Red light therapeutic instrument capable of online calibration

Abstract

The invention discloses a red light therapeutic apparatus capable of on-line calibration, which relates to the field of red light physiotherapy, and comprises a red light therapeutic unit which serves as a core control end of each functional part and functional module and provides a red light projection therapeutic function with adjustable angle and intensity; the recognition unit is used for collecting and recognizing an appearance image before irradiation and an action image during irradiation of the to-be-irradiated area of the user; the calibration distribution module is used for providing an angle adjustment instruction in irradiation for the angle adjustment component and providing a corresponding area light source intensity adjustment instruction for the light source adjustment component based on comprehensive analysis of the acquired and acquired identification data acquired by the identification unit; according to the device, the to-be-treated area of the body of the user is autonomously recognized and planned, irradiation with the accurate range and intensity is carried out according to the actual treatment requirement of the patient, the irradiation angle and intensity are adjusted in real time according to the change of the action of the user, and actual irradiation data are verified and corrected.

Description

Technical Field

[0001] The invention relates to the technical field of red light therapy, and in particular to a red light therapy device capable of online calibration. Background Art

[0002] As an emerging medical method, red light therapy uses light of a specific wavelength through photobiomodulation. It usually uses red light or near-infrared light with a wavelength between 600 and 700 nanometers. Light of this wavelength can effectively penetrate the skin and reach deep tissues to promote cell energy production, reduce inflammation, and accelerate healing. At the same time, it promotes the improvement of the endocrine system and immune metabolism mechanisms, thereby alleviating clinical symptoms and accelerating the process of joint rehabilitation, thereby achieving therapeutic effects. Therefore, at this stage, red light therapy is widely used in surgical treatment, skin disease treatment, internal medicine disease treatment, gynecological health care, etc., and has achieved remarkable therapeutic effects;

[0003] However, in the current use of red light therapy devices, there are still deficiencies in intelligent calibration. During the irradiation treatment process, the same intensity and range of light sources are usually used for uniform irradiation. It is difficult to autonomously identify the irradiation range and intensity according to the area that the patient actually needs to treat, which makes it difficult to streamline the setting work of the same type, and it is difficult to complete the complex setting work quickly. It is also easy to over-irradiate healthy areas or areas with mild symptoms.

[0004] In addition, during the irradiation process, if the user moves his or her limbs, it will affect the irradiation effect and create an irradiation blind spot. It is difficult to make dynamic adjustments in real time according to the user's limb movements, which is not conducive to calibration and has limitations. Summary of the invention

[0005] 1. Technical issues to be solved

[0006] In view of the above-mentioned shortcomings of the prior art, the present invention provides a red light therapy device capable of online calibration, which can effectively solve the problems of the prior art.

[0007] (II) Technical solution

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0009] The present invention discloses a red light therapeutic device capable of online calibration, comprising:

[0010] The red light therapy unit, as the core control end of each functional component and functional module, provides a red light projection therapy function with adjustable angle and intensity; the red light therapy unit includes a red light emitting lamp body, an angle adjustment component and a light source adjustment component, wherein: the red light emitting lamp body is used to provide irradiation of red light with a preset intensity after being triggered; the angle adjustment component is used to adjust the irradiation angle of the red light emitting lamp body according to the position adjustment instruction; the light source adjustment component is used to adjust the light source intensity of the red light emitting lamp body in different irradiation areas according to the intensity adjustment instruction; the recognition unit is used to collect and recognize the appearance image before irradiation and the action image during irradiation of the user's irradiation area; the calibration distribution A module is used for comprehensive analysis based on the collected identification data obtained by the identification unit, and provides the angle adjustment instructions during illumination to the angle adjustment component and the corresponding area light source intensity adjustment instructions to the light source adjustment component; a measurement module is used to measure the real-time angle illumination parameters of the red light emitting lamp body and the light source intensity parameters of different areas; a verification unit is used to verify the abnormal data in the measurement data of the measurement module, correct and analyze the abnormal data, output the corrected data, and use the historical data as a reference to comprehensively output the corrected instructions to the calibration allocation module; a storage module is used to store all collected data, analysis data and adjustment data, and classify the historical collected data and analysis data.

