CN115002397A - Remote auditing and consultation system based on medical images - Google Patents
Remote auditing and consultation system based on medical images Download PDFInfo
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- CN115002397A CN115002397A CN202210636858.1A CN202210636858A CN115002397A CN 115002397 A CN115002397 A CN 115002397A CN 202210636858 A CN202210636858 A CN 202210636858A CN 115002397 A CN115002397 A CN 115002397A
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Abstract
The invention discloses a remote auditing and consultation system based on medical images, belongs to the field of medical treatment, is used for solving the problem that the network of remote consultation cannot ensure the fluency, the invention also discloses a multi-party remote consultation result checking method, which comprises a diagnosis and arrangement module, a communication switching module and an environment analysis module, wherein the environment analysis module is used for carrying out environment analysis on a network used for remote audit consultation to generate a communication switching signal or a communication normal signal, the communication switching module is used for carrying out intelligent switching on the network connected with the remote audit consultation to obtain a network switching table, and the diagnosis and arrangement module is used for arranging remote audit consultation results to obtain a consultation result set which is fed back to a server.
Description
Technical Field
The invention belongs to the field of medical treatment, relates to a remote auditing and consultation technology, and particularly relates to a remote auditing and consultation system based on medical images.
Background
The remote consultation utilizes modern communication tools such as e-mail, website, letter, telephone, fax and the like to complete medical record analysis and disease condition diagnosis for patients and further determine the treatment mode of the treatment scheme, is a novel diagnosis mode which is extremely convenient and reliable in diagnosis, is closely matched with mail order, provides a solid foundation and favorable conditions for regional expansion and service internationalization of medical treatment, and also provides new criteria and tools for standardizing medical market, evaluating medical quality standard, perfecting medical service system and exchanging medical service experience;
however, in the prior art, smoothness of the network needs to be guaranteed during remote consultation, and once a problem occurs in the network, data transmission is deviated, so that not only the remote consultation progress is influenced, but also the remote consultation result is influenced; when a plurality of remote consultation results are generated in the process of multi-party remote consultation, a large amount of time is spent on checking the plurality of consultation results one by one, and the determination of the remote consultation results and the treatment of a patient are delayed;
to this end, we propose a remote review and consultation system based on medical images.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a remote auditing and consultation system based on medical images.
The technical problem to be solved by the invention is as follows:
(1) how to effectively ensure the fluency of all networks of remote auditing and consultation and realize the intelligent switching of the networks;
(2) how to collate several remote consultation results in order to view and determine the consultation results.
The purpose of the invention can be realized by the following technical scheme:
the remote auditing and consultation system based on the medical images comprises a user terminal, an identity verification module, a diagnosis arrangement module, a communication switching module, an environment analysis module, a data acquisition module and a server;
before remote auditing and consultation are carried out, the data acquisition module is used for acquiring environment data of a network used for the remote auditing and consultation and network data of a network which can be connected with the remote auditing and consultation and sending the environment data to the server, and the server sends the environment data to the environment analysis module and sends the network data to the communication switching module; the environment analysis module is used for carrying out environment analysis on a network used for remote auditing and consultation, generating a communication switching signal or a communication normal signal and feeding the communication switching signal or the communication normal signal back to the server, if the server receives the communication normal signal, no operation is carried out, if the server receives the communication switching signal, a communication switching instruction is generated and loaded to the communication switching module, the communication switching module is used for carrying out intelligent switching on the network connected with the remote auditing and consultation, a network switching table is obtained and fed back to the server, and the server completes intelligent switching of the remote auditing and consultation network according to the network switching table;
after a plurality of medical workers log in the successful system, the user terminal is used for inputting remote consultation results by different medical workers and sending the remote consultation results to the server in combination with medical images, the server sends the remote consultation results to the diagnosis and arrangement module, the diagnosis and arrangement module is used for arranging the remote examination and consultation results to obtain a consultation result set which is fed back to the server, the server sends the different consultation result sets to the user terminal, and the medical workers at the user terminal check different remote consultation results through the consultation result set.
Further, the environment data comprises a network speed uploading value, a network speed downloading value, a buffering time and a blocking time of a network used for remote auditing and consultation;
the network data comprises the current connection number, the network speed uploading value, the network speed downloading value, the buffering time and the blocking times.
