Antibacterial intelligent sofa fabric integrated with temperature sensor and control method thereof

Abstract

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.

Description

Technical Field

[0001] This invention relates to the field of temperature measurement technology, and in particular to an antibacterial smart sofa fabric with integrated temperature sensing and its control method. Background Technology

[0002] As a core piece of furniture in homes and offices, the user experience and health safety of sofa fabrics directly impact user needs. During prolonged contact between the human body and sofa fabric, secretions such as sweat and skin flakes easily breed bacteria, mold, and other microorganisms. While some traditional sofa fabrics employ antibacterial treatments, such as adding nano-silver and zinc oxide, these are mostly static antibacterial designs. Improper loading methods for these antibacterial components can lead to easy shedding, and the antibacterial effect rapidly diminishes with use. Furthermore, the lack of real-time monitoring of antibacterial performance makes it impossible to replenish antibacterial efficacy in a timely manner, compromising long-term antibacterial safety. Simultaneously, changes in environmental temperature and humidity under different usage scenarios, as well as temperature differences arising from human contact, further affect the activity of antibacterial components and the rate of microbial growth. Traditional fabrics lack the ability to adapt to this correlation, resulting in insufficient stability of antibacterial effects.

[0003] Temperature sensing is a crucial dimension for enhancing the sofa user experience. Users' temperature comfort needs adjust according to environmental changes. However, existing sofa fabrics generally lack precise temperature monitoring capabilities. Even sofas with temperature adjustment functions often use external temperature sensors, which are bulky, poorly integrated, and detract from overall comfort and aesthetics when embedded in the fabric. Furthermore, the measurement data is easily affected by environmental interference, resulting in insufficient accuracy. In addition, external sensors have poor adhesion to the fabric, failing to capture real-time temperature distribution differences across different areas, making it difficult to meet users' refined needs for localized temperature adjustment. Moreover, the lack of long-term temperature data storage and analysis capabilities fails to provide data support for adapting to user habits.

[0004] In the current technology field, there is a significant technological gap in the integrated application of temperature sensing and antibacterial functions in sofa fabrics. Some related technologies only achieve antibacterial or temperature monitoring functions independently, without forming a synergistic interaction between the two, and cannot dynamically adjust the antibacterial strategy according to temperature changes. Even the few solutions that attempt to integrate these functions suffer from problems such as reduced fabric flexibility after sensor integration, interference between antibacterial components and sensing elements, and simplistic intelligent control logic. At the same time, most solutions neglect energy consumption optimization and user interaction experience, resulting in short battery life, cumbersome operation, and difficulty in adapting to the long-term use needs of home scenarios, failing to meet the market's upgrade demands for intelligent, healthy, and comfortable sofa fabrics. Summary of the Invention

[0005] This invention proposes an antibacterial smart sofa fabric with integrated temperature sensing and its control method to solve the problems mentioned in the prior art.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: an antibacterial smart sofa fabric with integrated temperature sensing, comprising the following modules: Antibacterial fabric base module: This module uses polyester fiber as the base material and is loaded with nano-silver-zinc oxide composite antibacterial particles through plasma modification treatment. It adopts a double-layer woven structure, with the inner layer having moisture-wicking and breathable properties and the outer layer having antibacterial and wear-resistant properties. The two layers are bonded together with hot melt adhesive dots. Temperature sensing integrated module: This module uses a thin-film platinum resistance temperature sensor, which is integrated between the inner and outer layers of the antibacterial fabric base layer through screen printing. The sensor is evenly arranged and equipped with an independent signal conditioning circuit. Intelligent control module: This module uses an STM32H743 microcontroller as its core, integrates PID control algorithm and data preprocessing unit, receives data collected by temperature sensing module, analyzes it and outputs control commands, and supports serial port and I2C dual protocol communication with other modules. Power supply module: This module includes a rechargeable lithium battery and a wireless charging coil, and integrates overcharge, over-discharge and short circuit protection circuits. The wireless charging coil is embedded in the edge encapsulation strip of the sofa fabric. When the battery level is below 10%, a low battery warning is automatically triggered. Human-computer interaction module: This module includes an OLED touch screen and physical function buttons, which display the current temperature, antibacterial activity rate, and battery information in real time. The physical buttons include a power button, a mode switch button, and a calibration button. It supports Bluetooth connection to a mobile terminal APP to achieve remote operation. Data storage module: This module uses a Flash storage chip to store nearly 90 days of temperature data, antibacterial control records and user operation logs. It supports data retrieval and export by timestamp, and the storage chip adopts a low-power design. Antibacterial Enhancement and Control Module: This module includes a micro antibacterial agent atomizing device and an airflow circulation unit. The atomizing device has a built-in slow-release antibacterial agent storage chamber, and the airflow circulation unit uses a micro fan. When the antibacterial activity rate is detected to be lower than the threshold, atomization and airflow circulation are automatically started.

[0007] Furthermore, it also includes a temperature compensation calibration module. This module has a built-in environmental parameter acquisition unit that simultaneously collects current ambient humidity and air pressure data. It then calculates the accurate calibrated temperature value using a temperature compensation formula, which is: ,in This is the calibrated temperature value; The raw temperature value collected by the temperature sensing integrated module; This is the humidity compensation coefficient; The current ambient relative humidity; Standard reference humidity; This is the air pressure compensation coefficient; Current ambient air pressure; This is the standard reference pressure.

[0008] Furthermore, it also includes a fabric antibacterial performance monitoring module. This module incorporates a colony counting sensor and an ultraviolet spectroscopy detection unit. The colony counting sensor detects the number of viable bacteria on the fabric surface through contact sampling. The ultraviolet spectroscopy detection unit irradiates the fabric surface with 254nm ultraviolet light to detect the intensity of the characteristic absorption peaks of the antibacterial components. The current antibacterial performance is quantified using an antibacterial activity evaluation formula, which is as follows: Where RA represents the antibacterial activity rate; The number of bacterial colonies on the fabric after t time; This represents the initial bacterial count of the fabric before it was used. This is the correction coefficient for the activity of antibacterial components; when RA is below 80%, the intelligent control module automatically triggers the antibacterial enhancement regulation module to start.

[0009] Furthermore, the temperature sensing integrated module adopts a distributed sensing and signal differential amplification design. The sensors are arranged in an interleaved array, and the spacing between adjacent sensors is set differently according to the load characteristics of different areas of the sofa. The signal output terminal of each sensor is connected to a differential amplification circuit, which uses an AD8421 instrumentation amplifier. When the temperature change rate exceeds 0.5℃ / s, the amplification factor and sampling frequency are automatically increased. The sensor surface is covered with a polytetrafluoroethylene insulating coating to adapt to the wear and tear environment of long-term sofa use.

[0010] Furthermore, the intelligent control module incorporates a temperature trend prediction and antibacterial demand matching algorithm. Using nearly 30 minutes of temperature data as input, it predicts the temperature change trend for the next hour through a long short-term memory neural network model. The model's input parameters include the current temperature, the rate of temperature change, and the ambient humidity. The output parameter is the predicted temperature range. By integrating user habit data, a correlation model between temperature and antibacterial activity demand is established. When the predicted temperature is higher than 30℃, the antibacterial activity rate threshold is automatically increased to 85%. When the predicted temperature is lower than 15℃, the start-up delay time of the antibacterial enhancement control module is set to 10 minutes.

