Multi-mode temperature real-time monitoring and early warning system for traditional Chinese medicine thermotherapy

Abstract

The invention discloses a multi-modal temperature real-time monitoring and early warning system for traditional Chinese medicine thermotherapy, and relates to the technical field of traditional Chinese medicine medical equipment, and the system comprises a multi-modal flexible sensing subsystem, an intelligent processing host, an intelligent early warning algorithm module, a multi-parameter fusion control subsystem and a nurse terminal APP. According to the invention, through the multi-mode flexible sensing system, a special sensor is designed according to different therapy characteristics, and continuous and real-time monitoring of the skin temperature of a treatment part is realized. And performing early warning and alarm judgment on a preset threshold value through intelligent early warning and alarm. Through a multi-parameter fusion control system, the purposes of automatic calibration according to environment temperature and humidity and dynamic adjustment of a safety threshold according to a patient risk portrait are achieved. A treatment data cloud platform is applied, a temperature-time curve is stored, a safety report is generated, and the limitation of temperature measurement of current traditional Chinese medicine thermotherapy is broken through.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of traditional Chinese medicine medical equipment, in particular to a multi-modal temperature real-time monitoring and early warning system for traditional Chinese medicine warm therapy. BACKGROUND

[0002] As one of the core treatment methods of traditional Chinese medicine, traditional Chinese medicine warm therapy is widely used in moxibustion, warm acupuncture, traditional Chinese medicine hot pack and traditional Chinese medicine fumigation therapy. It promotes blood circulation and dispels cold evil through local heating, and has significant effects in the fields of chronic pain management and sub-health conditioning. With the progress of medical technology, temperature monitoring has become a key link to ensure the safety and effectiveness of warm therapy. At present, the temperature monitoring of traditional Chinese medicine warm therapy mainly relies on manual measurement and experience judgment of medical staff. Although some institutions have introduced electronic thermometers and infrared thermometers, these means generally have poor real-time performance and weak adaptability. For example, electronic thermometers need to be contacted for measurement and cannot be continuously monitored. Infrared thermometers are easily disturbed by the environment, resulting in data fluctuations. Simple data recorders can only record the temperature of a single node and lack comprehensive analysis capabilities for dynamic changes in multiple parameters. Therefore, how to realize precise temperature monitoring and intelligent intervention in the whole process of warm therapy has become a core technical requirement to improve the standardization level of traditional Chinese medicine treatment.

[0003] Traditional temperature monitoring technology has significant limitations in adapting to the diversified scenarios of traditional Chinese medicine warm therapy. Firstly, the type of sensor is single and cannot adapt to the physical characteristics of different therapies. Moxibustion requires monitoring the distribution of large-area heat sources, but traditional equipment can only collect point data. Warm acupuncture requires direct measurement of needle temperature, but existing technology relies on indirect speculation due to the inability to fix the sensor. Traditional Chinese medicine hot packs have a large coverage area and uneven temperature distribution, but conventional equipment cannot fully cover the area due to insufficient number of probes. The environment of traditional Chinese medicine fumigation therapy is humid, and ordinary sensors are easily damaged by water. Secondly, the clinical safety is not guaranteed, and the temperature threshold is set based on experience rather than individual data, resulting in a high risk of burns for sensitive groups. Thirdly, there is a lack of real-time early warning and data tracing capabilities, making it difficult for medical staff to intervene in time when the temperature is abnormal, and the treatment process lacks digital records, which is not conducive to efficacy evaluation and medical dispute prevention. SUMMARY

[0004] The present application aims to overcome the shortcomings of the prior art and provides a multi-modal temperature real-time monitoring and early warning system for traditional Chinese medicine warm therapy. Through the innovative combination of hardware adaptation, algorithm optimization and data driving, precise monitoring and active safety intervention are realized in all scenarios of warm therapy. The core of the system includes a multi-modal flexible sensing subsystem to solve the poor adaptability of traditional equipment, an intelligent early warning algorithm to break through the limitations of experience dependence, and a multi-parameter fusion control subsystem to improve monitoring accuracy and standardization level of treatment.