Further, the working process of the environment analysis module is specifically as follows:
the method comprises the following steps: obtaining the buffering time length when the remote audit consultation is connected with the network, and marking the buffering time length as HT;
step two: comparing the buffer duration with a buffer duration threshold;
if the buffering duration is less than or equal to the buffering duration threshold, entering the next step;
if the buffering duration is greater than the buffering duration threshold, generating a communication switching signal;
step three: after the remote audit consultation is successfully connected with the network, setting a network environment monitoring time period;
step four: acquiring the number of times of blocking of a network connected with a remote auditing consultation station in a network environment monitoring period, and marking the number of times of blocking as KC;
step five: setting a plurality of time points in a network environment monitoring time period, and acquiring a network uploading value and a network downloading value of a network connected with a remote audit consultation at the plurality of time points;
step six: adding the network uploading values and the network downloading values at all time points, and averaging to obtain a network downloading average value and a network uploading average value of the network connected with the remote auditing consultation in the network environment monitoring period;
step seven: setting the network downloading average value and the network uploading average value as a network uploading stable value and a network downloading stable value of a network connected with the remote audit consultation;
step eight: calculating the difference between the network uploading value and the network uploading stable value at each time point in sequence and taking the absolute value to obtain the network uploading difference, and the difference between the network uploading value and the network uploading stable value at each time point in sequence and taking the absolute value to obtain the difference between the network downloading value and the network downloading stable value to obtain the network downloading difference;
step nine: if the network uploading difference value exceeds a network uploading fluctuation threshold value, recording the corresponding time point as a network abnormal time point;
if the network uploading difference value does not exceed the network uploading fluctuation threshold value, recording the corresponding time point as a network normal time point;
if the network download difference value exceeds the network download fluctuation threshold value, recording the corresponding time point as a network abnormal time point;
if the network download difference value does not exceed the network download fluctuation threshold value, recording the corresponding time point as a network normal time point;
step ten: counting the number of the network abnormal time points, and marking the number of the network abnormal time points as network abnormal point numbers YD;
step eleven: calculating to obtain a network abnormal value of a network connected with the remote auditing consultation station through a formula YC-HT × a1+ KC × a2+ YD × a 3; in the formula, a1, a2 and a3 are all weight coefficients with fixed values, and the values of a1, a2 and a3 are all larger than zero;
step twelve: and if the abnormal value is larger than the abnormal threshold value, generating a communication switching signal, otherwise, generating a communication normal signal.
Further, the intelligent switching process of the communication switching module is as follows:
step S1: marking the connectable network of the remote audit consultation as i, i is 1, 2, … …, z is a positive integer;
step S2: acquiring the current connection number of the network, and marking the current connection number as LJi;
step S3: meanwhile, the number of the network abnormal time points of each obtained network is calculated according to the above, and the number of the network abnormal time points is marked as network abnormal point number YDi;
step S4: obtaining KCi the buffering duration HTi and the number of times of blocking of the network;
step S5: calculating to obtain a fluency value LCi of the connectable network of the remote audit consultation through a formula LCi as e/(LJi + YDi + HTi + KCi); in the formula, e is a natural constant;
step S6: and (4) arranging and generating the network switching table according to the numerical value of the fluency value in a descending order.
Further, the diagnosis collating module is used for collating the remote examination and consultation results, and the collating process specifically comprises the following steps:
step SS 1: acquiring a remote consultation result of a user terminal corresponding to a medical worker;
step SS 2: obtaining a diagnosis key phrase from a remote consultation result corresponding to the user terminal by utilizing a Chinese word segmentation technology and a key word extraction technology;
it should be noted that, the Chinese word segmentation technology and the keyword extraction technology are adopted to keep the keyword groups consistent in word number;
step SS 3: acquiring a painting brush of each character in the diagnosis key phrase, and forming a comparison code of the diagnosis key phrase according to the character sequence;
step SS 4: comparing the comparison codes of all the diagnosis key word groups, and gathering the diagnosis key word groups with the same comparison codes to form a consultation result set.
Further, when the remote auditing and consultation are carried out, the data acquisition module is used for acquiring a real-time face image of the medical staff and sending the real-time face image to the server, the server sends the real-time face image to the identity verification module, and the identity verification module is used for verifying the identity of the medical staff, generating a verification passing signal or a verification failure signal and feeding the verification passing signal or the verification failure signal back to the server;
if the server receives the verification passing signal, a verification passing instruction is generated and loaded to the user terminal, medical staff at the user terminal can successfully log in the system, if the server receives the verification failing signal, a verification failing instruction is generated and loaded to the user terminal, and the medical staff at the user terminal needs to log in the system again.
