A semantic recognition system based on LUTS symptom-guided treatment information query

Abstract

The present invention relates to the technical field of query systems, and in particular to a semantic recognition system for querying information on guided treatment of LUTS symptoms. The present invention includes an information receiving module for receiving voice information, a preprocessing module for converting voice information into text information based on preset time intervals, an extraction module for obtaining a number of keywords, a matching module for searching for key information based on each keyword, and a module for determining whether the search for key information meets standards based on the search results and generating corresponding processing instructions, a control module for re-determining the operating parameters of corresponding components based on the processing instructions, an output module for outputting the search results, and a database for storing a number of preset key information including a number of preset keywords. The present invention effectively enables the semantic recognition system to accurately query guidance information and treatment information for LUTS symptoms, effectively improving the operational efficiency of the semantic recognition system for information queries on LUTS symptoms.

Description

Technical Field

[0001] The present invention relates to the technical field of query systems, and in particular to a semantic recognition system for querying LUTS symptom-guided treatment information. Background Art

[0002] LUTS, or lower urinary tract symptoms, are a group of symptoms associated with lower urinary tract dysfunction, primarily including storage symptoms, voiding symptoms, and post-urination symptoms. LUTS symptoms are relatively common, with a high overall incidence globally. With the aging population, the incidence is on the rise. The semantic recognition system for LUTS symptom-guided treatment information query utilizes technologies such as natural language processing to help process and understand information related to LUTS symptoms in order to provide targeted treatment guidance. The semantic recognition system for LUTS symptom-guided treatment information query can analyze and identify patients' LUTS symptoms, quickly obtaining lifestyle recommendations and symptom treatment information pairing suggestions, playing a significant role in improving patients' self-care awareness and ability, and enhancing their quality of life.

[0003] Chinese patent publication number: CN118349624A, discloses a query system based on a semantic recognition algorithm, including: a question collection module, a speech recognition module, a knowledge base module, a confirmation and correction module, and a retrieval and matching module. The question collection module is unidirectionally connected to the speech recognition module, the speech recognition module is unidirectionally connected to the knowledge base module, the knowledge base module is bidirectionally connected to the confirmation and correction module, and the knowledge base module is unidirectionally connected to the retrieval and matching module. Through multiple artificial intelligence algorithms, user voice information is converted, recognized and calibrated, and user intentions are accurately judged, thereby improving the accuracy of the automotive intelligent question-answering system.

[0004] This demonstrates that the above solution uses user voice information to identify entities and intent, providing accurate responses, optimizing the existing cockpit question-and-answer system, and enhancing the customer experience. However, the above solution cannot accurately query guidance and treatment information for LUTS symptoms using the semantic recognition system, and thus cannot guarantee the operational efficiency of the semantic recognition system for information queries related to LUTS symptoms. Summary of the Invention

[0005] To this end, the present invention provides a semantic recognition system based on LUTS symptom-guided treatment information query, which is used to overcome the problem in the prior art that the semantic recognition system cannot accurately query the guidance information and treatment information for LUTS symptoms, resulting in low operating efficiency of the semantic recognition system for information query on LUTS symptoms.

[0006] To achieve the above objectives, the present invention provides a semantic recognition system for querying LUTS symptom-guided treatment information, comprising:

[0007] An information receiving module for receiving voice information described by the user;

[0008] a pre-processing module connected to the information receiving module, configured to convert the received voice information into text information based on a preset time interval;

[0009] an extraction module, connected to the pre-processing module, for obtaining a number of keywords from the text information;

[0010] a matching module connected to the extraction module, configured to retrieve key information based on the obtained keywords; the matching module is further configured to determine whether the retrieval of the key information meets the criteria based on the retrieval results of the key information; the matching module is further configured to generate corresponding processing instructions based on the determination results, or to complete the determination of the retrieval of the key information; wherein the determination includes determining whether the retrieval of the key information meets the criteria and determining the reason for the determination that the criteria are not met;

[0011] a control module, connected to the information receiving module, the preprocessing module and the matching module respectively, for re-determining the operating parameters of the corresponding components based on the received processing instructions;

[0012] an output module connected to the matching module, configured to output the search result when it is determined that the search for the key information meets the criteria;

[0013] The database is connected to the matching module and is used to store a plurality of preset key information including a plurality of preset keywords.

