Intelligent acupuncture point positioning system based on traditional Chinese medicine clinic

Abstract

The invention relates to the technical field of traditional Chinese medicine clinic, in particular to an intelligent acupuncture point positioning system based on traditional Chinese medicine clinic, which comprises a prior database used for uploading human body acupuncture point distribution topology and storing the human body acupuncture point distribution topology; the acquisition module is used for acquiring acupuncture target limb image data of a user in real time; the editing module is used for receiving the acupuncture target limb image data acquired by the acquisition module and performing identification information marking on the acupuncture target limb image data; the prior acupuncture point topology is used as reference, after the acupuncture target limb image data of the user is collected, the acupuncture target limb image data of the user is fitted with the acupuncture point topology, so that acupuncture point positioning reference is provided, the system can be suitable for users of different body types, and in addition, when the system runs, the system is more accurate. Through related technologies such as image quality evaluation and image enhancement, the acupuncture target limb image data of the user is processed, so that the acupuncture point finally determined and output by the system is more accurate.

Description

Technical Field

[0001] The present invention relates to the technical field of TCM clinical practice, and in particular to an intelligent acupuncture point positioning system based on TCM clinical practice. Background Art

[0002] Acupuncture is a traditional Chinese medicine method that regulates qi and blood and dredges meridians by inserting fine needles into specific acupuncture points on the human body. It can be used to treat a variety of diseases, such as pain, insomnia, indigestion, etc. It has the advantages of simple operation and few side effects, and is gaining more and more recognition and application around the world.

[0003] As for the current acupuncture point positioning technology, its hardware-assisted technology has gradually matured, but there is a large gap in the field of software or smart devices;

[0004] To this end, we proposed a set of intelligent acupuncture point positioning systems based on traditional Chinese medicine clinical practice. Summary of the invention

[0005] In view of the above-mentioned shortcomings of the prior art, the present invention provides an intelligent acupuncture point positioning system based on clinical Chinese medicine, which solves the problems raised in the above-mentioned background technology.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0007] The intelligent positioning system of acupuncture points based on clinical Chinese medicine includes:

[0008] The priori database is used to upload the human body acupuncture point distribution topology and store the human body acupuncture point distribution topology; the acquisition module is used to obtain the user's acupuncture target limb image data in real time; the editing module is used to receive the acupuncture target limb image data collected by the acquisition module and mark the acupuncture target limb image data with identification information; the query module is used to read the identification information marked on the acupuncture target limb image data collected by the acquisition module, and search the human body acupuncture point distribution topology with the same mark in the priori database based on the identification information marked on the acupuncture target limb image data; the calibration module is used to Two groups of acupoint corresponding points are selected from the limb image data as reference points, and the corresponding acupoint points of the reference points are further queried on the human acupoint distribution topology currently queried by the query module, and the fitting scale is determined based on the above four groups of points; the fitting module is used to receive the fitting scale determined in the calibration module, and scale the human acupoint distribution topology found by the query module based on the fitting scale, and further based on the two groups of reference points on the acupuncture target limb image and the corresponding points of the human acupoint distribution topology, the human acupoint distribution topology is covered on the surface of the acupuncture target limb image, so that the reference points coincide with the corresponding points of the reference points.

[0009] Furthermore, the human acupuncture point distribution topology uploaded in the priori database is manually uploaded by the system end user, and the human acupuncture point distribution topology is composed of plane points and lines, and the human acupuncture point distribution topology includes: two groups of upper limb topologies, two groups of lower limb topologies, one group of head topology and one group of chest topology, and each group of human acupuncture point distribution topology includes four groups of sub-topologies, and the four groups of sub-topologies derived from the same human acupuncture point distribution topology correspond to the acupuncture point distribution in the four positive directions of the front, back, left and right of the human acupuncture point distribution topology;

[0010] The priori database is provided with submodules at the lower level, including:

[0011] A marking unit, used to mark the topological source of the human body acupuncture point distribution;

[0012] The management unit is used to read the marking information of the human body acupuncture point distribution topology and distinguish and store the human body acupuncture point distribution topology stored in the priori database.

