Temperature monitoring system and method based on high-energy red light therapy

Abstract

The invention belongs to the technical field of temperature monitoring, and particularly relates to a temperature monitoring system and method based on high-energy red light therapy. According to the invention, through two-dimensional processing of comprehensive surface and deep layer temperature information, the temperature condition of a treatment area can be known more comprehensively, an abnormal area can be found in real time, accurate temperature regulation measures can be taken, the overheat or overcold condition is effectively avoided, the treatment safety is ensured, and through dynamic monitoring and a feedback mechanism, the treatment accuracy is improved. According to specific requirements of different treatment areas, treatment parameters such as red light power and treatment time can be adjusted in a targeted mode, personalized temperature regulation and control are achieved, it is ensured that each area obtains the most suitable treatment condition, the treatment effect is improved, a closed-loop control system is formed through dynamic regulation and control and a feedback mechanism, and the treatment effect is improved. Real-time temperature feedback adjustment can continuously optimize treatment temperature distribution, and continuity and stability of the treatment effect are guaranteed.

Description

Technical Field

[0001] The present invention belongs to the technical field of temperature monitoring, and in particular relates to a temperature monitoring system and method based on high-energy red light therapy. Background Art

[0002] High-energy red light therapy technology is a non-invasive treatment method widely used in the fields of medical cosmetology, rehabilitation therapy, and skin disease treatment. By acting on human tissues with high-energy red light of a specific wavelength, it can stimulate cell regeneration, promote blood circulation, relieve inflammation, and accelerate wound healing. However, the realization of the therapeutic effect of high-energy red light depends on the precise control of the treatment temperature. If the treatment temperature is too high, it may cause tissue damage or burns; while the temperature is too low, it may reduce the treatment effect. Therefore, how to achieve accurate monitoring and dynamic regulation of temperature during high-energy red light therapy has become a key technical problem that needs to be solved urgently.

[0003] At present, most high-energy red light therapy devices generally have simple power adjustment functions and red light temperature control functions. The control process is based on the preset temperature of the device and the body surface sensing temperature. If the body surface temperature exceeds the critical temperature, the preset temperature of the device will be adjusted to reduce the impact of red light on the skin. However, this method lacks the ability of real-time feedback control, that is, it will not be regulated before it detects abnormal temperature. After the critical temperature, the device control requires a long reaction time, so there are certain defects. And the most critical thing is that since the temperature change of the diseased tissue will deviate from the surrounding skin, it is easy to cause deviations in control only through conventional surface temperature monitoring. At the same time, temperature fluctuations caused by individual differences in patients, characteristics of the treatment area and changes in environmental conditions will also have a certain impact on the control of the device. In addition, the size, shape and distribution characteristics of the treatment area also have a significant impact on the temperature distribution, and a single control strategy is difficult to adapt to the needs of different areas. Summary of the invention

[0004] The purpose of the present invention is to provide a temperature monitoring system and method based on high-energy red light therapy, which can quickly respond to temperature fluctuations during the treatment process, and can also provide personalized temperature control solutions according to the characteristics of different treatment areas, thereby ensuring the treatment effect while improving the safety and comfort of patients.

[0005] The technical solution adopted by the present invention is as follows: A temperature monitoring method based on high-energy red light therapy, comprising: Acquire treatment area information corresponding to a plurality of high-energy red light distribution areas according to the high-energy red light treatment area data, and acquire first temperature distribution data of each treatment area information, wherein the first temperature distribution data is divided into surface temperature information and deep temperature information; Based on dual-dimensional processing of surface temperature information and deep temperature information, abnormal treatment temperature areas are screened out from the treatment area information; Obtaining a dynamic monitoring interval, and obtaining monitoring information of an abnormal treatment temperature area within the dynamic monitoring interval, the monitoring information including temperature change information, red light power information, and treatment time information, and obtaining a corresponding adjustment strategy based on the monitoring information; After adjustment based on the adjustment strategy, the second temperature distribution data of the abnormal treatment temperature area is obtained, and based on the second temperature distribution data as the first temperature distribution data, the process returns to the step of screening out the abnormal treatment temperature area.

[0006] In a preferred embodiment, based on dual-dimensional processing of surface temperature information and deep temperature information, the step of screening out abnormal treatment temperature areas from treatment area information includes: Obtaining a corresponding surface temperature vector according to the surface temperature information; Obtaining a corresponding deep temperature vector according to the deep temperature information; According to the dual-dimensional processing of the surface temperature vector and the deep temperature vector, a first temperature distribution value is obtained; Obtaining a first temperature distribution threshold; Determining whether the first temperature distribution value exceeds a first temperature distribution threshold; If the first temperature distribution value exceeds the first temperature distribution threshold, the temperature of the treatment area is determined to be abnormal and is marked as an abnormal treatment temperature area.