[0005] The application provides the following technical solutions to solve the above technical problems: a traditional Chinese medicine warm therapy multi-modal temperature real-time monitoring and early warning system, which comprises a multi-modal flexible sensing subsystem, an intelligent processing host, an intelligent early warning algorithm module, a multi-parameter fusion control subsystem and a nurse terminal APP;

[0006] The multi-modal flexible sensing subsystem comprises special sensors designed for moxibustion, warm acupuncture, hot packs and fumigation and washing, and is used for collecting temperature data of treatment sites.

[0007] The intelligent processing host receives and displays the temperature data collected by the multi-modal flexible sensing subsystem.

[0008] The intelligent early warning algorithm module receives the temperature data transmitted by the intelligent processing host, and performs early warning and alarm judgment based on preset threshold values.

[0009] The multi-parameter fusion control subsystem is used for calibrating the temperature data, dynamically adjusting the safety threshold and storing treatment data.

[0010] The nurse terminal APP receives early warning and alarm information of all levels pushed by the intelligent early warning algorithm module, synchronously displays alarm types, corresponding treatment sites and real-time temperature data, and transmits sensitive information through end-to-end encryption, and adopts de-identification processing when storing.

[0011] Further, the sensors in the multi-modal flexible sensing subsystem are made of ultrathin flexible biocompatible materials, have a patch shape, a thin strip shape or a special-shaped structure adapted to treatment sites, integrate at least two micro temperature sensor points, cover the center and the surrounding area of a heat source, are fixed on the surface by using a low-sensitization medical adhesive, have a waterproof structure for fumigation and washing sites, and are connected to the intelligent processing host in a wired thin and soft wire connection mode or a low-power Bluetooth wireless connection mode.

[0012] Further, the multi-modal flexible sensing subsystem comprises a ring-shaped high-temperature-resistant patch sensor for general moxibustion, which can resist a temperature of greater than or equal to 300 DEG C, has a hollow center and adopts 4-point distributed temperature measurement; a micro needle clamp type thermocouple sensor for warm acupuncture, which can directly clamp a needle body to monitor the temperature of the needle body.

[0013] A mesh-shaped flexible array sensor for traditional Chinese medicine hot packs, which is arranged in a 16-point matrix distribution, has a pressure-resistant design and a thickness of less than or equal to 1 mm; and a waterproof film sensor for traditional Chinese medicine fumigation and washing, which has a protection level of IP68 and is a floating structure.

[0014] Further, the 4-point temperature measurement points of the ring-shaped high-temperature-resistant patch sensor in the multi-modal flexible sensing subsystem are uniformly distributed along the ring and have equal spacings; and the 16-point matrix of the mesh-shaped flexible array sensor is arranged in a 4x4 array, and the point spacings are 1-2 cm.

[0015] Further, the intelligent processing host is small and portable, and is clamped on a nurse's uniform, placed on a treatment cart or bedside, and displays temperature values of each monitoring point in real time, and can display simple temperature graphs or column charts; the connection mode of the multi-modal flexible sensing subsystem and the intelligent processing host includes wired connection and wireless connection, the wired connection is connected through a thin and soft wire, and the wireless connection transmits data by using low-power Bluetooth; the intelligent processing host is built-in with a storage chip, records the time-temperature curve of each treatment, and exports data to a computer or a hospital information system through USB or Bluetooth.

[0016] Further, the intelligent early warning algorithm module realizes graded early warning and alarm based on real-time temperature data and a threshold value judgment model, when the temperature is greater than or equal to 42 DEG C, early warning is performed, the early warning mode is blue light flashing, and information is pushed through a nurse terminal APP at the same time; when the temperature reaches 45 DEG C and lasts for more than 3 minutes, level 1 alarm is performed, the alarm mode is yellow light + vibration, and information is pushed through the nurse terminal APP at the same time; when the temperature is instantaneously greater than or equal to 50 DEG C, or the temperature reaches 48 DEG C and lasts for more than 1 minute, level 2 alarm is performed, the alarm mode is red light + bee sound, information is pushed through the nurse terminal APP at the same time, and the heat source is automatically cut off.