Further, the authentication process of the identity authentication module is specifically as follows:
acquiring a registered face image of a medical worker, and respectively acquiring face features of the registered face image and a real-time face image;
and comparing the facial features of the registered facial image with the facial features of the real-time facial image one by one, and generating a verification passing signal if the comparison is passed, otherwise generating a verification failure signal.
Further, facial features include angular mouth width, interaural spacing, external canthus spacing, and nasal bridge length.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention carries out environment analysis on the network used for remote audit consultation through the environment analysis module, analyzes and generates a communication switching signal or a communication normal signal, and combines the communication switching module to carry out intelligent switching on the network connected with the remote audit consultation, and realizes intelligent switching on the network used for remote audit consultation according to the network switching table, thereby effectively ensuring the fluency of all networks for remote audit consultation and realizing intelligent switching when the network is in failure;
2. the invention arranges the remote examination and consultation results through the diagnosis arrangement module, obtains diagnosis key word groups from the remote consultation results by combining the Chinese word segmentation technology and the keyword extraction technology, combines different consultation result sets through comparison codes of the diagnosis key word groups, and checks different remote consultation results through the consultation result sets by medical staff.
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In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is an overall system block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the remote auditing and consultation system based on medical images includes a user terminal, an identity verification module, a diagnosis and treatment module, a communication switching module, an environment analysis module, a data acquisition module and a server;
the user terminal is used for registering the login system after the medical staff inputs personal information and sending the personal information to the server;
the personal information comprises the name of the medical staff, a registered face image, a mobile phone number of real-name authentication and the like;
before remote auditing and consultation are carried out, the data acquisition module is used for acquiring environment data of a network used for the remote auditing and consultation and network data of a network which can be connected with the remote auditing and consultation, and sending the environment data and the network data to the server, the server sends the environment data to the environment analysis module, and the server sends the network data to the communication switching module;
specifically, the environmental data includes a network speed upload value, a network speed download value, a buffering duration, a blocking number and the like of a network used for remote auditing and consultation; the network data comprises the current connection number, a network speed uploading value, a network speed downloading value, a buffering time length, a blocking time number and the like;
the environment analysis module is used for carrying out environment analysis on the network used for remote auditing and consultation, and the working process is as follows:
the method comprises the following steps: obtaining the buffering time length when the remote audit consultation is connected with the network, and marking the buffering time length as HT;
step two: comparing the buffer duration with a buffer duration threshold;
if the buffering duration is less than or equal to the buffering duration threshold, entering the next step;
if the buffering duration is greater than the buffering duration threshold, generating a communication switching signal;
step three: after the remote audit consultation is successfully connected with the network, setting a network environment monitoring time period;
step four: acquiring the card pause times of a network connected with a remote auditing and consultation station in a network environment monitoring period, and marking the card pause times as KC;
step five: setting a plurality of time points in a network environment monitoring time period, and acquiring a network uploading value and a network downloading value of a network connected with a remote audit consultation at the plurality of time points;
step six: adding the network uploading values and the network downloading values at all time points, and averaging to obtain a network downloading average value and a network uploading average value of the network connected with the remote auditing consultation in the network environment monitoring period;
step seven: setting the network downloading average value and the network uploading average value as a network uploading stable value and a network downloading stable value of a network connected with the remote audit consultation;
step eight: calculating the difference value between the network uploading value and the network uploading stable value at each time point in sequence and taking the absolute value to obtain the network uploading difference value, and the difference value between the network uploading value and the network uploading stable value at each time point and taking the absolute value to obtain the difference value between the network downloading value and the network downloading stable value to obtain the network downloading difference value;
step nine: if the network uploading difference value exceeds a network uploading fluctuation threshold value, recording the corresponding time point as a network abnormal time point;
if the network uploading difference value does not exceed the network uploading fluctuation threshold value, recording the corresponding time point as a network normal time point;