[0007] In a preferred solution, the step of obtaining the dynamic monitoring interval includes: Obtain the time nodes marked as abnormal treatment temperature areas and mark them as intermediate times; Acquire a corresponding first temperature distribution value according to the first temperature distribution data; Obtaining a timetable, wherein the timetable includes a plurality of first temperature distribution intervals and a monitoring duration corresponding to each first temperature distribution interval; Acquire a target first temperature distribution interval according to the first temperature distribution value; Obtaining a corresponding monitoring duration from the timetable according to the target first temperature distribution interval; Get the start time and end time based on the monitoring duration and intermediate time; Get the dynamic monitoring interval based on the start time and end time.

[0008] In a preferred embodiment, the step of obtaining monitoring information of abnormal treatment temperature areas within a dynamic monitoring interval includes obtaining treatment temperature data, treatment time data of the abnormal treatment temperature areas within the dynamic monitoring interval, and red light power data of high-energy red light areas corresponding to the abnormal treatment temperature areas, obtaining temperature change information based on the treatment temperature data, obtaining corresponding red light power information based on the red light power data, and obtaining corresponding treatment time information based on the treatment time data.

[0009] In a preferred embodiment, the step of obtaining temperature change information according to treatment temperature data includes: Acquire multiple abnormal area surface temperature vectors and the abnormal area deep temperature vector corresponding to each abnormal area surface temperature vector according to the treatment temperature data; The temperature change value is obtained according to the surface temperature vectors of the multiple abnormal regions and the deep temperature vector of the abnormal region corresponding to each surface temperature vector of the abnormal region, and is marked as temperature change information.

[0010] In a preferred solution, the step of acquiring corresponding red light power information according to the red light power data includes: Acquire corresponding multiple red light power values ​​according to the red light power data; Corresponding red light power fluctuation values ​​are obtained according to the multiple red light power values ​​and marked as red light power information.

[0011] In a preferred embodiment, the step of obtaining corresponding treatment time information according to the treatment time data includes: Obtain treatment time data of abnormal treatment temperature areas within the dynamic monitoring interval; Obtain the corresponding treatment duration according to the treatment time data; Obtaining a treatment time compensation table, wherein the treatment time compensation table includes multiple treatment time intervals and a treatment time compensation value corresponding to each treatment time interval; Obtain the target treatment duration interval according to the treatment duration; According to the target treatment time interval, the corresponding treatment time compensation value is obtained from the treatment time compensation table and marked as treatment time information.

[0012] In a preferred solution, the step of obtaining a corresponding adjustment strategy according to monitoring information includes: Obtaining corresponding temperature change values ​​according to temperature change information; Obtaining a corresponding red light power fluctuation value according to the red light power information; Obtaining a corresponding treatment time compensation value according to the treatment time information; Obtain the temperature control value of the corresponding high-energy red light distribution area according to the temperature change value, the red light power fluctuation value and the treatment time compensation value; Obtain a temperature control table, wherein the temperature control table includes multiple temperature control interval values ​​and a control strategy corresponding to each temperature control interval value; Obtain the corresponding target temperature control interval value according to the temperature control value; Obtain the corresponding control strategy from the temperature control table according to the target temperature control interval value; Adjust the temperature of high-energy red light therapy according to the regulation strategy.

[0013] In a preferred embodiment, after adjustment based on the adjustment strategy, second temperature distribution data of the abnormal treatment temperature area is obtained, and based on the second temperature distribution data as the first temperature distribution data, the process returns to the step of screening out the abnormal treatment temperature area, including: Obtain the time node for adjusting the temperature of high-energy red light therapy according to the control strategy, and mark it as the start time of the feedback period; Obtain the corresponding feedback duration according to the control strategy; Obtain the end time of the feedback period according to the feedback duration and the start time of the feedback period; Get the feedback period based on the start and end time of the feedback period. Acquire second temperature distribution data of the abnormal treatment temperature area within the feedback period; The second temperature distribution data is returned as the first temperature distribution data to the step of screening out abnormal treatment temperature areas.

[0014] The present invention also provides a temperature monitoring system based on high-energy red light therapy, which is used in the temperature monitoring method based on high-energy red light therapy, comprising: A temperature distribution module is used to obtain treatment area information corresponding to multiple high-energy red light distribution areas according to the high-energy red light treatment area data, and obtain first temperature distribution data of each treatment area information, wherein the first temperature distribution data is divided into surface temperature information and deep temperature information; The abnormal temperature module is used to screen out abnormal treatment temperature areas from the treatment area information based on dual-dimensional processing of surface temperature information and deep temperature information; An adjustment strategy module is used to obtain a dynamic monitoring interval and obtain monitoring information of an abnormal treatment temperature area within the dynamic monitoring interval, the monitoring information including temperature change information, red light power information, and treatment time information, and obtain a corresponding adjustment strategy based on the monitoring information; The adjustment feedback module is used to obtain second temperature distribution data of the abnormal treatment temperature area after adjustment based on the adjustment strategy, and return the second temperature distribution data as the first temperature distribution data to the temperature distribution module.

[0015] And, a temperature monitoring terminal based on high-energy red light therapy, comprising: one or more processors; a storage device having one or more programs stored thereon; When one or more programs are executed by one or more processors, the one or more processors implement a temperature monitoring method based on high-energy red light therapy.

