Control system of cold and hot compress device

Abstract

The invention relates to the technical field of cold and hot compress device control, and discloses a control system of a cold and hot compress device, the system comprises a cold and hot compress terminal, the cold and hot compress terminal comprises a water bag layer and an air bag layer, the water bag layer is internally provided with a water flow channel used for heat exchange with human skin, and the water bag layer is connected with a water pump of an external water supply device, a heater and a refrigerator; the air bag layer is located on the outer side of the water bag layer, used for enabling the water bag layer to be attached to the skin of the human body more tightly through inflation and pressurization and connected with an air pump of an external air supply device. By arranging the cold and hot compress terminal, the acquisition module, the data analysis module and the control early warning module, the cold and hot compress terminal can realize cold and hot compress treatment on a human body and ensure the fitting degree with the human body, the acquisition module acquires treatment-related data in multiple dimensions, and the data analysis module analyzes the data and generates an early warning signal. And the early warning module is controlled to execute an early warning signal and adjust the cold and hot compress terminal, so that accurate control and real-time monitoring of the cold and hot compress treatment process are realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of cold and hot compress device control, in particular to a control system of a cold and hot compress device. BACKGROUND

[0002] Cold and hot compress therapy, as an important means of physical therapy, has significant effects in relieving pain, eliminating swelling and promoting tissue repair. Traditional cold and hot compress devices (such as ice bags and hot water bags) have inherent defects such as low temperature control precision, short maintenance time, poor body surface adhesion, etc., resulting in low heat exchange efficiency and safety hazards.

[0003] In recent years, wearable cold and hot compress devices have improved temperature stability through fluid circulation systems, but the existing technology is relatively rough in monitoring and control methods during the use of wearable cold and hot compress devices, which may cause real-time identification of temperature changes in the treatment area, equipment failure, lack of quantitative evaluation mechanism for temperature deviation, and may lead to low-temperature burns or ineffective treatment. SUMMARY

[0004] In order to solve the technical defects of wearable cold and hot compress devices in dynamic temperature monitoring and cumulative effect control, the present application provides a control system of a cold and hot compress device.

[0005] In the first aspect, the present application provides a control system of a cold and hot compress device, which adopts the following technical solution: A control system of a cold and hot compress device, the system comprises: A cold and hot compress terminal, comprising a water bag layer and an air bag layer, the water bag layer is internally provided with a water flow channel for heat exchange with human skin, and is connected with a water pump, a heater and a refrigerator of an external water supply device, the air bag layer is located outside the water bag layer, and is used to make the water bag layer more closely adhere to the human skin by inflation and pressurization, and is connected with an air pump of an external air supply device; A collection module, comprising a distributed temperature sensor array, a core temperature sensor and a time monitoring unit, the distributed temperature sensor array is used to collect temperature values at multiple points in the cold and hot compress terminal, the core temperature sensor is used to collect temperature values of the treatment area, and the time monitoring unit is used to collect treatment duration; A data analysis module, which analyzes the corresponding change rate of the collected treatment area temperature values, generates a temperature change abnormal warning signal when the change rate of the treatment area temperature values exceeds a preset temperature change rate threshold, and analyzes the change of the collected treatment area temperature values, generates a temperature cumulative deviation abnormal warning signal when the temperature cumulative deviation in a preset time period exceeds a preset temperature cumulative deviation threshold; The control early warning module executes various early warning signals generated by the data analysis module and synchronously controls the cold and hot compress terminal to make corresponding adjustments.

[0006] By adopting the above technical solution, the control system of the cold and hot compress device realizes a heat exchange interface with controllable pressure through the cooperative design of the water bag layer and the air bag layer, forms a closed-loop control architecture in combination with the multi-sensor data acquisition and intelligent analysis module, can monitor and accurately adjust the temperature of the treatment area in real time, and improves the safety and effectiveness of cold and hot compress treatment.

[0007] Optionally, the process of generating the temperature change abnormal early warning signal includes: The real-time change rate of the temperature value of the treatment area is obtained through the above formula analysis and calculation ; Wherein, is the temperature value of the treatment area at the t time node, is the temperature value of the treatment area at the time node, is the preset time interval; The real-time change rate of the temperature value of the treatment area is compared with the preset temperature change rate threshold ; If , a temperature change abnormal early warning signal is generated; Otherwise, the temperature value of the treatment area is further analyzed and monitored.