[0011] Furthermore, the power supply module adopts a dual-power supply design and is equipped with a USB-C wired charging interface that supports 5V / 2A charging. The module has a built-in energy management unit that monitors the current consumption of each module in real time. When the sofa is unused for more than 30 minutes, it automatically turns off the OLED touch screen and the colony counting sensor, retaining only the low-power operation mode of the temperature sensing integrated module and the intelligent control module. When human contact with the fabric is detected, the full-function mode is automatically activated through a capacitive sensor switch.

[0012] Furthermore, the human-computer interaction module supports multimodal interaction and personalized settings, integrates a voice recognition unit, supports 10 preset voice commands, and the mobile terminal APP supports custom temperature alarm thresholds, antibacterial control cycles, and data sampling interval parameters. The APP generates monthly temperature usage reports and antibacterial performance evaluation reports. Users can remotely upgrade the system firmware through the APP, and the core services continue to run during the upgrade process.

[0013] Furthermore, a method for controlling antibacterial smart sofa fabric with integrated temperature sensing includes the following steps; System initialization steps: The power supply module is started to supply power to each module. The intelligent control module executes a self-test program. If a fault is found, the fault code is displayed through the human-machine interaction module. The temperature compensation and calibration module automatically collects the current ambient humidity and air pressure data to complete the initial calibration of the temperature sensor. Temperature acquisition and processing steps: The temperature sensing integrated module acquires temperature data of each area of ​​the fabric at a preset sampling interval, amplifies the original signal through a differential amplifier circuit, and transmits it to the intelligent control module. The intelligent control module calls the temperature compensation formula to calibrate the original temperature data, and transmits the calibrated temperature data and the average temperature value to the data storage module for storage. Antimicrobial performance monitoring steps: The fabric antimicrobial performance monitoring module performs an antimicrobial performance test once per hour. The colony counting sensor collects samples from the fabric surface, the ultraviolet spectroscopy detection unit detects the residual amount of antimicrobial components, and the intelligent control module calculates the antimicrobial activity rate based on the test data using the antimicrobial activity evaluation formula, determines whether the preset threshold has been reached, and stores the test results and calculation data in the data storage module. Intelligent control steps: The intelligent control module compares the calibrated temperature data with the preset temperature range. When the average temperature is higher than 32℃, the human-machine interaction module issues a high temperature warning, and when it is lower than 10℃, it issues a low temperature warning. Based on the antibacterial activity rate, if it is lower than the threshold, the antibacterial enhancement control module is activated to control the atomizing device to release the antibacterial agent. The airflow circulation unit runs for 5 minutes and then stops. The antibacterial activity rate is checked again until it reaches the threshold. Data storage and update steps: The data storage module stores temperature data, antibacterial test data, and control operation records according to timestamps. When the storage capacity reaches 90%, the earliest 10% of the data is automatically deleted. It supports exporting data for a specified time period through a mobile terminal APP, and the export format is Excel or CSV. Human-computer interaction feedback steps: The human-computer interaction module displays the current average temperature, antibacterial activity rate, and power supply module power in real time. When it detects user operation buttons or APP commands, it executes the corresponding operation and provides feedback on the results. When the user queries historical data, it retrieves the data from the data storage module and displays it on the screen or APP. After the voice command is executed, the operation result is prompted by voice. Sleep and wake-up steps: The power management unit monitors human contact signals in real time. If there is no human contact for more than 30 minutes, the control system enters a low-power sleep mode and shuts down non-core modules. When the capacitive sensor detects human contact, the system automatically wakes up and resumes full-function operation. After waking up, it re-executes the temperature acquisition and antibacterial performance monitoring steps.

[0014] Furthermore, in the temperature acquisition and processing steps, a temperature anomaly diagnosis and sensor fault troubleshooting process has been added. The intelligent control module compares three consecutively acquired data. When the temperature change of a single sensor is too large and significantly different from adjacent data, the fault location is marked and prompted through the human-machine interaction module. The calibrated data is processed using a moving average filtering algorithm.

[0015] Furthermore, in the intelligent control step, the antibacterial control parameters are adjusted according to the temperature trend prediction results. When the predicted temperature is too high, the antibacterial enhancement control module is activated in advance. When the antibacterial activity rate fails to meet the standard in continuous testing, the running time of the atomizing device is extended and the interval between the next test is shortened. When the temperature is in the comfortable range and the antibacterial activity rate meets the standard, the power supply module is controlled to enter the energy-saving mode to balance energy saving and performance.

[0016] Compared with existing technologies, the beneficial effects of this invention are: The base layer of the antibacterial fabric is loaded with nano-silver-zinc oxide composite antibacterial particles after plasma modification. The double-layer woven structure improves the stability of particle loading, effectively reduces the shedding of antibacterial components, and prolongs the basic antibacterial effect. Combined with the fabric antibacterial performance monitoring module and antibacterial enhancement control module, the antibacterial activity rate can be quantified in real time. When the antibacterial efficacy declines, the enhancement program is automatically activated to ensure that the antibacterial effect is stable and reliable during long-term use and avoids the health risks caused by microbial growth.

[0017] The accuracy and adaptability of temperature monitoring have been significantly optimized. A thin-film platinum resistance temperature sensor is integrated into the fabric layers via screen printing, resulting in a thin and highly conforming design that does not compromise the fabric's flexibility or comfort. A distributed array arrangement combined with a differentiated spacing design accurately captures temperature distribution across different areas of the sofa. The temperature compensation calibration module effectively counteracts interference from humidity and air pressure through environmental parameter compensation calculations, improving temperature detection accuracy. The intelligent control module's temperature trend prediction algorithm can anticipate temperature changes, providing a basis for subsequent adjustments and making temperature monitoring more aligned with actual usage scenarios.

[0018] Intelligent control and user experience have been comprehensively upgraded. The intelligent control module constructs a correlation model between temperature and antibacterial activity, dynamically adjusting the antibacterial strategy according to temperature changes for better compatibility. A dual-power supply design, coupled with an energy management unit, ensures long battery life while achieving low-power operation, extending device usage time. The multi-modal human-machine interaction module supports touch, button, voice, and remote APP operation, offering high ease of use and generating data reports for user reference, meeting personalized needs. The overall solution achieves deep synergy between temperature sensing and antibacterial functions, balancing health and safety, user comfort, and intelligent convenience, providing a feasible path for the intelligent upgrade of sofa fabrics and possessing significant practical application value. Attached Figure Description

[0019] Figure 1 This is a schematic block diagram of the antibacterial smart sofa fabric system with integrated temperature sensing proposed in this invention. Figure 2 This is a schematic block diagram of the antibacterial smart sofa fabric control method with integrated temperature sensing proposed in this invention. Figure 3 A bar chart comparing the temperature measurement accuracy of different methods; Figure 4 Line graph showing the change in colony count after antibacterial enhancement regulation. Detailed Implementation

[0020] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] In the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," and "counterclockwise," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0022] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include one or more of the stated features. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified. Furthermore, the terms "installed," "connected," and "linked" should be interpreted broadly; for example, they may refer to a fixed connection, a detachable connection, or an integral connection; they may refer to a mechanical connection or an electrical connection; they may refer to a direct connection or an indirect connection through an intermediate medium; and they may refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances. The invention will now be described in further detail with reference to the accompanying drawings.