[0014] Furthermore, the matching module is used to determine whether the retrieval for the key information meets the standards based on the matching ratio; the matching module is also used to determine whether the retrieval for the key information meets the standards based on the total number of keywords when it is determined that the retrieval for the key information does not meet the standards, or to determine the reason why the retrieval for the key information does not meet the standards based on the matching ratio.

[0015] Furthermore, the matching module is also used to determine whether the retrieval of the key information meets the standards based on the total number of keywords, and to correct the sound pickup sensitivity of the information receiving module based on the total number of keywords according to the determination result, or to determine the reason why the retrieval of the key information does not meet the standards based on the matching ratio.

[0016] Furthermore, the matching module is also used to increase the sound pickup sensitivity based on the difference in the total number of keywords, and the increase in the sound pickup sensitivity is proportional to the difference in the total number of keywords, wherein the difference in the total number of keywords is the difference between the preset total number of keywords and the total number of keywords.

[0017] Furthermore, the matching module is also used to re-determine whether the retrieval of the key information meets the standards based on the matching ratio after the increase in the pickup sensitivity is completed, and to complete the determination of the retrieval of the key information based on the determination result, or to determine the reason why the retrieval of the key information does not meet the standards based on the matching ratio.

[0018] Furthermore, the matching module is also used to determine the reason why the retrieval of the key information does not meet the standards based on the matching difference, and to correct the noise reduction ratio of the information receiving module based on the matching difference when it is determined that there is noise in the environment when receiving the voice information, or to correct the preset time interval of the preprocessing module based on the voice duration of the voice information when it is determined that the keywords obtained from the text information do not meet the standards, wherein the matching difference is the difference between the first preset matching ratio and the matching ratio.

[0019] Furthermore, the matching module is also used to increase the noise reduction factor of the information receiving module based on the matching difference ratio, and the increase in the noise reduction factor is proportional to the matching difference ratio, wherein the matching difference ratio is the ratio of the matching difference value to the preset matching difference value.

[0020] Furthermore, the matching module is also used to re-determine whether the retrieval of the key information meets the standards based on the matching ratio after the noise reduction ratio of the information receiving module is increased, and to issue an unrecognizable audio notification if it is determined that the voice information cannot be recognized.

[0021] Furthermore, the matching module is further configured to increase the preset time interval in the pre-processing module based on the voice duration of the voice information, and the increase of the preset time interval is proportional to the voice duration.

[0022] Furthermore, the matching module is also used to re-determine whether the retrieval of key information meets the standards based on the matching ratio after the preset time interval is increased, and to issue a notification that the voice information content does not meet the standards if the content of the voice information does not meet the standards.

[0023] Compared with the prior art, the beneficial effect of the present invention lies in that, by setting up a matching module, the present invention searches for key information based on the obtained keywords. The matching module is also used to determine whether the search for key information meets the standards based on the search results of the key information, effectively ensuring the accuracy of the search results, and effectively realizing the semantic recognition system's precise query of treatment information for LUTS symptoms. The judgment includes determining whether the retrieval of key information meets the standards and determining the reasons for the judgment not meeting the standards, and generating corresponding processing instructions based on the judgment results. While further realizing the semantic recognition system's precise query of guidance information and treatment information for LUTS symptoms, it effectively improves the operating efficiency of the semantic recognition system for information query on LUTS symptoms.