[0008] By adopting the above technical solution, the system realizes a real-time early warning mechanism based on the temperature change rate, can quickly identify the risk of temperature mutation by comparing the temperature difference value of adjacent time nodes with the preset threshold, timely triggers an abnormal early warning and adjusts the heat exchange power to prevent local overheating or overcooling from causing damage to human tissues.

[0009] Optionally, the process of generating the temperature cumulative deviation abnormal early warning signal includes: The temperature cumulative deviation of the treatment area in a preset time period is obtained through the above formula analysis and calculation ; Wherein, is a temperature value curve of the treatment area with time, is a target curve of the temperature value of the treatment area with time, is a preset time period; The temperature cumulative deviation of the treatment area in a preset time period is compared with the preset temperature cumulative deviation threshold ; If , a temperature cumulative deviation abnormality early warning signal is generated.

[0010] By adopting the technical scheme, the system introduces a temperature cumulative deviation analysis model, quantifies the deviation degree of the actual temperature curve and the target curve through integral operation, realizes monitoring of long-term temperature stability in the treatment process, and early warns when the cumulative deviation exceeds the threshold value, thereby ensuring consistency and reliability of the treatment effect.

[0011] Optionally, the data analysis module also monitors and adjusts the local temperature difference, and the adjustment process includes: calculating the maximum temperature difference between the temperature values of each point in the cold and hot compress terminal and the temperature value of the treatment area; when the maximum temperature difference exceeds the preset local temperature difference threshold value, adjusting the power of the heater or the refrigerator.

[0012] By adopting the technical scheme, the system constructs a local temperature difference balance control mechanism, acquires multi-point temperature data through a distributed sensor array, calculates the maximum temperature difference with the core treatment area, dynamically adjusts the power of the heater or the refrigerator, eliminates local temperature differences caused by uneven heat conduction, and improves the comfort of the treatment experience.

[0013] Optionally, the process of adjusting the power of the heater or the refrigerator includes: The temperature difference between the temperature values of each point and the temperature value of the treatment area is obtained through the above formula analysis and calculation . When , it is indicated that the power of the heater or the refrigerator needs to be adjusted; The power adjustment amount is obtained through the above formula analysis and calculation . wherein, is the temperature value of the treatment area, is the temperature value of the i-th point in the cold and hot compress terminal, is the maximum value of the temperature difference between the temperature values of each point and the temperature value of the treatment area, is the preset local temperature difference threshold value, , is a control parameter.

[0014] By adopting the technical scheme, the system realizes an adaptive power adjustment algorithm based on the temperature difference gradient, quantifies the temperature deviation of each monitoring point and the treatment area, dynamically calculates the power adjustment amount in combination with the control parameter, forms a nonlinear feedback control loop, optimizes energy efficiency while ensuring the treatment effect.

[0015] Optionally, the data analysis module further monitors temperature fluctuation of the treatment area, and the monitoring process comprises: calculating standard deviation of the treatment area temperature within a preset sliding time window; generating a pre-warning signal of treatment area temperature fluctuation anomaly when the standard deviation exceeds a preset fluctuation threshold.

[0016] By adopting the technical solution, the system introduces a sliding time window standard deviation analysis method to monitor the treatment area temperature fluctuation at a high frequency, generates a pre-warning when the temperature fluctuation exceeds a preset threshold, effectively identifies a temperature instability state that may affect the treatment effect, and provides real-time quality control for clinical operation.

[0017] Optionally, the pre-warning signal generation process of the treatment area temperature fluctuation anomaly comprises: calculating standard deviation of the treatment area temperature within a sliding time window ; wherein, is the number of treatment area temperature values collected within the sliding time window, , is the kth treatment area temperature value collected within the sliding time window, is the mean value of all treatment area temperature values within the sliding time window; if , a pre-warning signal of treatment area temperature fluctuation anomaly is generated; wherein, is a preset fluctuation threshold.

[0018] By adopting the technical solution, the system realizes a temperature fluctuation quantitative evaluation model based on statistical characteristics, calculates the mean value and standard deviation of temperature data within a sliding window, establishes a probability distribution model, triggers a pre-warning when the actual fluctuation exceeds a confidence interval, and improves the sensitivity and specificity of the system to temperature anomalies.