[0023] Reference Figures 1 to 4 An antibacterial smart sofa fabric with integrated temperature sensing, comprising the following modules: Antibacterial fabric base module: This module uses polyester fiber as the base material, which is plasma modified and loaded with nano silver-zinc oxide composite antibacterial particles. The particle size is 50-100nm and the loading amount is 2.5%-3.5% of the base material mass. The fabric base adopts a double-layer woven structure. The inner layer is a moisture-absorbing and breathable layer, and the outer layer is an antibacterial and wear-resistant layer. The two layers are bonded together by hot melt adhesive dots with a spacing of 5-8mm. Temperature sensing integrated module: This module uses a thin-film platinum resistance temperature sensor with a thickness of ≤0.3mm. It is integrated between the inner and outer layers of the antibacterial fabric base layer through screen printing. The sensors are evenly arranged with a horizontal spacing of 10cm and a vertical spacing of 15cm along the fabric. Each sensor is equipped with an independent signal conditioning circuit. The measurement range is 0-60℃, the accuracy is ±0.1℃, and it supports multi-channel synchronous data acquisition. Intelligent control module: This module uses an STM32H743 microcontroller as its core, integrating a PID control algorithm and a data preprocessing unit. It receives data collected by the temperature sensing integrated module, analyzes it, and outputs control commands. The microcontroller has a main frequency of ≥400MHz, a data processing delay of ≤50ms, and supports serial and I2C dual-protocol communication with other modules. Power supply module: This module includes a rechargeable lithium battery and a wireless charging coil. The lithium battery has a capacity of 2000mAh and an operating voltage of 3.7V. It integrates overcharge, over-discharge, and short-circuit protection circuits. The wireless charging coil is embedded in the encapsulation strip on the edge of the sofa fabric. It supports 5W wireless fast charging with a charging efficiency of ≥85%. It automatically triggers a low battery warning when the battery level is below 10%. Human-computer interaction module: This module includes an OLED touch screen and physical function buttons. The screen is 3.5 inches in size with a resolution of 480×320. It displays the current temperature, antibacterial activity rate, and battery information in real time. The physical buttons include a power button, a mode switch button, and a calibration button. It supports Bluetooth connection to a mobile terminal APP for remote operation. Data storage module: This module uses a 16GB Flash storage chip to store nearly 90 days of temperature data, antibacterial control records, and user operation logs. The data sampling interval can be adjusted within the range of 1-60 seconds. It supports data retrieval and export by timestamp. The storage chip adopts a low-power design, with a standby power consumption of ≤1mA. Antibacterial Enhancement and Control Module: This module includes a micro antibacterial agent atomizing device and an airflow circulation unit. The atomizing device has a built-in slow-release antibacterial agent storage chamber with a capacity of 100mL. The airflow circulation unit uses a micro fan with adjustable wind speed. When the antibacterial activity rate is detected to be lower than the threshold, atomization and airflow circulation are automatically started to enhance the antibacterial effect.

[0024] This invention also includes a temperature compensation calibration module, which is electrically connected to the temperature sensing integration module and the intelligent control module. This module is used to counteract the interference of ambient humidity and air pressure on temperature measurement. The temperature compensation calibration module has a built-in environmental parameter acquisition unit that synchronously collects current ambient humidity and air pressure data. The calibrated accurate temperature value is calculated using a temperature compensation formula, which is: ,in The temperature value is after calibration, and the unit is °C. The raw temperature value collected by the temperature sensing integrated module, in °C; The humidity compensation coefficient ranges from 0.002 to 0.005℃ / RH%, and is determined by the thermal conductivity of the fabric material. The current ambient relative humidity is expressed in RH%; The standard reference humidity is 50% RH%. This is the air pressure compensation coefficient, with a value ranging from 0.001 to 0.003℃ / kPa, calibrated by the sensor installation depth; The current ambient air pressure is expressed in kPa. The standard reference pressure is set at 101.3 kPa, and the temperature measurement error is controlled within ±0.05℃, thus improving the accuracy of temperature detection.

[0025] This invention also includes a fabric antibacterial performance monitoring module. This module is communicatively connected to the antibacterial fabric base layer module and the intelligent control module. The module incorporates a colony counting sensor and an ultraviolet spectroscopy detection unit. The colony counting sensor detects the number of viable bacteria on the fabric surface through contact sampling. The ultraviolet spectroscopy detection unit irradiates the fabric surface with 254nm ultraviolet light to detect the intensity of the characteristic absorption peaks of the antibacterial components. The current antibacterial performance is quantified using an antibacterial activity evaluation formula, which is: RA represents the antibacterial activity rate, expressed as a percentage (%). The number of bacterial colonies on the fabric after t time is expressed in CFU / cm². The initial bacterial count of the fabric before use is expressed in CFU / cm². The antibacterial activity correction coefficient ranges from 0.95 to 1.05 and is determined by the residual amount of antibacterial components detected by ultraviolet spectroscopy. When RA is below 80%, the intelligent control module automatically triggers the antibacterial enhancement regulation module to maintain the fabric's continuous antibacterial performance.

[0026] In this invention, the temperature sensing integrated module adopts a distributed sensing and signal differential amplification design. The sensors are arranged in an interleaved array, and the spacing between adjacent sensors is set differently according to the load characteristics of different areas of the sofa. The spacing between sensors in the sitting area is 8cm, the spacing in the backrest area is 12cm, and the spacing in the armrest area is 15cm. The signal output terminal of each sensor is connected to a differential amplification circuit. The circuit uses an AD8421 instrumentation amplifier, and the amplification factor can be adaptively adjusted within the range of 10-1000 times. When the detected temperature change rate exceeds 0.5℃ / s, the amplification factor and sampling frequency are automatically increased. The sensor surface is covered with a polytetrafluoroethylene insulating coating with a coating thickness of 0.05mm and a friction resistance of ≥50,000 times, which is suitable for the wear environment of long-term sofa use.

[0027] In this invention, the intelligent control module incorporates a temperature trend prediction and antibacterial demand matching algorithm. The algorithm takes temperature data from the past 30 minutes as input and uses a long short-term memory neural network model to predict the temperature change trend for the next hour. The model input parameters include the current temperature, the rate of temperature change, and the ambient humidity. The output parameter is the predicted temperature range. By integrating user habit data, a correlation model between temperature and antibacterial activity demand is established. When the predicted temperature is higher than 30°C, the antibacterial activity rate threshold is automatically increased to 85%. When the predicted temperature is lower than 15°C, the start-up delay time of the antibacterial enhancement control module is set to 10 minutes, thereby achieving dynamic matching between temperature and antibacterial performance.