[0013] Furthermore, the operation of marking the source of the human body acupuncture point distribution topology in the marking unit is an operation of marking the name of the human body acupuncture point distribution topology;

[0014] When the marking unit marks the source of the human body acupuncture point distribution topology, the marking content of each human body acupuncture point distribution topology includes: the front perspective topology of the right upper limb, the rear perspective topology of the right upper limb, the left perspective topology of the right upper limb, and the right perspective topology of the right upper limb; the front perspective topology of the left upper limb, the rear perspective topology of the left upper limb, the left perspective topology of the left upper limb, and the right perspective topology of the left upper limb; the front perspective topology of the right lower limb, the rear perspective topology of the right lower limb, the left perspective topology of the right lower limb, and the right perspective topology of the right lower limb; the front perspective topology of the left lower limb, the rear perspective topology of the left lower limb, the left perspective topology of the left lower limb, and the right perspective topology of the left lower limb; the front perspective head topology, the rear perspective head topology, the left perspective head topology, and the right perspective head topology; the front perspective chest topology, the rear perspective chest topology, the left perspective chest topology, and the right perspective chest topology.

[0015] Furthermore, the acquisition module is internally provided with submodules, including:

[0016] A camera module is used to collect image data of the user's acupuncture target limb in real time;

[0017] Among them, the user's acupuncture target limb image data collected by the camera module is fed back to the acquisition module in real time. The camera module is integrated with a high-speed high-definition camera. During the operation stage of the camera module, the frequency of collecting acupuncture target limb image data is not less than 60 frames per second, and the collection time is 1 to 3 seconds. After the acupuncture target limb image data is collected, a group of acupuncture target limb image data with the best quality is further selected based on the quality of the acupuncture target limb image data, and the selected acupuncture target limb image data is subjected to contour enhancement processing.

[0018] Furthermore, the quality of the acupuncture target limb image data is calculated by the following formula:

[0019]

[0020] Where: Q is the quality of the acupuncture target limb image data; M and N are the length and width of the acupuncture target limb image data; ▽ is the gradient operator; I(i, j) is the pixel value of the acupuncture target limb image data at position (i, j); d color is the maximum color distance in the acupuncture target limb image data; d max is the preset maximum color distance of the image; σ noise is the noise variance of the acupuncture target limb image data; σ total is the total variance of the acupuncture target limb image data; ω1, ω2, ω3 are weights;

[0021] Among them, the preset maximum color distance d of the image max The weights ω1, ω2, and ω3 are all in the range of (0, 1], and the sum of the weights ω1, ω2, and ω3 is in the range of (0, 3]. The larger the quality Q value of the acupuncture target limb image data, the better the quality of the acupuncture target limb image data. Conversely, the worse the quality of the acupuncture target limb image data.

[0022] Furthermore, the contour enhancement processing logic of the acupuncture target limb image data is expressed as:

[0023]

[0024] Where: I′(i,j) is the output image data of the acupuncture target limb after contour enhancement processing; I(i,j) is the original image data of the acupuncture target limb; k is the enhancement coefficient; G x (i,j) is the horizontal gradient; G y (i, j) is the vertical gradient; θ0 is the reference direction;

[0025] Where f(·) is the enhancement function, p is an enhancement parameter, and the enhancement parameter p>1.

[0026] Furthermore, the operation of marking the identification information of the acupuncture target limb image data in the editing module is performed by the system end user, and the identification information marked for the acupuncture target limb image data is any one of the marking contents of the human body acupuncture point distribution topology.

[0027] Furthermore, during the operation phase of the calibration module, the fitting scale determination logic is:

[0028]

[0029] Where: k is the fitting scale; d(p1, p2) is the distance between two groups of reference points in the acupuncture target limb image data; d′(p1, p2) is the distance between the corresponding points of the two groups of reference points in the topology of the human acupoint distribution.

[0030] Furthermore, after the human body acupuncture point distribution topology is overlaid on the surface of the acupuncture target limb image, the acupuncture points pointed to in the human body acupuncture point distribution topology on the acupuncture target limb image are the acupuncture points on the acupuncture target limb image.

[0031] Furthermore, the prior database is interactively connected to a marking unit and a management unit at a lower level through a wireless network, the prior database is interactively connected to a collection module through a wireless network, the collection module is interactively connected to a camera module through a wireless network, the collection module is interactively connected to an editing module and a query module through a wireless network, the query module is interactively connected to the prior database through a wireless network, and the query module is interactively connected to a calibration module and a fitting module through a wireless network.