[0019] Optionally, the system further comprises: a maintenance signal generation module that generates a signal for maintenance of the cold and hot compress device based on historical use information of the cold and hot compress device.

[0020] By adopting the technical solution, the system constructs a device health management module based on historical data, records various pre-warning signals and related parameters, establishes a device safety scoring system, realizes a preventive maintenance pre-warning, reduces the risk of device failure, and prolongs the service life.

[0021] Optionally, the signal generation process for maintenance of the cold and hot compress device comprises: Various early warning signals generated during the working process of the record data analysis module and related data during the generation of the early warning signals; Safety scoring of the cold and hot compress device based on historical early warning signals and related data during the generation of the early warning signals; When the safety score of the cold and hot compress device is lower than a preset maintenance threshold, a signal for maintaining the cold and hot compress device is generated.

[0022] By adopting the above technical solution, the system realizes a device state prediction algorithm based on machine learning, establishes a safety scoring model through deep mining of historical early warning data, automatically generates a maintenance suggestion when the score is lower than a threshold, realizes a mode change from passive maintenance to active maintenance, and improves the management efficiency of medical devices.

[0023] In a second aspect, the application provides a storage medium adopting the following technical solution: A storage medium storing a program of the control system of the cold and hot compress device according to any one of the above.

[0024] In summary, the application has at least one of the following beneficial technical effects: (1) The cold and hot compress device can realize cold and hot compress treatment of the human body and ensure the adhesion to the human body, the treatment related data is collected in multiple dimensions, the data analysis module analyzes the data and generates early warning signals, and the control and early warning module executes the early warning signals and adjusts the cold and hot compress terminal, so as to realize accurate control and real-time monitoring of the cold and hot compress treatment process, and improve the safety and effectiveness of the treatment.

[0025] (2) The application calculates the maximum temperature difference between each point in the cold and hot compress terminal and the temperature of the treatment area, and when the temperature difference exceeds a preset threshold, the power adjustment amount is calculated by a specific formula to adjust the power of the heater or the refrigerator, which can effectively balance the temperature distribution in the cold and hot compress terminal, avoid excessive local temperature difference leading to poor treatment effect, and improve the uniformity and comfort of the treatment.

[0026] (3) The application records the historical early warning signals and related data, and scores the safety of the device based on these data, and generates a maintenance signal when the score is lower than a preset maintenance threshold, which helps to understand the running state of the device in time, perform maintenance in advance, reduce the occurrence of device failure, prolong the service life of the device, and ensure that the device is always in good working condition. BRIEF DESCRIPTION OF DRAWINGS

[0027] Figure 1 A control system of a cold and hot compress device is provided. DETAILED DESCRIPTION

[0028] Embodiments of the present application are described below in detail, examples of which are shown in the accompanying drawings.