[0028] In this invention, the power supply module adopts a dual-power supply design. In addition to the rechargeable lithium battery and wireless charging coil, it is also equipped with a USB-C wired charging interface, which supports 5V / 2A charging. The module has a built-in power management unit that monitors the current consumption of each module in real time. When the sofa is unused for more than 30 minutes, the OLED touch screen and colony counting sensor are automatically turned off, and only the temperature sensing integrated module and the intelligent control module are kept in low-power operation mode. At this time, the total power consumption of the system is ≤5mA. When human contact with the fabric is detected, the full-function mode is automatically woken up through the capacitive induction switch, and the wake-up response time is ≤100ms.

[0029] In this invention, the human-computer interaction module supports multimodal interaction and personalized settings. In addition to the OLED touch screen and physical buttons, it also integrates a voice recognition unit, supporting 10 preset voice commands such as "query temperature" and "start antibacterial". The recognition accuracy is ≥92%. The mobile terminal APP supports custom temperature alarm threshold, antibacterial control cycle, and data sampling interval parameters. The APP generates monthly temperature usage reports and antibacterial performance evaluation reports. The reports include temperature change curves, antibacterial activity rate change trends, and energy consumption statistics. Users can remotely upgrade the system firmware through the APP, and the core services continue to run during the upgrade process.

[0030] This invention includes the following steps; System initialization steps: The power supply module is started to supply power to each module. The intelligent control module executes a self-test program to detect the working status of core modules such as the temperature sensing integration module, antibacterial enhancement and regulation module, and data storage module. If a fault is found, the fault code is displayed through the human-machine interaction module. The temperature compensation and calibration module automatically collects the current ambient humidity and air pressure data to complete the initial calibration of the temperature sensor. The initialization process takes ≤3 seconds. Temperature acquisition and processing steps: The temperature sensing integrated module acquires temperature data of each area of ​​the fabric at a preset sampling interval. The original signal is amplified and processed by the differential amplifier circuit and transmitted to the intelligent control module. The intelligent control module calls the temperature compensation formula to calibrate the original temperature data, removes abnormal data, calculates the average temperature of each area of ​​the fabric, and transmits the calibrated temperature data and the average temperature value to the data storage module for storage. Antimicrobial performance monitoring steps: The fabric antimicrobial performance monitoring module performs an antimicrobial performance test once per hour. The colony counting sensor collects samples from the fabric surface, the ultraviolet spectroscopy detection unit detects the residual amount of antimicrobial components, and the intelligent control module calculates the antimicrobial activity rate based on the test data using the antimicrobial activity evaluation formula, determines whether the preset threshold has been reached, and stores the test results and calculation data in the data storage module. Intelligent control steps: The intelligent control module compares the calibrated temperature data with the preset temperature range. When the average temperature is higher than 32℃, the human-machine interaction module issues a high temperature warning, and when it is lower than 10℃, it issues a low temperature warning. Based on the antibacterial activity rate, if it is lower than the threshold, the antibacterial enhancement control module is activated to control the atomizing device to release the antibacterial agent. The airflow circulation unit runs for 5 minutes and then stops. The antibacterial activity rate is checked again until it reaches the threshold. Data storage and update steps: The data storage module stores temperature data, antibacterial test data, and control operation records according to timestamps. When the storage capacity reaches 90%, the earliest 10% of the data is automatically deleted. It supports exporting data for a specified time period through a mobile terminal APP. The export format is Excel or CSV. The data export process does not affect real-time data acquisition. Human-computer interaction feedback steps: The human-computer interaction module displays the current average temperature, antibacterial activity rate, and power supply module power in real time. When it detects user operation buttons or APP commands, it executes the corresponding operation and provides feedback on the results. When the user queries historical data, it retrieves the data from the data storage module and displays it on the screen or APP. After the voice command is executed, the operation result is prompted by voice. Sleep and wake-up steps: The power management unit monitors human contact signals in real time. If there is no human contact for more than 30 minutes, the control system enters a low-power sleep mode and shuts down non-core modules. When the capacitive sensor detects human contact, the system automatically wakes up and resumes full-function operation. After waking up, it re-executes the temperature acquisition and antibacterial performance monitoring steps.

[0031] In this invention, a temperature anomaly diagnosis and sensor fault troubleshooting process is added to the temperature acquisition and processing steps. The intelligent control module compares three consecutively acquired temperature data. If the temperature change of a single sensor exceeds 2°C and differs significantly from the data of adjacent sensors, the sensor is judged to be potentially faulty. The location of the faulty sensor is marked and prompted through the human-machine interaction module. A moving average filtering algorithm is used to process the calibrated temperature data with a filtering window size of 5 to further reduce measurement noise and control the fluctuation range of the average temperature within ±0.1°C, thereby improving the stability and reliability of the temperature data. The fault troubleshooting process does not affect the normal data acquisition and processing of other sensors.

[0032] In this invention, during the intelligent control step, the antibacterial enhancement control strategy and temperature linkage mechanism are optimized. The intelligent control module adjusts the antibacterial control parameters based on the output of the temperature trend prediction model. When the predicted temperature is higher than 30°C, the antibacterial enhancement control module is activated 15 minutes in advance to increase the antibacterial activity rate to 85% and maintain it. When the antibacterial activity rate is below 75% for three consecutive tests, the running time of the atomizing device is extended to 8 minutes, while the interval between the next test is reduced to 30 minutes. When the temperature is in the comfortable range of 20-28°C and the antibacterial activity rate meets the standard, the power supply module is controlled to enter the energy-saving mode to reduce the power consumption of each module and achieve a balance between energy saving and performance. This control mechanism reduces the consumption of antibacterial agent by 15% and maintains the antibacterial effect at the standard.

[0033] The following two examples further illustrate specific embodiments of the present invention: Example 1: Implementation of antibacterial smart sofa fabric with integrated temperature sensing in a home setting. This embodiment applies to a three-seater sofa in a family living room setting. The sofa has an overall length of 220cm, a width of 90cm, and a height of 85cm, with a fabric coverage area of ​​approximately 4.5㎡. In this scenario, users experience high frequency of use and prolonged contact, thus requiring high levels of antibacterial durability, temperature comfort, and ease of use from the sofa fabric. This embodiment strictly adheres to the technical solution, refining the implementation of each module to achieve the coordinated operation of temperature sensing and antibacterial functions, ensuring a superior user experience and health safety.

[0034] Implementation of antibacterial fabric base module The antibacterial fabric base layer uses polyester fiber as the substrate and is first subjected to plasma modification treatment. During the modification process, the plasma treatment power is set to 300W, the treatment time is 15s, and the treatment gas is a mixture of argon and oxygen with a volume ratio of 4:1. The plasma bombardment creates a micron-level rough structure on the substrate surface, improving the loading stability of subsequent antibacterial particles. Subsequently, nano-silver-zinc oxide composite antibacterial particles are dispersed in deionized water to prepare an antibacterial dispersion with a mass concentration of 5%. The substrate is immersed in the dispersion using a padding method, with the padding pressure controlled at 0.3MPa and the roll-off rate at 60%. After drying at 120℃ for 20min, the loading is completed. The final test shows that the composite antibacterial particle loading is 3.0% of the substrate mass, and the particle size distribution is between 50-100nm.

