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

Abstract

The present application belongs to the technical field of temperature monitoring, and specifically relates to a temperature monitoring system and method based on high-energy red light therapy. The present application can comprehensively understand the temperature condition of the treatment area through the two-dimensional processing of surface and deep temperature information, find abnormal areas in real time and take accurate temperature control measures, effectively avoid overheating or overcooling, ensure treatment safety, adjust treatment parameters such as red light power and treatment time according to the specific needs of different treatment areas through dynamic monitoring and feedback mechanism, realize personalized temperature control, ensure that each area obtains the most suitable treatment conditions, and improve treatment effect. Through dynamic regulation and feedback mechanism, a closed-loop control system is formed, and real-time temperature feedback adjustment can continuously optimize the treatment temperature distribution, ensuring the continuity and stability of the treatment effect.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of temperature monitoring, and particularly relates to a temperature monitoring system and method based on high-energy red light treatment. BACKGROUND

[0002] High-energy red light treatment technology is a non-invasive treatment method widely used in medical beauty, rehabilitation physiotherapy and skin disease treatment. By applying high-energy red light of a specific wavelength to human tissues, cell regeneration can be stimulated, blood circulation can be promoted, inflammation can be relieved, and wound healing can be accelerated. However, the realization of the treatment effect of high-energy red light depends on the accurate control of the treatment temperature. If the treatment temperature is too high, it may cause tissue damage or burns; and if the temperature is too low, it may reduce the treatment effect. Therefore, how to accurately monitor and dynamically control the temperature during the high-energy red light treatment process has become a key technical problem to be solved.

[0003] At present, most high-energy red light treatment devices generally have simple power adjustment function and red light temperature regulation function, and the regulation process is based on the preset temperature of the device and the body surface temperature. When 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 regulation, that is, it will not be regulated until the temperature anomaly is detected, and the device needs a long time to react after the critical point, so there are certain defects. And the most critical is that the temperature change of the diseased tissue will deviate from the surrounding skin, so only through the conventional body surface temperature monitoring, the regulation may deviate, and the temperature fluctuations caused by individual differences of patients, characteristics of treatment areas and changes of environmental conditions will also affect the regulation 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 regulation strategy cannot meet the needs of different areas. SUMMARY

[0004] The purpose of the present application is to provide a temperature monitoring system and method based on high-energy red light treatment, which can quickly respond to temperature fluctuations during treatment, and also provide personalized temperature regulation schemes according to the characteristics of different treatment areas, to ensure treatment effect while improving patient safety and comfort.

[0005] The technical solutions adopted by the present application are as follows:

[0006] A temperature monitoring method based on high-energy red light treatment, comprising:

[0007] According to the high-energy red light treatment area data, a plurality of high-energy red light distribution area corresponding treatment area information is obtained, and first temperature distribution data of each treatment area information is obtained, the first temperature distribution data is divided into surface temperature information and deep layer temperature information;

[0008] screening an abnormal treatment temperature region from the treatment region information based on the surface temperature information and the deep temperature information in two dimensions;

[0009] obtaining a dynamic monitoring interval, and obtaining monitoring information of the abnormal treatment temperature region in 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;

[0010] After adjustment based on the adjustment strategy, second temperature distribution data of the abnormal treatment temperature region is obtained, and the second temperature distribution data is taken as the first temperature distribution data to return to the step of screening the abnormal treatment temperature region.

[0011] In a preferred scheme, the step of screening the abnormal treatment temperature region from the treatment region information based on the surface temperature information and the deep temperature information in two dimensions includes:

[0012] a surface temperature vector corresponding to the surface temperature information is obtained;

[0013] a deep temperature vector corresponding to the deep temperature information is obtained;

[0014] the surface temperature vector and the deep temperature vector are processed in two dimensions, and a first temperature distribution value is obtained;

[0015] a first temperature distribution threshold is obtained;

[0016] whether the first temperature distribution value exceeds the first temperature distribution threshold is determined;

[0017] if the first temperature distribution value exceeds the first temperature distribution threshold, it is determined that the treatment region temperature is abnormal, and the abnormal treatment temperature region is marked.

[0018] In a preferred scheme, the step of obtaining the dynamic monitoring interval includes:

[0019] a time node marked as the abnormal treatment temperature region is obtained, and is marked as an intermediate time;

[0020] a first temperature distribution value corresponding to the first temperature distribution data is obtained;

[0021] a time table is obtained, wherein the time table includes a plurality of first temperature distribution intervals and a monitoring duration corresponding to each first temperature distribution interval;

[0022] a target first temperature distribution interval is obtained according to the first temperature distribution value;

[0023] a corresponding monitoring duration is obtained from the time table according to the target first temperature distribution interval;

[0024] According to the monitoring duration and the intermediate time, the start time and the end time are obtained;

[0025] According to the start time and the end time, the dynamic monitoring interval is obtained.

