Digital traditional Chinese medicine big model based on natural language and traditional Chinese medicine knowledge base

Abstract

The invention relates to a digital traditional Chinese medicine large model based on a natural language and a traditional Chinese medicine knowledge base, which is applied to the technical field of digital traditional Chinese medicine, and comprises a traditional Chinese medicine knowledge base unit and a doctor terminal model, and the doctor terminal model comprises a reception recording unit, a prescription recommendation unit, a prescription issuing unit and an auditing and commenting unit. The digital traditional Chinese medicine large model not only can recommend prescriptions for doctors according to patient information when doctors receive doctors, but also can audit and comment the prescriptions issued by the doctors from multiple aspects and promote the doctors to modify and perfect the prescriptions according to audit and comment results, so that the diagnosis and treatment effect and the diagnosis and treatment accuracy can be improved, and the diagnosis and treatment efficiency is improved. In addition, when prescriptions are recommended to doctors, recommendation basis of each prescription in the prescriptions can be explained, so that opportunities of learning and deducing thinking can be provided for the doctors, development of self-ability of the doctors can be promoted, and inheritance of traditional Chinese medicine can be promoted.

Description

Technical Field

[0001] The present invention relates to a digital TCM large model, in particular to a digital TCM large model based on natural language and TCM knowledge base and applied in the field of digital TCM technology. Background Art

[0002] With the continuous advancement of science and technology, traditional Chinese medicine is gradually realizing the transformation into digitalization, intelligence and informatization.

[0003] The invention patent with publication number CN109346185B discloses a TCM auxiliary diagnosis system, which can help doctors detect patients' health risks in advance based on existing symptoms and realize the function of disease auxiliary diagnosis.

[0004] In the actual application of traditional Chinese medicine, after the doctor has finished the consultation, he usually needs to prescribe the corresponding prescription for the patient. Although the traditional Chinese medicine auxiliary diagnosis system in the above patent can help doctors diagnose diseases, its functions are relatively simple and cannot assist doctors in prescribing. It is also unable to review and comment on the prescriptions prescribed by doctors, and its functionality and practicality are poor. Therefore, we propose a digital traditional Chinese medicine big model based on natural language and traditional Chinese medicine knowledge base. Summary of the invention

[0005] In view of the above-mentioned prior art, the technical problem to be solved by the present invention is that although the traditional Chinese medicine systems and models in the prior art can help doctors diagnose diseases, they cannot assist doctors in prescribing medicines, and cannot review and comment on the prescriptions prescribed by doctors, and their functionality and practicality are poor.

[0006] To solve the above problems, the present invention provides a digital TCM big model based on natural language and TCM knowledge base, including a TCM knowledge base unit storing TCM knowledge and a doctor-side model, wherein the doctor-side model includes a consultation record unit, a prescription recommendation unit, a prescription issuing unit, and a review and comment unit; The consultation record unit is used to record patient information and the doctor's own thinking; The prescription recommendation unit is used to recommend prescriptions to doctors based on the TCM knowledge in the TCM knowledge base unit and according to patient information, and to explain the basis for recommending each ingredient in the prescription; The prescription issuing unit is used to modify and issue prescriptions; The review and comment unit is used to review and comment on the prescriptions issued by the doctor based on the TCM knowledge in the TCM knowledge base unit and the patient information, and to display the review and comment results to the doctor; The method of using the doctor-side model includes the following steps: S1. The doctor collects patient information through observation, auscultation, olfaction, questioning and palpation, and records the patient information and his own thinking through the consultation record unit; S2, the prescription recommendation unit recommends prescriptions for doctors; S3. The doctor modifies the recommended prescription and issues a preliminary prescription through the prescription issuing unit; S4. The prescription review unit reviews and comments on the preliminary prescription issued by the doctor and shows the review and comment results to the doctor; S5. Based on the review and evaluation results, the doctor makes a second adjustment to the prescription through the prescription issuing unit and issues the final prescription.

[0007] In the above-mentioned digital TCM big model based on natural language and TCM knowledge base, when doctors see patients, it can not only recommend prescriptions to them based on patient information, but also review and comment on the prescriptions issued by doctors from multiple aspects, and prompt doctors to adjust and modify prescriptions based on the review and comment results, thereby not only improving the diagnosis and treatment effect and accuracy, but also ensuring the quality of prescriptions and medication safety.