[0035] The fabric base layer employs a double-layer woven structure. The inner moisture-wicking and breathable layer is made of 16tex polyester fiber, woven in a plain weave with a warp and weft density of 280 threads / 10cm × 260 threads / 10cm to ensure moisture absorption and breathability. The outer antibacterial and abrasion-resistant layer is made of 21tex polyester fiber, woven in a twill weave with a warp and weft density of 320 threads / 10cm × 300 threads / 10cm to enhance abrasion resistance. After the two layers are woven, they are bonded together using a hot melt adhesive bonding process. Ethylene-vinyl acetate copolymer hot melt adhesive is used, with the bonding points arranged in a diamond pattern at a spacing of 6mm. The bonding temperature is 150℃, and the pressure is 0.2MPa, ensuring a strong bond between the two layers without affecting the overall flexibility of the fabric.

[0036] Temperature sensing integrated module implementation The temperature sensing module uses a thin-film platinum resistance temperature sensor with a thickness controlled at 0.25mm. It is integrated between the inner and outer layers of the antibacterial fabric base layer through a screen printing process. Before screen printing, a 0.03mm thick insulating primer is applied to the surface of the inner layer of the fabric and cured at 100℃ for 10 minutes. The sensors are evenly distributed along the fabric with a horizontal spacing of 10cm and a vertical spacing of 15cm. Different spacing designs are used in the sofa's seating area, backrest area, and armrest area: 8cm for the sensors in the seating area, 12cm for the backrest area, and 15cm for the armrest area. A total of 32 sensors are arranged in the entire three-seater sofa.

[0037] Each sensor is equipped with an independent signal conditioning circuit, which includes a signal filtering unit and a differential amplification unit. The differential amplification unit uses an instrumentation amplifier, and the amplification factor can be adaptively adjusted within the range of 10-1000 times. The sensor surface is covered with a polytetrafluoroethylene insulating coating, which is prepared by a spraying process and has a thickness of 0.05mm. After wear resistance testing, it withstands more than 50,000 abrasion cycles. The module supports multi-channel synchronous data acquisition, and the acquisition frequency can be adaptively adjusted according to the temperature change rate. When the detected temperature change rate exceeds 0.5℃ / s, the sampling frequency is increased from 1Hz to 10Hz, and the amplification factor is increased to 500 times to ensure rapid capture of temperature change details.

[0038] Implementation of other core modules The intelligent control module uses a microcontroller as its core, with a main frequency set at 400MHz, and integrates a PID control algorithm and a data preprocessing unit. The module connects to the temperature sensing integration module and the antibacterial enhancement and control module via both serial port and I2C protocols, respectively, with data processing latency controlled within 50ms. The module incorporates a temperature trend prediction algorithm using a long short-term memory neural network model. The model is trained on nearly 3000 sets of temperature data, with input parameters including current temperature, temperature change rate, and ambient humidity, and outputs the temperature change range for the next hour.

[0039] The power supply module uses a combination of a rechargeable lithium battery and a wireless charging coil. The lithium battery has a capacity of 2000mAh, an operating voltage of 3.7V, and integrates overcharge, over-discharge, and short-circuit protection circuits. The wireless charging coil is embedded in the encapsulation strip on the edge of the sofa fabric, with 100 turns, supporting 5W wireless fast charging and achieving a charging efficiency of 85%. The module is also equipped with a USB-C wired charging port, supporting 5V / 2A charging, and has a built-in power management unit that monitors the current consumption of each module in real time.

[0040] The human-computer interaction module features a 3.5-inch OLED touchscreen display with a resolution of 480×320, showing real-time temperature, antibacterial activity rate, and battery information. Physical function buttons are located on the side of the sofa, including a power button, mode switch button, and calibration button; these buttons are waterproof. The module integrates a voice recognition unit, supporting 10 preset voice commands with a recognition accuracy of 92%. It also supports Bluetooth connection to a mobile app for remote operation and data viewing.

[0041] The data storage module uses a 16GB Flash memory chip to store nearly 90 days of temperature data, antibacterial control records, and user operation logs, with a data sampling interval set to 10 seconds. The memory chip features a low-power design, with standby power consumption controlled below 1mA. It supports data retrieval by timestamp, and historical data can be exported in Excel or CSV format via an app.

[0042] The antibacterial enhancement and control module includes a micro antibacterial agent atomizing device and an airflow circulation unit. The atomizing device has a built-in 100mL slow-release antibacterial agent storage chamber, using nano-silver ion slow-release solution as the antibacterial agent. The airflow circulation unit uses a micro fan with adjustable speeds of high, medium, and low. The module communicates with the intelligent control module, receiving start and stop commands. The atomization rate is 0.5mL / min during operation.

[0043] The temperature compensation calibration module and the antibacterial performance monitoring module are implemented simultaneously as auxiliary modules. The temperature compensation calibration module has a built-in environmental parameter acquisition unit that simultaneously collects environmental humidity and air pressure data, and calculates the calibrated temperature value using a temperature compensation formula. The antibacterial performance monitoring module has a built-in colony counting sensor and an ultraviolet spectroscopy detection unit that performs antibacterial performance testing every hour, and calculates the antibacterial activity rate using an antibacterial activity evaluation formula.

[0044] Formula application and control process In the application of the temperature compensation formula, the raw temperature data from the sensor at the center of the sofa seating area is selected for calculation. At a certain moment, the raw temperature value collected by the temperature sensing integrated module is 25.3℃, and the current relative humidity collected by the environmental parameter acquisition unit is 60%RH, and the current ambient air pressure is 100.8kPa. According to the temperature compensation formula: in The temperature value is after calibration, and the unit is °C. This is the original temperature value, in °C. Take 0.003℃ / RH% The current ambient relative humidity is expressed in RH%; 50%RH% Take 0.002℃ / kPa; The current ambient air pressure is expressed in kPa. The value is 101.3 kPa. Substituting this into the calculation, we get: =25.3-0.003×(60-50)-0.002×(100.8-101.3) =25.3-0.03+0.001=25.271℃ The calibrated temperature value is closer to the actual temperature.

[0045] In the application of the antimicrobial activity evaluation formula, the initial colony count of the unused fabric is 5 CFU / cm². After 30 days of use, a sample was collected from the fabric surface, and the colony count was measured to be 0.8 CFU / cm². The correction factor k corresponding to the residual antimicrobial component detected by ultraviolet spectroscopy is taken as 1.02. According to the antimicrobial activity evaluation formula: Where RA represents the antibacterial activity rate, expressed as % The number of colonies after time t is expressed in CFU / cm². The initial colony count is expressed in CFU / cm². This is the correction coefficient for the antibacterial activity. Substituting into the calculation, we get: RA = (1 - 0.8 / 5) × 100 × 1.02 = (1 - 0.16) × 100 × 1.02 = 84 × 1.02 = 85.68%, reaching the preset threshold, so there is no need to activate the antibacterial enhancement control module. After 60 days of use, the colony count was measured to be 1.2 CFU / cm², and k was taken as 0.98. The calculation yielded: RA = (1 - 1.2 / 5) × 100 × 0.98 = 76 × 0.98 = 74.48%, which is lower than the 80% threshold. The intelligent control module automatically triggered the antibacterial enhancement control module to start. The atomizing device and airflow circulation unit ran for 5 minutes and then stopped. The antibacterial activity rate was then tested again and found to have increased to 86.32%.

