CN116362931A - Intelligent method and intelligent platform for medical simulation teaching - Google Patents
Intelligent method and intelligent platform for medical simulation teaching Download PDFInfo
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Abstract
The invention belongs to the technical field of simulation teaching, and particularly relates to a medical simulation teaching intelligent method and an intelligent platform, wherein the method comprises the following steps: constructing a local module, wherein the local module is in communication connection with the cloud platform module through an internal network, a teacher manages students through the local module, and the teaching course design is carried out, and the local module sends teaching data to the cloud platform module; an online module is established, the online module is in communication connection with the cloud platform module through an external network, a teacher downloads required data from the cloud platform module through the online module, meanwhile, the teacher also carries out student management and teaching course design through the online module, and the online module also sends teaching data to the cloud platform module; the invention can ensure the safety of platform data by constructing a local practice module, students select teaching courses through the local practice module and rescue the teaching robot in a teaching course scene.
Description
Technical Field
The invention belongs to the technical field of simulation teaching, and particularly relates to a medical simulation teaching intelligent method and an intelligent platform.
Background
The medical simulation education at the present stage is more focused on the construction of simulation courses, standardized course cases are developed through a medical simulation teaching platform according to intelligent simulation patients and high-simulation experimental materials, simulation practice conditions capable of being operated repeatedly are constructed, and the development of clinical ability standardization training for students is a necessary requirement for high-quality development of the medical simulation education.
The Chinese patent with the publication number of CN112967546A discloses a cloud teaching platform, which comprises a teacher end platform and a student end platform, wherein the student end platform comprises a student login system and a scenario teaching system, the student logs in the student end platform and reads courseware information from the scenario teaching system, the scenario teaching system transmits the reading courseware information of the student to the teacher end platform, the teacher logs in the teacher end platform and acquires the courseware information through an information acquisition system, a teaching system between the teacher and the student is managed through a teaching management system, teaching contents are planned and output through a teaching output system, and the teaching condition of the student and the teaching condition of the teacher are supervised and counted through a teaching supervision system, however, the problem that the information can be leaked is not considered when the information is uploaded to the platform through a wireless network. In addition, the chinese patent of publication No. CN110689463a provides a teaching management platform, which includes a user management unit, a data arrangement unit, a teaching management unit, a teaching assessment unit and a achievement query unit, and by using computer technology, network technology and communication technology, an informationized management mode of the school is effectively implemented, so that all data and data in the school are shared by the network, and the arrangement and induction efficiency of the data is improved, but only when information interaction is performed, data encryption and decryption management is performed, and a great deal of processing time is spent. Therefore, the invention provides a medical simulation teaching intelligent method and an intelligent platform.
Disclosure of Invention
The invention builds a local module, a teacher carries out student management by logging in the local module and teaching course design, the local module uploads the generated teaching data to the cloud platform module for storage, meanwhile, the invention builds an online module, the teacher carries out student management by logging in the online module and teaching course design, the online module uploads the generated teaching data to the cloud platform module for storage, and the invention builds a local practice module, and students carry out course training by the local practice module. The invention aims to provide a medical simulation teaching intelligent method and an intelligent platform, which not only can improve the flexibility of teaching course design and the like of teachers by using the platform, but also can ensure the safety of platform data.
In order to achieve the above object, the present invention provides a medical simulation teaching intelligent method as follows, which mainly comprises the following steps:
constructing a local module, wherein the local module is in communication connection with a cloud platform module through an internal network, a teacher manages students through the local module, meanwhile, the teacher carries out teaching course design through the local module, the teaching course design comprises customizing teaching course scenes, the condition data of a teaching robot in different condition phases and standard treatment data corresponding to the condition data are designed in the teaching course scenes, and the local module sends the teaching data comprising data generated by the teacher carrying out the student management and data generated by the teacher carrying out the teaching course design to the cloud platform module;
An online module is established, the online module is in communication connection with the cloud platform module through an external network, a teacher downloads required data from the cloud platform module through the online module, meanwhile, the teacher also carries out student management through the online module and also carries out teaching course design, and the online module sends teaching data comprising data generated by the teacher carrying out student management and data generated by the teacher carrying out teaching course design to the cloud platform module;
the method comprises the steps of constructing a local practice module, wherein the local practice module is in communication connection with the local module through an internal network, students select teaching courses through the local practice module, the teaching robots are cured according to disease data which are displayed by the teaching robots and are in different disease states in a teaching course scene, curing data are generated at the same time, and the local practice module compares the curing data with the standard curing data in consistency so as to evaluate whether curing actions taken by the students are correct or not, and the evaluated results are sent to the local module.