[0011] Furthermore, the recognition unit includes an image acquisition module, a trauma recognition module and a motion recognition module, wherein: the image acquisition module is used to acquire images and perform preprocessing; the trauma recognition module is used to construct a treatment recognition model, preset a recognition template, define key features in the image acquired by the image acquisition module that meet the requirements of the recognition template acquisition, and plan the area to be treated based on the defined key features; the motion recognition module is used to obtain the user's motion adjustment data of the treatment area during treatment.

[0012] Furthermore, the image acquisition module performs a first type of recognition before the red light emitting lamp body works, and the wound recognition module identifies and obtains the area to be treated. The wound recognition module performs a second type of recognition during the operation of the red light emitting lamp body, so that the motion recognition module identifies and obtains the motion adjustment of the treatment area.

[0013] Furthermore, the treatment recognition model in the trauma recognition module is constructed through a deep learning algorithm, which obtains historical key feature data of the area to be treated and manually customized key feature data as training samples, which are divided into 70% test samples and 30% verification samples.

[0014] Furthermore, the motion recognition module monitors user motions in a real-time image sequence through an object tracking algorithm, and based on the original template data of the planned treatment area provided by the trauma recognition module, analyzes the updated parameters of the treatment area position, makes dynamic adjustments in real time, and feeds back instructions to the calibration allocation module.

[0015] Furthermore, the update parameter of the treatment area position is used to indicate the moving coordinates of the center of the treatment area, expressed as (x, y), and the calculation formula is:

[0016]

[0017] Where G represents the updated parameter coordinates of the treatment area, P t represents the center coordinate of the user's target treatment area at the current time t, P e represents the center position coordinates of the original template area, a represents the weight coefficient of user action monitoring, b represents the influence coefficient of the surrounding environment change, N represents the number of motion data points observed during the monitoring process, and P o represents each observed data point.

[0018] Furthermore, the calibration allocation module is electrically connected to an active planning module via a medium, and the active planning module is used to actively intervene in setting properties of the calibration allocation module, and manually customize and change the calibration allocation module's automatically edited angle adjustment instructions and corresponding area light source intensity adjustment instructions.

[0019] Furthermore, the measuring module monitors the actual displacement data of the angle adjustment component through a motion sensor, and correspondingly monitors the red light irradiation intensity data of each treatment area through a spectral monitoring method.

[0020] Furthermore, the verification unit includes an abnormality analysis module, a matching identification module and an extraction module, the abnormality analysis module is interactively connected to the measurement module and the matching identification module through a wireless network, and the matching identification module and the extraction module are interactively connected through a wireless network, wherein: the abnormality analysis module is used to analyze the deviation value between the measurement data and the setting parameters of the angle adjustment component and the light source adjustment component based on the measurement data of the measurement module, and calculate the correction setting data; the matching identification module is used to retrieve similar historical measurement and deviation data from the storage module based on the measurement data and its deviation value, and obtain historical correction data; the extraction module is used to perform a comprehensive analysis based on the correction device data, combined with similar historical measurements, deviations and correction data, with reference to the adjustment data, and output the reference correction device data to the calibration allocation module.

[0021] Furthermore, the red light emitting lamp body is interactively connected with the angle adjustment component, the light source adjustment component and the measuring module through a wireless network, the calibration allocation module is interactively connected with the angle adjustment component, the light source adjustment component, the storage module, the trauma recognition module and the motion recognition module through a wireless network, and the verification unit is interactively connected with the storage module through a wireless network.

[0022] (III) Beneficial effects

[0023] Compared with the prior art, the technical solution provided by the present invention has the following beneficial effects:

[0024] 1. By autonomously identifying and planning the area to be treated on the user's body, dynamic monitoring and adjustment of key features are achieved, thereby solving the shortcomings of traditional red light therapy devices in irradiation range and intensity adjustment, making the treatment process more personalized, and being able to irradiate with precise range and intensity according to the patient's actual treatment needs. By using a treatment recognition model constructed using a deep learning algorithm, the treatment area can be accurately defined and dynamically adjusted based on real-time image information and preset recognition templates, and online calibration can be provided, thereby overcoming the shortcomings of existing red light therapy devices in intelligent recognition and calibration.