[0008] As a further improvement of the present application, the specific method for reviewing and commenting on the preliminary prescription issued by the doctor in step S4 is: S41. Review and comment on the completeness of the preliminary prescription and give prompts when there are problems with the completeness of the preliminary prescription; S42. Review and comment on the safety of the initial prescription from three aspects: the inspection of the 18 anti-reactions and 19 fears of Chinese medicines, the inspection of narcotic drugs and dosage, and the inspection of contraindications to Chinese medicines and prescriptions for special symptoms and constitutions; S43. Evaluate the symptoms recorded by the doctor and the doctor's own differentiation of syndromes, and remind the doctor when the doctor's differentiation of syndromes is not completely correct, so that the doctor can strengthen the inquiry of symptoms or modify the differentiation of syndromes; S44, extracting basic elements from the preliminary prescription, determining the range of symptoms and syndromes that can be treated with the preliminary prescription based on the extracted basic elements, and comparing with the patient information recorded by the doctor to determine the rationality of the preliminary prescription; Basic elements include but are not limited to classic prescriptions and commonly used drug pairs.

[0009] As a further improvement of the present application, the TCM knowledge stored in the TCM knowledge base unit includes but is not limited to TCM classical theoretical knowledge, TCM and prescription knowledge, TCM health care knowledge, TCM diagnosis knowledge, meridian and acupoint knowledge, and food characteristics and efficacy knowledge.

[0010] As another improvement of the present application, the digital TCM model also includes a user-end model, which includes an information collection unit, an interactive collection unit based on natural language processing technology, an information sorting unit, and a diet planning unit; The information collection unit includes a location collection module, a climate collection module, and a weather collection module. The location collection module is used to collect the user's location information, and the climate collection module and the weather collection module are used to collect corresponding climate information and weather information according to the user's location information. The interactive collection unit is used to perform voice interaction with the user through natural language processing technology to collect the user's physical state information. The interactive collection unit includes a voice self-description module, which is used to collect the user's physical state information according to the user's voice self-description; The information sorting unit is used to sort the information collected by the information collecting unit and the interactive collecting unit into an information package, and send the information package to the diet planning unit; The diet planning unit is used to formulate a diet plan for the user based on the TCM knowledge in the TCM knowledge base unit and the information package organized by the information organization unit.

[0011] As another improved supplement to the present application, the interactive collection unit also includes a missing check and gap filling module and a voice question and answer module. The missing check and gap filling module is used to determine whether there are any omissions in the user's physical state information collected by the voice self-narration module, and control the voice question and answer module to conduct voice question and answer interaction with the user based on the judgment result, so as to further collect the missing user's physical state information.

[0012] As another improved supplement to the present application, the digital Chinese medicine model also includes a model interconnection unit, and the model interconnection unit is used to connect the doctor-side model and the user-side model. The doctor-side model also includes an intervention adjustment unit. When the user visits the doctor, the diet planning unit can send the diet plan it has prepared for the user to the intervention adjustment unit through the model interconnection unit, so that the doctor can reasonably adjust the diet plan according to the specific situation of the user, and send the adjusted diet plan to the diet planning unit through the model interconnection unit.

[0013] As another improvement of the present application, the user-side model also includes a health planning unit, and the information package organized by the information organization unit will also be sent to the health planning unit. The health planning unit is used to formulate health suggestions for users based on the traditional Chinese medicine knowledge in the traditional Chinese medicine knowledge base unit and the information package organized by the information organization unit. The health planning unit includes an exercise planning module and a work and rest adjustment module, which is used to formulate health suggestions for users in terms of exercise. The work and rest adjustment module is used to formulate health suggestions for users in terms of work and rest adjustment. The information collection unit also includes a solar term collection module, which is used to collect solar term information.

[0014] As another improvement supplement to the present application, the user-side model also includes a feedback adjustment unit, which includes an interactive feedback module and a feedback collation module. The interactive feedback module is used to collect user feedback, and the feedback collation module is used to collate user feedback and send the collated feedback to the diet planning unit and the health planning unit.