[0017] Further, the early warning and alarm thresholds in the intelligent early warning algorithm module are set by medical staff according to therapy types, patient individual differences and treatment sites; the system pre-stores common threshold value schemes.

[0018] Further, the common threshold value schemes pre-stored in the intelligent early warning algorithm module include a children special scheme, a diabetes patient scheme and a sensitive site scheme.

[0019] Further, the multi-parameter fusion control subsystem includes a temperature compensation module, a patient risk portrait module and a treatment data cloud platform; the temperature compensation module automatically calibrates temperature data according to environmental temperature and humidity; the patient risk portrait module dynamically adjusts the safety threshold by inputting the age, diabetes history and treatment site information of the patient; the treatment data cloud platform is used for storing temperature-time curves and generating a safety report, and the safety report includes treatment time, temperature extreme value of each monitoring point, early warning and alarm record.

[0020] Further, the nurse terminal APP supports viewing patient basic information, treatment schemes and temperature change curves, and supports manually recording treatment adjustment operations and linkage with the treatment data cloud platform of the multi-parameter fusion control subsystem.

[0021] Compared with the prior art, the traditional Chinese warm therapy multi-modal temperature real-time monitoring and early warning system has the following beneficial effects:

[0022] I. The present application realizes precise temperature monitoring and active safety intervention in the whole scene of traditional Chinese warm therapy through the deep integration of multi-modal flexible sensing subsystem and intelligent early warning algorithm. Traditional Chinese warm therapy has the problems of single monitoring means and poor adaptability due to various treatment methods. The present application designs special sensors for different therapy characteristics: a ring-shaped high-temperature-resistant patch sensor precisely covers the center and surrounding area of the moxibustion heat source through a center hollow and four-point distributed temperature measurement structure; a miniature needle clamp type thermocouple sensor directly clamps the warm acupuncture needle body, breaking through the limitations of traditional surface temperature measurement; a mesh flexible array sensor is distributed in a 16-point matrix to adapt to the large-area coverage scene of hot packs; a waterproof film sensor solves the problem of liquid environment interference in fumigation therapy through IP68 protection and floating design. This differential design enables the system to adapt to the physical characteristics and temperature distribution law of different therapies, improving the comprehensiveness and accuracy of monitoring data.

[0023] II. The present application realizes the dual improvement of monitoring accuracy and patient experience of traditional Chinese warm therapy through the innovative application of multi-parameter fusion control subsystem and biocompatible flexible sensing material. Traditional temperature monitoring systems often ignore the influence of environmental factors on data, while the temperature compensation module of the present application can automatically calibrate the changes of environmental temperature and humidity, dynamically adjust the safety threshold in combination with the patient risk portrait module, and ensure the objectivity of monitoring data and the adaptability of treatment scheme. The treatment data cloud platform stores the temperature-time curve and generates a safety report containing early warning records and extreme value analysis, providing data support for efficacy evaluation and risk traceability.

[0024] Other advantages, objects, and features of the present application will be apparent to those skilled in the art from the following specification, in some respects, will be apparent to those skilled in the art from the following description, or can be learned from practice of the present application. BRIEF DESCRIPTION OF DRAWINGS

[0025] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiment or prior art description. Obviously, the drawings in the following description are only some embodiments of the present application, and those skilled in the art can also obtain other drawings from these drawings without creative labor.

[0026] Figure 1 Data flow conversion schematic diagram of multi-modal temperature real-time monitoring and early warning system for traditional Chinese warm therapy;

[0027] Figure 2 Framework structure schematic diagram of multi-modal temperature real-time monitoring and early warning system for traditional Chinese warm therapy;

[0028] Figure 3The operation flowchart of the nurse terminal APP is shown in FIG. 1. DETAILED DESCRIPTION

[0029] In order to further illustrate the technical means and effects adopted by the present application to achieve the predetermined inventive purposes, the specific embodiments, structures, features and effects according to the present application are described in detail below in combination with the drawings and preferred embodiments.

