining path is predicted, and based on the workpiece geometric error obtained by in-situ measurement, the thermal resistance parameter in the thermal node network is corrected reversely. Through the present application, the problems such as temperature rise prediction distortion caused by disconnection of mechanical parameters, lack of temperature perception in closed area and dynamic working condition response lag of traditional temperature measurement technology are effectively solved.

The invention discloses a highway freight vehicle driving risk grading method based on temperature perception, and the method comprises the steps: 1, introducing an ECA attention mechanism, an SPPELAN feature fusion module and an AFPN detection head based on an improved YOLOv8 vehicle detection model, and improving the detection precision of a key part of a vehicle; 2, a gray scale-temperature conversion model is provided, and a temperature distribution diagram is clearly presented through visualization processing; 3, based on the law of conservation of energy, establishing a brake drum temperature calculation model of the vehicle in the braking process of the long downhill road section; and 4, according to the brake drum temperature obtained or calculated in real time, a vehicle safety risk grading early warning model is constructed. The temperature of the brake drum of the expressway freight vehicle can be obtained in real time through the infrared thermal imaging monitoring device or the temperature calculation model, so that the driving risk level can be accurately evaluated based on temperature changes, timely early warning and active intervention are achieved, and traffic accidents caused by overheat braking of the freight vehicle are effectively prevented.

The present application relates to the field of sensor technology, and in particular to a bidirectional electronic skin system and application with multimodal sensing and feedback stimulation, the system comprising: a bidirectional electronic skin and a control circuit connected thereto; the control circuit being used to respectively establish a correspondence between temperature perception and hot and cold stimulation of a semiconductor refrigeration plate, a relationship between force perception and electrical stimulation, and a correspondence between resistance perception and stimulation of a vibration motor; the bidirectional electronic skin comprising a multimodal stimulation electronic skin and a multimodal synchronous sensing electronic skin; the bidirectional electronic skin being installed on a wearable prosthetic hand, the flexible fingers of the wearable prosthetic hand being integrated with the multimodal synchronous sensing electronic skin to sense external stimuli; and the multimodal stimulation electronic skin being attached to the surface of the human body to stimulate the human body's sense of touch. The bidirectional electronic skin system provided in the present application converts the tactilely sensed temperature, resistance, and force into corresponding temperature, vibration, and electrical stimulation and feeds it back to the human body, thereby enhancing the human body's tactile perception and improving the human-computer interaction capability.

The invention relates to the field of temperature detection, in particular to a synchronous temperature detection method for heating furnace material sheets, which comprises the following steps of: acquiring multichannel original temperature data of the material sheets through a sensing layer, and transmitting the temperature data to a data processing layer; and the processing layer carries out fusion reconstruction on multichannel original temperature data based on a thermal field reconstruction engine, carries out fusion analysis on an environment image and a temperature image on the temperature data through a deep learning model, and outputs a three-dimensional temperature field with space-time continuity constraint and a prediction result. And the control layer generates a control instruction according to the temperature prediction result and feeds back to the execution layer for execution. The temperature sensing layer is used for sensing the temperature of the material sheets at the material opening of the heating furnace, multi-channel data fusion reconstruction is carried out on the temperature field, the accuracy of temperature sensing is enhanced, and accurate temperature detection can be carried out on the multiple material sheets.

A fluid fixture that manipulates human temperature perception to provide a desired temperature sensation while conserving energy. The fixture includes inlets for receiving fluid at different temperatures and a flow control mechanism to regulate the relative proportions of the fluid streams, producing an output stream. The outlet is configured to deliver the output stream in a manner that creates a perceived temperature different from the actual temperature by leveraging temperature sensation manipulation techniques, such as the thermal grill illusion and paradoxical heat sensation. These techniques exploit the properties of human thermoreceptors to induce a thermal illusion, enabling the fixture to provide a comfortable temperature sensation using less energy to heat the fluid. By optimizing the spatial and temporal delivery of the fluid streams, the fixture offers an energy-efficient and adaptable solution for enhancing user comfort and satisfaction in various fluid fixture applications, including showers, faucets, and bidets.

The application discloses a kind of multimodal vision tactile sensor and its sensing method.Sensor is constituted by sensing cover and imaging box body, sensing cover is fixed on imaging box body, sensing cover is provided with flexible sensing layer, sensing layer is equipped with the embedded mark point array of combined inert ink and thermochromic ink, when tactile perception, light source is provided by imaging box body and obtains multimodal sensing data, to realize displacement tracking and temperature perception simultaneously.The application can realize five modal multimodal sensing of two-dimensional texture pattern, three-dimensional texture image, three-dimensional displacement field, three-dimensional force field and two-dimensional temperature field under single optical frame, can be measured in real time co-registration, provide high integration solution for robot tactile system, solve the problem that existing vision tactile sensor cannot synchronously perceive multimodal information, force field reconstruction calculation is complex, lack of temperature sensing capability, suitable for robot tactile perception, man-machine interaction, intelligent prosthesis and industrial detection and other application scenarios.