[0016] The technical effects achieved by the present invention are: The present invention, through comprehensive two-dimensional processing of surface and deep temperature information, can more comprehensively understand the temperature conditions of the treatment area, discover abnormal areas in real time and take precise temperature control measures, effectively avoid overheating or overcooling, and ensure the safety of treatment. Through dynamic monitoring and feedback mechanisms, it can adjust treatment parameters in a targeted manner according to the specific needs of different treatment areas, realize personalized temperature control, ensure that each area obtains the most suitable treatment conditions, and improve the treatment effect. Through dynamic control and feedback mechanisms, a closed-loop control system is formed. Real-time temperature feedback adjustment can continuously optimize the treatment temperature distribution, ensure the continuity and stability of the treatment effect, and reduce the patient safety risks caused by problems such as uneven temperature or overheating. Especially in the process of high-energy red light treatment, it ensures the stability and suitability of temperature, thereby greatly reducing the adverse treatment effects or patient discomfort caused by abnormal temperature. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is a flow chart of the method provided by the present invention; Figure 2 It is a system module diagram provided by the present invention. DETAILED DESCRIPTION

[0018] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0019] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0020] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure or characteristic that may be included in at least one implementation of the present invention. The phrase "in a preferred embodiment" that appears in different places in this specification does not refer to the same embodiment, nor is it a separate or selective embodiment that is mutually exclusive with other embodiments.

[0021] Secondly, the present invention is described in detail in conjunction with schematic diagrams. When describing the embodiments of the present invention in detail, for the convenience of explanation, the schematic diagrams are only examples and should not limit the scope of protection of the present invention.

[0022] Please see attached Figure 1 As shown, a temperature monitoring method based on high-energy red light therapy is provided, comprising: S1. Acquire treatment area information corresponding to a plurality of high-energy red light distribution areas according to the high-energy red light treatment area data, and acquire first temperature distribution data of each treatment area information, wherein the first temperature distribution data is divided into surface temperature information and deep temperature information; S2, based on dual-dimensional processing of surface temperature information and deep temperature information, screen out abnormal treatment temperature areas from treatment area information; S3, obtaining a dynamic monitoring interval, and obtaining monitoring information of an abnormal treatment temperature area within the dynamic monitoring interval, the monitoring information including temperature change information, red light power information, and treatment time information, and obtaining a corresponding adjustment strategy according to the monitoring information; S4. After adjustment based on the adjustment strategy, obtain the second temperature distribution data of the abnormal treatment temperature area, and return to the step of screening out the abnormal treatment temperature area based on the second temperature distribution data as the first temperature distribution data.

[0023] As in the above steps S1 to S4, based on the relevant data of the high-energy red light treatment area (such as the size, shape and distribution characteristics of the treatment area), multiple high-energy red light distribution areas are identified, and the temperature data of each treatment area is obtained. The temperature data includes two dimensions of surface temperature information and deep temperature information, which makes the temperature monitoring more comprehensive and detailed, and can reflect the temperature changes of the surface and deep tissues during the treatment process. Through the two-dimensional processing of the surface temperature information and the deep temperature information, it is possible to more accurately judge whether the temperature of each treatment area exceeds the preset safety range. If the temperature data of some areas do not meet the preset conditions (such as the temperature is too high or too low), these areas are marked as "abnormal treatment temperature areas". Once the abnormal area is identified, it enters the dynamic monitoring mode. Within the monitoring interval, the temperature change information, red light power information and treatment time information of the abnormal treatment temperature area are obtained in real time. According to the obtained monitoring information, the temperature is adjusted according to the preset control strategy, such as adjusting the red light power, treatment time and other parameters. After the adjustment, the second temperature distribution data of the area is collected, and the new temperature data is returned to the previous screening step as the first temperature distribution data. Through this feedback mechanism, the temperature during the treatment process can be continuously adjusted. It is optimized to ensure that the temperature of each treatment area is always within a safe and effective range. Through the dual-dimensional processing of comprehensive surface and deep temperature information, it can more comprehensively understand the temperature condition of the treatment area, detect abnormal areas in real time and take precise temperature control measures, effectively avoid overheating or overcooling, and ensure the safety of treatment. Through dynamic monitoring and feedback mechanisms, it can adjust the treatment parameters (such as red light power and treatment time) in a targeted manner according to the specific needs of different treatment areas, realize personalized temperature control, ensure that each area obtains the most suitable treatment conditions, and improve the treatment effect. Through dynamic control and feedback mechanisms, a closed-loop control system is formed. Real-time temperature feedback adjustment can continuously optimize the treatment temperature distribution, ensure the continuity and stability of the treatment effect, and reduce the patient safety risks caused by problems such as uneven temperature or overheating. Especially in the process of high-energy red light treatment, ensure the stability and suitability of temperature, thereby greatly reducing the adverse treatment effects or patient discomfort caused by abnormal temperature. Precise control of temperature during treatment can promote the maximization of treatment effects. For example, in the treatment of skin diseases, appropriate treatment temperature helps to accelerate cell regeneration and promote blood circulation, and optimize the treatment effect without causing excessive stimulation.