[0024] Furthermore, the matching module provided in the present invention is used to determine whether the retrieval of key information meets the standards based on the matching ratio, and timely and accurately completes the determination of whether the retrieval of key information meets the standards. While further realizing the precise query of guidance information and treatment information for LUTS symptoms by the semantic recognition system, it effectively improves the operating efficiency of the semantic recognition system for information query on LUTS symptoms.

[0025] Furthermore, the matching module provided in the present invention is also used to determine whether the retrieval of key information meets the standards based on the total number of keywords, thereby avoiding the occurrence of misjudgment. While further realizing the accurate query of guidance information and treatment information for LUTS symptoms by the semantic recognition system, it effectively improves the operating efficiency of the semantic recognition system for information query on LUTS symptoms.

[0026] Furthermore, the matching module provided in the present invention is also used to increase the sound pickup sensitivity based on the difference in the total number of keywords, effectively avoiding the occurrence of a situation where the retrieval of key information is judged to be not in compliance with the standard due to the sound pickup sensitivity not meeting the standard. While further realizing the accurate query of the guidance information and treatment information of LUTS symptoms by the semantic recognition system, it effectively improves the operating efficiency of the semantic recognition system for information query on LUTS symptoms.

[0027] Furthermore, the matching module provided in the present invention is also used to re-determine whether the retrieval of key information meets the standards based on the matching ratio after the increase in the sound pickup sensitivity is completed. It can redetermine the matching ratio after the sound pickup sensitivity is increased, and promptly complete the determination of whether the retrieval of key information meets the standards. While further realizing the accurate query of the guidance information and treatment information of LUTS symptoms by the semantic recognition system, it effectively improves the operating efficiency of the semantic recognition system for information query on LUTS symptoms.

[0028] Furthermore, the matching module provided in the present invention is also used to determine the reason why the retrieval of key information does not meet the standards based on the matching difference, and promptly and accurately completes the determination of the reason for non-compliance with the standards, effectively ensuring the accuracy of the generated corresponding processing instructions. While further realizing the precise query of the semantic recognition system for guidance information and treatment information on LUTS symptoms, it effectively improves the operating efficiency of the semantic recognition system for information query on LUTS symptoms.

[0029] Furthermore, the matching module provided in the present invention is also used to increase the noise reduction factor of the information receiving module based on the matching difference ratio, effectively avoiding the noise present in the environment when receiving voice information. While further realizing the accurate query of the semantic recognition system for guidance information and treatment information on LUTS symptoms, it effectively improves the operating efficiency of the semantic recognition system for information query on LUTS symptoms.

[0030] Furthermore, the matching module provided in the present invention is also used to re-determine whether the retrieval of key information meets the standards based on the matching ratio after the noise reduction factor of the information receiving module is increased, and to determine whether the voice information is unrecognizable. While further realizing the accurate query of the semantic recognition system for guidance information and treatment information on LUTS symptoms, it effectively improves the operating efficiency of the semantic recognition system for information query on LUTS symptoms.

[0031] Furthermore, the matching module provided in the present invention is also used to increase the preset time interval based on the voice duration of the voice information and increase the number of keywords, effectively avoiding the occurrence of a situation where the number of keywords does not meet the standard. While further realizing the accurate query of the guidance information and treatment information of the semantic recognition system for LUTS symptoms, it effectively improves the operating efficiency of the semantic recognition system for information query on LUTS symptoms.

[0032] Furthermore, the matching module provided in the present invention is also used to re-determine whether the retrieval of key information meets the standards based on the matching ratio after the preset time interval is increased, and determine whether the content of the voice information meets the standards. While further realizing the accurate query of the guidance information and treatment information of LUTS symptoms by the semantic recognition system, it effectively improves the operating efficiency of the semantic recognition system for information query on LUTS symptoms. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 This is a structural block diagram of a semantic recognition system for querying LUTS symptom-guided treatment information according to an embodiment of the present invention;

[0034] Figure 2 This is a workflow diagram of a semantic recognition system for querying LUTS symptom-guided treatment information according to an embodiment of the present invention;

[0035] Figure 3 A flowchart of an embodiment of the present invention for determining whether a search for key information meets a standard and determining whether the total number of keywords meets a standard;

[0036] Figure 4 This is a flow chart of an embodiment of the present invention for determining the reason why the retrieval of key information does not meet the standards. DETAILED DESCRIPTION

[0037] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are merely used to explain the present invention and are not intended to limit the present invention.