[0029] In the description of the present specification, the description of the terms "certain embodiments", "one embodiment", "some embodiments", "illustrative embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in connection with the described embodiments or examples are included in at least one embodiment or example of the present application. In the present specification, the illustrative description of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0030] The embodiment of the present application discloses a control system of a cold and hot compress device, referring to Figure 1 , the system comprises: The cold and hot compress terminal comprises a water bag layer and an air bag layer. The water bag layer is made of medical grade PVC material, has a thickness of 0.3-0.5 mm, has good flexibility and heat conductivity, and is internally provided with a water flow channel in a snake shape with a diameter of 5 mm to ensure that water flow uniformly covers the entire treatment area and is used for heat exchange with human skin. The water pump, the heater and the refrigerator connected to the external water supply device, the water pump is a micro diaphragm pump, the flow can be adjusted in the range of 20-100 ml / min, the heater adopts PTC heating sheet, the power range is 20-100 W, the refrigerator is a semiconductor refrigeration sheet, the refrigeration power is 10-50 W, and the temperature can be adjusted to 5-45℃. The air bag layer is located on the outside of the water bag layer, the air bag layer is made of food grade silica gel, has a thickness of 0.2 mm, is internally provided with a plurality of independent air chambers to avoid the influence of single point air leakage on the overall fitting effect, is used for making the water bag layer more closely fit the human skin through inflation and pressurization, and the air pump connected to the external air supply device. The air pump is an oil-free silent air pump, the inflation pressure can be adjusted between 0-30 kPa, the inflation speed is 5 kPa / s, the deflation speed is 8 kPa / s, and the rapid fitting and separation are ensured. The acquisition module includes a distributed temperature sensor array, a core temperature sensor, and a time monitoring unit. The distributed temperature sensor array can use DS18B20 digital temperature sensors, with a total of 16 sensors arranged in a 4×4 matrix inside the water bladder layer. The measurement range is -55~125℃, the accuracy is ±0.5℃, and the sampling frequency is 1 time / second. It is used to collect temperature values ​​at multiple points within the hot and cold compress terminal. The core temperature sensor can be an MLX90614 infrared temperature sensor, with a measurement range of -70~380℃, an accuracy of ±0.2℃, and a sampling frequency of 2 times / second. It is directly fixed at the center of the water bladder layer, facing the treatment area, and is used to collect the temperature value of the treatment area. The time monitoring unit is an RTC real-time clock module based on an STM32 microcontroller, with a timing accuracy of 0.1 seconds. It can record the treatment start time, end time, pause time, etc., and automatically calculate the treatment duration for acquiring the treatment duration. The data analysis module receives data transmitted from the acquisition module in real time and performs data processing and analysis every 0.5 seconds. It analyzes the rate of change of the acquired temperature values ​​in the treatment area. When the rate of change of the temperature values ​​in the treatment area exceeds the preset temperature change rate threshold, it generates a temperature change abnormality warning signal. It also analyzes the changes in the acquired temperature values ​​in the treatment area. When the cumulative temperature deviation exceeds the preset cumulative temperature deviation threshold within a preset time period, it generates a cumulative temperature deviation abnormality warning signal. The control and early warning module executes various early warning signals generated by the data analysis module and simultaneously controls the hot and cold compress terminals to make corresponding adjustments.

[0031] Through the above technical solution, this embodiment provides a control system for a hot and cold compress device. The system includes a hot and cold compress terminal, a data acquisition module, a data analysis module, and a control and early warning module. The hot and cold compress terminal can provide hot and cold compress treatment to the human body while ensuring a good fit. The data acquisition module collects treatment-related data from multiple dimensions. The data analysis module analyzes the data and generates early warning signals. The control and early warning module executes the early warning signals and adjusts the hot and cold compress terminal, thereby achieving precise control and real-time monitoring of the hot and cold compress treatment process and improving the safety and effectiveness of the treatment.

[0032] In one embodiment, the process of generating an abnormal temperature change warning signal includes: The real-time change rate of the temperature value in the treatment area was obtained through the above formula analysis and calculation. ; in, The temperature value of the treatment area at time t is directly acquired by the core temperature sensor. For the treatment area in The temperature value at each time point was directly acquired by the core temperature sensor. The preset time interval can be selected based on the treatment mode and clinical experience. For example, Δt can be set to 1 second in cold compress mode and 2 seconds in hot compress mode. Users can also customize the setting within the range of 0.5 to 5 seconds through the accompanying APP. Real-time change rate of temperature in the treatment area Compared with the preset temperature change rate threshold The preset temperature change rate threshold is compared. The threshold can be determined based on the tolerance of human skin, and can be obtained from a large number of clinical trials. For example, when applying a cold compress, in order to avoid frostbite, the preset temperature change rate threshold can be set to -1.5℃ / second; when applying a hot compress, in order to prevent scalding, the preset temperature change rate threshold can be set to +1℃ / second. like Then, an abnormal temperature change warning signal will be generated; Conversely, the temperature values ​​of the treatment area should be further analyzed and monitored.

[0033] The process of generating the abnormal temperature cumulative deviation warning signal includes: The cumulative temperature deviation of the treatment area within a preset time period is obtained through the above formula analysis and calculation. ; in, The curve showing the temperature change of the treatment area over time can be generated by fitting the temperature values ​​at different time points. The target curve for the temperature change of the treatment area over time can be set by a professional physician according to the treatment needs. For example, the target curve for postoperative cold compresses might be to lower the temperature from room temperature to 10°C in the first 5 minutes, and then maintain the temperature at 10°C for 10 minutes. The preset time period can be determined based on the type of treatment and clinical experience. For example, the preset time period for acute injury treatment can be set to 15 minutes, and the preset time period for chronic inflammation treatment can be set to 30 minutes. Accumulated temperature deviation in the treatment area within a preset time period Cumulative deviation threshold from preset temperature The preset temperature cumulative deviation threshold is compared. This can be obtained by setting up research experience on different treatment effects; like If so, an abnormal cumulative temperature deviation warning signal will be generated.