[0024] In a preferred embodiment, based on dual-dimensional processing of surface temperature information and deep temperature information, the step of screening out abnormal treatment temperature areas from treatment area information includes: S201, acquiring a corresponding surface temperature vector according to surface temperature information; S202, acquiring a corresponding deep temperature vector according to the deep temperature information; S203, performing dual-dimensional processing according to the surface temperature vector and the deep temperature vector, and obtaining a first temperature distribution value; S204, obtaining a first temperature distribution threshold; S205, determining whether the first temperature distribution value exceeds a first temperature distribution threshold; If the first temperature distribution value exceeds the first temperature distribution threshold, the temperature of the treatment area is determined to be abnormal and is marked as an abnormal treatment temperature area.

[0025] As in the above steps S201 to S205, the first temperature distribution data of each treatment area is obtained and divided into surface temperature information and deep temperature information. The surface temperature information refers to the temperature distribution of the skin surface of the treatment area, and the deep temperature information refers to the temperature distribution of the internal tissue of the treatment area, which is obtained by non-contact temperature measurement equipment or imaging technology (such as infrared thermal imaging). The deep temperature information can be obtained by microwave radiation temperature measurement method or other methods capable of measuring deep temperature. The calculation formula of the microwave radiation temperature measurement method is: , where is represented by the deep temperature, P is represented by the received power, k is represented by the system calibration constant, Expressed as the temperature-dependent conductivity, It is expressed as propagation loss, which is an existing mature technology and will not be described in detail here. The surface temperature information and the deep temperature information are respectively converted into vector forms (surface temperature vector and deep temperature vector). The surface temperature vector and the deep temperature vector are combined to calculate the first temperature distribution value of each treatment area. The calculation formula of the first temperature distribution value is F=α*B+β*S, where F is represented by the first temperature distribution value, B is represented by the surface temperature vector, S is represented by the deep temperature vector, α is represented by the surface temperature weight, and β is represented by the deep temperature weight. It is dynamically adjusted according to the treatment site. The first temperature distribution threshold is a preset safe temperature range. Based on the treatment goal and tissue tolerance setting, the first temperature distribution value is compared with the threshold. If it exceeds the threshold, that is, the temperature is abnormal, it is marked as an abnormal treatment temperature area, which can more comprehensively reflect the temperature distribution of the treatment area, avoid misjudgment that may be caused by single temperature information, and can more accurately judge whether the temperature is abnormal, thereby improving the accuracy and reliability of recognition. It can be flexibly adjusted according to different treatment goals (such as deep tissue heating or surface cooling) to adapt to a variety of high-energy red light treatment scenarios.

[0026] In a preferred embodiment, the step of obtaining the dynamic monitoring interval includes: S3011, obtaining a time node marked as an abnormal treatment temperature area, and marking it as an intermediate time; S3012, acquiring a corresponding first temperature distribution value according to the first temperature distribution data; S3013, obtaining a timetable, wherein the timetable includes a plurality of first temperature distribution intervals and a monitoring duration corresponding to each first temperature distribution interval; S3014, obtaining a target first temperature distribution interval according to the first temperature distribution value; S3015, obtaining a corresponding monitoring duration from the schedule according to the target first temperature distribution interval; S3016. Obtain the start time and the end time according to the monitoring duration and the intermediate time; S3017. Obtain a dynamic monitoring interval according to the start time and the end time.

[0027] As in the above steps S3011 to S3017, the time point of occurrence of abnormal temperature in the current area is determined according to the marked time node of the abnormal treatment temperature area, and the first temperature distribution value of the abnormal area is extracted from the first temperature distribution data as the intermediate time. The timetable is a mapping relationship table, which includes multiple first temperature distribution intervals and their corresponding monitoring durations. The first temperature distribution value is matched with the temperature distribution interval in the timetable to find the target interval. According to the target temperature distribution interval, the corresponding monitoring duration is extracted from the timetable. The start time is based on the intermediate time, half of the monitoring duration is moved forward to determine the starting point of the dynamic monitoring interval, and the end time is based on the intermediate time, half of the monitoring duration is moved backward to determine the end point of the dynamic monitoring interval. The start time and the end time are combined to form a complete dynamic monitoring interval. The duration of the dynamic monitoring interval can be flexibly adjusted according to the actual situation to avoid data omission or resource waste caused by too long or too short monitoring time. The monitoring duration is set according to the temperature distribution interval to ensure that monitoring resources are focused on more serious abnormal situations, thereby improving processing efficiency and responsiveness.

[0028] In a preferred embodiment, the step of obtaining monitoring information of abnormal treatment temperature areas within a dynamic monitoring interval includes obtaining treatment temperature data, treatment time data of the abnormal treatment temperature areas within the dynamic monitoring interval, and red light power data of high-energy red light areas corresponding to the abnormal treatment temperature areas, obtaining temperature change information based on the treatment temperature data, obtaining corresponding red light power information based on the red light power data, and obtaining corresponding treatment time information based on the treatment time data.