[0030] Embodiment One

[0031] The temperature monitoring and early warning scene for waist warm acupuncture treatment of diabetic patients.

[0032] Treatment preparation stage: According to the fact that the patient is a diabetic patient, the medical staff selects the "diabetic patient scheme" preset threshold in the multi-parameter fusion control subsystem. This scheme takes into account the characteristics of diabetic patients, such as weaker skin perception ability and easy to burn, and reduces 2-3℃ compared with the ordinary scheme; at the same time, the patient's age (65 years old), diabetes history (10 years) and treatment site (waist) are input through the patient risk portrait module, and the system further dynamically calibrates the safety threshold based on these information, sets the early warning threshold to 40℃, the first level alarm threshold to 43℃ (last for >3min), and the second level alarm threshold to 48℃ and 46℃ (last for >1min), to ensure that more accurate safety protection standards are provided for special patient groups.

[0033] Sensor deployment: The micro-needle clamp thermocouple sensor in the multi-modal flexible sensing subsystem is selected, which can be directly clamped on the needle body of warm acupuncture, closely fit the needle body to capture the temperature change of the needle body in real time, and avoid monitoring deviation caused by temperature conduction delay; the sensor is connected with the intelligent processing host through a thin and soft wire, and the wire is soft and thin, which will not affect the patient's body position or treatment operation; the intelligent processing host is clamped on the nurse's uniform, which can help the nurse check the temperature data of the patient at any time when she is patrolling other patients, and improve the convenience and real-time of monitoring, as shown in Figure 1 .

[0034] Treatment stage: After the start of warm acupuncture treatment, the micro-needle clamp thermocouple sensor continuously collects the needle body temperature data, and the data is stably transmitted to the intelligent processing host through the wire; the host screen displays the needle body temperature value in real time, the initial temperature is 36℃, and gradually rises to 41℃ with the burning of the moxa, and at the same time generates a simple temperature curve graph, which clearly presents the temperature rising trend, helping medical staff to intuitively judge the temperature change speed and timely predict potential risks, as shown in Figure 2 .

[0035] Early warning and alarm response: When the needle temperature rises to 40°C, the intelligent early warning algorithm module triggers a warning, and the intelligent processing host flashes blue light, prompting the nurse that the temperature is close to the range that needs attention. After the nurse observes the warning on the host, she immediately goes to the patient to check the skin condition of the waist, confirms that there is no redness, swelling, and burning pain, and continues to monitor; when the temperature rises to 43°C and lasts for 2 minutes at 15 minutes of treatment, the system does not alarm, and the current monitoring state is maintained; when the temperature continues to be 43°C at the 4th minute, the first-level alarm is triggered, the intelligent processing host flashes yellow light and vibrates, and the nurse's end APP receives a push message showing "waist warm acupuncture first-level alarm, current temperature 43°C", ensuring that the nurse can timely know the danger no matter where she is; the nurse immediately goes to the patient and adjusts the needle depth to reduce the heat transfer of the moxa, and records the adjustment in the APP after the operation, and the data is synchronized to the treatment data cloud platform, providing complete operation basis for subsequent treatment evaluation.

[0036] Treatment completion and data processing: After the treatment is completed, the temperature compensation module of the multi-parameter fusion control subsystem calibrates the whole temperature data according to the environmental temperature and humidity (room temperature 25°C, humidity 50% during treatment) to eliminate the interference of environmental factors on the accuracy of temperature measurement; the treatment data cloud platform automatically stores the time-temperature curve of this treatment, generates a safety report containing the treatment time (30 minutes), temperature extreme value (43°C) and first-level alarm record, and provides objective treatment process credentials for both doctors and patients; the intelligent processing host exports data to the hospital information system through USB for archiving, which is convenient for the hospital to trace and manage the treatment quality and improve the overall medical safety level.