The utility model discloses a temperature sensor, comprising a temperature sensing housing, one end of which is open, the other end of which is provided with a convex first temperature sensing curved surface, and the inner side wall of which is a hemispherical or semi-ellipsoidal cavity; the single-ended output temperature sensing device comprises an inductive head and two transmission lines located at one end of the inductive head, and the other end of the inductive head is hemispherical or semi-ellipsoidal and abuts against the inner side wall of the first temperature sensing curved surface in an attached mode, so that the other end of the inductive head is partially wrapped in the inner side wall of the first temperature sensing curved surface; the limiting frame is assembled in the temperature sensing shell and abuts against one end of the sensing head so that the sensing head can be limited between the limiting frame and the first temperature sensing curved surface, the sensing head can be allowed to be in close contact with the inner side wall of the first temperature sensing curved surface through the first temperature sensing curved surface of the temperature sensing shell, temperature information can be better received and transmitted, and the temperature sensing shell is convenient to use. The limiting frame ensures stable contact between the sensing head and the temperature sensing curved surface, and the temperature detection accuracy is improved.

The invention relates to the field of medical instruments, in particular to a multi-dimensional perceptual intervention guide wire and a preparation method and application thereof. The multi-dimensional sensing intervention guide wire comprises a guide wire body, a pressure sensing unit, a temperature sensing unit and a plurality of strain sensing units, the pressure sensing unit, the temperature sensing unit and the strain sensing units are distributed in the axial direction of the guide wire body, the pressure sensing unit determines the contact position and contact pressure of the guide wire body, and the temperature sensing unit monitors temperature changes of media around the guide wire body in real time. The strain sensing unit obtains the bending angle and spatial attitude information of the guide wire body in real time; wherein the electrode of the pressure sensing unit is located at the end of the guide wire body, the electrode of the temperature sensing unit is arranged behind the electrode of the pressure sensing unit in the axial direction, and the electrode of the strain sensing unit is arranged behind the temperature sensing electrode in the axial direction and located in the middle of the guide wire body. The multi-physical-quantity sensing device is compact in structure, high in flexibility and capable of achieving multi-physical-quantity sensing on an extremely-small curved surface.

The invention discloses a memristor array based on multimode sensing and a preparation method, and belongs to the field of microelectronic material devices. The structure is composed of a sensor array and a memristor array. The sensor array comprises a sensor array electrode layer and a sensor array piezoresistive layer, and the memristor array comprises a memristor array bottom electrode layer, a memristor array resistive layer and a memristor array top electrode layer; the sensor array and the memristor array are connected through a memristor array top electrode layer electrode. The sensor array receives external pressure signals, and pressure information is learned and understood through memristor current response. Meanwhile, the memristor array resistive layer has good response to light / temperature signals, can simulate the human vision / temperature perception memory process, and provides a basis for realizing a multi-mode function. And potential application prospects are shown in the fields of intelligent robots, electronic skin, artificial intelligence and the like.

The invention provides a stainless steel seamless gas cylinder closing process temperature control system and method based on multi-mode perception, and the method comprises the steps: firstly obtaining material parameters and closing process requirements of a to-be-processed stainless steel seamless gas cylinder, and building an initial temperature control parameter model; in the closing-up process of the gas cylinder, temperature data of different areas of the gas cylinder are collected in real time through a multi-mode temperature sensing module; carrying out preprocessing and feature extraction on the collected temperature data to obtain multi-modal temperature features; the multi-modal temperature characteristics and the material parameters are input into an AI temperature prediction and control model, and optimal temperature control parameters of all the areas are obtained; according to the optimal temperature control parameters, the central control unit is used for controlling the working state of the multi-area cooperative heating device; and the deformation data of the gas cylinder is monitored in real time, and the AI temperature prediction and control model is dynamically adjusted through the material characteristic dynamic compensation module until the gas cylinder necking process is completed. Compared with the prior art, data acquisition is comprehensive, the intelligent level is high, and control is accurate.

The application discloses a structure temperature field inversion method based on a chromatography thought and a regularization constraint principle, and comprises the following steps: arranging temperature measuring points on all unit grid nodes of the peripheral boundary of a wall plate, and constructing a temperature perception observation array; reconstructing a temperature gradient to-be-reconstructed matrix of each unit grid center along X and Y directions by using temperature projection rays, and obtaining a wing wall plate temperature field inversion cloud picture; combining a chromatography principle to construct a temperature gradient unit correlation function matrix, constructing a minimum loss function, and introducing a regularization constraint solution space; substituting temperature values of measuring points extracted from sensor actual measurement or finite element numerical simulation results into the chromatography model, calculating actual temperature gradients corresponding to each unit center position of the structure to be measured, and obtaining theoretical temperature gradient values. The method is helpful to simplify the modeling process, breaks through the limitation that sensors need to be arranged in a structure monitoring blind area in a conventional inversion method, and improves the applicability of a temperature distribution reconstruction process.