[0026] In a preferred embodiment, the step of obtaining the monitoring information of the abnormal treatment temperature region in the dynamic monitoring interval includes obtaining treatment temperature data, treatment time data of the abnormal treatment temperature region in the dynamic monitoring interval, and red light power data of the high-energy red light region corresponding to the abnormal treatment temperature region, obtaining temperature change information according to the treatment temperature data, obtaining corresponding red light power information according to the red light power data, and obtaining corresponding treatment time information according to the treatment time data.

[0027] In a preferred embodiment, the step of obtaining the temperature change information according to the treatment temperature data includes:

[0028] According to the treatment temperature data, a plurality of abnormal region surface temperature vectors and an abnormal region deep layer temperature vector corresponding to each abnormal region surface temperature vector are obtained;

[0029] According to the plurality of abnormal region surface temperature vectors and the abnormal region deep layer temperature vector corresponding to each abnormal region surface temperature vector, a temperature change value is obtained and marked as temperature change information.

[0030] In a preferred embodiment, the step of obtaining the corresponding red light power information according to the red light power data includes:

[0031] According to the red light power data, a plurality of red light power values are obtained;

[0032] According to the plurality of red light power values, a red light power fluctuation value is obtained and marked as red light power information.

[0033] In a preferred embodiment, the step of obtaining the corresponding treatment time information according to the treatment time data includes:

[0034] The treatment time data of the abnormal treatment temperature region in the dynamic monitoring interval is obtained;

[0035] According to the treatment time data, a corresponding treatment duration is obtained;

[0036] A treatment duration compensation table is obtained, wherein the treatment duration compensation table includes a plurality of treatment duration intervals and a treatment time compensation value corresponding to each treatment duration interval;

[0037] According to the treatment duration, a target treatment duration interval is obtained;

[0038] According to the target treatment duration interval, a corresponding treatment time compensation value is obtained from the treatment duration compensation table and marked as treatment time information.

[0039] In a preferred solution, the step of obtaining the corresponding adjustment strategy according to the monitoring information comprises:

[0040] obtaining a corresponding temperature change value according to the temperature change information;

[0041] obtaining a corresponding red light power fluctuation value according to the red light power information;

[0042] obtaining a corresponding treatment time compensation value according to the treatment time information;

[0043] obtaining a corresponding temperature regulation value of the high-energy red light distribution area according to the temperature change value, the red light power fluctuation value and the treatment time compensation value;

[0044] obtaining a temperature regulation table, wherein the temperature regulation table comprises a plurality of temperature regulation interval values and a corresponding regulation strategy for each temperature regulation interval value;

[0045] obtaining a corresponding target temperature regulation interval value according to the temperature regulation value;

[0046] obtaining a corresponding regulation strategy from the temperature regulation table according to the target temperature regulation interval value;

[0047] adjusting the high-energy red light treatment temperature according to the regulation strategy.

[0048] In a preferred solution, after the adjustment based on the adjustment strategy, second temperature distribution data of the abnormal treatment temperature area is obtained, and the step of screening out the abnormal treatment temperature area is returned to based on the second temperature distribution data as the first temperature distribution data, comprising:

[0049] obtaining a time node of adjusting the high-energy red light treatment temperature according to the regulation strategy, and marking it as the start time of the feedback period;

[0050] obtaining a corresponding feedback duration according to the regulation strategy;

[0051] obtaining the end time of the feedback period according to the feedback duration and the start time of the feedback period;

[0052] obtaining the feedback period according to the start time and the end time of the feedback period,

[0053] obtaining second temperature distribution data of the abnormal treatment temperature area in the feedback period;

[0054] returning the second temperature distribution data to the step of screening out the abnormal treatment temperature area as the first temperature distribution data.

[0055] The application also provides a temperature monitoring system based on high-energy red light treatment for the above-mentioned temperature monitoring method based on high-energy red light treatment, comprising:

[0056] a temperature distribution module configured to obtain treatment region information corresponding to a plurality of high-energy red light distribution regions according to high-energy red light treatment region data, and obtain first temperature distribution data of each treatment region information, the first temperature distribution data being divided into surface temperature information and deep layer temperature information;

[0057] an abnormal temperature module configured to filter out an abnormal treatment temperature region from the treatment region information based on two-dimensional processing of the surface temperature information and the deep layer temperature information;

[0058] an adjustment strategy module configured to obtain a dynamic monitoring interval, and obtain monitoring information of the abnormal treatment temperature region in the dynamic monitoring interval, the monitoring information including temperature change information, red light power information, and treatment time information, and obtain corresponding adjustment strategies according to the monitoring information;

[0059] an adjustment feedback module configured to, after adjustment based on the adjustment strategies, obtain second temperature distribution data of the abnormal treatment temperature region, and return to the temperature distribution module based on the second temperature distribution data as the first temperature distribution data.

[0060] and a temperature monitoring terminal based on high-energy red light treatment, comprising:

[0061] one or more processors;

[0062] a storage device having one or more programs stored thereon;

[0063] when the one or more programs are executed by the one or more processors, the one or more processors implement the temperature monitoring method based on high-energy red light treatment.