[0034] By the technical solution, the method for early warning of temperature change abnormality and temperature cumulative deviation abnormality in the cold and hot compress treatment process is provided, the real-time change rate of the temperature value of the treatment area and the temperature cumulative deviation in the preset time period are calculated by specific formulas respectively, the calculation results are compared with the corresponding preset threshold values, and the corresponding early warning signals are generated when the threshold values are exceeded. Abnormal change of the temperature in the treatment process can be found in time, early warning is performed to avoid harm to the human body caused by too fast temperature change or too large cumulative deviation, and stability of the treatment is ensured.

[0035] In an embodiment, the data analysis module further monitors and adjusts the local temperature difference, and the adjustment process includes: calculating the maximum temperature difference between the temperature value of each point in the cold and hot compress terminal and the temperature value of the treatment area; adjusting the power of the heater or the refrigerator when the maximum temperature difference exceeds the preset local temperature difference threshold value.

[0036] The process of adjusting the power of the heater or the refrigerator includes: The temperature difference between the temperature value of each point and the temperature value of the treatment area is obtained by the formula analysis and calculation ; When , it is indicated that the power of the heater or the refrigerator needs to be adjusted; The power adjustment amount is obtained by the formula analysis and calculation ; wherein, is the temperature value of the treatment area, which can be obtained by the core temperature sensor, is the temperature value of the i-th point in the cold and hot compress terminal, which can be obtained by the distributed temperature sensor array, is the maximum value of the temperature difference between the temperature value of each point and the temperature value of the treatment area, is the preset local temperature difference threshold value, which can be determined according to the size of the treatment area and the human body comfort, and is generally set to 2 DEG C. When the temperature difference between some points in the cold and hot compress terminal and the treatment area is too large, the temperature of the treatment area is not uniform, and the treatment effect is affected, , is a control parameter, which can be determined by experiment, for example, the value is 0.3, the value is 0.2, which is used to reasonably determine the power adjustment amount according to the temperature difference; The specific operation of adjusting the power of the heater or the refrigerator is, for example, when the maximum temperature difference exceeds 2℃, if the temperature difference is positive (i.e. the temperature of a certain point in the hot and cold compress terminal is higher than the temperature of the treatment area) and in the hot compress mode, the power of the heater is reduced; if in the cold compress mode, the power of the refrigerator is increased, and vice versa, if the temperature difference is negative, the opposite operation is performed.

[0037] Through the above technical solution, the embodiment provides a method for monitoring and adjusting the local temperature difference of the hot and cold compress terminal. The method calculates the maximum temperature difference between the temperature of each point in the hot and cold compress terminal and the temperature of the treatment area. When the preset threshold is exceeded, the power adjustment amount is calculated by a specific formula to adjust the power of the heater or the refrigerator. The temperature distribution in the hot and cold compress terminal can be effectively balanced, and the local temperature difference is prevented from being too large to cause poor treatment effect, thereby improving the uniformity and comfort of treatment.

[0038] In an embodiment, the data analysis module also monitors the temperature fluctuation of the treatment area, and the monitoring process includes: calculating the standard deviation of the temperature of the treatment area in a preset sliding time window, the size of the preset sliding time window is determined according to the sensitivity requirement of the temperature fluctuation, and is generally set to 10 seconds, i.e. calculating the standard deviation of the temperature of the treatment area in 10 seconds, and sliding the window every 5 seconds to realize real-time monitoring of the temperature fluctuation; When the standard deviation exceeds the preset fluctuation threshold, a warning signal of the temperature fluctuation abnormality of the treatment area is generated.

[0039] The process of generating the warning signal of the temperature fluctuation abnormality of the treatment area includes: The standard deviation of the temperature of the treatment area in the sliding time window is analyzed and calculated by the above formula; wherein, N is the number of the treatment area temperature values collected in the sliding time window, if the sliding time window is 10 seconds and the sampling frequency is 1 time / second, then N = 10, , is the kth treatment area temperature value collected in the sliding time window, is the mean value of all the treatment area temperature values in the sliding time window, which is obtained by dividing the sum of N temperature values by N; If , it means that the temperature fluctuation is large, which may be due to equipment failure or changes in the treatment environment, and a warning signal of the temperature fluctuation abnormality of the treatment area is generated; wherein, is the preset fluctuation threshold, which is obtained by statistical analysis of the temperature fluctuation in the normal treatment process, for example, the preset fluctuation threshold is set to 0.5℃.