if the network download difference value exceeds the network download fluctuation threshold value, recording the corresponding time point as a network abnormal time point;
if the network download difference value does not exceed the network download fluctuation threshold value, recording the corresponding time point as a network normal time point;
step ten: counting the number of the abnormal time points of the network, and marking the number of the abnormal time points of the network as the number YD of the abnormal points of the network;
step eleven: calculating to obtain a network abnormal value of a network connected with the remote auditing consultation station through a formula YC-HT × a1+ KC × a2+ YD × a 3; in the formula, a1, a2 and a3 are all weight coefficients with fixed values, and the values of a1, a2 and a3 are all larger than zero;
step twelve: if the abnormal value is larger than the abnormal threshold value, generating a communication switching signal, otherwise, generating a communication normal signal;
the environment analysis module feeds back the communication switching signal or the communication normal signal to the server, if the server receives the communication normal signal, no operation is carried out, and if the server receives the communication switching signal, a communication switching instruction is generated and loaded to the communication switching module;
the communication switching module is used for intelligently switching the network connected with the remote auditing and consultation station, and the intelligent switching process is as follows:
step S1: marking the connectable network of the remote audit consultation as i, i is 1, 2, … …, z is a positive integer;
step S2: acquiring the current connection number of the network, and marking the current connection number as LJi;
step S3: meanwhile, the number of the network abnormal time points of each obtained network is calculated according to the above, and the number of the network abnormal time points is marked as network abnormal point number YDi;
step S4: obtaining KCi the buffering duration HTi and the number of times of blocking of the network;
step S5: calculating to obtain a fluency value LCi of the connectable network of the remote audit consultation through a formula LCi ═ e/(LJi + YDi + HTi + KCi); in the formula, e is a natural constant;
step S6: arranging and generating a network switching table according to the numerical value of the fluency value in a descending order;
the communication switching module feeds back the network switching table to the server, and the server completes intelligent switching of the remote auditing and consultation network according to the network switching table;
when the remote auditing and consultation are carried out, the data acquisition module is used for acquiring a real-time face image of the medical staff and sending the real-time face image to the server, and the server sends the real-time face image to the identity verification module;
in specific implementation, the data acquisition module is specifically a high-definition camera and can also be related equipment for shooting face images;
the identity authentication module is used for authenticating the identity of the medical staff, and the authentication process specifically comprises the following steps:
acquiring registered face images of medical personnel, and respectively acquiring facial features of the registered face images and the real-time face images; the facial features comprise mouth corner width, external spacing between two ears, external canthus spacing, nose bridge length and the like;
comparing the facial features of the registered facial image with the facial features of the real-time facial image one by one, and generating a verification passing signal if the comparison is passed, otherwise generating a verification failure signal;
the identity authentication module feeds back an authentication passing signal or an authentication failure signal to the server, if the server receives the authentication passing signal, an authentication passing instruction is generated and loaded to the user terminal, medical staff at the user terminal can successfully log in the system, if the server receives the authentication failure signal, an authentication failure instruction is generated and loaded to the user terminal, and the medical staff at the user terminal needs to log in the system again;
after a plurality of medical workers log in the successful system, the user terminal is used for inputting remote consultation results by different medical workers by combining medical images, the remote consultation results are sent to the server, and the server sends the remote consultation results to the diagnosis and treatment module;
the diagnosis arrangement module is used for arranging the remote examination and consultation results, and the arrangement process is as follows:
step SS 1: acquiring a remote consultation result of a user terminal corresponding to a medical worker;
step SS 2: obtaining a diagnosis key phrase from a remote consultation result corresponding to a user terminal by utilizing a Chinese word segmentation technology and a key word extraction technology;
it should be noted that, the Chinese word segmentation technology and the keyword extraction technology are adopted to keep the keyword groups consistent in word number;
step SS 3: acquiring a painting brush of each character in the diagnosis key phrase, and forming a comparison code of the diagnosis key phrase according to the character sequence;
step SS 4: comparing the comparison codes of all the diagnosis key word groups, and gathering the diagnosis key word groups with the same comparison codes to form a consultation result set;
the diagnosis and treatment module feeds the consultation result set back to the server, the server sends different consultation result sets to the user terminal, and medical staff at the user terminal check different remote consultation results through the consultation result set.