[0032] Compared with the known public technology, the technical solution provided by the present invention has the following beneficial effects:

[0033] The present invention provides an intelligent acupuncture point positioning system based on clinical Chinese medicine. During operation, the system uses a priori acupuncture point topology as a reference. After collecting acupuncture target limb image data of a user, the acupuncture target limb image data of the user is fitted with the acupuncture point topology, thereby providing an acupuncture point positioning reference. The system has strong adaptability and can be applied to users of different body shapes. In addition, when the system is running, the acupuncture target limb image data of the user is processed through image quality evaluation, image enhancement and other related technologies, so that the acupuncture points finally determined and output by the system are more accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. 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.

[0035] Figure 1 It is a structural diagram of the intelligent positioning system of acupuncture points based on clinical Chinese medicine. 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 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] Embodiment 1:

[0039] The intelligent positioning system of acupuncture points based on TCM clinical practice in this embodiment is as follows: Figure 1 As shown, including:

[0040] A priori database, used to upload and store the human body acupuncture point distribution topology;

[0041] The human acupuncture point distribution topology uploaded in the priori database is manually uploaded by the system end user. The human acupuncture point distribution topology is composed of plane points and lines. The human acupuncture point distribution topology includes: two groups of upper limb topologies, two groups of lower limb topologies, one group of head topology and one group of chest topology. Each group of human acupuncture point distribution topology contains four groups of sub-topologies. The four groups of sub-topologies derived from the same human acupuncture point distribution topology correspond to the acupuncture point distribution in the four positive directions of the front, back, left and right of the human acupuncture point distribution topology.

[0042] The priori database is provided with submodules at the lower level, including:

[0043] A marking unit, used to mark the topological source of the human body acupuncture point distribution;

[0044] A management unit, used for reading the marking information of the human acupuncture point distribution topology, and distinguishing and storing the human acupuncture point distribution topology stored in the prior database;

[0045] An acquisition module is used to obtain the user's acupuncture target limb image data in real time;

[0046] The acquisition module is internally provided with submodules, including:

[0047] A camera module is used to collect image data of the user's acupuncture target limb in real time;

[0048] The user's acupuncture target limb image data collected by the camera module is fed back to the acquisition module in real time. The camera module is integrated with a high-speed high-definition camera. During the operation stage of the camera module, the frequency of collecting acupuncture target limb image data is not less than 60 frames per second, and the collection time is 1 to 3 seconds. After the acupuncture target limb image data is collected, a group of acupuncture target limb image data with the best quality is further selected based on the quality of the acupuncture target limb image data, and the selected acupuncture target limb image data is subjected to contour enhancement processing;

[0049] The quality of the acupuncture target limb image data is calculated by the following formula:

[0050]

[0051] Where: Q is the quality of the acupuncture target limb image data; M and N are the length and width of the acupuncture target limb image data; ▽ is the gradient operator; I(i, j) is the pixel value of the acupuncture target limb image data at position (i, j); d color is the maximum color distance in the acupuncture target limb image data; d max is the preset maximum color distance of the image; σ no i se is the noise variance of the acupuncture target limb image data; σ tota l is the total variance of the acupuncture target limb image data; ω1, ω2, ω3 are weights;

[0052] Among them, the preset maximum color distance d of the image max The weights ω1, ω2, and ω3 are all in the range of (0, 1], and the sum of the weights ω1, ω2, and ω3 is between (0, 3]. The larger the quality Q value of the acupuncture target limb image data, the better the quality of the acupuncture target limb image data. Conversely, the worse the quality of the acupuncture target limb image data.

[0053] The contour enhancement processing logic of acupuncture target limb image data is expressed as:

[0054]

[0055] Where: I′(i,j) is the output image data of the acupuncture target limb after contour enhancement processing; I(i,j) is the original image data of the acupuncture target limb; k is the enhancement coefficient; G x (i,j) is the horizontal gradient; G y (i, j) is the vertical gradient; θ0 is the reference direction;

[0056] Where f(·) is the enhancement function, p is an enhancement parameter, and the enhancement parameter p>1;

[0057] An editing module is used to receive the acupuncture target limb image data collected by the collection module and mark the acupuncture target limb image data with identification information;

[0058] A query module is used to read the identification information of the acupuncture target limb image data tags collected by the collection module, and search the human body acupuncture point distribution topology with the same tag in the prior database based on the identification information of the acupuncture target limb image data tags;