[0029] As mentioned above, within the dynamic monitoring interval, the treatment temperature data of the abnormal treatment temperature area are first obtained. These data include information in two dimensions, surface temperature and deep temperature, which can reflect the temperature fluctuations during the treatment process. Through real-time monitoring of these data, it is possible to accurately understand whether there is any abnormality in the temperature of the treatment area, such as the temperature is too high or too low. The treatment time data includes the duration of the treatment. The red light power data is obtained, which reflects the red light energy intensity applied to the treatment area during the treatment. The temperature change information is obtained based on the treatment temperature data, the corresponding red light power information is obtained based on the red light power data, and the corresponding treatment time information is obtained based on the treatment time data. The temperature fluctuations in the abnormal treatment temperature area and the relationship between the red light power and the treatment time can be fully obtained. This multi-dimensional data monitoring makes temperature control more accurate and can identify the impact of different factors on temperature.

[0030] In a preferred embodiment, the step of obtaining temperature change information according to treatment temperature data includes: S3021, acquiring multiple abnormal area surface temperature vectors and the abnormal area deep temperature vector corresponding to each abnormal area surface temperature vector according to the treatment temperature data; S3022. Obtain a temperature change value according to a plurality of abnormal region surface temperature vectors and an abnormal region deep temperature vector corresponding to each abnormal region surface temperature vector, and mark it as temperature change information.

[0031] As in the above steps S3021 to S3022, in the dynamic monitoring interval, the temperature data of the abnormal treatment temperature area is obtained in real time through sensors or imaging devices, including surface temperature and deep temperature. A surface temperature vector is generated based on the surface temperature data of the abnormal area, and a deep temperature vector is generated based on the corresponding deep temperature data to reflect the change law of the internal tissue temperature. For multiple abnormal areas, surface and deep temperature vectors are generated respectively, and the temperature change value is calculated by combining the surface temperature vectors of the multiple abnormal areas with the corresponding deep temperature vectors. The temperature change value is calculated by the formula: , where W represents the temperature change value, i represents the number of the surface temperature vector of the abnormal area and the number of the deep temperature vector of each abnormal area, i=1,2,3…n, Represented as the surface temperature vector of the i-th abnormal area, It is expressed as the surface temperature vector of the i-th abnormal area, which can fully capture the temperature characteristics of the treatment area and avoid misjudgment that may be caused by a single data source.

[0032] In a preferred embodiment, the step of acquiring corresponding red light power information according to the red light power data includes: S3031. Acquire multiple corresponding red light power values ​​according to the red light power data; S3032. Obtain corresponding red light power fluctuation values ​​according to the multiple red light power values, and mark them as red light power information.

[0033] As in the above steps S3031 to S3032, red light power data is collected from the high-energy red light area corresponding to the abnormal treatment temperature area in the dynamic monitoring interval, the collected red light power data is segmented or discretized, and multiple red light power values ​​are extracted. Based on the extracted multiple red light power values, the red light fluctuation value is calculated. The calculation formula of the red light power fluctuation value is: , where G represents the red light power fluctuation value, r represents the number of multiple red light power values, r=1,2,3…t, Expressed as the rth red light power value, the calculated red light power fluctuation value is used as the red light power information, which can accurately evaluate the stability of the red light output, thereby providing data support for the cause analysis of temperature anomalies. The red light power fluctuation value directly reflects the dynamic changes of the red light energy input, and provides a reliable basis for formulating efficient control strategies.

[0034] In a preferred embodiment, the step of obtaining corresponding treatment time information according to the treatment time data includes: S3041, obtaining treatment time data of abnormal treatment temperature areas within the dynamic monitoring interval; S3042, obtaining corresponding treatment duration according to the treatment time data; S3043, obtaining a treatment time compensation table, wherein the treatment time compensation table includes multiple treatment time intervals and a treatment time compensation value corresponding to each treatment time interval; S3044, obtaining a target treatment duration interval according to the treatment duration; S3045. Obtain corresponding treatment time compensation values ​​from the treatment time compensation table according to the target treatment time interval, and mark them as treatment time information.

[0035] As in the above steps S301 to S3045, treatment time data is extracted from the abnormal treatment temperature area within the dynamic monitoring interval, and the actual treatment duration of high-energy red light in the abnormal area is recorded. The actual treatment time is calculated based on the treatment time data, which is usually the difference between the start time and the end time recorded in the treatment time data. The treatment time compensation table is a preset association table that lists multiple treatment time intervals and their corresponding treatment time compensation values, which is used to guide how to adjust the red light power or treatment strategy according to the treatment time. According to the actual treatment time, the treatment time interval in the compensation table is matched to find the corresponding target treatment time interval. According to the target treatment time interval, the corresponding treatment time compensation value is extracted from the compensation table and marked as treatment time information, which can quantify the impact of treatment time on the temperature of the abnormal area, thereby providing a more accurate basis for temperature control. The treatment time compensation table provides a standardized compensation mechanism, which enables the system to quickly select appropriate compensation values ​​and improve control efficiency and accuracy.