[0037] In summary, in the waist warm acupuncture treatment of diabetic patients, the system accurately monitors the needle temperature through the miniature needle clamp thermocouple sensor of the multi-modal flexible sensing subsystem, dynamically adjusts the safety standard according to the preset threshold of "diabetic patient program" and individual information of the patient, ensures the treatment safety of the group with weak perception ability, the intelligent processing host displays the temperature data and curve in real time, which is convenient for medical staff to intuitively master the trend; the graded warning and alarm mechanism ensures that the abnormal temperature is responded in time through sound and light, vibration and APP push, the multi-parameter fusion control subsystem calibrates the data and stores the complete treatment record, which not only provides precise protection for single treatment, but also accumulates basis for subsequent treatment evaluation and hospital management, and comprehensively improves the safety and standardization of warm acupuncture treatment.

[0038] Example Two:

[0039] Temperature monitoring and early warning for children's abdominal traditional Chinese medicine hot pack treatment.

[0040] Treatment preparation stage: medical staff selects the "child-specific program" preset threshold in the multi-parameter fusion control subsystem, which fully considers the characteristics of children's delicate skin and weaker body temperature perception, and reduces the warning and alarm temperature standards compared to the adult program; at the same time, combined with the patient risk portrait module inputting the child's age (5 years old), no special medical history and treatment site (abdomen), the system further dynamically adjusts the safety threshold, sets the warning threshold to 41°C, the first-level alarm threshold to 44°C (last for >3min), and the second-level alarm threshold to 49°C or 47°C (last for >1min), to build a safety protection system that better fits the physiological characteristics of children.

[0041] Sensor deployment: choose the mesh flexible array sensor in the multi-modal flexible sensing subsystem, which adopts a 4x4 matrix arrangement (16 points) with a point spacing of 1.5 cm and a thickness of only 0.8 mm. The ultra-thin design allows it to closely adhere to the child's abdominal skin, avoiding uneven contact between the thermal pack and the skin caused by excessive sensor thickness; the surface is fixed with low-sensitizing medical adhesive to reduce the risk of skin allergy in children and can be stably attached to the active abdominal area, preventing sensor displacement during treatment and affecting data accuracy; the sensor is wirelessly connected to the intelligent processing host using low-power Bluetooth, freeing it from the constraints of wires and avoiding accidents caused by children pulling the wires. The intelligent processing host is placed in a prominent position on the treatment cart, making it easy for medical staff to check the data at any time.

[0042] Treatment stage: after the application of the traditional Chinese medicine hot pack, the 16 temperature measurement points of the mesh flexible array sensor synchronously and in real time collect temperature data from different areas of the abdomen, with an initial temperature of 38°C and gradually rising to 40°C as the hot pack continues to heat. The data is stably transmitted to the intelligent processing host through Bluetooth, and the host screen not only displays the temperature values of each point, but also visually displays the temperature differences in different areas in the form of a column chart, with the temperature of the 4 points in the central area slightly higher (40°C) and the temperature of the 12 points in the peripheral area between 37-39°C, helping medical staff quickly determine whether the heat distribution of the hot pack is uniform and timely detect local overheating problems.

[0043] Early warning and alarm response: When the treatment was carried out for 10 min, the temperature of 1 point in the central area rose to 41℃, the intelligent early warning algorithm module triggered the early warning immediately, the intelligent processing host blue light flashed, and the nurse end APP displayed "abdominal hot pack early warning, corresponding area temperature 41℃" at the same time, reminding the nurse that the temperature of this area had reached the range that needed attention; After the nurse checked, she adjusted the position of the hot pack by light pressure, so that the heat was redistributed, the temperature dropped below 40℃, the early warning was removed, and the continuous rise of local temperature was avoided to cause irritation to the child's skin; When the treatment was carried out for 20 min, because the hot pack dissipated heat slowly, the temperature of 3 points in the central area rose to 44℃ and lasted for 3 min, the first level alarm was triggered, the host yellow light flashed and vibrated, and the APP pushed the alarm information synchronously, so as to ensure that the nurse could know the danger in the first time; After the operation, the adjustment situation was recorded manually in the APP, and the data was synchronized to the treatment data cloud platform, providing detailed operation records for subsequent treatment review, such as Figure 3