[0038] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0039] Furthermore, it should be noted that, in the description of the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0040] See also Figure 1 As shown in FIG, it is a structural block diagram of a semantic recognition system based on LUTS symptom-guided treatment information query according to an embodiment of the present invention. The semantic recognition system based on LUTS symptom-guided treatment information query according to an embodiment of the present invention comprises an information receiving module, a preprocessing module, an extraction module, a matching module, a control module, an output module and a database; wherein,

[0041] The information receiving module is used to receive the voice information described by the user;

[0042] The pre-processing module is connected to the information receiving module and is used to convert the received voice information into text information based on a preset time interval;

[0043] The extraction module is connected to the pre-processing module and is used to obtain a number of keywords from the text information;

[0044] The matching module is connected to the extraction module and is used to search for key information based on the obtained keywords; the matching module is also used to determine whether the search for key information meets the criteria based on the search results of the key information; the matching module is also used to generate corresponding processing instructions based on the determination results, or to complete the determination of the search for the key information; wherein the determination includes determining whether the search for the key information meets the criteria and determining the reason for not meeting the criteria;

[0045] The control module is connected to the information receiving module, the pre-processing module and the matching module respectively, and is used to re-determine the operating parameters of the corresponding components based on the received processing instructions;

[0046] The output module is connected to the matching module and is used to output the search result when it is determined that the search of the key information meets the criteria;

[0047] The database is connected to the matching module and is used to store a plurality of preset key information including a plurality of preset keywords;

[0048] Specifically, when the extraction module obtains each of the keywords from the text information, the text group that can be combined into words in the text information is recorded as a keyword, and the preprocessing module combines the words in the voice information whose time interval is less than the preset time interval E, and separates the combined words from the text whose time interval is greater than or equal to the preset time interval E, where the preset time interval E in this embodiment is 0.145S.

[0049] See also Figure 2 As shown, it is a workflow diagram of a semantic recognition system for querying LUTS symptom-guided treatment information according to an embodiment of the present invention. When the semantic recognition system for querying LUTS symptom-guided treatment information according to an embodiment of the present invention is in operation, the information receiving module receives the voice information described by the user, the preprocessing module converts the received voice information into text information based on the preset time interval, the extraction module obtains a number of keywords from the text information, the matching module searches the database for key information based on the obtained keywords, and the matching module determines whether the search for key information meets the criteria based on the search results. The determination includes determining whether the search for key information meets the criteria and determining the reason for not meeting the criteria. The matching module generates the corresponding processing instructions based on the determination results or completes the search for key information. The control module re-determines the operating parameters of the corresponding component based on the received processing instructions. The output module outputs the search results if it is determined that the search for key information meets the criteria.

[0050] See also Figure 3As shown, it is a flow chart of determining whether the search for key information meets the standard and whether the total number of keywords meets the standard according to an embodiment of the present invention. The matching module of the embodiment of the present invention is used to determine whether the search for the key information meets the standard based on the matching ratio, wherein the matching ratio is the ratio of the number of matching keywords to the total number of keywords, the matching keyword is the preset keyword retrieved based on the keyword, the preset key information including the matching keyword is the search result of the key information, the number of matching keywords is the number of matching keywords, and the total number of keywords is the total number of keywords obtained:

[0051] If the matching ratio is greater than a second preset matching ratio M2 set in the matching module, the matching module determines that the search for the key information meets the criteria and completes the search for the key information. In this embodiment, the second preset matching ratio M2 = 87.5%;

[0052] If the matching ratio is less than or equal to the second preset matching ratio M2 and greater than the first preset matching ratio M1 set in the matching module, the matching module determines that the search for the key information does not meet the standard, and determines whether the search for the key information meets the standard based on the total number of keywords, wherein the first preset matching ratio M1 in this embodiment is 66.7%;

[0053] If the matching ratio is less than or equal to the first preset matching ratio M1, the matching module determines that the retrieval of the key information does not meet the standard, and determines the reason why the retrieval of the key information does not meet the standard based on the matching ratio.