[0036] In a preferred embodiment, the step of obtaining a corresponding adjustment strategy according to monitoring information includes: S3051, obtaining a corresponding temperature change value according to the temperature change information; S3052. Obtain a corresponding red light power fluctuation value according to the red light power information; S3053, obtaining a corresponding treatment time compensation value according to the treatment time information; S3054, obtaining a temperature control value of the corresponding high-energy red light distribution area according to the temperature change value, the red light power fluctuation value and the treatment time compensation value; S3055, obtaining a temperature control table, wherein the temperature control table includes a plurality of temperature control interval values ​​and a control strategy corresponding to each temperature control interval value; S3056, obtaining a corresponding target temperature control interval value according to the temperature control value; S3057, obtaining a corresponding control strategy from the temperature control table according to the target temperature control interval value; S3058. Adjust the temperature of high-energy red light therapy according to the control strategy.

[0037] As in the above steps S3051 to S3058, the temperature change value extracted from the temperature change information, the red light power fluctuation value extracted from the red light power information, and the treatment time compensation value obtained from the treatment time information, the temperature control value is calculated according to the temperature change value, the red light power fluctuation value and the treatment time compensation value. The temperature control value is calculated by the formula K=W*G*T, where K represents the temperature control value, W represents the temperature change value, G represents the red light power fluctuation value, and T represents the treatment time compensation value. The temperature control table includes multiple temperature control interval values ​​and their corresponding control strategies. According to the temperature control value, the temperature control interval values ​​in the control table are matched. The target temperature control interval value is obtained, and the control strategy corresponding to the target temperature control interval value is extracted from the temperature control table. The strategy content may include operation instructions such as adjusting the red light power, changing the treatment time or distribution area, and so on. According to the obtained control strategy, the red light power, treatment time or treatment area distribution is adjusted in real time to ensure that the temperature in the abnormal area returns to the normal range. By comprehensively considering the temperature changes, red light power and treatment time, a targeted control strategy is formulated to significantly improve the accuracy of temperature control. It can dynamically adapt to the combined effects of temperature, power fluctuations and treatment time, ensure that the temperature of the treatment area is maintained within the optimal range, and enhance the treatment effect.

[0038] In a preferred embodiment, after adjustment based on the adjustment strategy, second temperature distribution data of the abnormal treatment temperature area is obtained, and based on the second temperature distribution data as the first temperature distribution data, the process returns to the step of screening out the abnormal treatment temperature area, including: S401, obtaining a time node for adjusting the high-energy red light treatment temperature according to a control strategy, and marking it as the start time of the feedback period; S402, obtaining corresponding feedback duration according to the control strategy; S403, obtaining the end time of the feedback period according to the feedback duration and the start time of the feedback period; S404: Obtain the feedback period according to the start time and end time of the feedback period. S405, obtaining second temperature distribution data of the abnormal treatment temperature area within the feedback period; S406: Return the second temperature distribution data as the first temperature distribution data to the step of screening out abnormal treatment temperature areas.

[0039] As in the above steps S401 to S406, according to the time node of the execution of the control strategy, it is marked as the start time of the feedback period, and the corresponding feedback duration is extracted from the control strategy. The feedback duration is a preset time window used to observe the temperature changes of the area after temperature control. According to the feedback duration and the start time, the end time of the feedback period is calculated, and the start time and end time of the feedback period are combined to generate a complete feedback period. During the feedback period, the second temperature distribution data of the abnormal treatment temperature area is obtained, and the surface temperature and deep temperature changes in the area are recorded. The obtained second temperature distribution data is used as the first temperature distribution data, and the process returns to the step of screening out the abnormal treatment temperature area. Through the closed-loop feedback mechanism, the control effect is re-evaluated to ensure that the temperature of the treatment area reaches the expected target, and the temperature change data within the feedback period is obtained in real time. The control strategy is re-evaluated and adjusted according to the new temperature distribution data, which can dynamically adapt to the actual situation. The setting of the feedback period provides a time window for verifying the control effect to ensure the effectiveness of the control strategy.

[0040] Please see attached Figure 2 As shown, the present invention also provides a temperature monitoring system based on high-energy red light therapy, which is used in the temperature monitoring method based on high-energy red light therapy, comprising: A temperature distribution module is used to obtain treatment area information corresponding to multiple high-energy red light distribution areas according to the high-energy red light treatment area data, and obtain first temperature distribution data of each treatment area information, wherein the first temperature distribution data is divided into surface temperature information and deep temperature information; The abnormal temperature module is used to screen out abnormal treatment temperature areas from the treatment area information based on dual-dimensional processing of surface temperature information and deep temperature information; An adjustment strategy module is used to obtain a dynamic monitoring interval and obtain monitoring information of an abnormal treatment temperature area within the dynamic monitoring interval, the monitoring information including temperature change information, red light power information, and treatment time information, and obtain a corresponding adjustment strategy based on the monitoring information; The adjustment feedback module is used to obtain second temperature distribution data of the abnormal treatment temperature area after adjustment based on the adjustment strategy, and return the second temperature distribution data as the first temperature distribution data to the temperature distribution module.