[0015] As another improvement supplement to the present application, the user-side model also includes an acupoint pressing guidance unit, which includes an acupoint display module and an acupoint pressing planning module. The acupoint pressing planning module is used to formulate an acupoint pressing plan for the user based on the traditional Chinese medicine knowledge in the traditional Chinese medicine knowledge base unit and the user's physical condition information collected by the interactive collection unit. The acupoint display module is used to display a human acupoint map to help users accurately find the corresponding acupoints.

[0016] As another improved supplement of the present application, the acupoint pressing guidance unit also includes an acupoint pressing recognition module and an acupoint pressing timing module. The acupoint pressing recognition module is used to recognize the acupoint name spoken by the user, and the acupoint pressing timing module is used to provide timing instructions to the user according to the acupoint pressing plan formulated by the acupoint pressing planning module.

[0017] To sum up, through the setting of the TCM knowledge base unit and the doctor-side model, the digital TCM big model in this application can not only recommend prescriptions to doctors based on patient information when doctors are seeing patients, but also review and comment on the prescriptions issued by doctors from multiple aspects, and prompt doctors to modify and improve the prescriptions based on the review and comment results, thereby not only improving the diagnosis and treatment effect and accuracy of diagnosis and treatment, but also ensuring the quality of prescriptions and drug safety, greatly improving the intelligence and function of the TCM big model. In addition, when recommending prescriptions to doctors, the recommendation basis of each prescription in the prescription will also be explained, thereby providing doctors with an opportunity to learn deductive thinking, which can not only promote the development of doctors' own abilities but also promote the inheritance of TCM; and through the setting of the user-side model, the digital TCM big model in this application can also be based on TCM knowledge, based on According to the user's physical condition information and combined with the climate, weather characteristics and solar term characteristics of the user's location, diet plans, health suggestions and acupressure plans are tailored for the user. This not only realizes the deep integration of TCM and modern technology, but also greatly improves the user's quality of life and health level. It fully reflects the core concept of TCM "harmony between man and nature", can provide people with more convenient and efficient health services, and promote the modernization of TCM. In addition, the doctor-side model and the user-side model can not only be used independently, but also can be used in combination. The doctor can use the doctor-side model to make further targeted adjustments to the diet plan, health suggestions and acupressure plan formulated for the user by the user-side model, thereby improving the reliability and effectiveness of the diet plan, etc., and further improving the functionality and intelligence of the digital TCM model. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 This is a structural diagram of a digital TCM model based on natural language and TCM knowledge base in the first embodiment of the present application; Figure 2 This is a structural diagram of a digital TCM model based on natural language and TCM knowledge base in the second embodiment of the present application; Figure 3 This is a structural block diagram of the user end model in the second implementation mode of this application; Figure 4 This is a structural block diagram of the information acquisition unit in the second embodiment of the present application; Figure 5 This is a structural block diagram of an interactive collection unit in the second embodiment of the present application; Figure 6 This is a structural block diagram of the health planning unit in the third embodiment of the present application; Figure 7 This is a structural block diagram of the information acquisition unit in the third embodiment of the present application; Figure 8 This is a structural block diagram of a feedback adjustment unit in the third implementation manner of the present application; Fig. 9 This is a structural block diagram of the acupoint guidance unit in the fourth embodiment of the present application. DETAILED DESCRIPTION

[0019] Four implementation modes of the present application are described in detail below with reference to the accompanying drawings.