The invention relates to a method for controlling a temperature (58) of a vehicle interior (12) of a vehicle (10), wherein the temperature (58) is controlled with a controller (22), in particular a PID controller, by the controller (22) outputting a controller output variable (60) for temperature control of the vehicle interior (12), which is determined at least as a function of the measured temperature (58) of the vehicle interior (12). It is proposed that the controller output variable (60) be fed as an input variable to a fuzzy logic (64), wherein the input variable is smoothed by the fuzzy logic (64) at least as a function of at least one personal temperature sensation value, in particular a PMV value (62), of at least one vehicle occupant (40).

The application discloses a kind of wide temperature range electric energy meter equipment measurement error dynamic digital compensation method, comprising: the measurement error data of equipment under different temperature is collected by temperature perception module, to construct historical temperature-error relationship library;Adaptive compensation model is trained based on historical temperature-error relationship library, to establish the nonlinear mapping relationship of temperature and error;In the real-time running process of equipment, the current equipment temperature is collected by temperature perception module, and the current equipment temperature and real-time load rate are input into adaptive compensation model to obtain error correction amount;According to current equipment temperature and error correction amount, real-time dynamic adjustment measurement result is output to compensate the accurate measurement value after.The application does not need to add temperature sensor, only uses the existing temperature sensing ability of equipment to realize dynamic error correction, can improve the measurement accuracy and stability under wide temperature environment, reduce comprehensive cost, meet the high-precision measurement demand of special environment such as extremely cold, high temperature.

The application discloses a kind of overheating protection methods of network communication equipment, it is related to communication equipment technical field, comprising: in the interior of network communication equipment, according to functional module layout and thermal coupling structure, set multiple temperature perception nodes;During the operation of equipment, control system is based on the historical temperature data collected by temperature perception node, extracts heat dissipation path state parameter, and calculates thermal resistance variation value accordingly;When thermal resistance variation value is greater than the preset thermal resistance degradation threshold value, determine that heat dissipation path exists heat conduction ability decline phenomenon;The application constructs the thermal response perception network based on multiple point temperature perception node, by comprehensively considering functional module layout and thermal coupling structure, the perception accuracy of equipment to different heat source distribution and heat diffusion path is improved, can make control system accurately master the spatial distribution and dynamic change trend of equipment internal thermal state, to provide basic support for subsequent state analysis and risk determination.

The utility model provides a commercial heat preservation barrel, and belongs to the technical field of heat preservation barrels. Comprising an inner cylinder, the outer portion of the inner cylinder is fixedly connected with a first heating film, the heating film is internally provided with a temperature limiting and controlling device with rated action temperature and reset temperature functions, the outer side of the first heating film is wrapped with a heat preservation layer, and a KSD kick temperature controller is connected to one side of the inner cylinder in an inserted mode. The KSD kick temperature controller and the second temperature probe are arranged to sense the temperature in the heat preservation barrel, if the temperature exceeds a threshold value, the device can be powered off, and when heat preservation is conducted, due to the fact that the internal temperature rises, the temperature of a heat preservation object in the barrel is not uniform, and the temperature of the heat preservation object in the barrel is not uniform. Therefore, the temperature probe is installed at the bottom of one side of the inner barrel for sensing, the situation of inaccurate temperature sensing is avoided, water in the barrel can be drained through the anti-blocking head arranged in the inner barrel, flat cables of the temperature probe, the temperature controller and the work indicating lamp can be limited through the wire passing clamping ring, and the temperature probe is prevented from being damaged. And the flat cable is far away from the heating film and is prevented from being damaged by the heating film.

The invention discloses an overheat protection method for network communication equipment, which relates to the technical field of communication equipment and comprises the following steps of: arranging a plurality of temperature sensing nodes in the network communication equipment according to a functional module layout and a thermal coupling structure; in the equipment operation process, a control system extracts heat dissipation path state parameters based on historical temperature data collected by a temperature sensing node, and calculates a thermal resistance change value according to the heat dissipation path state parameters; when the thermal resistance change value is greater than a preset thermal resistance degradation threshold value, determining that the heat conduction capability of the heat dissipation path is reduced; according to the invention, a thermal response sensing network based on multi-point temperature sensing nodes is constructed, and the sensing precision of the equipment on different heat source distributions and thermal diffusion paths is improved by comprehensively considering the functional module layout and a thermal coupling structure, so that a control system can accurately master the spatial distribution and dynamic change trend of the internal thermal state of the equipment, and the reliability of the equipment is improved. Therefore, basic support is provided for subsequent state analysis and risk judgment.