[0025] 2. The device can achieve personalized treatment by monitoring the movement and adjusting the data during the treatment process. Through the updated parameter formula of the treatment area position and the object tracking algorithm for real-time dynamic adjustment, the device can adjust the irradiation angle and intensity in real time according to the changes in the user's movements, avoiding the problem of uniform irradiation of light sources with the same intensity and range. It allows the user to move his limbs to a certain extent during the treatment process, avoids imbalance in irradiation intensity and the generation of blind spots in irradiation, provides fault tolerance, and ensures the continuity and consistency of treatment.

[0026] 3. By verifying and correcting the actual irradiation data and correcting abnormal settings, historical processing data samples are introduced for analysis. As the number and accuracy of historical processing data samples increase, the processing speed can be improved, the accuracy of treatment settings can be ensured, the operating steps can be simplified, and work efficiency can be improved, thus avoiding the problem of difficulty in streamlining similar settings. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0028] Figure 1 It is a schematic diagram of the framework of the present invention.

[0029] The numbers in the figure represent:

[0030] 1. Red light treatment unit; 101. Red light emitting lamp body; 102. Angle adjustment component; 103. Light source adjustment component;

[0031] 2. Identification unit; 201. Image acquisition module; 202. Wound identification module; 203. Action recognition module;

[0032] 3. Calibration allocation module; 31. Active planning module;

[0033] 4. Measurement module;

[0034] 5. Verification unit; 501. Abnormal analysis module; 502. Matching and identification module; 503. Extraction module;

[0035] 6. Storage module. DETAILED DESCRIPTION

[0036] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0037] The present invention will be further described below in conjunction with the embodiments.

[0038] Example 1

[0039] A red light therapy device capable of online calibration in this embodiment, such as Figure 1 As shown, including:

[0040] The red light therapy unit 1, as the core control end of each functional component and functional module, provides a red light projection therapy function with adjustable angle and intensity;

[0041] The red light treatment unit 1 comprises a red light emitting lamp body 101, an angle adjustment component 102 and a light source adjustment component 103, wherein:

[0042] The red light emitting lamp body 101 is used to provide irradiation of red light of preset intensity after being triggered;

[0043] An angle adjustment component 102, used to adjust the irradiation angle of the red light emitting lamp body 101 according to the position adjustment instruction;

[0044] The light source adjustment component 103 is used to adjust the light source intensity of the red light emitting lamp body 101 in different irradiation areas according to the intensity adjustment instruction;

[0045] The recognition unit 2 is used to collect and recognize the appearance image before irradiation and the action image during irradiation of the user's area to be irradiated; the recognition unit 2 specifically includes an image acquisition module 201, a wound recognition module 202 and an action recognition module 203, wherein:

[0046] Image acquisition module 201, used to acquire images and perform preprocessing;

[0047] The trauma recognition module 202 is used to build a treatment recognition model, preset a recognition template, define key features in the image acquired by the image acquisition module 201 that meet the requirements of the recognition template acquisition, and plan the area to be treated based on the defined key features; the treatment recognition model in the trauma recognition module 202 is built through a deep learning algorithm, and the historical key feature data of the area to be treated and the manually defined key feature data are obtained as training samples, which are divided into 70% test samples and 30% verification samples;

[0048] The motion recognition module 203 is used to obtain the user's motion adjustment data of the treatment area during treatment; the image acquisition module 201 performs a first-class recognition before the red light emitting lamp body 101 works, and the wound recognition module 202 identifies and obtains the area to be treated. The wound recognition module 202 performs a second-class recognition when the red light emitting lamp body 101 works, so that the motion recognition module 203 identifies and obtains the motion adjustment of the treatment area; the area to be treated can be accurately identified, the risk of mis-irradiation can be reduced, and the user's motion adjustment data can be obtained in real time during treatment, so as to optimize the treatment plan immediately;

[0049] The calibration allocation module 3 is used for providing the angle adjustment instruction during irradiation to the angle adjustment component 102 and the corresponding area light source intensity adjustment instruction to the light source adjustment component 103 based on the comprehensive analysis of the collected identification data obtained by the identification unit 2; the calibration allocation module 3 is electrically connected to the active planning module 31 through a medium, and the active planning module 31 is used to actively intervene in the calibration allocation module 3 to set properties, and manually customize the calibration allocation module 3 to automatically edit the angle adjustment instruction and the corresponding area light source intensity adjustment instruction; based on the comprehensive analysis of the collected identification data, the angle and intensity adjustment instructions are automatically generated to improve the comfort and effect of treatment, and allow users to customize the adjustment instructions to make the treatment more personalized;