As a preferable technical scheme of the invention, a teacher uses an account number and a password to log in the local module, performs student management and teaching course design through the local module, simultaneously generates teaching data, uploads the teaching data to the cloud platform module for storage, the teacher also uses the same account number and the password to log in the online module, the online module acquires the teaching data uploaded by the local module from the cloud platform module, continuously performs student management based on the acquired teaching data, and performs teaching course design, simultaneously generates teaching data, and the online module uploads the generated teaching data to the cloud platform module for storage, and the cloud platform module deletes the teaching data uploaded by the local module and sends the stored latest teaching data to the local module.
As a preferred technical solution of the present invention, after sending the stored latest teaching data to the local module, the method further includes the following steps:
the teacher uses the same account number and password to log in the online module, and the online module obtains teaching data which is uploaded to the cloud platform module by the online module last time from the cloud platform module;
continuously performing student management and teaching course design according to the acquired teaching data, generating teaching data at the same time, uploading the generated teaching data to the cloud platform module for storage by the on-line module, deleting the teaching data uploaded by the on-line module last time by the cloud platform module, and sending the latest stored teaching data to the local module;
judging whether the student management and the teaching course design are needed, jumping to the starting step if the student management and the teaching course design are needed, and ending all the steps if the student management and the teaching course design are not needed.
As a preferred technical solution of the present invention, the on-line module includes a first storage area and a second storage area, where the first storage area is used to store ciphertext of the teaching data sent by the on-line module to the cloud platform module, ciphertext of the teaching data obtained by the on-line module from the cloud platform module, and the second storage area is used to store the teaching data generated by the on-line module, and the teaching data obtained by decrypting the ciphertext of the teaching data obtained by the on-line module from the cloud platform module.
According to the technical scheme, the cloud platform module stores teaching data of different teachers and ciphertext of the teaching data, meanwhile, the cloud platform module stores a data table for managing random numbers corresponding to the teaching data of each teacher in advance, the data records in the data table comprise account numbers, working areas, communication addresses, security levels, random numbers and ciphertext of the random numbers, in the data records of the same account numbers, when the working areas or the communication addresses contained in the data records are different, the random numbers contained in the data records are also different, ciphertext of the random numbers contained in the data records is obtained by encrypting the random numbers through passwords corresponding to the account numbers, the cloud platform module also stores ciphertext of the passwords corresponding to the account numbers of each teacher in advance, the ciphertext of the passwords is obtained through password encryption processing, and the passwords are set by each teacher through the local module.
As a preferable technical scheme of the invention, when a teacher logs in the local module, the local module acquires teaching data from the cloud platform module, and carries out student management and teaching course design continuously according to the acquired teaching data to generate teaching data, and the generated teaching data is sent to the cloud platform module for storage, and the on-line module acquires ciphertext of the teaching data from the cloud platform module.
As a preferable technical scheme of the invention, the online module uploads the generated teaching data to the cloud platform module for storage, and the method comprises the following steps:
the online module sends an uploading notification message to the cloud platform module, wherein the uploading notification message comprises an account number for logging in the online module, a working area where the online module is located and a communication address used by the online module, the cloud platform module searches the data table according to the uploading notification message, determines a security level and a ciphertext of a random number corresponding to the uploading notification message, and sends the determined security level and ciphertext of the random number to the online module;
the on-line module decrypts the ciphertext of the random number by using a password corresponding to the account number registered in the on-line module to obtain the random number, and the on-line module checks whether the ciphertext of the teaching data is newly added in the first storage area;
The on-line module checks whether the teaching data is newly added in the second storage area, and under the condition of the newly added teaching data, the teaching data is encrypted by using the random number to obtain an encryption result, a security level corresponding to the random number used for encryption is added at the end of the data of the encryption result to obtain a ciphertext of the teaching data, the ciphertext of the teaching data is stored in the first storage area, and meanwhile, the ciphertext of the teaching data is sent to the cloud platform module for storage.