When the remote auditing and consultation system based on medical images works, before remote auditing and consultation are carried out, the data acquisition module acquires environment data of a network used for remote auditing and consultation and network data of a network which can be connected with the remote auditing and consultation, and transmits the environment data and the network data to the server, the server transmits the environment data to the environment analysis module, and the server transmits the network data to the communication switching module;
performing environment analysis on a network used for remote audit consultation through an environment analysis module to obtain buffering time length HT when the remote audit consultation is connected with the network, comparing the buffering time length with a buffering time length threshold value, if the buffering time length is greater than the buffering time length threshold value, generating a communication switching signal, if the buffering time length is less than or equal to the buffering time length threshold value, setting a network environment monitoring time period after the remote audit consultation is successfully connected with the network, obtaining the times of blocking KC of the network connected with the remote audit consultation in the network environment monitoring time period, setting a plurality of time points in the network environment monitoring time period, obtaining network upload values and network download values of the network connected with the remote audit consultation at a plurality of time points, adding the network upload values and the network download values at all the time points, summing and averaging to obtain a network download average value and a network upload value of the network connected with the remote audit consultation in the network environment monitoring time period, setting the network downloading average value and the network uploading average value as a network uploading stable value and a network downloading stable value of a network connected with the remote auditing consultation, calculating the difference value between the network uploading value and the network uploading stable value at each time point in sequence and taking an absolute value to obtain a network uploading difference value, and taking the difference value between the network uploading value and the network uploading stable value at each time point and taking an absolute value to obtain a difference value between the network downloading value and the network downloading stable value to obtain a network downloading difference value, if the network uploading difference value exceeds a network uploading fluctuation threshold value, marking the corresponding time point as a network abnormal time point, if the network uploading difference value does not exceed a network uploading fluctuation threshold value, marking the corresponding time point as a network normal time point, if the network downloading difference value exceeds the network downloading fluctuation threshold value, marking the corresponding time point as a network abnormal time point, if the network downloading difference value does not exceed the network downloading fluctuation threshold value, recording the corresponding time point as a network normal time point, counting the number of the network abnormal time points, marking the number of the network abnormal time points as network abnormal point numbers YD, calculating to obtain a network abnormal value of a network connected with the remote auditing consultation through a formula YC (HT × a1+ KC × a2+ YD × a 3), generating a communication switching signal if the abnormal value is greater than an abnormal threshold value, otherwise generating a communication normal signal, feeding the communication switching signal or the communication normal signal back to the server by the environment analysis module, not performing any operation if the server receives the communication normal signal, and generating a communication switching instruction to load to the communication switching module if the server receives the communication switching signal;
the method comprises the steps that a communication switching module is used for intelligently switching networks connected with a remote auditing and consultation station, the connectable networks of the remote auditing and consultation station are marked as i, the current connection number of the networks is obtained LJi, meanwhile, the number of network abnormal time points of each obtained network is calculated according to the above, the number of the network abnormal time points is marked as YDi, finally, the buffering duration HTi and the number of times of blocking KCi of the networks are obtained, the fluent value LCi of the connectable networks of the remote auditing and consultation station is obtained through calculation according to the formula LCi/(LJi + YDi + HTi + KCi), a network switching table is generated according to the numerical value descending order of the fluent value, the communication switching module feeds the network switching table back to a server, and the server completes the intelligent switching of the remote auditing and consultation network according to the network switching table;
when a remote auditing consultation is carried out, the data acquisition module acquires a real-time face image of a medical worker and transmits the real-time face image to the server, the server transmits the real-time face image to the identity verification module, the identity verification module is used for verifying the identity of the medical worker to acquire a registered face image of the medical worker, facial features of the registered face image and the real-time face image are respectively acquired, the facial features of the registered face image and the facial features of the real-time face image are compared one by one, a verification passing signal is generated after comparison, otherwise, a verification failure signal is generated, the identity verification module feeds back the verification passing signal or the verification failure signal to the server, if the server receives the verification passing signal, a verification passing instruction is generated and loaded to the user terminal, and the medical worker at the user terminal can successfully log in the system, if the server receives the verification failure signal, a verification failure instruction is generated and loaded to the user terminal, and medical staff at the user terminal needs to log in the system again;
after a plurality of medical workers log in a successful system, different medical workers input remote consultation results through a user terminal by combining medical images and send the remote consultation results to a server, the server sends the remote consultation results to a diagnosis sorting module, the remote consultation results are sorted through the diagnosis sorting module to obtain the remote consultation results of the medical workers corresponding to the user terminal, diagnosis key word groups are obtained from the remote consultation results corresponding to the user terminal by utilizing a Chinese word segmentation technology and a key word extraction technology, then drawing brushes of each character in the diagnosis key word groups are obtained, comparison codes of the diagnosis key word groups are formed according to the character sequence, the comparison codes of all the diagnosis key word groups are compared with each other, the diagnosis key word groups with the same comparison codes are combined together to form a consultation result set, and the consultation result set is fed back to the server by the diagnosis sorting module, the server sends different consultation result sets to the user terminal, and medical personnel at the user terminal check different remote consultation results through the consultation result sets.