[0020] The first implementation method: Figure 1 A digital TCM big model based on natural language and TCM knowledge base is shown, including a TCM knowledge base unit storing TCM knowledge and a doctor-side model, wherein the doctor-side model includes a consultation record unit, a prescription recommendation unit, a prescription issuing unit, and a review and comment unit; The TCM knowledge stored in the TCM knowledge base unit includes, but is not limited to, TCM classical theory knowledge, TCM and prescription knowledge, TCM health care knowledge, TCM diagnosis knowledge, meridian acupoint knowledge, and food characteristics and efficacy knowledge; The consultation recording unit is used to record patient information and the doctor's own thinking and differentiation of syndromes; The prescription recommendation unit is used to recommend prescriptions to doctors based on the TCM knowledge in the TCM knowledge base unit and according to patient information, and explain the recommendation basis for each prescription in the prescription; The prescription issuing unit is used to modify and issue prescriptions; The review and comment unit is used to review and comment on the prescriptions issued by the doctor based on the TCM knowledge in the TCM knowledge base unit combined with the patient information, and to display the review and comment results to the doctor; The method for using the doctor-side model includes the following steps: S1. The doctor collects patient information through observation, auscultation, olfaction, questioning and palpation, and records the patient information and his own thinking through the consultation record unit; S2, the prescription recommendation unit recommends prescriptions for doctors; S3. The doctor modifies the recommended prescription and issues a preliminary prescription through the prescription issuing unit; S4. The prescription review unit reviews and comments on the preliminary prescription issued by the doctor and shows the review and comment results to the doctor; S5. Based on the review and evaluation results, the doctor makes a second adjustment to the prescription through the prescription issuing unit and issues the final prescription.

[0021] The specific method for reviewing and commenting on the preliminary prescription issued by the doctor in step S4 is: S41. Review and comment on the completeness of the preliminary prescription and give prompts when there are problems with the completeness of the preliminary prescription; S42. Review and comment on the safety of the initial prescription from three aspects: the inspection of the 18 anti-reactions and 19 fears of Chinese medicines, the inspection of narcotic drugs and dosage, and the inspection of contraindications to Chinese medicines and prescriptions for special symptoms and constitutions; S43. Evaluate the symptoms recorded by the doctor and the doctor's own differentiation of syndromes, and remind the doctor when the doctor's differentiation of syndromes is not completely correct, so that the doctor can strengthen the inquiry of symptoms or modify the differentiation of syndromes; S44, extracting basic elements from the preliminary prescription, determining the range of symptoms and syndromes that can be treated with the preliminary prescription based on the extracted basic elements, and comparing with the patient information recorded by the doctor to determine the rationality of the preliminary prescription; The basic elements include but are not limited to classic prescriptions and commonly used drug pairs.

[0022] Through the setting of the TCM knowledge base unit and the doctor-side model, the digital TCM big model in this application can not only recommend prescriptions to doctors based on patient information when doctors are seeing patients, but also review and comment on the prescriptions issued by doctors from multiple aspects, and prompt doctors to modify and improve the prescriptions based on the review and comment results, thereby not only improving the diagnosis and treatment effect and accuracy of diagnosis and treatment, but also ensuring the quality of prescriptions and drug safety, greatly improving the intelligence and function of the TCM big model. In addition, when recommending prescriptions to doctors, the recommendation basis of each prescription in the prescription will also be explained, thereby providing doctors with an opportunity to learn deductive thinking, which can not only promote the development of doctors' own abilities but also promote the inheritance of TCM.

[0023] The second implementation method: See also Figure 2-Figure 5, which is different from the first embodiment, the digital TCM model also includes a user-end model, which includes an information collection unit, an interactive collection unit based on natural language processing technology, an information sorting unit, and a diet planning unit; The information collection unit includes a location collection module, a climate collection module, and a weather collection module. The location collection module is used to collect the user's location information, and the climate collection module and the weather collection module are used to collect corresponding climate information and weather information according to the user's location information. The interactive collection unit is used to perform voice interaction with the user through natural language processing technology. The interactive collection unit includes a voice self-description module. The voice self-description module is used to collect the user's physical condition information based on the user's voice self-description. The user can describe his or her physical condition in the form of voice. The voice self-description module extracts features and keywords based on the user's description and organizes them to collect and obtain the user's physical condition information. The information sorting unit is used to sort the information collected by the information collecting unit and the interactive collecting unit into an information package, and send the information package to the diet planning unit; The diet planning unit is used to formulate a diet plan for the user based on the TCM knowledge in the TCM knowledge base unit and the information package organized by the information organization unit.

[0024] Through the setting of the user-side model, the digital Chinese medicine model in this application can also tailor a diet plan for the user based on Chinese medicine knowledge and the user's physical condition. When formulating a diet plan for the user, the climate and weather characteristics of the user's location will also be comprehensively considered to make the diet plan more suitable for the user, thereby improving the pertinence and effectiveness of the diet plan. This comprehensive consideration method shows the broad prospects for the application of modern technology in the field of Chinese medicine.