[0064] The technical effects achieved by the present application are:

[0065] The present application can comprehensively understand the temperature condition of the treatment region through two-dimensional processing of the surface and deep layer temperature information, discover abnormal regions in real time and take accurate temperature regulation measures, effectively avoid overheating or overcooling, ensure treatment safety, adjust treatment parameters according to the specific needs of different treatment regions through a dynamic monitoring and feedback mechanism, realize personalized temperature regulation, ensure that each region obtains the most suitable treatment conditions, improve treatment effect, form a closed-loop control system through dynamic regulation and feedback mechanism, real-time temperature feedback adjustment can continuously optimize treatment temperature distribution, ensure the continuity and stability of treatment effect, reduce patient safety risks caused by temperature unevenness or overheating, especially during high-energy red light treatment, ensure the stability and suitability of temperature, thereby greatly reducing adverse treatment effects or patient discomfort caused by temperature abnormalities. BRIEF DESCRIPTION OF DRAWINGS

[0066] Figure 1 is a method flowchart provided by the present application;

[0067] Figure 2 is a system module diagram provided by the present application. DETAILED DESCRIPTION

[0068] In order to make the above objectives, features and advantages of the present application more apparent, the specific embodiments of the present application are described in detail below with reference to the accompanying drawings.

[0069] In the following description, a large number of specific details are set forth in order to facilitate a thorough understanding of the present application, but the present application can also be implemented in other ways different from those described herein, and those skilled in the art can make similar generalizations without departing from the spirit of the present application, so the present application is not limited to the specific embodiments disclosed below.

[0070] Secondly, the "one embodiment" or "embodiment" referred to herein means that the specific features, structures or characteristics can be included in at least one implementation of the present application. "In a preferred embodiment" appearing in different places in the specification does not mean the same embodiment, nor is it an independent or alternative embodiment that excludes other embodiments.

[0071] Thirdly, the present application is described in detail in conjunction with the schematic diagram, and in the detailed description of the embodiments of the present application, the schematic diagram is only an example and should not limit the scope of protection of the present application.

[0072] Please refer to the accompanying Figure 1 As shown in the accompanying drawings, a temperature monitoring method based on high-energy red light treatment is provided, comprising:

[0073] S1, obtaining treatment area information corresponding to a plurality of high-energy red light distribution areas according to high-energy red light treatment area data, and obtaining first temperature distribution data of each treatment area information, the first temperature distribution data being divided into surface temperature information and deep layer temperature information;

[0074] S2, based on two-dimensional processing of the surface temperature information and the deep layer temperature information, screening out an abnormal treatment temperature area from the treatment area information;

[0075] S3, obtaining a dynamic monitoring interval, and obtaining monitoring information of the abnormal treatment temperature area in the dynamic monitoring interval, the monitoring information including temperature change information, red light power information and treatment time information, and obtaining corresponding adjustment strategies according to the monitoring information;

[0076] S4, after adjusting based on the adjustment strategy, second temperature distribution data of the abnormal treatment temperature region is obtained, and the second temperature distribution data is taken as the first temperature distribution data to return to the step of screening the abnormal treatment temperature region.

[0077] As in the above steps S1 to S4, according to the related data of the high-energy red light treatment region (such as the size, shape and distribution characteristics of the treatment region), a plurality of high-energy red light distribution regions are identified, and temperature data of each treatment region is obtained, which includes surface temperature information and deep layer temperature information in two dimensions, which makes the temperature monitoring more comprehensive and detailed, and can reflect the temperature changes of the surface and deep layer tissues during the treatment process. Through the double-dimensional processing of the surface temperature information and the deep layer temperature information, it can be more accurately judged whether the temperature of each treatment region exceeds the preset safe range. If the temperature data of some regions does not meet the preset conditions (such as too high or too low temperature), these regions are marked as "abnormal treatment temperature region". Once the abnormal region is identified, the dynamic monitoring mode is entered, and the temperature change information, red light power information and treatment time information of the abnormal treatment temperature region in the monitoring interval are obtained in real time. According to the obtained monitoring information, the temperature is adjusted according to the preset control strategy, for example, adjusting the red light power, treatment time and other parameters. After adjustment, the second temperature distribution data of the region is collected, and the new temperature data is taken as the first temperature distribution data to return to the previous screening step. Through this feedback mechanism, the temperature during the treatment process can be continuously optimized to ensure that the temperature of each treatment region is always within the safe and effective range. Through the double-dimensional processing of the surface and deep layer temperature information, the temperature condition of the treatment region can be more comprehensively understood, and the abnormal region can be found in real time and accurate temperature control measures can be taken to effectively avoid overheating or overcooling, ensuring treatment safety. Through the dynamic monitoring and feedback mechanism, treatment parameters (such as red light power and treatment time) can be adjusted according to the specific needs of different treatment regions to achieve personalized temperature control and ensure that each region receives the most suitable treatment conditions to improve treatment effectiveness. Through the dynamic control and feedback mechanism, a closed-loop control system is formed, and real-time temperature feedback adjustment can continuously optimize the treatment temperature distribution to ensure the continuity and stability of the treatment effect, which can reduce the patient safety risks caused by uneven temperature or overheating. Especially in the high-energy red light treatment process, the stability and suitability of the temperature are ensured, thereby greatly reducing the adverse treatment effects or patient discomfort caused by temperature abnormalities. Precise control of temperature during treatment can maximize treatment effectiveness, for example, in skin disease treatment, appropriate treatment temperature helps to accelerate cell regeneration and promote blood circulation, and optimizes treatment effectiveness without causing excessive stimulation.