The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula of the latest real situation obtained by collecting a large amount of data and performing software simulation, the preset parameters in the formula are set by the technical personnel in the field according to the actual situation, the weight coefficient and the scale coefficient are specific numerical values obtained by quantizing each parameter, and the subsequent comparison is convenient.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (8)
1. The remote auditing and consultation system based on the medical images is characterized by comprising a user terminal, an identity verification module, a diagnosis and sorting module, a communication switching module, an environment analysis module, a data acquisition module and a server;
before remote auditing and consultation are carried out, the data acquisition module is used for acquiring environment data of a network used for the remote auditing and consultation and network data of a network which can be connected with the remote auditing and consultation and sending the environment data to the server, and the server sends the environment data to the environment analysis module and sends the network data to the communication switching module; the environment analysis module is used for carrying out environment analysis on a network used for remote auditing and consultation, generating a communication switching signal or a communication normal signal and feeding the communication switching signal or the communication normal signal back to the server, if the server receives the communication normal signal, no operation is carried out, if the server receives the communication switching signal, a communication switching instruction is generated and loaded to the communication switching module, the communication switching module is used for carrying out intelligent switching on the network connected with the remote auditing and consultation, a network switching table is obtained and fed back to the server, and the server completes intelligent switching of the remote auditing and consultation network according to the network switching table;
after a plurality of medical workers log in the successful system, the user terminal is used for inputting remote consultation results by different medical workers and sending the remote consultation results to the server in combination with medical images, the server sends the remote consultation results to the diagnosis and arrangement module, the diagnosis and arrangement module is used for arranging the remote examination and consultation results to obtain a consultation result set which is fed back to the server, the server sends the different consultation result sets to the user terminal, and the medical workers at the user terminal check different remote consultation results through the consultation result set.
2. The medical image-based remote review consultation system according to claim 1, wherein the environmental data includes a network speed upload value, a network speed download value, a buffering duration and a number of times of pause of a network used for remote review consultation;
the network data comprises the current connection number, the network speed uploading value, the network speed downloading value, the buffering time and the blocking times.
3. The medical image-based remote auditing and consultation system according to claim 1, wherein said environment analysis module specifically operates as follows:
the method comprises the following steps: obtaining the buffering time length when the remote audit consultation is connected with the network, and marking the buffering time length as HT;
step two: comparing the buffer duration with a buffer duration threshold;
if the buffering duration is less than or equal to the buffering duration threshold, entering the next step;
if the buffering duration is greater than the buffering duration threshold, generating a communication switching signal;
step three: after the remote audit consultation is successfully connected with the network, setting a network environment monitoring time period;
step four: acquiring the number of times of blocking of a network connected with a remote auditing consultation station in a network environment monitoring period, and marking the number of times of blocking as KC;
step five: setting a plurality of time points in a network environment monitoring time period, and acquiring a network uploading value and a network downloading value of a network connected with a remote audit consultation at the plurality of time points;
step six: adding the network uploading values and the network downloading values at all time points, and averaging to obtain a network downloading average value and a network uploading average value of the network connected with the remote auditing consultation in the network environment monitoring period;
step seven: setting the network downloading average value and the network uploading average value as a network uploading stable value and a network downloading stable value of a network connected with the remote audit consultation;
step eight: calculating the difference value between the network uploading value and the network uploading stable value at each time point in sequence and taking the absolute value to obtain the network uploading difference value, and the difference value between the network uploading value and the network uploading stable value at each time point and taking the absolute value to obtain the difference value between the network downloading value and the network downloading stable value to obtain the network downloading difference value;
step nine: if the network uploading difference value exceeds a network uploading fluctuation threshold value, recording the corresponding time point as a network abnormal time point;
if the network uploading difference value does not exceed the network uploading fluctuation threshold value, recording the corresponding time point as a network normal time point;
if the network download difference value exceeds the network download fluctuation threshold value, recording the corresponding time point as a network abnormal time point;
if the network download difference value does not exceed the network download fluctuation threshold value, recording the corresponding time point as a network normal time point;
step ten: counting the number of the abnormal time points of the network, and marking the number of the abnormal time points of the network as the number YD of the abnormal points of the network;
step eleven: calculating to obtain a network abnormal value of a network connected with the remote auditing consultation station through a formula YC-HT × a1+ KC × a2+ YD × a 3; in the formula, a1, a2 and a3 are all weight coefficients with fixed values, and the values of a1, a2 and a3 are all larger than zero;
step twelve: and if the abnormal value is larger than the abnormal threshold value, generating a communication switching signal, otherwise, generating a communication normal signal.