As a preferable technical scheme of the invention, the on-line module acquires teaching data from the cloud platform module, and the method comprises the following steps:
the on-line module sends a download notification message to the cloud platform module, wherein the download notification message comprises an account number for logging in the on-line module, a working area where the on-line module is located and a communication address used by the on-line module, the cloud platform module searches the data table according to the download notification message, determines a ciphertext of a random number corresponding to the download notification message, and sends the determined ciphertext of the random number, a security level corresponding to the ciphertext of the random number and a ciphertext of teaching data to the on-line module;
The on-line module extracts the security level from the ciphertext of the teaching data, checks whether the extracted security level is consistent with the security level corresponding to the ciphertext of the random number, under the consistent condition, decrypts the ciphertext of the random number by using a password corresponding to an account number registered in the on-line module to obtain the random number, meanwhile decrypts the ciphertext of the teaching data by using the random number, under the inconsistent condition, the on-line module judges whether the extracted security level is lower than the security level corresponding to the ciphertext of the random number, and when the security level is lower than the security level, applies for the ciphertext of the random number corresponding to the extracted security level to the cloud platform module, and when the security level is not lower than the security level, refuses to decrypt the ciphertext of the teaching data.
As a preferred technical solution of the present invention, the on-line module further performs the following steps:
the online module detects a working area where the online module is located and a communication address used by the online module in real time, and when detecting that the working area where the online module is located or the communication address used by the online module changes, the online module sends a change notification message to the cloud platform module, wherein the change notification message comprises an account number logged in the online module, the working area where the online module is located and the communication address used by the online module;
The cloud platform module searches the data table according to the change notification message, determines the security level corresponding to the change notification message, and sends the determined security level to the online module, the online module judges whether a random number with the corresponding security level higher than the determined security level is stored, and deletes the stored random number if the random number is stored, and continues the next step if the random number is not stored;
and the on-line module judges whether a random number corresponding to the determined security level is stored or not, and applies for a ciphertext of the random number corresponding to the determined security level to the cloud platform module when the random number is not stored.
The invention also provides a medical simulation teaching intelligent platform, which comprises the following modules:
the local module is in communication connection with the cloud platform module through an internal network, a teacher manages students through the local module, meanwhile, the teacher carries out teaching course design through the local module, the teaching course design comprises customizing teaching course scenes, the condition data of the teaching robot in different condition phases and standard treatment data corresponding to the condition data are designed in the teaching course scenes, and the local module sends teaching data comprising data generated by the students through the teacher and data generated by the teaching course design to the cloud platform module;
The online module is in communication connection with the cloud platform module through an external network, a teacher downloads required data from the cloud platform module through the online module, meanwhile, the teacher also carries out student management through the online module and carries out teaching course design, and the online module sends teaching data comprising data generated by the teacher for student management and data generated by the teacher for teaching course design to the cloud platform module;
the local practice module is in communication connection with the local module through an internal network, students select teaching courses through the local practice module, the teaching robots are cured according to the disease data which are displayed by the teaching robots and are in different disease states in the teaching course scene, curing data are generated at the same time, the local practice module compares the curing data with standard curing data in consistency to evaluate whether the curing behaviors adopted by the students are correct, and the evaluated results are sent to the local module.
Compared with the prior art, the invention has the following beneficial effects:
in the invention, a local module is firstly constructed, the local module is in communication connection with a cloud platform module through an internal network, a teacher carries out student management and teaching course design through the local module, and the local module sends generated teaching data to the cloud platform module; secondly, an online module is established, the online module is in communication connection with the cloud platform module through an external network, a teacher downloads required data from the cloud platform module through the online module, meanwhile, the teacher also carries out student management and teaching course design through the online module, and the online module also sends generated teaching data to the cloud platform module; and finally, a local practice module is built, students select teaching courses through the local practice module, the teaching robots are cured in the teaching course scenes, and the local practice module also evaluates the curing behaviors of the students. The platform data encryption method and the platform data encryption device can improve flexibility of the platform used by a teacher, enable the same teacher to use the platform data in a designated working area and also enable the teacher to use the platform data outside the designated working area, meanwhile, the teacher does not need to encrypt the platform data transmitted between the local module and the cloud platform module when the teacher is in the designated working area, time spent on encryption and decryption of the platform is reduced, overall operation efficiency of the platform is improved, and the security of the platform data transmitted between the online module and the cloud platform module is ensured when the teacher is outside the designated working area.