[0078] In a preferred embodiment, the step of screening the abnormal treatment temperature area from the treatment area information based on the surface temperature information and the deep temperature information in two dimensions comprises:

[0079] S201, obtaining a corresponding surface temperature vector according to the surface temperature information;

[0080] S202, obtaining a corresponding deep temperature vector according to the deep temperature information;

[0081] S203, processing in two dimensions according to the surface temperature vector and the deep temperature vector, and obtaining a first temperature distribution value;

[0082] S204, obtaining a first temperature distribution threshold value;

[0083] S205, judging whether the first temperature distribution value exceeds the first temperature distribution threshold value;

[0084] If the first temperature distribution value exceeds the first temperature distribution threshold value, it is determined that the temperature of the treatment area is abnormal, and the abnormal treatment temperature area is marked.

[0085] 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. The surface temperature information and the deep temperature information are obtained by a non-contact temperature measuring device or an imaging technology (such as infrared thermal imaging). The deep temperature information can be obtained by a microwave radiation temperature measuring method or other methods capable of measuring deep temperature. The calculation formula of the microwave radiation temperature measuring method is , wherein T represents the deep temperature, P represents the received power, k represents the system calibration constant, σ represents the temperature-dependent conductivity, The propagation loss is represented as, which is a mature existing technology and will not be described in detail here. The surface temperature information and the deep layer temperature information are converted into vector forms (surface temperature vector and deep layer temperature vector) respectively. The surface temperature vector and the deep layer temperature vector are combined to calculate a first temperature distribution value of each treatment area. The calculation formula of the first temperature distribution value is F = a * B + b * S, where F represents the first temperature distribution value, B represents the surface temperature vector, S represents the deep layer temperature vector, a represents the surface temperature weight, and b represents the deep layer temperature weight. The first temperature distribution threshold is a preset safe temperature range. The first temperature distribution value is compared with the threshold. If the first temperature distribution value exceeds the threshold, it is marked as an abnormal treatment temperature area. This can more comprehensively reflect the temperature distribution of the treatment area, avoid misjudgment caused by single temperature information, more accurately judge whether the temperature is abnormal, improve the accuracy and reliability of identification, and flexibly adjust according to different treatment targets (such as deep tissue heating or surface cooling) to adapt to various high-energy red light treatment scenarios.

[0086] In a preferred embodiment, the step of acquiring the dynamic monitoring interval comprises:

[0087] S3011, acquiring the time node marked as the abnormal treatment temperature area, and marking it as an intermediate time;

[0088] S3012, acquiring the corresponding first temperature distribution value according to the first temperature distribution data;

[0089] S3013, acquiring a time table, wherein the time table comprises a plurality of first temperature distribution intervals and a monitoring duration corresponding to each first temperature distribution interval;

[0090] S3014, acquiring a target first temperature distribution interval according to the first temperature distribution value;

[0091] S3015, acquiring the corresponding monitoring duration from the time table according to the target first temperature distribution interval;

[0092] S3016, acquiring a start time and an end time according to the monitoring duration and the intermediate time;

[0093] S3017, acquiring the dynamic monitoring interval according to the start time and the end time.

[0094] As in the steps S3011 to S3017 described above, according to the marked time node of the abnormal treatment temperature region, the occurrence time point of the current region temperature abnormality is determined as an intermediate time, the first temperature distribution value of the abnormal region is extracted from the first temperature distribution data, the time table is a mapping relationship table containing a plurality of first temperature distribution intervals and corresponding monitoring time lengths, the first temperature distribution value is matched with the temperature distribution interval in the time table, the target interval is found, according to the target temperature distribution interval, the corresponding monitoring time length is extracted from the time table, the starting time is half of the monitoring time length forward from the intermediate time as the reference, the starting point of the dynamic monitoring interval is determined, the ending time is half of the monitoring time length backward from the intermediate time as the reference, the ending point of the dynamic monitoring interval is determined, and the starting time and the ending time are combined to form a complete dynamic monitoring interval. The length of the dynamic monitoring interval can be flexibly adjusted according to the actual situation, avoiding too long or too short monitoring time leading to data omission or resource waste, the monitoring time length is set according to the temperature distribution interval, ensuring that the monitoring resources are mainly used for more serious abnormal conditions, and the processing efficiency and response capability are improved.