[0059] The calibration module is used to select two groups of acupoint corresponding points in the acupuncture target limb image data as reference points, further query the acupoint points corresponding to the reference points on the human acupoint distribution topology currently queried by the query module, and determine the fitting scale based on the above four groups of points;

[0060] During the calibration module operation phase, the fitting scale determination logic is as follows:

[0061]

[0062] Where: k is the fitting scale; d(p1, p2) is the distance between two groups of reference points in the acupuncture target limb image data; d′(p1, p2) is the distance between the corresponding points of the two groups of reference points in the topology of human acupoint distribution;

[0063] A fitting module is used to receive the fitting scale determined in the calibration module, scale the human acupoint distribution topology found by the query module based on the fitting scale, and further overlay the human acupoint distribution topology on the surface of the acupuncture target limb image based on two groups of reference points on the acupuncture target limb image and corresponding points of the human acupoint distribution topology reference points, so that the reference points coincide with the corresponding points of the reference points;

[0064] The priori database is interactively connected to the marking unit and the management unit at the lower level through the wireless network, the priori database is interactively connected to the acquisition module through the wireless network, the acquisition module is interactively connected to the camera module through the wireless network, the acquisition module is interactively connected to the editing module and the query module through the wireless network, the query module is interactively connected to the priori database through the wireless network, and the query module is interactively connected to the calibration module and the fitting module through the wireless network.

[0065] In this embodiment, the priori database runs to upload the human body acupuncture point distribution topology, stores the human body acupuncture point distribution topology, the marking unit synchronously marks the source of the human body acupuncture point distribution topology, the management unit reads the marking information of the human body acupuncture point distribution topology in real time, distinguishes and stores the human body acupuncture point distribution topology stored in the priori database, the acquisition module further obtains the user's acupuncture target limb image data in real time, the camera module acquires the user's acupuncture target limb image data in real time, the editing module post-operates to receive the acupuncture target limb image data collected by the acquisition module, marks the acupuncture target limb image data with identification information, and then the query module reads the identification information marked by the acupuncture target limb image data collected by the acquisition module. The identification information of the body image data mark is used to search the human acupoint distribution topology with the same mark in the prior database. The calibration module simultaneously selects two groups of acupoint corresponding points in the acupuncture target limb image data as reference points, and further queries the acupoint points corresponding to the reference points on the human acupoint distribution topology currently queried by the query module. The fitting scale is determined based on the above four groups of points. Finally, the fitting scale determined in the calibration module is received by the fitting module, and the human acupoint distribution topology found by the query module is scaled based on the fitting scale. Further, based on the two groups of reference points on the acupuncture target limb image and the corresponding points of the human acupoint distribution topology reference points, the human acupoint distribution topology is covered on the surface of the acupuncture target limb image, so that the reference points coincide with the corresponding points of the reference points.

[0066] Through the operation of the system in the above embodiment, an intelligent auxiliary positioning effect is provided for the acupuncture point positioning in clinical Chinese medicine, which brings a positive effect of "evolution" to the field of acupuncture in Chinese medicine;

[0067] It should be noted that this technical solution is also applicable to the treatment of clinical moxibustion in traditional Chinese medicine.

[0068] Embodiment 2:

[0069] In terms of specific implementation, based on Example 1, this example refers to Figure 1 The intelligent positioning system for acupuncture points based on clinical Chinese medicine in Example 1 is further described in detail:

[0070] An operation of marking the source of the topological distribution of human acupuncture points in the marking unit, that is, an operation of marking the name of the topological distribution of human acupuncture points;

[0071] When the marking unit marks the source of the human body acupuncture point distribution topology, the marking content of each human body acupuncture point distribution topology includes: the front perspective topology of the right upper limb, the back perspective topology of the right upper limb, the left perspective topology of the right upper limb, and the right perspective topology of the right upper limb; the front perspective topology of the left upper limb, the back perspective topology of the left upper limb, the left perspective topology of the left upper limb, and the right perspective topology of the left upper limb; the front perspective topology of the right lower limb, the back perspective topology of the right lower limb, the left perspective topology of the right lower limb, and the right perspective topology of the right lower limb; the front perspective topology of the left lower limb, the back perspective topology of the left lower limb, the left perspective topology of the left lower limb, and the right perspective topology of the left lower limb; the front perspective head topology, the back perspective head topology, the left perspective head topology, and the right perspective head topology; the front perspective chest topology, the back perspective chest topology, the left perspective chest topology, and the right perspective chest topology.