[0025] The interactive collection unit also includes a missing check and gap filling module and a voice question and answer module. The missing check and gap filling module is used to determine whether the user's physical condition information collected by the voice self-description module has omissions, and control the voice question and answer module to interact with the user in voice question and answer based on the judgment result, so as to further collect the missing user's physical condition information. When the user gives a self-description, he may not be able to fully and detailedly describe his physical condition. When the missing check and gap filling module determines that the user's physical condition information collected by the voice self-description module has omissions, it will control the voice interaction module to conduct further voice question and answer interaction with the user based on the missing information, and collect the missing information based on the result of the voice question and answer interaction, so that the interactive collection unit can collect the user's physical condition information more comprehensively, thereby improving the practicality and reliability of the large model.

[0026] The digital TCM model also includes a model interconnection unit, and the model interconnection unit is used to connect the doctor-side model and the user-side model. The doctor-side model also includes an intervention adjustment unit. When a user (patient) visits the doctor, the diet planning unit can send the diet plan formulated for the user to the intervention adjustment unit through the model interconnection unit, so that the doctor can reasonably adjust the diet plan according to the specific situation of the user, and send the adjusted diet plan to the diet planning unit through the model interconnection unit. Subsequently, the user can adjust the diet according to the adjusted diet plan, so that the doctor-side model and the user-side model can not only be used independently, but also can be used in combination. The doctor can make further targeted adjustments to the diet plan formulated for the user by the user-side model through the doctor-side model, thereby improving the reliability and effectiveness of the diet plan, and further improving the functionality and intelligence of the digital TCM model.

[0027] The third implementation method: See also Figure 6-Figure 8 Unlike the first implementation method, the user-side model also includes a health planning unit and a feedback adjustment unit. The information package sorted by the information sorting unit will also be sent to the health planning unit. The health planning unit is used to formulate health suggestions for users based on the traditional Chinese medicine knowledge in the traditional Chinese medicine knowledge base unit and the information package sorted by the information sorting unit. The health planning unit includes an exercise planning module and a work and rest adjustment module, which are used to formulate health suggestions for users in terms of exercise. The work and rest adjustment module is used to formulate health suggestions for users in terms of work and rest adjustment. This allows the digital traditional Chinese medicine model in this application to be able to tailor health suggestions for users based on traditional Chinese medicine knowledge, combined with the climate and weather characteristics of the user's location and the user's physical condition information.

[0028] The information collection unit also includes a solar term collection module, which is used to collect solar term information so that the diet planning unit and the health planning unit can combine the solar term information when formulating diet plans and health plans for users, and provide users with diet and health suggestions that are more in line with natural laws according to different solar terms.

[0029] The feedback adjustment unit includes an interactive feedback module and a feedback collation module. The interactive feedback module is used to collect user feedback, and the feedback collation module is used to collate user feedback and send the collated feedback to the diet planning unit and the health planning unit, so that the digital Chinese medicine model in this application also has a feedback and adjustment mechanism, which can intelligently adjust the diet plan and health suggestions based on user feedback, which not only improves the user experience, but also further enhances the personalized service capabilities of the digital Chinese medicine model. In addition, when the user (patient) visits the doctor, the health planning unit will also send the health suggestions it has formulated for the user to the intervention adjustment unit through the model interconnection unit, so that the doctor can make reasonable adjustments to the health plan according to the user's specific situation.

[0030] The fourth implementation method: See also Fig. 9 Different from the first and second implementation modes, the user-side model also includes an acupoint pressing guidance unit, which includes an acupoint display module and an acupoint pressing planning module. The acupoint pressing planning module is used to formulate an acupoint pressing plan for the user based on the traditional Chinese medicine knowledge in the traditional Chinese medicine knowledge base unit and the user's physical condition information collected by the interactive collection unit. The acupoint display module is used to display a human acupoint map to help users accurately find the corresponding acupoints.