Drawings
FIG. 1 is a flow chart showing the steps of a medical simulation teaching intelligent method of the present invention;
fig. 2 is a composition structural diagram of a medical simulation teaching intelligent platform of the invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
It will be understood that the terms "first," "second," and the like, as used herein, may be used to describe various elements, but these elements are not limited by these terms unless otherwise specified. These terms are only used to distinguish one element from another element. For example, a first xx script may be referred to as a second xx script, and similarly, a second xx script may be referred to as a first xx script, without departing from the scope of the present application.
The invention provides a medical simulation teaching intelligent method shown in figure 1, which is realized by executing the following steps:
firstly, constructing a local module, wherein the local module is in communication connection with a cloud platform module through an internal network, a teacher manages students through the local module, meanwhile, the teacher carries out teaching course design through the local module, the teaching course design comprises customizing teaching course scenes, the condition data of a teaching robot in different condition stages and standard treatment data corresponding to the condition data are designed in the teaching course scenes, and the local module sends teaching data comprising data generated by the students through the teacher managing the students and data generated by the teaching course design through the teacher to the cloud platform module;
Establishing an on-line module, wherein the on-line module is in communication connection with the cloud platform module through an external network, a teacher downloads required data from the cloud platform module through the on-line module, meanwhile, the teacher also carries out student management through the on-line module and carries out teaching course design, and the on-line module sends teaching data comprising data generated by the teacher carrying out student management and data generated by the teacher carrying out teaching course design to the cloud platform module;
and thirdly, constructing a local practice module, wherein the local practice module is in communication connection with the local module through an internal network, students select teaching courses through the local practice module, treat the teaching robots according to disease data which are displayed by the teaching robots and are in different disease states in a teaching course scene, and meanwhile generate treatment data, and the local practice module compares the treatment data with the standard treatment data in consistency so as to evaluate whether the treatment actions taken by the students are correct or not, and sends the evaluated results to the local module.
Specifically, in order to develop standardized course cases according to intelligent simulation patients and high simulation experimental materials, etc., build simulation practice conditions capable of being operated repeatedly, develop clinical ability standardization training for students, first build a local module, the local module includes a local computer, and a software program running on the local computer, the software program is used for providing various platform functions including login functions, student management functions, teaching course design functions, etc., the local computer refers to a computer located inside a designated working area and located in a local area network of the designated working area, for example, the designated working area can be a working area corresponding to a school, when a teacher is located inside the designated working area, the teacher uses account numbers, logs in the local module, carries out student management and teaching course design, etc., corresponding teaching data are generated, the local module uploads the teaching data to a cloud platform module, the cloud platform module is also located inside the designated working area and located in the local area, the cloud platform module can provide powerful storage capacity, be used for storing different large amounts of data, the cloud platform is used for communication between the teacher and the teaching computer through the local computer, the remote control function is also located in the designated working area, the remote control function is considered to be provided by the remote control software module, the remote control software module is located outside the teaching platform, when the teacher is located outside the designated working area, the remote control module is located in the designated working area, the teacher can also log in the online module by using an account number and a password, the teacher and the teacher positioned in the designated working area are the same teacher, the same teacher performs student management, teaching course design and the like, corresponding teaching data are generated, the online module uploads the teaching data to the cloud platform module for storage, the online module is in communication connection with the cloud platform module through an external network, the communication process between the online module and the cloud platform module is generally considered unsafe, so that corresponding encryption measures are required to be adopted, finally, a local practice module is established, the local practice module comprises a local computer, a teaching robot and the like, the local computer can display teaching courses designed by the teacher, students can select corresponding teaching courses, the teaching robot can display a state similar to that of a true person according to the condition data set by the teacher, and the students simulate the rescue process of the true person through operating the teaching robot, so that the aim of course training is achieved.