[0041] As mentioned above, the temperature distribution module obtains the treatment area information corresponding to multiple high-energy red light distribution areas according to the high-energy red light treatment area data, and obtains the first temperature distribution data for each treatment area. The first temperature distribution data is divided into surface temperature information and deep temperature information, which can comprehensively reflect the temperature state of the treatment area. The surface temperature information mainly reflects the skin surface temperature, while the deep temperature information reflects the temperature of the deep tissue. Through these data, the temperature distribution of the treatment area at different depths can be accurately obtained. The abnormal temperature module performs two-dimensional processing based on the first temperature distribution data, especially the surface temperature information and the deep temperature information, and screens out abnormal treatment temperature areas from the treatment area information. By comparing with the preset safety temperature range, the system can identify areas with excessive temperatures. These areas are marked as abnormal treatment temperature areas, and can quickly identify and locate the treatment areas with abnormal temperatures to prevent temperature problems from affecting the treatment effect or causing patient discomfort. The strategy adjustment module obtains abnormal treatment within the dynamic monitoring interval. The monitoring information of the treatment temperature area includes temperature change information, red light power information, and treatment time information. By obtaining this information, the system can accurately analyze the causes of abnormal temperature during the treatment process and formulate corresponding adjustment strategies. The adjustment strategies may include adjusting the red light power, changing the treatment time, or adjusting other parameters of the treatment area, so that the treatment temperature returns to a safe range. Based on the adjustment strategy, the adjustment feedback module performs necessary adjustments. After the adjustment, the second temperature distribution data of the abnormal treatment temperature area is obtained. The second temperature distribution data is obtained based on the adjusted treatment temperature state and returned to the temperature distribution module as the new first temperature distribution data. Through this feedback mechanism, the system can make multiple adjustments and optimizations to ensure that the temperature is always within the ideal range during the treatment process. It can monitor and respond to temperature abnormalities in real time to reduce adverse treatment effects caused by temperature abnormalities. By regulating the red light power and reasonably adjusting the treatment time, it can ensure that the treatment temperature is always maintained within the optimal treatment range to achieve the ideal treatment effect.

[0042] And, a temperature monitoring terminal based on high-energy red light therapy, comprising: one or more processors; a storage device having one or more programs stored thereon; When one or more programs are executed by one or more processors, the one or more processors implement a temperature monitoring method based on high-energy red light therapy.

[0043] The above is only a preferred embodiment of the present invention. It should be noted that, for those skilled in the art, several improvements and modifications can be made without departing from the principles of the present invention, and these improvements and modifications should also be considered as the protection scope of the present invention. The structures, devices and operating methods not specifically described and explained in the present invention shall be implemented according to the conventional means in the art unless otherwise specified and limited.

Claims

1. A temperature monitoring method based on high-energy red light therapy, characterized in that: include: Acquire treatment area information corresponding to a plurality of high-energy red light distribution areas according to the high-energy red light treatment area data, and acquire first temperature distribution data of each treatment area information, wherein the first temperature distribution data is divided into surface temperature information and deep temperature information; Based on dual-dimensional processing of surface temperature information and deep temperature information, abnormal treatment temperature areas are screened out from the treatment area information; Obtaining a dynamic monitoring interval, and obtaining monitoring information of an abnormal treatment temperature area within the dynamic monitoring interval, the monitoring information including temperature change information, red light power information, and treatment time information, and obtaining a corresponding adjustment strategy based on the monitoring information; After adjustment based on the adjustment strategy, the second temperature distribution data of the abnormal treatment temperature area is obtained, and based on the second temperature distribution data as the first temperature distribution data, the process returns to the step of screening out the abnormal treatment temperature area.

2. The temperature monitoring method based on high-energy red light therapy according to claim 1, characterized in that: Based on the dual-dimensional processing of surface temperature information and deep temperature information, the steps of screening out abnormal treatment temperature areas from the treatment area information include: Obtaining a corresponding surface temperature vector according to the surface temperature information; Obtaining a corresponding deep temperature vector according to the deep temperature information; According to the dual-dimensional processing of the surface temperature vector and the deep temperature vector, a first temperature distribution value is obtained; Obtaining a first temperature distribution threshold; Determining whether the first temperature distribution value exceeds a first temperature distribution threshold; If the first temperature distribution value exceeds the first temperature distribution threshold, the temperature of the treatment area is determined to be abnormal and is marked as an abnormal treatment temperature area.