[0050] The measuring module 4 is used to measure the real-time angle irradiation parameters of the red light emitting lamp body 101 and the light source intensity parameters in different areas; the measuring module 4 monitors the actual displacement data of the angle adjustment component 102 through a motion sensor, and correspondingly monitors the red light irradiation intensity data of each treatment area through a spectral monitoring method; it provides detailed angle and intensity monitoring data to improve the stability and controllability of the equipment operation;

[0051] Storage module 6 is used to store all collected data, analysis data and adjustment data, and to classify historical collected data and analysis data. Effective classification of all collected and analyzed data is helpful for subsequent analysis and optimization. The accumulated data can become an important basis for subsequent research and technical improvement.

[0052] The red light emitting lamp body 101 is interactively connected with the angle adjustment component 102, the light source adjustment component 103 and the measuring module 4 through a wireless network, the calibration allocation module 3 is interactively connected with the angle adjustment component 102, the light source adjustment component 103, the storage module 6, the trauma recognition module 202 and the action recognition module 203 through a wireless network, and the verification unit 5 is interactively connected with the storage module 6 through a wireless network.

[0053] Compared with existing technologies, the integration of multiple intelligent functions makes the treatment process more efficient and accurate. Dynamic data collection and processing significantly improves the real-time and intelligent level of treatment. It is more efficient than traditional static treatment methods. Combined with artificial intelligence and deep learning algorithms, it can make personalized adjustments based on the patient's characteristics to improve the treatment effect. Comprehensive historical data storage and analysis provide a basis for future treatment plan optimization and facilitate rapid iteration and improvement.

[0054] Example 2

[0055] In other aspects, this embodiment also provides a method for tracking the treatment area. The action recognition module 203 monitors the user's actions in the real-time image sequence through an object tracking algorithm, and based on the original template data of the planned treatment area provided by the wound recognition module 202, analyzes the update parameters of the treatment area position, makes dynamic adjustments in real time, and feeds back instructions to the calibration allocation module 3;

[0056] The update parameter of the treatment area position is used to indicate the moving coordinates of the center of the treatment area, expressed as (x, y), and its calculation formula is:

[0057]

[0058] Where G represents the updated parameter coordinates of the treatment area, P t represents the center coordinate of the user's target treatment area at the current time t, P e represents the center position coordinates of the original template area, a represents the weight coefficient of user action monitoring, which is used to adjust the sensitivity of action recognition, b represents the influence coefficient of the surrounding environment change, which is used to consider unexpected factors, N represents the number of motion data points observed during the monitoring process, and P o represents each observed data point, a·(P t -P e ) represents the direct impact of the user's current action on the update of the treatment area. By calculating the difference between the current position and the original template position and multiplying it by the weight coefficient a, the sensitivity of user action recognition can be adjusted. The higher the sensitivity, the greater the update amplitude. It represents the sum of the average deviations of all observed data points relative to the original template position and multiplying it by b. It is used to adjust the position changes of the treatment area caused by environmental changes to help ensure the stability of the treatment position.

[0059] Example 3

[0060] In this embodiment, a method for verifying whether the measured data is abnormal is provided, such as Figure 1 As shown,

[0061] The verification unit 5 is used to verify the abnormal data in the measurement data of the measurement module 4, perform correction analysis on the abnormal data, output the correction data, and use the historical data as a reference to comprehensively output the correction instructions to the calibration distribution module 3; it can identify and correct the abnormal data, ensure the accuracy of the data during the treatment process, and effectively reduce potential risks;

[0062] The verification unit 5 includes an abnormality analysis module 501, a matching identification module 502 and an extraction module 503. The abnormality analysis module 501 is interactively connected with the measurement module 4 and the matching identification module 502 through a wireless network. The matching identification module 502 and the extraction module 503 are interactively connected through a wireless network, wherein:

[0063] The abnormality analysis module 501 is used to analyze the deviation between the measured data and the setting parameters of the angle adjustment component 102 and the light source adjustment component 103 based on the measured data of the measurement module 4, and calculate the corrected setting data; effectively identify the accuracy of the measured data and improve the reliability of the data;

[0064] The matching identification module 502 is used to retrieve similar historical measurement and deviation data from the storage module 6 based on the measurement data and its deviation value to obtain historical correction data; the use of historical correction data enables the device to learn from past data and optimize current data processing, thereby improving the overall intelligence level;

[0065] The extraction module 503 is used to perform a comprehensive analysis based on the correction device data, combined with similar historical measurements, deviations and correction data, and reference adjustment data, and output the reference correction device data to the calibration allocation module 3, which can more comprehensively evaluate and adjust the equipment operation status and improve the system decision-making ability.