[0046] Implementation effect data representation Table 1 Comparison of performance indicators before and after system implementation in Example 1

[0047] Table 1 shows data from three months of operational monitoring following the implementation of the sofa fabric in this home setting. It covers core indicators such as antibacterial performance, temperature monitoring, energy consumption, and response speed. Before implementation, the antibacterial activity rate of traditional antibacterial sofa fabric was only 70%, and dropped below 60% after three months. After implementation, through optimized design of the antibacterial fabric base layer and dynamic intervention of the antibacterial enhancement control module, the antibacterial activity rate was stably maintained above 85%, with the duration extended to over six months, fully validating the effectiveness of the basic antibacterial-real-time monitoring-dynamic enhancement closed-loop system. Temperature measurement accuracy improved from ±0.3℃ with the external sensor before implementation to ±0.05℃, thanks to the environmental interference cancellation effect of the temperature compensation calibration module, accurately capturing subtle temperature changes caused by human contact. System standby power consumption decreased from 15mA to 5mA, demonstrating the low-power design advantage of the energy management unit and meeting the long-term standby requirements of a home setting. Temperature response time was shortened from 1s to 0.1s; distributed sensing and differential amplification design ensured rapid capture of temperature changes, improving the timeliness of user temperature perception.

[0048] Example 2: Implementation of antibacterial smart sofa fabric with integrated temperature sensing in an office setting. This embodiment is applicable to multi-seat sofas in office conference rooms. The sofa has an overall length of 300cm, a width of 85cm, and a height of 80cm, with a fabric coverage area of ​​approximately 5.5㎡. In this scenario, there is high user traffic and a high risk of cross-contamination by microorganisms, placing significant demands on the antibacterial strength, temperature monitoring stability, and battery life of the sofa fabric. This embodiment, based on a technical solution, optimizes module parameters for the characteristics of the office environment, enhances antibacterial control and energy management capabilities, and achieves stable operation under multi-user conditions.

[0049] Implementation of antibacterial fabric base module The antibacterial fabric base layer also uses polyester fiber as the substrate. The plasma modification treatment power is increased to 350W, the treatment time is 20s, and the oxygen content in the mixed gas is increased to 30%, which increases the surface roughness of the substrate and improves the adhesion of antibacterial particles. The mass concentration of the antibacterial dispersion is adjusted to 6%, the padding pressure is 0.35MPa, the roll-off rate is 55%, and it is dried at 130℃ for 18min. Finally, the loading of composite antibacterial particles is controlled at 2.5% of the substrate mass, and the particle size is 50-80nm, balancing the antibacterial effect and the fabric's flexibility.

[0050] The inner moisture-wicking and breathable layer is made of 18tex polyester fiber with a plain weave and a warp and weft density of 270 threads / 10cm × 250 threads / 10cm. The outer antibacterial and abrasion-resistant layer is made of 24tex polyester fiber with a satin weave and a warp and weft density of 340 threads / 10cm × 320 threads / 10cm. The satin weave further enhances the fabric's abrasion resistance. The hot melt adhesive dots are spaced 5mm apart in a square pattern, with a bonding temperature of 160℃ and a pressure of 0.25MPa, enhancing the bond strength between the two layers. This design is suitable for the high-frequency wear and tear required in office settings, and the fabric has been tested to withstand over 80,000 abrasion cycles.

[0051] Temperature sensing integrated module implementation A thin-film platinum resistance temperature sensor with a thickness of 0.28mm was used. The thickness of the insulating adhesive before screen printing was increased to 0.04mm, and it was cured by drying at 110℃ for 8 minutes to improve insulation performance and adapt to the complex environment of office scenarios. The overall sensor arrangement density is higher than that of Example 1, with a horizontal spacing of 10cm and a vertical spacing of 12cm. The spacing in the sitting area, backrest area, and armrest area is 7cm, 10cm, and 14cm, respectively, with a total of 45 sensors, covering all high-frequency contact areas of the sofa.

[0052] The differential amplification unit of the signal conditioning circuit maintains an amplification factor adjustment range of 10-1000 times. When the temperature change rate exceeds 0.5℃ / s, the sampling frequency is increased to 15Hz, and the amplification factor is adjusted to 600 times, enabling a faster response to temperature fluctuations caused by multiple users alternating between use. The sensor's insulating coating adopts a double-layer spraying process with a total thickness of 0.05mm. After the first layer is sprayed, it is dried at 80℃ for 5 minutes, and then the second layer is sprayed and dried. The abrasion resistance test reaches 55,000 cycles, making it suitable for high-frequency use in office scenarios.

[0053] Implementation of other core modules The microcontroller in the intelligent control module has its main frequency increased to 450MHz, and data processing latency is controlled within 40ms, ensuring efficient synchronous processing of multi-sensor data. The temperature trend prediction model now includes personnel contact frequency as an input parameter, collected via a capacitive sensing switch. This makes the prediction results more suitable for the flow of people in an office environment. When the predicted temperature exceeds 30℃, the antibacterial activity threshold is automatically increased to 85%, initiating antibacterial enhancement preparation in advance.

[0054] The power supply module's lithium battery capacity has been increased to 2500mAh, the wireless charging coil turns have been increased to 120, and the charging efficiency has been improved to 88%. The USB-C wired charging port supports 5V / 2.5A fast charging, shortening charging time. The power management unit has optimized its sleep strategy; if the device is not in use for more than 20 minutes, it will turn off the display and the colony counting sensor, entering a low-power mode. In this mode, the total system power consumption is controlled at 4.5mA, and the wake-up response time when human contact is detected is ≤80ms, adapting to the intermittent use characteristics of office scenarios.

[0055] The human-computer interaction module maintains a 3.5-inch display and adds a shortcut button for meeting mode. When pressed, the system automatically increases the temperature sampling frequency and antibacterial detection frequency, while disabling voice prompts to avoid interference. The voice recognition unit adds a silent mode command, improving recognition accuracy to 94%. The APP adds a batch data export function, supporting the export of summary data for the past 30 days, adapting to the management needs of office scenarios.

[0056] The data storage module uses a 32GB Flash storage chip, capable of storing 120 days of operational data. The default data sampling interval is 5 seconds, which can be adjusted by administrators via an app to 1-60 seconds. The storage chip incorporates data encryption, allowing only authorized accounts to view operation logs, ensuring data security in office scenarios. Standby power consumption is ≤0.8mA.

[0057] The antibacterial enhancement control module maintains a 100mL storage tank for its atomizing device, using a high-concentration nano-silver-zinc oxide composite slow-release antibacterial agent, increasing the atomization rate to 0.6mL / min. The airflow circulation unit employs a dual-micro-fan design, increasing the airflow speed by 30% to ensure rapid and even coverage of the fabric surface with the antibacterial agent. The module also features a new timed enhancement function, which can be set to activate at a fixed time each day via an app, catering to the disinfection needs of office workers after get off work.

[0058] The environmental parameter acquisition frequency of the temperature compensation calibration module has been increased to once per second to ensure rapid response to temperature and humidity fluctuations caused by the start and stop of the conference room air conditioning; the detection interval of the antibacterial performance monitoring module has been shortened to 40 minutes, and a manual detection button has been added to manually trigger detection before and after the meeting to strengthen the prevention and control of cross-contamination.