[0031] The acupoint pressing guidance unit also includes an acupoint pressing recognition module and an acupoint pressing timing module. The acupoint pressing recognition module is used to recognize the acupoint name spoken by the user, and the acupoint pressing timing module is used to provide the user with timing instructions according to the acupoint pressing plan formulated by the acupoint pressing planning module. When the user is ready to press an acupoint according to the acupoint pressing plan, the user can start pressing the acupoint after speaking the acupoint to be pressed. The acupoint pressing recognition module will recognize the acupoint name spoken by the user, and then read the pressing time corresponding to the acupoint in the acupoint pressing plan, and control the acupoint pressing timing module to time according to the pressing time. After the timing reaches the pressing time, the acupoint pressing timing module will emit a prompt sound to remind the user to end the pressing of the acupoint, so that the digital Chinese medicine large model in this application can also be based on Chinese medicine knowledge, according to the user's physical condition information and combined with the climate and weather characteristics and solar term characteristics of the user's location, to tailor the acupoint pressing plan for the user, and the acupoint pressing guidance unit can also help the user accurately locate the acupoint and guide the user to perform correct acupoint pressing to avoid side effects due to reasons such as excessive pressing time.

[0032] In this embodiment, the feedback compiled by the feedback compilation module will also be sent to the acupoint pressing planning module, so that the acupoint pressing planning module can intelligently adjust the acupoint pressing plan based on the user's feedback. In addition, when the user (patient) visits the doctor, the acupoint pressing planning module will also send the acupoint pressing plan it has formulated for the user to the intervention adjustment unit through the model interconnection unit, so that the doctor can reasonably adjust the acupoint pressing plan according to the user's specific situation.

[0033] In view of current practical needs, the above-mentioned implementation mode adopted in this application is not limited to the scope of protection. Various changes made within the knowledge scope of technical personnel in this field without departing from the concept of this application still fall within the scope of protection of the present invention.

Claims

1. A digital TCM model based on natural language and TCM knowledge base, characterized by: It includes a TCM knowledge base unit storing TCM knowledge and a doctor-side model, wherein the doctor-side model includes a consultation record unit, a prescription recommendation unit, a prescription issuing unit, and a review and comment unit; The consultation recording unit is used to record patient information and the doctor's own thinking and differentiation of syndromes; The prescription recommendation unit is used to recommend prescriptions to doctors based on the TCM knowledge in the TCM knowledge base unit and according to patient information, and explain the recommendation basis for each prescription in the prescription; The prescription issuing unit is used to modify and issue prescriptions; The review and comment unit is used to review and comment on the prescriptions issued by the doctor based on the TCM knowledge in the TCM knowledge base unit combined with the patient information, and to display the review and comment results to the doctor; The method for using the doctor-side model includes the following steps: S1. The doctor collects patient information through observation, auscultation, olfaction, questioning and palpation, and records the patient information and his own thinking through the consultation record unit; S2, the prescription recommendation unit recommends prescriptions for doctors; S3. The doctor modifies the recommended prescription and issues a preliminary prescription through the prescription issuing unit; S4. The prescription review unit reviews and comments on the preliminary prescription issued by the doctor and shows the review and comment results to the doctor; S5. Based on the review and evaluation results, the doctor makes a second adjustment to the prescription through the prescription issuing unit and issues the final prescription.

2. The digital TCM model based on natural language and TCM knowledge base according to claim 1 is characterized in that: The specific method for reviewing and commenting on the preliminary prescription issued by the doctor in step S4 is: S41. Review and comment on the completeness of the preliminary prescription and give prompts when there are problems with the completeness of the preliminary prescription; S42. Review and comment on the safety of the initial prescription from three aspects: the inspection of the 18 anti-reactions and 19 fears of Chinese medicines, the inspection of narcotic drugs and dosage, and the inspection of contraindications to Chinese medicines and prescriptions for special symptoms and constitutions; S43. Evaluate the symptoms recorded by the doctor and the doctor's own differentiation of syndromes, and remind the doctor when the doctor's differentiation of syndromes is not completely correct, so that the doctor can strengthen the inquiry of symptoms or modify the differentiation of syndromes; S44, extracting basic elements from the preliminary prescription, determining the range of symptoms and syndromes that can be treated with the preliminary prescription based on the extracted basic elements, and comparing with the patient information recorded by the doctor to determine the rationality of the preliminary prescription; The basic elements include but are not limited to classic prescriptions and commonly used drug pairs.

