4results about How to "Improve temperature detection accuracy" patented technology

The application discloses a high-temperature-resistant and corrosion-resistant full-temperature-range measuring ceramic temperature sensor and a preparation method thereof, and belongs to the technical field of temperature sensors.The high-temperature-resistant and corrosion-resistant full-temperature-range measuring ceramic temperature sensor comprises an ultrasonic sensing ceramic rod, one end of the ultrasonic sensing ceramic rod is sequentially provided with a crystallization orientation induction layer, a piezoelectric functional layer, a protective layer and a high-temperature-resistant electrode layer from inside to outside, and the piezoelectric functional layer is a (002) oriented columnar crystal AlScCrN coating.The application has the beneficial effect that the ceramic material is applied to temperature detection as a temperature sensor, the shortcomings that a traditional thermocouple has a slow response speed and cannot work in a corrosive environment are avoided, the ceramic temperature sensor can work from a low temperature of liquid nitrogen to a high temperature of 2500 DEG C, and the temperature measurement in a wide temperature range is realized for the first time.

The invention provides a silicon carbide semiconductor device and a method for manufacturing the silicon carbide semiconductor device. A main semiconductor element and a temperature sensor unit (10) for detecting the temperature of the main semiconductor element are provided on a semiconductor base body (101) formed from SiC. The temperature sensing unit (10) is a lateral pn junction diode formed on the polysilicon layer (3), and is provided on the front surface of the semiconductor substrate (101) via an interlayer insulating film (9). A p-type anode region (1) of a temperature sensing unit (10) is formed by ion implantation of B or In into a polysilicon layer (3). An n-type cathode region (2) of a temperature sensing unit (10) is formed by ion implantation of P or Sb into a polysilicon layer (3). The p-type anode region (1) has a sheet resistance at 25 DEG C of 50-170 Omega / sq. The n-type cathode region (2) has a sheet resistance at 25 DEG C of 80-400 Omega / sq. Therefore, the temperature detection accuracy of the temperature sensing part (10) can be improved.

This invention discloses an antibacterial smart sofa fabric with integrated temperature sensing and its control method, belonging to the field of temperature measurement technology. The invention includes the following: an antibacterial fabric base layer loaded with antibacterial particles, forming a double-layer structure and bonded together; a temperature sensing integrated module with a temperature sensor integrated between the fabric base layers; an intelligent control module with a microcontroller as its core, receiving data and outputting control commands; a power supply module including a battery and a wireless charging coil, featuring protection functions and low battery warnings; a human-machine interaction module with a display screen and physical buttons displaying core information; a data storage module using a storage chip to store relevant operational data; and an antibacterial enhancement and control module including atomization and airflow circulation units, automatically activating when antibacterial activity is insufficient. This invention provides stable and long-lasting antibacterial performance, maintaining a long-term antibacterial effect through a dynamic enhancement mechanism. Distributed sensing and environmental compensation design improve measurement reliability, and multimodal interaction is convenient, adapting to different usage scenarios.

The application provides a distributed optical fiber temperature measurement positioning calibration method and system based on Raman effect, relates to the technical field of optical fiber temperature measurement calibration, and comprises the following steps: acquiring a Raman scattered light signal to extract a temperature distribution; performing expansion causal convolution and linear activation to obtain an optical fiber starting point coordinate prediction value; constructing a graph topology structure, constructing an adaptive adjacency matrix based on a temperature gradient, and performing feature extraction; performing lifting wavelet decomposition and adaptive denoising on the graph topology features, and performing registration and calibration after reconstructing a temperature field.