[0095] In a preferred embodiment, the step of acquiring monitoring information of the abnormal treatment temperature region in the dynamic monitoring interval includes acquiring treatment temperature data, treatment time data of the abnormal treatment temperature region in the dynamic monitoring interval, and red light power data of the high-energy red light region corresponding to the abnormal treatment temperature region, acquiring temperature change information according to the treatment temperature data, acquiring corresponding red light power information according to the red light power data, and acquiring corresponding treatment time information according to the treatment time data.

[0096] As described above, in the dynamic monitoring interval, first, the treatment temperature data of the abnormal treatment temperature region is acquired, which includes information of two dimensions of surface temperature and deep temperature, and can reflect temperature fluctuations in the treatment process. Through real-time monitoring of these data, it can be accurately understood whether the temperature of the treatment region is abnormal, such as too high or too low. The treatment time data includes the length of the treatment duration, the red light power data is acquired, which reflects the red light energy intensity applied to the treatment region during the treatment process, the temperature change information is acquired according to the treatment temperature data, the corresponding red light power information is acquired according to the red light power data, and the corresponding treatment time information is acquired according to the treatment time data. The temperature fluctuations, red light power and treatment time of the abnormal treatment temperature region can be comprehensively acquired, and the multi-dimensional data monitoring makes the temperature regulation more accurate, and different factors affecting the temperature can be identified.

[0097] In a preferred embodiment, the step of acquiring temperature change information according to treatment temperature data includes:

[0098] S3021, obtaining a plurality of abnormal region surface temperature vectors and an abnormal region deep layer temperature vector corresponding to each abnormal region surface temperature vector according to the treatment temperature data;

[0099] S3022, obtaining a temperature change value according to the plurality of abnormal region surface temperature vectors and the abnormal region deep layer temperature vector corresponding to each abnormal region surface temperature vector, and marking it as temperature change information.

[0100] As described in steps S3021 to S3022 above, in the dynamic monitoring interval, the temperature data of the abnormal treatment temperature region is obtained in real time by the sensor or imaging device, including the surface temperature and the deep layer temperature, the surface temperature vector is generated based on the surface temperature data of the abnormal region, the deep layer temperature vector is generated based on the corresponding deep layer temperature data, reflecting the change rule of the internal tissue temperature, for a plurality of abnormal regions, the surface and deep layer temperature vectors are generated respectively, the temperature change value is calculated by combining the surface temperature vectors of a plurality of abnormal regions and the corresponding deep layer temperature vectors, and the calculation formula of the temperature change value is , wherein W represents the temperature change value, i represents the number of the abnormal region surface temperature vector and the number of each abnormal region deep layer temperature vector, i = 1, 2, 3…n, represents the i-th abnormal region surface temperature vector, represents the i-th abnormal region surface temperature vector, which can fully capture the temperature characteristics of the treatment region and avoid misjudgment caused by a single data source.

[0101] In a preferred embodiment, the step of obtaining corresponding red light power information according to the red light power data comprises:

[0102] S3031, obtaining a plurality of red light power values according to the red light power data;

[0103] S3032, obtaining a corresponding red light power fluctuation value according to the plurality of red light power values, and marking it as red light power information.

[0104] As described in steps S3031 to S3032 above, the red light power data is collected from the high-energy red light region corresponding to the abnormal treatment temperature region in the dynamic monitoring interval, the collected red light power data is segmented or discretized, and a plurality of red light power values are extracted, the red light fluctuation value is calculated according to the plurality of extracted red light power values, and the calculation formula of the red light fluctuation value is , wherein G represents the red light power fluctuation value, r represents the number of the plurality of red light power values, r = 1, 2, 3…t, The red light power fluctuation value calculated as the red light power information can accurately evaluate the stability of the red light output, thereby providing data support for the cause analysis of the temperature anomaly, and the red light power fluctuation value directly reflects the dynamic change of the red light energy input, thereby providing a reliable basis for formulating an efficient regulation strategy.

[0105] In a preferred embodiment, the step of obtaining corresponding treatment time information according to the treatment time data comprises:

[0106] S3041, obtaining treatment time data of the abnormal treatment temperature region in the dynamic monitoring interval;

[0107] S3042, obtaining corresponding treatment duration according to the treatment time data;

[0108] S3043, obtaining a treatment duration compensation table, wherein the treatment duration compensation table comprises a plurality of treatment duration intervals and corresponding treatment time compensation values of each treatment duration interval;

[0109] S3044, obtaining a target treatment duration interval according to the treatment duration;

[0110] S3045, obtaining corresponding treatment time compensation value from the treatment duration compensation table according to the target treatment duration interval, and marking it as treatment time information.