[0040] By the technical scheme, the embodiment provides a method for monitoring and warning temperature fluctuation of a treatment area, the method calculates a standard deviation of the temperature of the treatment area in a preset sliding time window, generates a warning signal when the standard deviation exceeds a preset fluctuation threshold, can timely detect unstable fluctuation of the temperature in a treatment process, facilitates timely troubleshooting of equipment faults or adjustment of a treatment environment, and ensures smooth progress of the treatment process.

[0041] In an embodiment, the system further comprises: a maintenance signal generation module configured to generate a signal for maintenance of the cold and hot compress device based on historical use information of the cold and hot compress device, wherein the module comprises a data storage unit, a data processing unit and a signal output unit, the data storage unit is configured to store the historical use information of the cold and hot compress device, such as time of each treatment, temperature parameter, occurrence of a warning signal, etc., the data processing unit is configured to analyze and process the stored data to evaluate a state of the equipment, and the signal output unit is configured to output a corresponding signal when the equipment needs maintenance, and the maintenance signal is divided into a regular maintenance signal (such as cleaning of a water bag, checking of pipeline connection, etc.) and a fault maintenance signal (such as replacement of a sensor, maintenance of an air pump, etc.) according to different states of the equipment.

[0042] The process of generating the signal for maintenance of the cold and hot compress device comprises: The recording data analysis module records various warning signals generated during the working process and related data in the process of generating the warning signals, including cumulative use time of the equipment, working time of each component (such as a water pump, a heater, a refrigerating device, an air pump, etc.), type, frequency, time and corresponding temperature parameter of the occurrence of the warning signal, etc. The cold and hot compress device is scored based on the historical warning signals and the related data in the process of generating the warning signals, and a safety scoring system is established, with a total score of 100 points, different score weights are given according to the severity of the warning signals, 10 points are deducted each time for a temperature change abnormality warning signal, 8 points are deducted each time for a temperature cumulative deviation abnormality warning signal, 5 points are deducted each time for a local temperature difference overrun, 6 points are deducted each time for a temperature fluctuation abnormality warning signal, and the safety score is calculated according to the cumulative deduction, safety score = 100-cumulative deduction score. The preset maintenance threshold is set to 70 points. When the safety score of the cold and hot compress device is lower than 70 points, it indicates that there are many potential problems in the equipment, and the equipment needs maintenance, at this time, the maintenance signal generation module generates the signal for maintenance of the cold and hot compress device, and the signal is sent to the matching APP to remind the user through blinking of an indicator light and buzzing on the equipment.

[0043] Through the technical scheme, the method for generating the maintenance signal of the cold and hot compress device is provided, historical early warning signals and related data are recorded, the safety score of the equipment is generated based on the data, the maintenance signal is generated when the score is lower than the preset maintenance threshold, the running state of the equipment can be known in time, maintenance can be performed in advance, the occurrence of equipment failure is reduced, the service life of the equipment is prolonged, and the equipment is kept in a good working state The embodiment of the application further discloses a storage medium, which stores a program of the control system of the cold and hot compress device.

[0044] Although the embodiments of the application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the application, and those skilled in the art can change, modify, replace and modify the above embodiments within the scope of the application.

Claims

1. A control system for a cold and hot compress device, characterized in that, The system comprises: The cold and hot compress terminal comprises a water bag layer and a gas bag layer, the water bag layer is internally provided with a water flow channel for heat exchange with human skin, and is connected with a water pump, a heater and a refrigerating device of an external water supply device, and the gas bag layer is located outside the water bag layer and is used for making the water bag layer more closely adhere to human skin by inflation and pressurization, and is connected with a gas pump of an external gas supply device; The acquisition module comprises a distributed temperature sensor array, a core temperature sensor and a time monitoring unit, the distributed temperature sensor array is used for acquiring temperature values of multiple points in the cold and hot compress terminal, the core temperature sensor is used for acquiring a temperature value of a treatment area, and the time monitoring unit is used for acquiring a treatment duration; The data analysis module analyzes a corresponding change rate of the acquired temperature value of the treatment area, generates a temperature change abnormality early warning signal when the change rate of the temperature value of the treatment area exceeds a preset temperature change rate threshold, and analyzes a change condition of the acquired temperature value of the treatment area, generates a temperature cumulative deviation abnormality early warning signal when a temperature cumulative deviation in a preset time period exceeds a preset temperature cumulative deviation threshold. The control early warning module executes various early warning signals generated by the data analysis module and synchronously controls the cold and hot compress terminal to perform corresponding adjustment.