3. The temperature monitoring method based on high-energy red light therapy according to claim 1, characterized in that: The steps for obtaining the dynamic monitoring interval include: Obtain the time nodes marked as abnormal treatment temperature areas and mark them as intermediate times; Acquire a corresponding first temperature distribution value according to the first temperature distribution data; Obtaining a timetable, wherein the timetable includes a plurality of first temperature distribution intervals and a monitoring duration corresponding to each first temperature distribution interval; Acquire a target first temperature distribution interval according to the first temperature distribution value; Obtaining a corresponding monitoring duration from the timetable according to the target first temperature distribution interval; Get the start time and end time based on the monitoring duration and intermediate time; Get the dynamic monitoring interval based on the start time and end time.

4. The temperature monitoring method based on high-energy red light therapy according to claim 1, characterized in that: The step of obtaining monitoring information of abnormal treatment temperature areas within a dynamic monitoring interval includes obtaining treatment temperature data, treatment time data of the abnormal treatment temperature areas within the dynamic monitoring interval, and red light power data of high-energy red light areas corresponding to the abnormal treatment temperature areas, obtaining temperature change information based on the treatment temperature data, obtaining corresponding red light power information based on the red light power data, and obtaining corresponding treatment time information based on the treatment time data.

5. The temperature monitoring method based on high-energy red light therapy according to claim 4, characterized in that: The steps of obtaining temperature change information according to treatment temperature data include: Acquire multiple abnormal area surface temperature vectors and the abnormal area deep temperature vector corresponding to each abnormal area surface temperature vector according to the treatment temperature data; The temperature change value is obtained according to the surface temperature vectors of the multiple abnormal regions and the deep temperature vector of the abnormal region corresponding to each surface temperature vector of the abnormal region, and is marked as temperature change information.

6. The temperature monitoring method based on high-energy red light therapy according to claim 4, characterized in that: The step of obtaining corresponding red light power information according to the red light power data includes: Acquire corresponding multiple red light power values ​​according to the red light power data; Corresponding red light power fluctuation values ​​are obtained according to the multiple red light power values ​​and marked as red light power information.

7. The temperature monitoring method based on high-energy red light therapy according to claim 4, characterized in that: The step of obtaining corresponding treatment time information according to the treatment time data includes: Obtain the corresponding treatment duration according to the treatment time data; Obtaining a treatment time compensation table, wherein the treatment time compensation table includes multiple treatment time intervals and a treatment time compensation value corresponding to each treatment time interval; Obtain the target treatment duration interval according to the treatment duration; According to the target treatment time interval, the corresponding treatment time compensation value is obtained from the treatment time compensation table and marked as treatment time information.

8. The temperature monitoring method based on high-energy red light therapy according to claim 1, characterized in that: The steps of obtaining the corresponding adjustment strategy according to the monitoring information include: Obtaining corresponding temperature change values ​​according to temperature change information; Obtaining a corresponding red light power fluctuation value according to the red light power information; Obtaining a corresponding treatment time compensation value according to the treatment time information; Obtain the temperature control value of the corresponding high-energy red light distribution area according to the temperature change value, the red light power fluctuation value and the treatment time compensation value; Obtain a temperature control table, wherein the temperature control table includes multiple temperature control interval values ​​and a control strategy corresponding to each temperature control interval value; Obtain the corresponding target temperature control interval value according to the temperature control value; Obtain the corresponding control strategy from the temperature control table according to the target temperature control interval value; Adjust the temperature of high-energy red light therapy according to the regulation strategy.

9. The temperature monitoring method based on high-energy red light therapy according to claim 1, characterized in that: After adjusting based on the adjustment strategy, obtaining second temperature distribution data of the abnormal treatment temperature area, and returning to the step of screening out the abnormal treatment temperature area based on the second temperature distribution data as the first temperature distribution data, including: Obtain the time node for adjusting the temperature of high-energy red light therapy according to the control strategy, and mark it as the start time of the feedback period; Obtain the corresponding feedback duration according to the control strategy; Obtain the end time of the feedback period according to the feedback duration and the start time of the feedback period; Get the feedback period based on the start and end time of the feedback period. Acquire second temperature distribution data of the abnormal treatment temperature area within the feedback period; The second temperature distribution data is returned as the first temperature distribution data to the step of screening out abnormal treatment temperature areas.

10. A temperature monitoring system based on high-energy red light therapy, applied to the temperature monitoring method based on high-energy red light therapy according to any one of claims 1 to 8, characterized in that: include: A temperature distribution module is used to obtain treatment area information corresponding to multiple high-energy red light distribution areas according to the high-energy red light treatment area data, and obtain first temperature distribution data of each treatment area information, wherein the first temperature distribution data is divided into surface temperature information and deep temperature information; The abnormal temperature module is used to screen out abnormal treatment temperature areas from the treatment area information based on dual-dimensional processing of surface temperature information and deep temperature information; An adjustment strategy module is used to obtain a dynamic monitoring interval and obtain monitoring information of an abnormal treatment temperature area within the dynamic monitoring interval, the monitoring information including temperature change information, red light power information, and treatment time information, and obtain a corresponding adjustment strategy based on the monitoring information; The adjustment feedback module is used to obtain second temperature distribution data of the abnormal treatment temperature area after adjustment based on the adjustment strategy, and return the second temperature distribution data as the first temperature distribution data to the temperature distribution module.

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