[0066] Compared with the existing technology, real-time monitoring and abnormal data correction mechanism can ensure the accuracy of treatment process data and greatly reduce treatment risks. Through comprehensive analysis and feedback adjustment, an intelligent identification and correction system can be gradually formed, which can reduce human intervention and achieve a higher level of automation. Deviation analysis and historical data comparison enhance the accuracy of predicting and processing abnormal data, so that the device can maintain efficient and stable operation in various environments.

[0067] Working principle: the operator deploys the red light emitting lamp body 101 to the patient, starts the image acquisition module 201 to acquire images of the patient's body, automatically identifies the area of ​​the patient's body to be treated through the trauma recognition module 202, and the calibration allocation module 3 receives the automatic recognition data, edits and sends the angle adjustment instructions of the angle adjustment component 102 and the light source intensity adjustment instructions of the light source adjustment component 103 in different ranges, and manually customizes the settings of the calibration allocation module 3 through the active planning module 31. The angle adjustment component 102 and the light source adjustment component 103 correspondingly control the irradiation angle and irradiation intensity of the red light emitting lamp body 101 to the user's area to be treated. The irradiation angle and intensity data of the red light treatment unit 1 are monitored in real time through the measurement module 4. The setting parameters of the calibration allocation module 3 are analyzed through the abnormality analysis module 501 to see if there is an abnormality. If there is an abnormality, the initial correction data is output. At the same time, the correction data of the historical similar state is retrieved through the matching recognition module 502, and the correction data with reference is output after comprehensive analysis through the extraction module 503, and sent to the calibration allocation module 3 for correction, and the real-time data and historical data are stored through the storage module 6;

[0068] When the user is in the treatment state, the action recognition module 203 obtains the user's limb movement changes in real time, and dynamically generates update parameters based on the initial recognition data of the trauma recognition module 202, and sends them to the calibration allocation module 3 for dynamic adjustment, so that the angle adjustment component 102 and the light source adjustment component 103 can provide real-time feedback;

[0069] The present invention has significant advantages in intelligent calibration identification, personalized treatment, efficient setting and dynamic adjustment, and can effectively solve the shortcomings and limitations of traditional red light therapy devices in these aspects.

[0070] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A red light therapy device capable of online calibration, characterized in that: include: The red light therapy unit (1), as the core control terminal of each functional component and functional module, provides a red light projection therapy function with adjustable angle and intensity; The red light treatment unit (1) comprises a red light emitting lamp body (101), an angle adjustment component (102) and a light source adjustment component (103), wherein: A red light emitting lamp body (101), used for providing irradiation of red light of preset intensity after being triggered; An angle adjustment component (102) used to adjust the irradiation angle of the red light emitting lamp body (101) according to the position adjustment instruction; A light source adjustment component (103) for adjusting the light source intensity of the red light emitting lamp body (101) in different irradiation areas according to the intensity adjustment instruction; An identification unit (2) is used to collect and identify the appearance image before irradiation and the action image during irradiation of the area to be irradiated by the user; A calibration distribution module (3) is used to provide an irradiation angle adjustment instruction to the angle adjustment component (102) and a corresponding area light source intensity adjustment instruction to the light source adjustment component (103) based on a comprehensive analysis of the collected recognition data acquired by the recognition unit (2); A measuring module (4) for measuring real-time angle illumination parameters of the red light emitting lamp body (101) and light source intensity parameters in different areas; A verification unit (5) is used to verify abnormal data in the measurement data of the measurement module (4), perform correction analysis on the abnormal data, output correction data, and use historical data as a reference to comprehensively output correction instructions to the calibration distribution module (3); The storage module (6) is used to store all collected data, analyzed data and adjusted data, and to classify historical collected data and analyzed data.

