Semantic recognition system for guiding treatment information query based on LUTS symptoms

Abstract

The invention relates to the technical field of query systems, in particular to a semantic recognition system for guiding treatment information query based on LUTS symptoms. The information receiving module is used for receiving voice information, the preprocessing module is used for converting the voice information into text information based on a preset time interval, and the extraction module is used for obtaining a plurality of keywords. The matching module is used for carrying out key information retrieval on the basis of the key words, judging whether retrieval for the key information meets standards or not on the basis of retrieval results of the key information and generating corresponding processing instructions, and the control module is used for re-determining operation parameters of corresponding components on the basis of the processing instructions. The output module is used for outputting a retrieval result; and the database is used for storing a plurality of pieces of preset key information comprising a plurality of preset keywords. According to the method and the system, accurate query of guidance information and treatment information of the LUTS symptom by the semantic recognition system is effectively realized, and the operation efficiency of the semantic recognition system for information query of the LUTS symptom is effectively improved.

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 related to lower urinary tract dysfunction, mainly including storage symptoms, voiding symptoms, and post-micturition symptoms. LUTS symptoms are relatively common. Globally, the overall incidence of LUTS symptoms is very high, and with the aging of the population, its incidence is on the rise. The semantic recognition system for LUTS symptom-guided treatment information query is a system that uses natural language processing and other technologies 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, and quickly obtain lifestyle recommendations and symptom treatment information matching suggestions, which is of great significance in improving patients' self-care awareness and ability and their quality of life.

[0003] Chinese Patent Publication No.: CN118349624A, discloses a query system based on semantic recognition algorithm, including: question collection module, speech recognition module, knowledge base module, confirmation and correction module, 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 a variety of 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-and-answer system.

[0004] It can be seen that the above scheme can realize entity and intention recognition through user voice information, feedback accurate answers, optimize the existing cockpit question and answer system, and improve customer experience. However, the above scheme cannot realize the accurate query of guidance information and treatment information for LUTS symptoms by the semantic recognition system, and thus cannot guarantee the operating efficiency of the semantic recognition system for information query on LUTS symptoms. Summary of the invention

[0005] To this end, the present invention provides a semantic recognition system for querying treatment information guided by LUTS symptoms, so as 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 object, the present invention provides a semantic recognition system based on LUTS symptom-guided treatment information query, comprising:

[0007] An information receiving module, used for receiving voice information described by a user;

[0008] A preprocessing module, connected to the information receiving module, for converting the received voice information into text information based on a preset time interval;

[0009] An extraction module, connected to the preprocessing module, for obtaining a number of keywords from the text information;

[0010] A matching module, which is connected to the extraction module, and is used to retrieve key information based on the obtained keywords; the matching module is also used to determine whether the retrieval of key information meets the standard based on the retrieval result of the key information; the matching module is also used to generate a corresponding processing instruction based on the determination result, 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 standard and determining the reason for the determination that the standard is not met;

[0011] a control module, which is connected to the information receiving module, the preprocessing 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;

[0012] An output module, connected to the matching module, for outputting 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 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.

[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 factor 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 standard 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 also used to increase the preset time interval in the preprocessing module based on the voice duration of the voice information, and the increase range 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 a matching module, the present invention searches for key information based on the acquired 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, thereby effectively ensuring the accuracy of the search results and effectively realizing the precise query of the treatment information for LUTS symptoms by the semantic recognition system. The determination includes determining whether the search for key information meets the standards and determining the reasons for not meeting the standards, and generating corresponding processing instructions based on the determination results. While further realizing the precise query of the guidance information and treatment information for LUTS symptoms by the semantic recognition system, the operating efficiency of the semantic recognition system for information query on LUTS symptoms is effectively improved.

[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 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.

[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 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.

[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 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 the semantic recognition system for LUTS symptoms, and effectively improving 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 sound pickup sensitivity is increased. 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 timely and accurately completes the determination of the reason for not meeting the standards, effectively ensuring the accuracy of the generated corresponding processing instructions, while further realizing the accurate query of the semantic recognition system for guidance information and treatment information on LUTS symptoms, and effectively improving 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, thereby effectively avoiding the noise existing in the environment when receiving voice information. 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 for 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 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.

[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, increase the number of keywords, and effectively avoid 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 the semantic recognition system for LUTS symptoms, 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 It 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 only used to explain the present invention and are not used 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 protection scope of the present invention.