[0072] Through the above settings, the marking content of the human body's acupuncture point distribution topology is further accurately limited.

[0073] like Figure 1 As shown, the operation of marking the identification information of the acupuncture target limb image data in the editing module is performed by the system end user, and the identification information marked for the acupuncture target limb image data is any one of the marking contents of the human body acupuncture point distribution topology.

[0074] Through the above settings, specific operation logic constraints are provided for the operation of marking the identification information of the acupuncture target limb image data.

[0075] like Figure 1 As shown, after the human body acupuncture point distribution topology is overlaid on the surface of the acupuncture target limb image, the acupuncture points pointed to in the human body acupuncture point distribution topology on the acupuncture target limb image are the acupuncture points on the acupuncture target limb image.

[0076] In summary, during the operation of the system in the above embodiment, the prior acupuncture point topology is used as a reference. After collecting the user's acupuncture target limb image data, the user's acupuncture target limb image data is fitted with the acupuncture point topology, thereby providing an acupuncture point positioning reference. The system has strong adaptability and can be suitable for users of different body shapes. In addition, when the system is running, the user's acupuncture target limb image data is processed through image quality assessment and image enhancement and other related technologies, so that the system can finally determine the output acupuncture points more accurately.

[0077] 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, those 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. The intelligent positioning system of acupuncture points based on clinical Chinese medicine is characterized by: include: A priori database, used to upload and store the human body acupuncture point distribution topology; An acquisition module is used to obtain the user's acupuncture target limb image data in real time; An editing module is used to receive the acupuncture target limb image data collected by the collection module and mark the acupuncture target limb image data with identification information; A query module is used to read the identification information of the acupuncture target limb image data tags collected by the collection module, and search the human body acupuncture point distribution topology with the same tag in the prior database based on the identification information of the acupuncture target limb image data tags; The calibration module is used to select two groups of acupoint corresponding points in the acupuncture target limb image data as reference points, further query the acupoint points corresponding to the reference points on the human acupoint distribution topology currently queried by the query module, and determine the fitting scale based on the above four groups of points; The fitting module is used to receive the fitting scale determined in the calibration module, scale the human acupoint distribution topology found by the query module based on the fitting scale, and further overlay the human acupoint distribution topology on the surface of the acupuncture target limb image based on two groups of reference points on the acupuncture target limb image and the corresponding points of the human acupoint distribution topology reference points, so that the reference points coincide with the corresponding points of the reference points.

2. The intelligent acupuncture point positioning system based on TCM clinical practice according to claim 1 is characterized in that: The human acupuncture point distribution topology uploaded in the priori database is manually uploaded by the system end user, and the human acupuncture point distribution topology is composed of plane points and lines, and the human acupuncture point distribution topology includes: two groups of upper limb topologies, two groups of lower limb topologies, one group of head topology and one group of chest topology, and each group of human acupuncture point distribution topology includes four groups of sub-topologies, and the four groups of sub-topologies derived from the same human acupuncture point distribution topology correspond to the acupuncture point distribution in the front, back, left and right four groups of positive directions of the human acupuncture point distribution topology; The priori database is provided with submodules at the lower level, including: A marking unit, used to mark the topological source of the human body acupuncture point distribution; The management unit is used to read the marking information of the human body acupuncture point distribution topology and distinguish and store the human body acupuncture point distribution topology stored in the priori database.

3. The intelligent acupuncture point positioning system based on TCM clinical practice according to claim 2 is characterized in that: The operation of marking the source of the topological distribution of human acupuncture points in the marking unit is an operation of marking the name of the topological distribution of human acupuncture points; When the marking unit marks the source of the human body acupuncture point distribution topology, the marking content of each human body acupuncture point distribution topology includes: the front perspective topology of the right upper limb, the rear perspective topology of the right upper limb, the left perspective topology of the right upper limb, and the right perspective topology of the right upper limb; the front perspective topology of the left upper limb, the rear perspective topology of the left upper limb, the left perspective topology of the left upper limb, and the right perspective topology of the left upper limb; the front perspective topology of the right lower limb, the rear perspective topology of the right lower limb, the left perspective topology of the right lower limb, and the right perspective topology of the right lower limb; the front perspective topology of the left lower limb, the rear perspective topology of the left lower limb, the left perspective topology of the left lower limb, and the right perspective topology of the left lower limb; the front perspective head topology, the rear perspective head topology, the left perspective head topology, and the right perspective head topology; the front perspective chest topology, the rear perspective chest topology, the left perspective chest topology, and the right perspective chest topology.