[0111] As described in the above steps S301 to S3045, the treatment time data is extracted from the abnormal treatment temperature region in the dynamic monitoring interval, the actual treatment duration of the high-energy red light in the abnormal region is recorded, the actual treatment duration is calculated according to 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 duration compensation table is a preset correlation table listing a plurality of treatment duration intervals and corresponding treatment time compensation values, which is used to guide how to adjust the red light power or the treatment strategy according to the treatment duration, according to the actual treatment duration, the treatment duration interval in the compensation table is matched to find the corresponding target treatment duration interval, according to the target treatment duration interval, the corresponding treatment time compensation value is extracted from the compensation table and marked as treatment time information, which can quantify the influence of treatment time on the temperature of the abnormal region, thereby providing more accurate temperature regulation basis, and the treatment duration compensation table provides a standardized compensation mechanism, so that the system can quickly select the appropriate compensation value, thereby improving the regulation efficiency and accuracy.

[0112] In a preferred embodiment, the step of obtaining corresponding adjustment strategy according to the monitoring information comprises:

[0113] S3051, obtaining corresponding temperature change value according to temperature change information;

[0114] S3052, obtaining a red light power fluctuation value corresponding to the red light power information;

[0115] S3053, obtaining a treatment time compensation value corresponding to the treatment time information;

[0116] S3054, obtaining a temperature regulation value of the high-energy red light distribution area according to the temperature change value, the red light power fluctuation value, and the treatment time compensation value;

[0117] S3055, obtaining a temperature regulation table, wherein the temperature regulation table includes a plurality of temperature regulation interval values and a corresponding regulation strategy for each temperature regulation interval value;

[0118] S3056, obtaining a target temperature regulation interval value corresponding to the temperature regulation value;

[0119] S3057, obtaining a corresponding regulation strategy from the temperature regulation table according to the target temperature regulation interval value;

[0120] S3058, adjusting the high-energy red light treatment temperature according to the regulation strategy.

[0121] As described above in 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, the treatment time compensation value obtained from the treatment time information, the temperature regulation value calculated according to the temperature change value, the red light power fluctuation value, and the treatment time compensation value, the calculation formula of the temperature regulation value is K = W * G * T, wherein K represents the temperature regulation 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 regulation table contains a plurality of temperature regulation interval values and their corresponding regulation strategies. According to the temperature regulation value, the target temperature regulation interval value in the regulation table is matched, and the regulation strategy corresponding to the target temperature regulation interval value is extracted from the temperature regulation table. The strategy content may include operation instructions such as adjusting the red light power, changing the treatment time, or distributing the area. According to the obtained regulation strategy, the red light power, treatment time, or treatment area distribution is adjusted in real time to ensure that the abnormal area temperature returns to the normal range. By comprehensively considering temperature change, red light power, and treatment time, a targeted regulation strategy is developed, which significantly improves the accuracy of temperature control, dynamically adapts to the comprehensive influence of temperature, power fluctuation, and treatment time, ensures that the temperature of the treatment area is maintained within the optimal range, and enhances the treatment effect.

[0122] In a preferred embodiment, after adjusting based on the adjustment strategy, second temperature distribution data of the abnormal treatment temperature area is obtained, and the second temperature distribution data is taken as the first temperature distribution data to return to the step of screening out the abnormal treatment temperature area, including:

[0123] S401, acquire the time node of adjusting the high-energy red light treatment temperature according to the regulation strategy, and mark as the start time of the feedback period;

[0124] S402, acquire the corresponding feedback duration according to the regulation strategy;

[0125] S403, acquire the end time of the feedback period according to the feedback duration and the start time of the feedback period;

[0126] S404, acquire the feedback period according to the start time and the end time of the feedback period,

[0127] S405, acquire the second temperature distribution data of the abnormal treatment temperature region in the feedback period;

[0128] S406, return the second temperature distribution data to the step of screening the abnormal treatment temperature region as the first temperature distribution data.

[0129] In the above steps S401 to S406, the time node according to the regulation strategy is marked as the start time of the feedback period, the corresponding feedback duration is extracted from the regulation strategy, the feedback duration is a preset time window for observing the regional temperature change after temperature regulation, the end time of the feedback period is calculated according to the feedback duration and the start time, the start time and the end time of the feedback period are combined to generate a complete feedback period, the second temperature distribution data of the abnormal treatment temperature region is acquired in the feedback period, the surface temperature and the deep temperature change in the region are recorded, the acquired second temperature distribution data is returned to the step of screening the abnormal treatment temperature region as the first temperature distribution data, the regulation effect is re-evaluated through the closed-loop feedback mechanism, the treatment region temperature reaches the expected target, the temperature change data in the feedback period is acquired in real time, the regulation strategy is re-evaluated and adjusted according to the new temperature distribution data, which can dynamically adapt to the actual situation, and the setting of the feedback period provides a time window for verifying the regulation effect, and ensures the effectiveness of the regulation strategy.

[0130] Please refer to the accompanying Figure 2 The application also provides a temperature monitoring system based on high-energy red light treatment, which is used for the above-mentioned temperature monitoring method based on high-energy red light treatment, and comprises:

[0131] A temperature distribution module is configured to acquire treatment region information corresponding to a plurality of high-energy red light distribution regions according to high-energy red light treatment region data, and acquire first temperature distribution data of each treatment region information, wherein the first temperature distribution data is divided into surface temperature information and deep temperature information.