[0059] Formula application and control process In the application of the temperature compensation formula, data from the center sensor in the backrest area of ​​the conference room sofa is selected for calculation. At a certain moment, the original temperature is 24.8℃, the ambient humidity is 45% RH%, and the air pressure is 101.5 kPa. k1 is taken as 0.004℃ / RH%, and k2 as 0.003℃ / kPa. According to the temperature compensation formula: Substituting, we get: =24.8-0.004×(45-50)-0.003×(101.5-101.3)=24.8+0.02-0.0006=24.8194℃ After calibration, the interference of the sudden drop in humidity caused by the start and stop of the air conditioner on the measurement is eliminated.

[0060] In the application of the antimicrobial activity evaluation formula, the initial colony count was 5 CFU / cm². After 15 days of high-frequency use at the conference, the colony count reached 1.0 CFU / cm², and UV detection yielded k=1.03. The calculated RA = (1-1.0 / 5)×100×1.03 = 80×1.03 = 82.4%, approaching the threshold, prompting the system to issue a warning. After 20 days of use, the colony count reached 1.3 CFU / cm², k=0.97. The calculated RA = (1-1.3 / 5)×100×0.97 = 74×0.97 = 71.78%, triggering antimicrobial enhancement. After 8 minutes of operation of the nebulizer, the colony count was 0.6 CFU / cm². The calculated RA = (1-0.6 / 5)×100×1.01 = 88×1.01 = 88.88%, indicating a return to a safe level.

[0061] Implementation effect data representation Table 2 Comparison of performance indicators before and after system implementation in Example 2

[0062] Table 2 data comes from four months of operational monitoring after the implementation of the office sofa fabric, focusing on core needs in office scenarios such as antibacterial properties, abrasion resistance, and battery life. Before implementation, the antibacterial activity rate of traditional office sofa fabric was only 65%, dropping to 55% after one month of high-frequency use. After implementation, through the design of high-concentration antibacterial agents and shortened testing intervals, the antibacterial activity rate stabilized at over 85%, effectively reducing the risk of cross-contamination. The fabric abrasion resistance increased from 50,000 cycles to 80,000 cycles, adapting to the usage characteristics of high personnel mobility. The battery life on a single charge increased from 3 days to 7 days, with the low-power design and large-capacity battery working together to meet the long-term use needs of office scenarios. The antibacterial enhancement response time was shortened from 3 seconds to 1 second, quickly responding to the decline in antibacterial efficacy caused by high-frequency use, ensuring that the fabric's antibacterial performance meets standards before each use, and fully adapting to the usage characteristics of office scenarios.

[0063] Reference Figure 3The bar chart visually compares the differences in temperature measurement accuracy among different solutions. Traditional external sensors are affected by factors such as installation position offset and environmental temperature and humidity interference, resulting in a measurement accuracy of only ±0.4℃ in office scenarios and ±0.3℃ in home scenarios. The accuracy of ordinary integrated sensors on the market is only ±0.2℃. In contrast, both embodiments of this invention achieve a high-precision measurement of ±0.05℃. The core reason is that the temperature sensing integrated module uses a thin-film platinum resistance sensor, which is directly integrated into the fabric layer through a screen printing process, resulting in a higher degree of fit with the fabric and avoiding installation errors of external sensors. At the same time, the temperature compensation calibration module can collect environmental humidity and air pressure data and correct the measured value through a compensation formula to offset external environmental interference. The adaptive adjustment of the differential amplifier circuit also improves the signal acquisition accuracy.

[0064] Reference Figure 4 The line graph reflects the changing trend of colony count during the antibacterial enhancement regulation process. Before regulation, the colony counts in Examples 1 and 2 were 1.2 CFU / cm² and 1.3 CFU / cm², respectively, both higher than the antibacterial safety threshold of 0.8 CFU / cm². After regulation was initiated, the colony count decreased rapidly. In Example 1, it dropped to 0.6 CFU / cm² after 6 minutes and remained stable. In Example 2, due to the increased atomization rate of the atomizing device to 0.6 mL / min and the higher airflow circulation efficiency of the dual micro-fans, the colony count dropped to 0.5 CFU / cm² after 8 minutes. This indicates that the antibacterial enhancement regulation module of the present invention can quickly and effectively reduce the colony count on the fabric surface. Example 2, targeting the characteristics of high personnel flow and high risk of cross-contamination in office settings, optimized the parameters of the atomizing device and airflow circulation unit, resulting in higher regulation efficiency and the ability to reduce the colony count to a safe range in a short time.

[0065] The above are merely preferred embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. An antibacterial smart sofa fabric with integrated temperature sensing, characterized in that, Includes the following modules: Antibacterial fabric base module: This module uses polyester fiber as the base material and is loaded with nano-silver-zinc oxide composite antibacterial particles through plasma modification treatment. It adopts a double-layer woven structure, with the inner layer having moisture-wicking and breathable properties and the outer layer having antibacterial and wear-resistant properties. The two layers are bonded together with hot melt adhesive dots. Temperature sensing integrated module: This module uses a thin-film platinum resistance temperature sensor, which is integrated between the inner and outer layers of the antibacterial fabric base layer through screen printing. The sensor is evenly arranged and equipped with an independent signal conditioning circuit. Intelligent control module: This module uses an STM32H743 microcontroller as its core, integrates PID control algorithm and data preprocessing unit, receives data collected by temperature sensing module, analyzes it and outputs control commands, and supports serial port and I2C dual protocol communication with other modules. Power supply module: This module includes a rechargeable lithium battery and a wireless charging coil, and integrates overcharge, over-discharge and short circuit protection circuits. The wireless charging coil is embedded in the edge encapsulation strip of the sofa fabric. When the battery level is below 10%, a low battery warning is automatically triggered. Human-computer interaction module: This module includes an OLED touch screen and physical function buttons, which display the current temperature, antibacterial activity rate, and battery information in real time. The physical buttons include a power button, a mode switch button, and a calibration button. It supports Bluetooth connection to a mobile terminal APP to achieve remote operation. Data storage module: This module uses a Flash storage chip to store nearly 90 days of temperature data, antibacterial control records and user operation logs. It supports data retrieval and export by timestamp, and the storage chip adopts a low-power design. Antibacterial Enhancement and Control Module: This module includes a micro antibacterial agent atomizing device and an airflow circulation unit. The atomizing device has a built-in slow-release antibacterial agent storage chamber, and the airflow circulation unit uses a micro fan. When the antibacterial activity rate is detected to be lower than the threshold, atomization and airflow circulation are automatically started.

2. The antibacterial smart sofa fabric with integrated temperature sensing according to claim 1, characterized in that, It also includes a temperature compensation calibration module, which has a built-in environmental parameter acquisition unit that simultaneously collects current ambient humidity and air pressure data. The module then calculates the accurate calibrated temperature value using a temperature compensation formula, which is: ,in This is the calibrated temperature value; The raw temperature value collected by the temperature sensing integrated module; This is the humidity compensation coefficient; The current ambient relative humidity; Standard reference humidity; This is the air pressure compensation coefficient; Current ambient air pressure; This is the standard reference pressure.