Furthermore, the teacher uses account numbers and passwords to log in the local module, performs student management and teaching course design through the local module, simultaneously generates teaching data, uploads the teaching data to the cloud platform module for storage, and logs in the online module by using the same account numbers and passwords, acquires the teaching data uploaded by the local module from the cloud platform module, continues student management and teaching course design based on the acquired teaching data, simultaneously generates the teaching data, uploads the generated teaching data to the cloud platform module for storage, and deletes the teaching data uploaded by the local module and sends the latest stored teaching data to the local module.
Specifically, the detailed process of the same teacher using platform is described, when the teacher is located in a designated working area, the teacher logs in the local module to conduct student management and teaching course design and generate teaching data, the local module uploads teaching data to the cloud platform module, after the teacher leaves the designated working area, for example, the teacher returns to the teacher's own home from school, the teacher can log in the online module to acquire teaching data from the cloud platform module, and then continues to conduct student management and teaching course design on the basis of the teaching data, and generate teaching data, the online module uploads teaching data to the cloud platform module, and for the same teacher, the cloud platform module always only stores one piece of latest teaching data, so that the cloud platform module stores the teaching data uploaded by the online module and simultaneously deletes the teaching data stored before and synchronizes the stored latest teaching data to the local module in order to ensure the consistency of the platform data. By the aid of the method, the teacher can work where the teacher is not limited, and flexibility of the teacher using the platform is improved.
Further, after the stored latest teaching data is sent to the local module, the method further comprises the following steps:
firstly, a teacher logs in the online module by using the same account number and password, and the online module acquires teaching data which is uploaded to the cloud platform module by the online module last time from the cloud platform module;
secondly, continuously performing student management and teaching course design according to the acquired teaching data, generating teaching data at the same time, uploading the generated teaching data to the cloud platform module for storage by the on-line module, deleting the teaching data uploaded by the on-line module last time by the cloud platform module, and sending the stored latest teaching data to the local module;
and thirdly, judging whether the student management and the teaching course design are needed, if so, continuing to execute the step of jumping to start, and if not, ending all the steps.
Specifically, following the above, when the same teacher moves from the inside of the designated working area to the outside of the designated working area, after performing a learner management and a teaching course design, the teacher can log in the online module for multiple times as long as performing the learner management and the teaching course design, first log in the online module, acquire the teaching data stored last time by the online module from the cloud platform module, then continue performing the learner management and the teaching course design according to the acquired teaching data, generate the teaching data, send the generated teaching data to the cloud platform module, delete the teaching data sent last time by the online module by the cloud platform module, and synchronize the stored latest teaching data to the local module, so that the teaching data of the teacher of the local module, the cloud platform module and the online module are always the same, finally check whether the learner management and the teaching course design are required to be performed by the online module, and if so, repeatedly execute the above steps. Through the method, the teacher can share teaching data with the local module outside the designated working area through the online module to conduct student management and teaching course design, and also needs to be noted that the teacher is not fixed outside the designated working area, for example, the teacher can be located in the home of the teacher and can also move from the home of the teacher to a coffee shop far away from the home of the teacher.
Further, the on-line module includes a first storage area and a second storage area, where the first storage area is used to store ciphertext of the teaching data sent by the on-line module to the cloud platform module, ciphertext of the teaching data obtained by the on-line module from the cloud platform module, and the second storage area is used to store the teaching data generated by the on-line module, and the teaching data obtained by decrypting the ciphertext of the teaching data obtained by the on-line module from the cloud platform module.
Specifically, the on-line module has a first storage area and a second storage area, where the first storage area and the second storage area are disposed in the remote computer, the first storage area stores ciphertext of the teaching data sent by the on-line module to the cloud platform module, and ciphertext of the teaching data acquired by the on-line module from the cloud platform module, and timing of acquiring the ciphertext of the teaching data by the on-line module from the cloud platform module is described below, and the second storage area stores the teaching data generated by the on-line module, and decrypts the teaching data obtained by the on-line module from the ciphertext of the teaching data acquired by the cloud platform module.