3. The digital TCM model based on natural language and TCM knowledge base according to claim 1 is characterized in that: The TCM knowledge stored in the TCM knowledge base unit includes, but is not limited to, TCM classical theoretical knowledge, TCM and prescription knowledge, TCM health care knowledge, TCM diagnosis knowledge, meridian and acupoint knowledge, and food characteristics and efficacy knowledge.

4. The digital TCM model based on natural language and TCM knowledge base according to claim 3 is characterized in that: The digital TCM model also includes a user-end model, which includes an information collection unit, an interactive collection unit based on natural language processing technology, an information sorting unit, and a diet planning unit; The information collection unit includes a location collection module, a climate collection module, and a weather collection module. The location collection module is used to collect the user's location information, and the climate collection module and the weather collection module are used to collect corresponding climate information and weather information according to the user's location information. The interactive collection unit is used to perform voice interaction with the user through natural language processing technology to collect the user's physical state information. The interactive collection unit includes a voice self-description module, and the voice self-description module is used to collect the user's physical state information according to the user's voice self-description; The information collating unit is used to organize the information collected by the information collecting unit and the interactive collecting unit into an information package, and send the information package to the diet planning unit; The diet planning unit is used to formulate a diet plan for the user based on the TCM knowledge in the TCM knowledge base unit and the information package organized by the information organization unit.

5. The digital TCM model based on natural language and TCM knowledge base according to claim 4 is characterized in that: The interactive collection unit also includes a missing check and gap filling module and a voice question and answer module. The missing check and gap filling module is used to determine whether the user's physical condition information collected by the voice self-description module is missing, and control the voice question and answer module to interact with the user through voice question and answer based on the judgment result, so as to further collect the missing user's physical condition information.

6. The digital TCM model based on natural language and TCM knowledge base according to claim 5 is characterized in that: The digital Chinese medicine model also includes a model interconnection unit, which is used to connect the doctor-side model and the user-side model. The doctor-side model also includes an intervention adjustment unit. When a user visits a doctor, the diet planning unit can send the diet plan it has prepared for the user to the intervention adjustment unit through the model interconnection unit, so that the doctor can reasonably adjust the diet plan according to the specific situation of the user, and send the adjusted diet plan to the diet planning unit through the model intercommunication unit.

7. The digital TCM model based on natural language and TCM knowledge base according to claim 5 is characterized in that: The user-side model also includes a health planning unit. The information package organized by the information organization unit will also be sent to the health planning unit. The health planning unit is used to formulate health suggestions for users based on the traditional Chinese medicine knowledge in the traditional Chinese medicine knowledge base unit and the information package organized by the information organization unit. The health planning unit includes an exercise planning module and a work and rest adjustment module, which are used to formulate health suggestions for users in terms of exercise. The work and rest adjustment module is used to formulate health suggestions for users in terms of work and rest adjustment. The information collection unit also includes a solar term collection module, which is used to collect solar term information.

8. The digital TCM model based on natural language and TCM knowledge base according to claim 7 is characterized in that: The user-side model also includes a feedback adjustment unit, which includes an interactive feedback module and a feedback collation module. The interactive feedback module is used to collect user feedback, and the feedback collation module is used to collate user feedback and send the collated feedback to the diet planning unit and the health planning unit.

9. The digital TCM model based on natural language and TCM knowledge base according to claim 8 is characterized in that: The user-side model also includes an acupoint pressing guidance unit, which includes an acupoint display module and an acupoint pressing planning module. The acupoint pressing planning module is used to formulate an acupoint pressing plan for the user based on the traditional Chinese medicine knowledge in the traditional Chinese medicine knowledge base unit and the user's physical condition information collected by the interactive collection unit. The acupoint display module is used to display a human acupoint map to help users accurately find corresponding acupoints.

10. The digital TCM model based on natural language and TCM knowledge base according to claim 9 is characterized in that: The acupoint pressing guidance unit also includes an acupoint pressing recognition module and an acupoint pressing timing module. The acupoint pressing recognition module is used to recognize the acupoint name spoken by the user, and the acupoint pressing timing module is used to provide the user with timing instructions according to the acupoint pressing plan formulated by the acupoint pressing planning module.

Images