2. A red light therapy device capable of online calibration according to claim 1, characterized in that: The recognition unit (2) comprises an image acquisition module (201), a wound recognition module (202) and a motion recognition module (203), wherein: An image acquisition module (201), used for acquiring images and performing preprocessing; A wound identification module (202) is used to construct a treatment identification model, preset an identification template, define key features in the image acquired by the image acquisition module (201) that meet the requirements of the identification template acquisition, and plan the area to be treated based on the defined key features; The motion recognition module (203) is used to obtain the user's motion adjustment data of the treatment area during treatment.

3. A red light therapy device capable of online calibration according to claim 2, characterized in that: The image acquisition module (201) performs a first type of recognition before the red light emitting lamp body (101) operates, and the wound recognition module (202) identifies and obtains the area to be treated. The wound recognition module (202) performs a second type of recognition while the red light emitting lamp body (101) operates, so that the motion recognition module (203) identifies and obtains motion adjustments of the treatment area.

4. The red light therapy device capable of online calibration according to claim 2, characterized in that: The treatment recognition model in the trauma recognition module (202) is constructed by a deep learning algorithm, and historical key feature data of the area to be treated and manually defined key feature data are obtained as training samples, which are divided into 70% test samples and 30% verification samples.

5. The red light therapy device capable of online calibration according to claim 2, characterized in that: The action recognition module (203) monitors user actions in a real-time image sequence through an object tracking algorithm, and based on the original template data of the planned treatment area provided by the wound recognition module (202), analyzes the updated parameters of the treatment area position, performs dynamic adjustments in real time, and feeds back instructions to the calibration allocation module (3).

6. The red light therapy device capable of online calibration according to claim 5, characterized in that: The update parameter of the treatment area position is used to indicate the moving coordinates of the center of the treatment area, expressed as (x, y), and its calculation formula is: Where G represents the updated parameter coordinates of the treatment area, P t represents the center coordinate of the user's target treatment area at the current time t, P e represents the center position coordinates of the original template area, a represents the weight coefficient of user action monitoring, b represents the influence coefficient of the surrounding environment change, N represents the number of motion data points observed during the monitoring process, and P o represents each observed data point.

7. The red light therapy device capable of online calibration according to claim 1, characterized in that: The calibration allocation module (3) is electrically connected to an active planning module (31) via a medium, and the active planning module (31) is used to actively intervene in setting properties of the calibration allocation module (3) and manually customize and change the angle adjustment instructions and corresponding area light source intensity adjustment instructions that have been automatically edited by the calibration allocation module (3).

8. The red light therapy device capable of online calibration according to claim 1, characterized in that: The measuring module (4) monitors the actual displacement data of the angle adjustment component (102) through a motion sensor, and correspondingly monitors the red light irradiation intensity data of each treatment area through a spectral monitoring method.

9. The red light therapy device capable of online calibration according to claim 1, characterized in that: The verification unit (5) comprises an abnormality analysis module (501), a matching identification module (502) and an extraction module (503), wherein the abnormality analysis module (501) is interactively connected with the measurement module (4) and the matching identification module (502) via a wireless network, and the matching identification module (502) is interactively connected with the extraction module (503) via a wireless network, wherein: An abnormality analysis module (501) is used to analyze the deviation between the measurement data and the setting parameters of the angle adjustment component (102) and the light source adjustment component (103) based on the measurement data of the measurement module (4), and calculate the correction setting data; A matching identification module (502) is used to retrieve similar historical measurement and deviation data from a storage module (6) based on the measurement data and its deviation value, and obtain historical correction data; The extraction module (503) is used to perform a comprehensive analysis based on the correction device data, combined with similar historical measurements, deviations and correction data, and reference adjustment data, and output the reference correction device data to the calibration allocation module (3).

10. The red light therapy device capable of online calibration according to claim 1, characterized in that: The red light emitting lamp body (101) is interactively connected with the angle adjustment component (102), the light source adjustment component (103) and the measuring module (4) via a wireless network; the calibration distribution module (3) is interactively connected with the angle adjustment component (102), the light source adjustment component (103), the storage module (6), the trauma recognition module (202) and the action recognition module (203) via a wireless network; and the verification unit (5) is interactively connected with the storage module (6) via a wireless network.

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