[0054] Please continue reading Figure 3 As shown, the matching module of the present invention is further used to determine whether the search for the key information meets the criteria based on the total number of keywords:

[0055] If the total number of keywords is less than the preset total number of keywords K, the matching module determines that the retrieval of the key information does not meet the standard because the volume of the voice information received by the information receiving module does not meet the standard, and adjusts the sound pickup sensitivity of the information receiving module based on the total number of keywords. In this embodiment, the preset total number of keywords K=8;

[0056] If the total number of keywords is greater than or equal to the preset total number of keywords K, the matching module determines that the search for the key information does not meet the standard, and determines the reason why the search for the key information does not meet the standard based on the matching ratio.

[0057] Please continue reading Figure 3As shown, the matching module of the present invention is further used to increase the sound pickup sensitivity based on the difference in the total number of keywords, wherein the difference in the total number of keywords is the difference between the preset total number of keywords and the total number of keywords:

[0058] If the total keyword difference is greater than a second preset total keyword difference ΔN2 set in the matching module, the matching module determines to increase the sound pickup sensitivity to 0.911 times the initial sound pickup sensitivity, wherein the second preset total keyword difference ΔN2 in this embodiment is 5;

[0059] If the total number of keywords difference is less than or equal to the second preset total number of keywords difference ΔN2 and greater than the first preset total number of keywords difference ΔN1 set in the matching module, the matching module determines to increase the sound pickup sensitivity to 0.948 times the initial sound pickup sensitivity, wherein the first preset total number of keywords difference ΔN1 in this embodiment is 3;

[0060] If the total keyword difference is less than or equal to the first preset total keyword difference ΔN1, the matching module determines to increase the sound pickup sensitivity to 0.973 times the initial sound pickup sensitivity;

[0061] Specifically, the initial sound pickup sensitivity is -42dBV / Pa.

[0062] Please continue reading Figure 3 As shown, the matching module of the present invention is further configured to re-convert the received voice information into the text information after the pickup sensitivity is increased and re-acquire a plurality of the keywords, re-search for key information based on the acquired keywords, and re-determine whether the retrieval of the key information meets the criteria based on the matching ratio, wherein:

[0063] If the matching ratio is greater than a second preset matching ratio M2 set in the matching module, the matching module determines that the retrieval of the key information meets the criteria and completes the retrieval of the key information;

[0064] If the matching ratio is less than or equal to the second preset matching ratio M2, the matching module determines that the retrieval of the key information does not meet the standard, and determines the reason why the retrieval of the key information does not meet the standard based on the matching ratio.

[0065] See also Figure 4 As shown, it is a flow chart of determining the reason why the retrieval of key information does not meet the standards according to an embodiment of the present invention. The matching module of the embodiment of the present invention is further used to determine the reason why the retrieval of the key information does not meet the standards based on the matching difference, wherein the matching difference is the difference between the first preset matching ratio and the matching ratio:

[0066] If the matching difference is less than or equal to a preset matching difference ΔD set in the matching module, the matching module determines that the reason why the retrieval of the key information does not meet the standard is that there is noise in the environment when receiving the voice information, and corrects the noise reduction magnification of the information receiving module based on the matching difference, wherein the preset matching difference ΔD in this embodiment is 23.8%;

[0067] If the matching difference is greater than the preset matching difference ΔD, the matching module determines that the reason why the retrieval of the key information does not meet the criteria is that the keywords obtained from the text information do not meet the criteria, and corrects the preset time interval in the preprocessing module based on the voice duration of the voice information corresponding to the text information.