3. The antibacterial smart sofa fabric with integrated temperature sensing according to claim 1, characterized in that, It also includes a fabric antibacterial performance monitoring module, which incorporates a colony counting sensor and an ultraviolet spectroscopy detection unit. The colony counting sensor detects the number of viable bacteria on the fabric surface through contact sampling, while the ultraviolet spectroscopy detection unit detects the intensity of the characteristic absorption peaks of antibacterial components by irradiating the fabric surface with 254nm ultraviolet light. The current antibacterial performance is quantified using an antibacterial activity evaluation formula, which is as follows: Where RA represents the antibacterial activity rate; The number of bacterial colonies on the fabric after t time; This represents the initial bacterial count of the fabric before it was used. This is the correction coefficient for the activity of antibacterial components; when RA is below 80%, the intelligent control module automatically triggers the antibacterial enhancement regulation module to start.

4. The antibacterial smart sofa fabric with integrated temperature sensing according to claim 1, characterized in that, The temperature sensing integrated module adopts a distributed sensing and signal differential amplification design. The sensors are arranged in an interleaved array, and the spacing between adjacent sensors is set differently according to the load characteristics of different areas of the sofa. The signal output terminal of each sensor is connected to a differential amplification circuit, which uses an AD8421 instrumentation amplifier. When the detected temperature change rate exceeds 0.5℃ / s, the amplification factor and sampling frequency are automatically increased. The sensor surface is covered with a polytetrafluoroethylene insulating coating to adapt to the wear and tear environment of long-term sofa use.

5. The antibacterial smart sofa fabric with integrated temperature sensing according to claim 1, characterized in that, The intelligent control module incorporates a temperature trend prediction and antibacterial demand matching algorithm. It takes nearly 30 minutes of temperature data as input and uses a long short-term memory neural network model to predict the temperature change trend in the next hour. The model input parameters include the current temperature, the rate of temperature change, and the ambient humidity. The output parameter is the predicted temperature range. It integrates user habit data to establish a correlation model between temperature and antibacterial activity requirements. When the predicted temperature is higher than 30℃, it automatically increases the antibacterial activity rate threshold to 85%. When the predicted temperature is lower than 15℃, it sets the start delay time of the antibacterial enhancement control module to 10 minutes.

6. The antibacterial smart sofa fabric with integrated temperature sensing according to claim 1, characterized in that, The power supply module adopts a dual-power supply design and is equipped with a USB-C wired charging interface that supports 5V / 2A charging. The module has a built-in energy management unit that monitors the current consumption of each module in real time. When the sofa is unused for more than 30 minutes, it automatically turns off the OLED touch screen and the colony counting sensor, retaining only the low-power operation mode of the temperature sensing integrated module and the intelligent control module. When human contact with the fabric is detected, the full-function mode is automatically activated through the capacitive sensor switch.

7. The antibacterial smart sofa fabric with integrated temperature sensing according to claim 1, characterized in that, The human-computer interaction module supports multimodal interaction and personalized settings, integrates a voice recognition unit, supports 10 preset voice commands, and the mobile terminal APP supports custom temperature alarm thresholds, antibacterial control cycles, and data sampling interval parameters. The APP generates monthly temperature usage reports and antibacterial performance evaluation reports. Users can remotely upgrade the system firmware through the APP, and the core services continue to run during the upgrade process.

8. A control method for an antibacterial smart sofa fabric with integrated temperature sensing as described in any one of claims 1-7, characterized in that, Includes the following steps; System initialization steps: The power supply module is started to supply power to each module. The intelligent control module executes a self-test program. If a fault is found, the fault code is displayed through the human-machine interaction module. The temperature compensation and calibration module automatically collects the current ambient humidity and air pressure data to complete the initial calibration of the temperature sensor. Temperature acquisition and processing steps: The temperature sensing integrated module acquires temperature data of each area of ​​the fabric at a preset sampling interval, amplifies the original signal through a differential amplifier circuit, and transmits it to the intelligent control module. The intelligent control module calls the temperature compensation formula to calibrate the original temperature data, and transmits the calibrated temperature data and the average temperature value to the data storage module for storage. Antimicrobial performance monitoring steps: The fabric antimicrobial performance monitoring module performs an antimicrobial performance test once per hour. The colony counting sensor collects samples from the fabric surface, the ultraviolet spectroscopy detection unit detects the residual amount of antimicrobial components, and the intelligent control module calculates the antimicrobial activity rate based on the test data using the antimicrobial activity evaluation formula, determines whether the preset threshold has been reached, and stores the test results and calculation data in the data storage module. Intelligent control steps: The intelligent control module compares the calibrated temperature data with the preset temperature range. When the average temperature is higher than 32℃, the human-machine interaction module issues a high temperature warning, and when it is lower than 10℃, it issues a low temperature warning. Based on the antibacterial activity rate, if it is lower than the threshold, the antibacterial enhancement control module is activated to control the atomizing device to release the antibacterial agent. The airflow circulation unit runs for 5 minutes and then stops. The antibacterial activity rate is checked again until it reaches the threshold. Data storage and update steps: The data storage module stores temperature data, antibacterial test data, and control operation records according to timestamps. When the storage capacity reaches 90%, the earliest 10% of the data is automatically deleted. It supports exporting data for a specified time period through a mobile terminal APP, and the export format is Excel or CSV. Human-computer interaction feedback steps: The human-computer interaction module displays the current average temperature, antibacterial activity rate, and power supply module power in real time. When it detects user operation buttons or APP commands, it executes the corresponding operation and provides feedback on the results. When the user queries historical data, it retrieves the data from the data storage module and displays it on the screen or APP. After the voice command is executed, the operation result is prompted by voice. Sleep and wake-up steps: The power management unit monitors human contact signals in real time. If there is no human contact for more than 30 minutes, the control system enters a low-power sleep mode and shuts down non-core modules. When the capacitive sensor detects human contact, the system automatically wakes up and resumes full-function operation. After waking up, it re-executes the temperature acquisition and antibacterial performance monitoring steps.

9. The control method for an antibacterial smart sofa fabric with integrated temperature sensing according to claim 8, characterized in that, In the temperature acquisition and processing steps, a new process for temperature anomaly diagnosis and sensor fault troubleshooting has been added. The intelligent control module compares three consecutive data acquisitions. When the temperature change of a single sensor is too large and the difference from adjacent data is obvious, the fault location is marked and a prompt is given through the human-machine interaction module. The calibrated data is processed using a moving average filtering algorithm.

10. The control method for an antibacterial smart sofa fabric with integrated temperature sensing according to claim 8, characterized in that, In the intelligent control process, the antibacterial control parameters are adjusted based on the temperature trend prediction results. When the temperature is predicted to be too high, the antibacterial enhancement control module is activated in advance. When the antibacterial activity rate fails to meet the standard in continuous testing, the running time of the atomizing device is extended and the interval between the next test is shortened. When the temperature is in the comfortable range and the antibacterial activity rate meets the standard, the power supply module is controlled to enter the energy-saving mode to balance energy saving and performance.

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