2. A control system for a cold and hot compress device according to claim 1, characterized in that The process of generating the temperature change abnormality early warning signal comprises: The real-time change rate of the temperature value of the treatment area is obtained by analyzing and calculating the above formula ; wherein, is a temperature value of the treatment region at a time node t, is a temperature value of the treatment region at a time node t, is a temperature value of the treatment region at a time node t, is a preset time interval; real-time rate of change of the treatment zone temperature value with a preset temperature rate of change threshold performing the comparison; If a temperature change abnormality early warning signal is generated; Conversely, the temperature value of the treatment area is further analyzed and monitored.

3. A control system for a cold / hot compress device according to claim 2, wherein The process of generating the temperature cumulative deviation abnormality early warning signal comprises: The temperature cumulative deviation in the preset time period of the treatment area is obtained by analyzing and calculating the above formula ; wherein, is a target curve of the temperature value of the treatment region over time, is a target curve of the temperature value of the treatment region over time, is a preset time period; Cumulative temperature deviation of a treatment zone over a preset period of time with a preset cumulative temperature deviation threshold comparison is made; If a temperature cumulative deviation abnormality early warning signal is generated.

4. A control system for a cold / hot compress device according to claim 3, wherein The data analysis module further monitors and adjusts a local temperature difference, and the adjustment process comprises: A maximum temperature difference between the temperature value of each point in the cold and hot compress terminal and the temperature value of the treatment area is calculated; When the maximum temperature difference exceeds a preset local temperature difference threshold, the power of the heater or the refrigerating device is adjusted.

5. A control system for a cold / hot compress device according to claim 4, wherein The process of adjusting the power of the heater or the refrigerating device comprises: The temperature difference between each point and the temperature of the treatment area is obtained by analyzing and calculating the above formula ; When the heater or chiller power needs to be adjusted; The power adjustment amount is obtained by analyzing and calculating the above formula ; wherein, is a treatment zone temperature value, is a temperature value of the i-th point in the hot and cold compress terminal, is a maximum value of a temperature difference between each point temperature value and the treatment zone temperature value, is a preset local temperature difference threshold value, , is a control parameter.

6. A control system for a cold / hot compress device according to claim 5, wherein The data analysis module further monitors temperature fluctuation of the treatment area, and the monitoring process comprises: A standard deviation of the temperature of the treatment area in a preset sliding time window is calculated; When the standard deviation exceeds a preset fluctuation threshold, an early warning signal of temperature fluctuation abnormality of the treatment area is generated.

7. A control system for a cold / hot compress device according to claim 6, wherein The process of generating the early warning signal of temperature fluctuation abnormality of the treatment area comprises: The standard deviation of the treatment zone temperature within the sliding time window is calculated by the above formula the standard deviation of the treatment zone temperature within the sliding time window wherein, is the number of treatment region temperature values collected within the sliding time window, , is the kth treatment region temperature value collected within the sliding time window, is the mean of all treatment region temperature values within the sliding time window; If then generate a warning signal of a treatment zone temperature fluctuation anomaly; wherein, is a preset fluctuation threshold.

8. A control system for a cold / hot compress device according to claim 7, wherein The system further comprises: A maintenance signal generation module generates a signal for maintenance of the cold and hot compress device based on historical use information of the cold and hot compress device.

9. A control system for a cold / hot compress device according to claim 8, wherein, The process of generating the signal for maintenance of the cold and hot compress device comprises: Various early warning signals generated in the working process of the data analysis module and related data in the process of generating the early warning signals are recorded; A safety score of the cold and hot compress device is scored based on the historical early warning signals and the related data in the process of generating the early warning signals; When the safety score of the cold and hot compress device is lower than a preset maintenance threshold, a signal for maintenance of the cold and hot compress device is generated.

10. A storage medium, characterized by A program of a control system of a cold and hot compress device according to any one of claims 1-9 is stored.

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