Further, the cloud platform module stores teaching data of different teachers and ciphertext of the teaching data, meanwhile, the cloud platform module stores a data table for managing random numbers corresponding to the teaching data of each teacher in advance, the data records in the data table comprise account numbers, working areas, communication addresses, security levels, random numbers and ciphertext of the random numbers, in the data records where the same account numbers are located, when the working areas or the communication addresses contained in the data records are different, the random numbers contained in the data records are also different, the ciphertext of the random numbers contained in the data records is obtained by encrypting the random numbers by using passwords corresponding to the account numbers, the cloud platform module also stores ciphertext of passwords corresponding to the account numbers of each teacher in advance, the ciphertext of the passwords is obtained by encrypting the passwords by using the passwords, and the passwords are set by each teacher through the local module.
Specifically, the cloud platform module stores teaching data of a teacher, and also stores ciphertext of the teaching data of the teacher, because when the teacher is located outside a designated working area, the communication process between the online module and the cloud platform module is unsafe, the data security of the teaching data can be ensured only when the teaching data uploaded and downloaded in the communication process of the teaching data are encrypted, in addition, the cloud platform module also stores a data table, the data record in the data table comprises an account number, a working area, a communication address, a security level, a random number and the ciphertext of the random number, the account number refers to an account number of the teacher logging on the online module, the working area refers to a place where the online module logged by the teacher is located, and is also a place outside the designated working area, the invention further distinguishes the working area outside the designated working area into N categories, the working area is a working area of category 1, the communication address refers to a communication address used by the online module, the communication address is further distinguished, the communication address is also used by the communication module, the communication address M is a communication address of the first category 1, the address is a random number is stored in the same category as the communication address, the password is further distinguished into the communication address of the second category 1, the communication address is a random number, the password is formed by the combination of the random number and the random number is stored in the communication platform, the random number is a combination of the communication address of the two categories, and the password is encrypted by the password of the security level is formed by the password of the type and the password, the password is further combined with the type and the address of the type of the address of the type M and the address is more than the type of the type and the security type of the type and the address of the type is more than the type and the security type. The password is obtained by using the password encryption processing, and the password is set by the teacher when the teacher logs in the local module, so that when the teacher forgets the password corresponding to the account number, the cloud platform module can also use the password to decrypt the ciphertext of the processing password so as to obtain the password.
Further, when a teacher logs in the local module, the local module acquires teaching data from the cloud platform module, and continues to conduct student management and teaching course design according to the acquired teaching data to generate teaching data, and the generated teaching data is sent to the cloud platform module for storage, and the online module acquires ciphertext of the teaching data from the cloud platform module.
Specifically, it is mentioned that after the same teacher moves from the designated working area to the outside of the designated working area and performs a learner management and teaching course design, the teacher can log in the online module for multiple times as long as the learner management and teaching course design is still required, similarly, when the same teacher returns to the inside of the designated working area, the teacher can log in the local module again, the teaching data stored by the cloud platform module is obtained, the learner management and teaching course design is performed continuously based on the obtained teaching data, the teaching data is generated, and it is noted that, because the local module and the cloud platform module are both located in the internal local area network, the communication process between the local module and the cloud platform module is safe, the local module can directly upload the generated teaching data, after the cloud platform module receives the teaching data, the teaching data generated by the teacher is updated by the previous time, the random number corresponding to the ciphertext of the teaching data stored by the previous time is used, the teaching data generated by the teacher is encrypted, the teaching data generated by the teacher is updated by the previous time, and the ciphertext generated by the ciphertext corresponding to the ciphertext of the teaching data stored by the previous teacher is obtained by the cloud platform module, and the ciphertext data is obtained by the teacher, and the ciphertext is consistent with the ciphertext data generated by the teacher module. Through the method, when a teacher carries out student management and teaching course design in the designated working area, encryption processing on teaching data uploaded and downloaded in the communication process of the local module and the cloud platform module is not needed, the data security is ensured, the time spent by the platform for encryption and decryption processing is reduced, and the overall operation efficiency of the platform is improved.