[0068] Please continue reading Figure 4 As shown, the matching module in this embodiment of the present invention is further configured to increase the noise reduction factor of the information receiving module based on the matching difference ratio, wherein the matching difference ratio is a ratio of the matching difference value to the preset matching difference value:

[0069] If the matching difference ratio is greater than a second preset matching difference ratio R2 set in the matching module, the matching module determines to increase the noise reduction magnification to 1.56 times the initial noise reduction magnification, wherein the second preset matching difference ratio R2 in this embodiment is 65.5%;

[0070] If the matching difference ratio is less than or equal to the second preset matching difference ratio R2 and greater than the first preset matching difference ratio R1 set in the matching module, the matching module determines to increase the noise reduction magnification to 1.41 times the initial noise reduction magnification, where the first preset matching difference ratio R1 in this embodiment is 37.8%;

[0071] If the matching difference ratio is less than or equal to the first preset matching difference ratio R1, the matching module determines to increase the noise reduction magnification to 1.23 times the initial noise reduction magnification.

[0072] Please continue reading Figure 4 As shown, the matching module in the embodiment of the present invention is further configured to reacquire a plurality of keywords from the text information of the received voice information after the noise reduction ratio of the information receiving module is increased, re-retrieve key information based on each keyword, and re-determine whether the retrieval of the key information meets the criteria based on the matching ratio, wherein:

[0073] If the matching ratio is less than or equal to the first preset matching ratio M1, the matching module determines that the retrieval of the key information does not meet the standard, and determines the reason why the retrieval of the key information does not meet the standard based on the matching difference;

[0074] If the matching difference is less than or equal to a preset matching difference ΔD set in the matching module, the matching module determines that the reason why the retrieval of the key information does not meet the standard is that the voice information cannot be recognized, and issues an unrecognizable audio notification.

[0075] Please continue reading Figure 4 As shown, the matching module in the embodiment of the present invention is further configured to increase the preset time interval in the pre-processing module based on the voice duration of the voice information:

[0076] If the voice duration is greater than the second preset voice duration A2 set in the matching module, the matching module determines to increase the preset time interval to 1.092 times the initial preset time interval, wherein the second preset voice duration A2 in this embodiment is 26S;

[0077] If the voice duration is less than or equal to the second preset voice duration A2 and greater than the first preset voice duration A1 set in the matching module, the matching module determines to increase the preset time interval to 1.068 times the initial preset time interval, wherein the first preset voice duration A1 in this embodiment is 15S;

[0078] If the voice duration is less than or equal to the first preset voice duration A1, the matching module determines to increase the preset time interval to 1.033 times the initial preset time interval.

[0079] Please continue reading Figure 4 As shown, the matching module of the embodiment of the present invention is further configured to reacquire the plurality of keywords after the preset time interval is increased, re-search the key information based on each keyword, and re-determine whether the search for the key information meets the criteria based on the matching ratio, wherein:

[0080] If the matching ratio is less than or equal to the first preset matching ratio M1, the matching module determines that the reason why the retrieval of key information does not meet the standard is that the content of the voice information does not meet the standard, and issues a notification that the voice information content does not meet the standard.

[0081] Thus far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

[0082] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that the present invention is susceptible to various modifications and variations. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention are intended to be within the scope of protection of the present invention.