4. The intelligent acupuncture point positioning system based on TCM clinical practice according to claim 1 is characterized in that: The acquisition module is internally provided with submodules, including: A camera module is used to collect image data of the user's acupuncture target limb in real time; Among them, the user's acupuncture target limb image data collected by the camera module is fed back to the acquisition module in real time. The camera module is integrated with a high-speed high-definition camera. During the operation stage of the camera module, the frequency of collecting acupuncture target limb image data is not less than 60 frames per second, and the collection time is 1 to 3 seconds. After the acupuncture target limb image data is collected, a group of acupuncture target limb image data with the best quality is further selected based on the quality of the acupuncture target limb image data, and the selected acupuncture target limb image data is subjected to contour enhancement processing.

5. The intelligent acupuncture point positioning system based on clinical Chinese medicine according to claim 4 is characterized in that: The quality of the acupuncture target limb image data is calculated by the following formula: Where: Q is the quality of the acupuncture target limb image data; M and N are the length and width of the acupuncture target limb image data; is the gradient operator; I(i,j) is the pixel value of the acupuncture target limb image data at position (i,j); d color is the maximum color distance in the acupuncture target limb image data; d max is the preset maximum color distance of the image; σ noise is the noise variance of the acupuncture target limb image data; σ total is the total variance of the acupuncture target limb image data; ω1, ω2, ω3 are weights; Among them, the preset maximum image color distance d max The weights ω1, ω2, and ω3 are all in the range of (0, 1], and the sum of the weights ω1, ω2, and ω3 is in the range of (0, 3]. The larger the quality Q value of the acupuncture target limb image data, the better the quality of the acupuncture target limb image data. Conversely, the worse the quality of the acupuncture target limb image data.

6. The intelligent acupuncture point positioning system based on clinical Chinese medicine according to claim 4 is characterized in that: The contour enhancement processing logic of the acupuncture target limb image data is expressed as: Where: I′(i,j) is the output image data of the acupuncture target limb after contour enhancement processing; I(i,j) is the original image data of the acupuncture target limb; k is the enhancement coefficient; G x (i, j) is the horizontal gradient; G y (i, j) is the vertical gradient; θ0 is the reference direction; Where f(·) is the enhancement function, p is an enhancement parameter, and the enhancement parameter p>

1.

7. The intelligent acupuncture point positioning system based on TCM clinical practice according to claim 1 is characterized in that: The operation of marking the identification information of the acupuncture target limb image data in the editing module is performed by the system end user, and the identification information marked for the acupuncture target limb image data is any one of the marking contents of the human body acupuncture point distribution topology.

8. The intelligent acupuncture point positioning system based on TCM clinical practice according to claim 1 is characterized in that: During the operation phase of the calibration module, the fitting scale determination logic is: Where: k is the fitting scale; d(p1, p2) is the distance between two groups of reference points in the acupuncture target limb image data; d′(p1, p2) is the distance between the corresponding points of the two groups of reference points in the topology of the human acupoint distribution.

9. The intelligent acupuncture point positioning system based on TCM clinical practice according to claim 1 is characterized in that: After the human body acupuncture point distribution topology is overlaid on the surface of the acupuncture target limb image, the acupuncture points pointed to in the human body acupuncture point distribution topology on the acupuncture target limb image are the acupuncture points on the acupuncture target limb image.

10. The intelligent acupuncture point positioning system based on TCM clinical practice according to claim 1 is characterized in that: The priori database is interactively connected to a marking unit and a management unit at a lower level through a wireless network, the priori database is interactively connected to a collection module through a wireless network, the collection module is interactively connected to a camera module through a wireless network, the collection module is interactively connected to an editing module and a query module through a wireless network, the query module is interactively connected to the priori database through a wireless network, and the query module is interactively connected to a calibration module and a fitting module through a wireless network.

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