[0039] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0040] See also Figure 1 As shown, 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 preprocessing 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 retrieve key information based on the acquired keywords; the matching module is also used to determine whether the retrieval of key information meets the standard based on the retrieval result of the key information; the matching module is also used to generate corresponding processing instructions based on the determination result, 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 standard and determining the reason for not meeting the standard;

[0045] The control module is connected to the information receiving module, the preprocessing 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 standard;

[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, wherein the preset time interval E in this embodiment is 0.145S.

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

[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 the second preset matching ratio M2 set in the matching module, the matching module determines that the search for key information meets the standard and completes the search for key information, wherein the second preset matching ratio M2 in this embodiment is 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 = 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 for the key information does not meet the standard, and determines the reason why the retrieval for 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 also used to determine whether the search for the key information meets the standard 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 search for 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 corrects the sound pickup sensitivity of the information receiving module based on the total number of keywords, wherein the preset total number of keywords K in this embodiment is 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 also 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 difference of the keywords is greater than the second preset total difference of the keywords △N2 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 difference of the keywords △N2 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 △N2 and greater than the first preset total number of keywords difference △N1 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 △N1 in this embodiment is 3;

[0060] If the total keyword difference is less than or equal to the first preset total keyword difference △N1, 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 also used to re-convert the received voice information into the text information after the sound pickup sensitivity is increased and re-acquire a plurality of the keywords, re-retrieve key information based on the acquired keywords, and re-determine whether the retrieval of the key information meets the standard 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 search for key information meets the standard and completes the search for 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 standard according to an embodiment of the present invention. The matching module of the embodiment of the present invention is also used to determine the reason why the retrieval of the key information does not meet the standard 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 △D 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 ratio of the information receiving module based on the matching difference, wherein the preset matching difference △D 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 for the key information does not meet the standard is that the keywords obtained from the text information do not meet the standard, 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 the embodiment of the present invention is further used to increase the noise reduction ratio of the information receiving module based on the matching difference ratio, wherein the matching difference ratio is the ratio of the matching difference value to the preset matching difference value:

[0069] If the matching difference ratio is greater than the second preset matching difference ratio R2 set in the matching module, the matching module determines to increase the noise reduction ratio to 1.56 times the initial noise reduction ratio, 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 ratio to 1.41 times the initial noise reduction ratio, wherein 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 ratio to 1.23 times the initial noise reduction ratio.

[0072] Please continue reading Figure 4 As shown, the matching module of the embodiment of the present invention is also used to re-acquire several 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 standard 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 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 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 used to increase the preset time interval in the preprocessing 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 of 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 of 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 of the initial preset time interval.

[0079] Please continue reading Figure 4 As shown, the matching module in the embodiment of the present invention is further used to reacquire the plurality of keywords after the preset time interval is increased, re-retrieve key information based on each keyword, and re-determine whether the retrieval of key information meets the standard 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] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0082] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A semantic recognition system based on LUTS symptom-guided treatment information query, characterized in that: include: An information receiving module, used for receiving voice information described by a user; A preprocessing module, connected to the information receiving module, for converting the received voice information into text information based on a preset time interval; An extraction module, connected to the preprocessing module, for obtaining a number of keywords from the text information; A matching module, which is connected to the extraction module, and is used to retrieve key information based on the obtained keywords; the matching module is also used to determine whether the retrieval of key information meets the standard based on the retrieval result of the key information; the matching module is also used to generate a corresponding processing instruction based on the determination result, 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 standard and determining the reason for the determination that the standard is not met; a control module, which is connected to the information receiving module, the preprocessing 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; An output module, connected to the matching module, for outputting 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 based on LUTS symptom-guided treatment information query according to claim 1, characterized in that: 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.

3. The semantic recognition system based on LUTS symptom-guided treatment information query according to claim 2, characterized in that: 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.

4. The semantic recognition system based on LUTS symptom-guided treatment information query according to claim 3 is characterized in that: 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.

5. The semantic recognition system based on LUTS symptom-guided treatment information query according to claim 4 is characterized in that: 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 of 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 based on LUTS symptom-guided treatment information query 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 factor 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 based on LUTS symptom-guided treatment information query 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 based on LUTS symptom-guided treatment information query according to claim 7, characterized in that: The matching module is also used to re-determine whether the retrieval of the key information meets the standard based on the matching ratio after the noise reduction ratio of the information receiving module is increased, and to issue an unrecognizable audio notification when it is determined that the voice information cannot be recognized.

9. The semantic recognition system based on LUTS symptom-guided treatment information query according to claim 6, characterized in that: The matching module is further configured to increase the preset time interval in the preprocessing module based on the voice duration of the voice information, and the increase range 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 also used to re-determine whether the retrieval of key information meets the standard 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 standard when the content of the voice information does not meet the standard.

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