[0044] Treatment end and data processing: After the treatment was completed, the temperature compensation module of the multi-parameter fusion control subsystem calibrated the whole process temperature data according to the environmental temperature and humidity (room temperature 26℃, humidity 55%) during the treatment, eliminated the influence of environmental factors on the temperature measurement accuracy, and ensured the reliability of the data; The treatment data cloud platform automatically stored the time-temperature curve of this treatment, generated a safety report containing the treatment time (25 min), temperature extreme value (44℃) and 1 early warning and 1 first level alarm record, provided a transparent treatment process explanation for the parents, and provided data support for medical staff to summarize the temperature control experience of children's hot pack treatment; The intelligent processing host exported the data to the hospital information system through Bluetooth for archiving, which was convenient for the hospital to uniformly manage and analyze the safety of children's traditional Chinese medicine treatment, and continuously optimize the children's treatment plan.

[0045] In summary, for the abdominal traditional Chinese medicine hot pack treatment of children, the system uses a net-shaped flexible array sensor to realize 16-point matrix temperature measurement, the ultra-thin flexible design and low allergenicity fixation method are suitable for the delicate skin of children, wireless connection avoids accidental risks, "children special scheme" sets a lower threshold combined with age information, the heat distribution is displayed intuitively through the host column chart, the early warning and alarm mechanism timely reminds medical staff to adjust the hot pack, and the calibrated data is stored in the cloud platform, which not only provides safety protection for children according to their physiological characteristics, but also provides data support for treatment review and scheme optimization, effectively improving the safety and refinement level of children's traditional Chinese medicine hot pack treatment.

[0046] ​The above merely describes the preferred embodiments of the present application, and is not intended to limit the present application in any form. Although the present application has been disclosed with the preferred embodiments as above, it is not intended to limit the present application. Any person skilled in the art can make some changes or modifications to the above disclosed technical content to obtain equivalent embodiments with equivalent changes, as long as the changes or modifications do not deviate from the technical solution of the present application. Any modification, change, equivalent change and modification of the above embodiments made according to the technical essence of the present application still belong to the scope of the technical solution of the present application.

Claims

1. A multimodal real-time temperature monitoring and early warning system for traditional Chinese medicine thermotherapy, characterized in that, The system includes a multimodal flexible sensing subsystem, an intelligent processing host, an intelligent early warning algorithm module, a multi-parameter fusion control subsystem, and a nurse-side APP; The multimodal flexible sensing subsystem includes dedicated sensors designed for four therapies: moxibustion, warm needle moxibustion, hot compress, and fumigation, used to collect temperature data of the treatment site. The intelligent processing host receives and displays temperature data collected by the multimodal flexible sensing subsystem; The intelligent early warning algorithm module receives temperature data transmitted from the intelligent processing host and makes early warning and alarm judgments based on preset thresholds. The multi-parameter fusion control subsystem is used to calibrate temperature data, dynamically adjust safety thresholds, and store treatment data. The nurse-side app receives warning and alarm information at all levels pushed by the intelligent early warning algorithm module, and simultaneously displays the alarm type, corresponding treatment site, and real-time temperature data.

2. The multimodal temperature real-time monitoring and early warning system for traditional Chinese medicine thermotherapy according to claim 1, characterized in that, The sensors in the multimodal flexible sensing subsystem are made of ultra-thin flexible biocompatible materials and are in the form of patches, strips, or irregularly shaped structures adapted to the treatment site. They integrate at least two miniature temperature sensor points, covering the center and surrounding area of ​​the heat source. The surface is fixed with a low-allergenic medical adhesive. The sensors used for fumigation have a waterproof structure. The connection to the intelligent processing host includes wired connection with a thin, soft wire or low-power Bluetooth wireless connection.