4. The medical image-based remote auditing and consultation system according to claim 1, wherein the intelligent switching process of the communication switching module is as follows:
step S1: marking the connectable network of the remote audit consultation as i, i is 1, 2, … …, z is a positive integer;
step S2: acquiring the current connection number of the network, and marking the current connection number as LJi;
step S3: calculating the number of the network abnormal time points of each obtained network, and marking the number of the network abnormal time points as network abnormal point numbers YDi;
step S4: obtaining KCi the buffering duration HTi and the number of times of blocking of the network;
step S5: calculating to obtain a fluency value LCi of the connectable network of the remote audit consultation through a formula LCi as e/(LJi + YDi + HTi + KCi); in the formula, e is a natural constant;
step S6: and (4) arranging and generating the network switching table according to the numerical value of the fluency value in a descending order.
5. The medical image-based remote review and consultation system according to claim 1, wherein the diagnosis collating module is configured to collate the remote review and consultation results, and the collating process is specifically as follows:
step SS 1: acquiring a remote consultation result of a user terminal corresponding to a medical worker;
step SS 2: obtaining a diagnosis key phrase from a remote consultation result corresponding to the user terminal by utilizing a Chinese word segmentation technology and a key word extraction technology;
it should be noted that, the Chinese word segmentation technology and the keyword extraction technology are adopted to keep the keyword groups consistent in word number;
step SS 3: acquiring a painting brush of each character in the diagnosis key phrase, and forming a comparison code of the diagnosis key phrase according to the character sequence;
step SS 4: comparing the comparison codes of all the diagnosis key word groups, and gathering the diagnosis key word groups with the same comparison codes to form a consultation result set.
6. The medical image-based remote auditing and consultation system according to claim 1, wherein when performing remote auditing and consultation, the data acquisition module is used for acquiring a real-time facial image of a medical worker and sending the real-time facial image to a server, the server sends the real-time facial image to an identity verification module, and the identity verification module is used for verifying the identity of the medical worker, generating a verification passing signal or a verification failure signal and feeding the verification passing signal or the verification failure signal back to the server;
if the server receives the verification passing signal, a verification passing instruction is generated and loaded to the user terminal, medical staff at the user terminal can successfully log in the system, if the server receives the verification failing signal, a verification failing instruction is generated and loaded to the user terminal, and the medical staff at the user terminal needs to log in the system again.
7. The medical image-based remote auditing and consultation system according to claim 6, wherein the authentication process of the authentication module is as follows:
acquiring a registered face image of a medical worker, and respectively acquiring face features of the registered face image and a real-time face image;
and comparing the facial features of the registered facial image with the facial features of the real-time facial image one by one, and generating a verification passing signal if the comparison is passed, otherwise generating a verification failure signal.
8. A medical image-based remote audit consultation system according to claim 6, wherein facial features include angular mouth width, interaural distance, external canthus distance and nasal bridge length.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115588509A (en) * | 2022-10-19 | 2023-01-10 | 秦皇岛市惠斯安普医学系统股份有限公司 | Multi-mode mammary gland health detection system |
| CN116013552A (en) * | 2023-03-27 | 2023-04-25 | 慧医谷中医药科技(天津)股份有限公司 | Remote consultation method and system based on blockchain |
| CN116128680A (en) * | 2023-01-03 | 2023-05-16 | 深圳富视安智能科技有限公司 | Classroom remote education host system based on Internet and control method |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115588509A (en) * | 2022-10-19 | 2023-01-10 | 秦皇岛市惠斯安普医学系统股份有限公司 | Multi-mode mammary gland health detection system |
| CN115588509B (en) * | 2022-10-19 | 2023-05-02 | 秦皇岛市惠斯安普医学系统股份有限公司 | Multi-mode breast health detection system |
| CN116128680A (en) * | 2023-01-03 | 2023-05-16 | 深圳富视安智能科技有限公司 | Classroom remote education host system based on Internet and control method |
| CN116013552A (en) * | 2023-03-27 | 2023-04-25 | 慧医谷中医药科技(天津)股份有限公司 | Remote consultation method and system based on blockchain |
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