Claims

1. A semantic recognition system for querying LUTS symptom-guided treatment information, characterized by: include: An information receiving module for receiving voice information described by the user; a pre-processing module connected to the information receiving module, configured to convert the received voice information into text information based on a preset time interval; an extraction module, connected to the pre-processing module, for obtaining a number of keywords from the text information; a matching module connected to the extraction module, configured to retrieve key information based on the obtained keywords; the matching module is further configured to determine whether the retrieval of the key information meets the criteria based on the retrieval results of the key information; the matching module is further configured to generate corresponding processing instructions based on the determination results, or to complete the determination of the retrieval of the key information; wherein the determination includes determining whether the retrieval of the key information meets the criteria and determining the reason for the determination that the criteria are not met; a control module, connected to the information receiving module, the preprocessing module and the matching module respectively, for re-determining the operating parameters of the corresponding components based on the received processing instructions; an output module connected to the matching module, configured to output the search result when it is determined that the search for the key information meets the criteria; The database is connected to the matching module and is used to store a plurality of preset key information including a plurality of preset keywords.

2. The semantic recognition system for querying LUTS symptom-guided treatment information according to claim 1, characterized in that: The matching module is used to determine whether the retrieval of the key information meets the standards based on the matching ratio; the matching module is also used to determine whether the retrieval of the key information meets the standards based on the total number of keywords when it is determined that the retrieval of the key information does not meet the standards, or to determine the reason why the retrieval of the key information does not meet the standards based on the matching ratio.

3. The semantic recognition system for querying LUTS symptom-guided treatment information according to claim 2, characterized in that: The matching module is further configured to determine whether the retrieval of the key information meets the standards based on the total number of keywords, and to modify the sound pickup sensitivity of the information receiving module based on the total number of keywords according to the determination result, or to determine the reason why the retrieval of the key information does not meet the standards based on the matching ratio.

4. The semantic recognition system for querying LUTS symptom-guided treatment information according to claim 3, characterized in that: The matching module is further configured to increase the sound pickup sensitivity based on the difference in the total number of keywords, and the increase in the sound pickup sensitivity is proportional to the difference in the total number of keywords, wherein the difference in the total number of keywords is the difference between the preset total number of keywords and the total number of keywords.

5. The semantic recognition system for querying LUTS symptom-guided treatment information according to claim 4, characterized in that: The matching module is further configured to re-determine whether the retrieval of the key information meets the standards based on the matching ratio after the increase in the sound pickup sensitivity is completed, and to complete the determination of the retrieval of the key information according to the determination result, or to determine the reason why the retrieval of the key information does not meet the standards based on the matching ratio.

6. The semantic recognition system for querying LUTS symptom-guided treatment information according to claim 5, characterized in that: The matching module is also used to determine the reason why the retrieval of the key information does not meet the standards based on the matching difference, and to correct the noise reduction ratio of the information receiving module based on the matching difference when it is determined that there is noise in the environment when receiving the voice information, or to correct the preset time interval of the preprocessing module based on the voice duration of the voice information when it is determined that the keywords obtained from the text information do not meet the standards, wherein the matching difference is the difference between the first preset matching ratio and the matching ratio.

7. The semantic recognition system for querying LUTS symptom-guided treatment information according to claim 6, characterized in that: The matching module is further configured to increase the noise reduction factor of the information receiving module based on the matching difference ratio, and the increase in the noise reduction factor is proportional to the matching difference ratio, wherein the matching difference ratio is the ratio of the matching difference value to the preset matching difference value.

8. The semantic recognition system for querying LUTS symptom-guided treatment information according to claim 7, characterized in that: The matching module is further configured to re-determine whether the retrieval of the key information meets the criteria based on the matching ratio after the noise reduction ratio of the information receiving module is increased, and to issue an unrecognizable audio notification if it is determined that the voice information cannot be recognized.

9. The semantic recognition system for querying LUTS symptom-guided treatment information according to claim 6, characterized in that: The matching module is further configured to increase the preset time interval in the pre-processing module based on the voice duration of the voice information, and the increase of the preset time interval is proportional to the voice duration.

10. The semantic recognition system based on LUTS symptom-guided treatment information query according to claim 9, characterized in that: The matching module is further configured to re-determine whether the retrieval of key information meets the standards based on the matching ratio after the preset time interval is increased, and to issue a notification indicating that the voice information content does not meet the standards if the content of the voice information does not meet the standards.

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