3. The multimodal temperature real-time monitoring and early warning system for traditional Chinese medicine thermotherapy according to claim 2, characterized in that, The multimodal flexible sensing subsystem includes: a ring-shaped high-temperature resistant patch sensor for general moxibustion, which can withstand temperatures ≥300℃, has a hollow center, and uses 4-point distributed temperature measurement; and a miniature needle clip thermocouple sensor for warm acupuncture, which can directly clamp the needle body to monitor the needle body temperature. The mesh flexible array sensor used for hot compresses of traditional Chinese medicine is arranged in a 16-point matrix, with a pressure-resistant design and a thickness of ≤1mm; the waterproof membrane sensor used for fumigation and washing of traditional Chinese medicine has an IP68 protection rating and a floating structure.

4. The multimodal temperature real-time monitoring and early warning system for traditional Chinese medicine thermotherapy according to claim 3, characterized in that, In the multimodal flexible sensing subsystem, the four temperature measuring points of the annular high-temperature resistant patch sensor are evenly distributed along the ring and are equally spaced; the 16-point matrix of the mesh flexible array sensor is arranged in a 4×4 pattern with a point spacing of 1-2 cm.

5. The multimodal real-time temperature monitoring and early warning system for traditional Chinese medicine thermotherapy according to claim 1, characterized in that, The intelligent processing host is compact and portable, clipped onto a nurse's uniform, placed on a treatment cart, or bedside, and displays the temperature values ​​of each monitoring point in real time, as well as simple temperature curves or bar charts. The multimodal flexible sensing subsystem is connected to the intelligent processing host via wired and wireless connections. The wired connection uses a thin, flexible wire, while the wireless connection uses low-power Bluetooth for data transmission. The intelligent processing host has a built-in storage chip that records the time-temperature curve for each treatment and exports the data to a computer or hospital information system via USB or Bluetooth.

6. The multimodal real-time temperature monitoring and early warning system for traditional Chinese medicine thermotherapy according to claim 1, characterized in that, The intelligent early warning algorithm module implements graded early warning and alarm based on real-time temperature data and a threshold judgment model. When the temperature is ≥42℃, an early warning is issued, indicated by a flashing blue light, and information is pushed to the nurse's app. When the temperature reaches 45℃ and lasts for more than 3 minutes, a Level 1 alarm is issued, indicated by a yellow light and vibration, and information is pushed to the nurse's app. When the temperature is instantaneously ≥50℃, or when the temperature reaches 48℃ and lasts for more than 1 minute, a Level 2 alarm is issued, indicated by a red light and a buzzer, and information is pushed to the nurse's app, and the heat source is automatically cut off.

7. The multimodal real-time temperature monitoring and early warning system for traditional Chinese medicine thermotherapy according to claim 1, characterized in that, In the intelligent early warning algorithm module, the early warning and alarm thresholds are set by medical staff according to the type of treatment, individual patient differences, and treatment site; the system has pre-stored commonly used threshold schemes.

8. The multimodal real-time temperature monitoring and early warning system for traditional Chinese medicine thermotherapy according to claim 1, characterized in that, The commonly used threshold schemes pre-stored in the intelligent early warning algorithm module include schemes for children, schemes for diabetic patients, and schemes for sensitive areas.

9. The multimodal real-time temperature monitoring and early warning system for traditional Chinese medicine thermotherapy according to claim 1, characterized in that, The multi-parameter fusion control subsystem includes a temperature compensation module, a patient risk profiling module, and a treatment data cloud platform. The temperature compensation module automatically calibrates temperature data based on ambient temperature and humidity. The patient risk profiling module dynamically adjusts safety thresholds by inputting the patient's age, history of diabetes, and treatment site information. The treatment data cloud platform stores temperature-time curves and generates safety reports, which include treatment time, extreme temperature values ​​at each monitoring point, and warning and alarm records.

10. The multimodal real-time temperature monitoring and early warning system for traditional Chinese medicine thermotherapy according to claim 1, characterized in that, The nurse-side app supports viewing patient basic information, treatment plans, and temperature change curves; it also supports manually recording treatment adjustments and is linked with the treatment data cloud platform of the multi-parameter fusion control subsystem.

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