[0132] An abnormal temperature module is configured to screen abnormal treatment temperature regions from the treatment region information based on two-dimensional processing of the surface temperature information and the deep temperature information.

[0133] an adjustment strategy module configured to obtain a dynamic monitoring interval, and obtain monitoring information of the abnormal treatment temperature region within the dynamic monitoring interval, the monitoring information including temperature change information, red light power information, and treatment time information, and obtain corresponding adjustment strategies according to the monitoring information;

[0134] an adjustment feedback module configured to, after adjustment based on the adjustment strategies, obtain second temperature distribution data of the abnormal treatment temperature region, and return to the temperature distribution module based on the second temperature distribution data as the first temperature distribution data.

[0135] The temperature distribution module obtains treatment region information corresponding to a plurality of high-energy red light distribution regions according to the high-energy red light treatment region data, and obtains first temperature distribution data for each treatment region. The first temperature distribution data includes surface temperature information and deep layer temperature information, which can comprehensively reflect the temperature state of the treatment region. The surface temperature information mainly reflects the skin surface temperature, while the deep layer temperature information reflects the temperature of the deep layer tissue. Through these data, the temperature distribution of the treatment region 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 layer temperature information. The system screens the abnormal treatment temperature region from the treatment region information. By comparing with the preset safe temperature range, the system can identify the region with temperature exceeding the standard. These regions are marked as abnormal treatment temperature regions, which can quickly identify and locate the treatment region with temperature anomaly, prevent the treatment effect from being affected or the patient from being uncomfortable due to temperature problems. The adjustment strategy module obtains monitoring information of the abnormal treatment temperature region within the dynamic monitoring interval. The monitoring information includes temperature change information, red light power information, and treatment time information. Through obtaining these information, the system can accurately analyze the reason of temperature anomaly in the treatment process and develop corresponding adjustment strategies. The adjustment strategies may include adjusting the red light power, changing the treatment time, or adjusting other parameters of the treatment region, so that the treatment temperature returns to the safe range. Based on the adjustment strategies, the adjustment feedback module performs necessary adjustment. After adjustment, the second temperature distribution data of the abnormal treatment temperature region is obtained. The second temperature distribution data is obtained according to the adjusted treatment temperature state and returned to the temperature distribution module as new first temperature distribution data. Through this feedback mechanism, the system can be adjusted and optimized multiple times to ensure that the temperature is always within the ideal range during the treatment process. The system can monitor and respond to temperature anomalies in real time, reduce adverse treatment effects caused by temperature anomalies, and ensure that the treatment temperature is always maintained within the best treatment range through the regulation of red light power and the reasonable adjustment of treatment time, so as to achieve the ideal treatment effect.

[0136] and a temperature monitoring terminal based on high-energy red light treatment, comprising:

[0137] one or more processors;

[0138] a storage device having stored thereon one or more programs;

[0139] The one or more programs, when executed by one or more processors, cause the one or more processors to implement a temperature monitoring method based on high-energy red light therapy.

[0140] The above merely describes the preferred embodiments of the present application, and it should be noted that for those skilled in the art, without departing from the principles of the present application, a number of improvements and refinements can be made, and these improvements and refinements should also be considered as the protection scope of the present application. The structures, devices and operation methods not specifically described and explained in the present application are 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, This includes obtaining treatment area information corresponding to multiple high-energy red light distribution areas based on high-energy red light treatment area data, and obtaining the first temperature distribution data for each treatment area. The first temperature distribution data is divided into surface temperature information and deep temperature information. Based on the dual-dimensional processing of surface temperature information and deep temperature information, abnormal treatment temperature areas are filtered out from the treatment area information. The system acquires a dynamic monitoring interval and within that interval, obtains monitoring information on abnormal treatment temperature areas, including temperature changes, red light power, and treatment time. Based on this information, it develops corresponding adjustment strategies, including identifying time nodes marked as abnormal treatment temperature areas and designating them as intermediate times; acquiring corresponding first temperature distribution values ​​based on first temperature distribution data; acquiring a timetable, which includes multiple first temperature distribution intervals and the corresponding monitoring duration for each interval; identifying a target first temperature distribution interval based on the first temperature distribution values; obtaining the corresponding monitoring duration from the timetable based on the target first temperature distribution interval; acquiring the start and end times based on the monitoring duration and intermediate times; and finally, acquiring the dynamic monitoring interval based on the start and end times. Within the dynamic monitoring range, treatment temperature data for areas with abnormal treatment temperatures is first acquired. This temperature data includes information on both surface and deep temperatures, reflecting temperature fluctuations during treatment. Real-time monitoring of the temperature data allows for precise identification of any abnormalities in the treatment area's temperature. Treatment time data includes the duration of treatment. Red light power data reflects the intensity of red light energy applied to the treatment area during treatment. Temperature change information is obtained based on the treatment temperature data, corresponding red light power information is obtained based on the red light power data, and corresponding treatment time information is obtained based on the treatment time data. This comprehensive approach allows for the acquisition of temperature fluctuations in areas with abnormal treatment temperatures, the relationship between red light power and treatment time. This multi-dimensional data monitoring enables more precise temperature control and allows for the identification of the impact of different factors on temperature. After adjusting based on the adjustment strategy, the second temperature distribution data of the abnormal treatment temperature area is obtained, and the second temperature distribution data is used as the first temperature distribution data to return to the step of screening out the abnormal treatment temperature area. This includes obtaining the time node for adjusting the high-energy red light therapy temperature according to the adjustment strategy and marking it as the start time of the feedback period; obtaining the corresponding feedback duration according to the adjustment strategy; obtaining the end time of the feedback period according to the feedback duration and the start time of the feedback period; obtaining the feedback period according to the start time and end time of the feedback period, obtaining the second temperature distribution data of the abnormal treatment temperature area within the feedback period; and returning the second temperature distribution data as the first temperature distribution data 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, The steps for filtering out abnormal treatment temperature areas from treatment area information based on dual-dimensional processing of surface temperature and deep temperature information include: Obtain the corresponding surface temperature vector based on the surface temperature information; Obtain the corresponding deep temperature vector based on the deep temperature information; The first temperature distribution value is obtained by processing the surface temperature vector and the deep temperature vector in two dimensions. Obtain the first temperature distribution threshold; Determine whether the first temperature distribution value exceeds the 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 marked as an abnormal treatment temperature area.

3. The temperature monitoring method based on high-energy red light therapy according to claim 2, characterized in that, The steps for acquiring monitoring information of abnormal treatment temperature areas within a dynamic monitoring range include acquiring treatment temperature data, treatment time data, and red light power data of the high-energy red light area corresponding to the abnormal treatment temperature area within the dynamic monitoring range; acquiring temperature change information based on the treatment temperature data; acquiring corresponding red light power information based on the red light power data; and acquiring corresponding treatment time information based on the treatment time data.

4. The temperature monitoring method based on high-energy red light therapy according to claim 3, characterized in that, The steps for obtaining temperature change information based on treatment temperature data include: Based on the treatment temperature data, obtain the surface temperature vectors of multiple abnormal areas and the deep temperature vector of the abnormal area corresponding to each surface temperature vector. Temperature change values ​​are obtained based on the surface temperature vectors of multiple abnormal regions and the deep temperature vector of the abnormal region corresponding to each surface temperature vector, and are marked as temperature change information.

5. The temperature monitoring method based on high-energy red light therapy according to claim 4, characterized in that, The steps for obtaining the corresponding red light power information based on the red light power data include: Obtain multiple corresponding red light power values ​​based on the red light power data; The corresponding red light power fluctuation value is obtained from multiple red light power values ​​and marked as red light power information.

6. The temperature monitoring method based on high-energy red light therapy according to claim 5, characterized in that, The steps to obtain the corresponding treatment time information based on treatment time data include: Obtain the corresponding treatment duration based on the treatment time data; Obtain the treatment duration compensation table, which includes multiple treatment duration intervals and the corresponding treatment time compensation value for each treatment duration interval; Obtain the target treatment duration range based on the treatment duration; Based on the target treatment duration range, the corresponding treatment time compensation value is obtained from the treatment duration compensation table and marked as treatment time information.

7. The temperature monitoring method based on high-energy red light therapy according to claim 6, characterized in that, The steps for obtaining the corresponding adjustment strategy based on monitoring information include: Obtain the corresponding temperature change value based on the temperature change information; Obtain the corresponding red light power fluctuation value based on the red light power information; Obtain the corresponding treatment time compensation value based on the treatment time information; The temperature control value of the corresponding high-energy red light distribution area is obtained based on the temperature change value, the red light power fluctuation value, and the treatment time compensation value. Obtain the temperature control table, which includes multiple temperature control interval values ​​and the control strategy corresponding to each temperature control interval value; Obtain the corresponding target temperature control range value based on the temperature control value; The corresponding control strategy is obtained from the temperature control table based on the target temperature control range value; The temperature of high-energy red light therapy is adjusted according to the control strategy.

8. A temperature monitoring system based on high-energy red light therapy, applied to the temperature monitoring method based on high-energy red light therapy as described in any one of claims 1 to 7, characterized in that, include: The temperature distribution module is used to obtain treatment area information corresponding to multiple high-energy red light distribution areas based on high-energy red light treatment area data, and to obtain the first temperature distribution data for each treatment area, which is divided into surface temperature information and deep temperature information. The abnormal temperature module is used to filter out areas with abnormal treatment temperatures from the treatment area information by processing both surface temperature information and deep temperature information in a two-dimensional manner. The adjustment strategy module is used to acquire the dynamic monitoring range and acquire monitoring information of abnormal treatment temperature areas within the dynamic monitoring range. This monitoring information includes temperature change information, red light power information, and treatment time information. Based on the monitoring information, the module acquires the corresponding adjustment strategy. The adjustment feedback module is used to obtain the 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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