Further, the online module uploads the generated teaching data to the cloud platform module for storage, and the online module comprises the following steps:
the method comprises the steps that firstly, an online module sends an uploading notification message to a cloud platform module, the uploading notification message comprises an account number for logging in the online module, a working area where the online module is located and a communication address used by the online module, the cloud platform module searches the data table according to the uploading notification message, determines a security level corresponding to the uploading notification message and a ciphertext of a random number, and the cloud platform module sends the determined security level and ciphertext of the random number to the online module;
the second step, the above-mentioned online module uses the password that the account number of the above-mentioned online module is logged in to carry on the decrypting processing to the ciphertext of the random number in order to get the random number, and the above-mentioned online module checks whether the ciphertext of the new teaching data in the above-mentioned first storage area, under the condition of ciphertext of the new teaching data, use the ciphertext of the decrypting processing teaching data of the random number, when decrypting succeeds, store the teaching data obtained by decrypting into the above-mentioned second storage area, continue the next step, under the condition of ciphertext without new teaching data, continue the next step directly;
And thirdly, checking whether the teaching data is newly added in the second storage area by the on-line module, and under the condition of the newly added teaching data, encrypting the teaching data by using a random number to obtain an encryption result, adding a security level corresponding to the random number used for encryption at the end of the data of the encryption result to obtain a ciphertext of the teaching data, storing the ciphertext of the teaching data in the first storage area, and simultaneously transmitting the ciphertext of the teaching data to the cloud platform module for storage.
Specifically, the process of transmitting teaching data to the cloud platform module by the on-line module is described in detail, in the first step, the on-line module transmits an uploading notification message including an account number, a working area and a communication address, wherein the working area is a specific type working area, the communication address is also a specific type communication address, therefore, the cloud platform module can determine the corresponding security level and the corresponding random number ciphertext through looking up a data table, and send the security level and the random number ciphertext to the on-line module, in the second step, the on-line module firstly uses a password to decrypt the random number to obtain the random number, then checks whether the ciphertext of the teaching data is newly added in the first storage area, if the ciphertext of the teaching data is newly added, then a learner management and a teaching course design is performed in the specific working area, because the teacher does not encrypt the ciphertext when the teacher is in the specific working area, although the content of the teaching data is updated, the corresponding security level random number of the teaching data is unchanged, if the random number obtained by decryption processing is the random security level and the random number which is the security level is the same, in the second step, the line module can decrypt the random number by using the decryption processing after the line, if the random number is newly added in the second storage area, and can not obtain the second step, if the teaching data can be decrypted by the second step, and the teaching course can be obtained by means of storing the random number after the decryption processing in the second storage area, if the second decryption processing is newly added in the storage area, and storing the ciphertext of the teaching data in a first storage area, uploading the ciphertext to the cloud platform module, after the cloud platform module receives the ciphertext of the teaching data, storing the ciphertext of the teaching data, removing a part of the security level corresponding to the random number used in encryption processing from the ciphertext of the teaching data, decrypting the rest part by using the random number used in encryption processing to obtain the teaching data, and storing the teaching data. Through the method, when a teacher is outside the designated working area, whether the on-line module is safe or not can be judged according to the working area and the communication address of the on-line module, and the safer the on-line module is, the more simple random numbers can be used, so that the on-line module can carry out encryption processing through the corresponding random numbers, the safety of data can be ensured, and excessive time spent on encryption processing and decryption processing is avoided as much as possible.
Further, the on-line module obtains teaching data from the cloud platform module, including the following steps:
the method comprises the steps that firstly, an online module sends a downloading notification message to a cloud platform module, the downloading notification message comprises an account number for logging in the online module, a working area where the online module is located and a communication address used by the online module, the cloud platform module searches the data table according to the downloading notification message, determines a ciphertext of a random number corresponding to the downloading notification message, and sends the determined ciphertext of the random number, a security level corresponding to the ciphertext of the random number and a ciphertext of teaching data to the online module;
and secondly, the on-line module extracts the security level from the ciphertext of the teaching data, checks whether the extracted security level is consistent with the security level corresponding to the ciphertext of the random number, decrypts the ciphertext of the random number by using a password corresponding to the account number registered on the on-line module under the condition of consistency to obtain the random number, decrypts the ciphertext of the teaching data by using the random number, judges whether the extracted security level is lower than the security level corresponding to the ciphertext of the random number under the condition of inconsistency, applies for the ciphertext of the random number corresponding to the extracted security level to the cloud platform module when the security level is lower than the security level, and refuses to decrypt the ciphertext of the teaching data when the security level is not lower than the security level.
Specifically, the process of obtaining teaching data from the cloud platform module by the online module is described in detail, in the first step, the online module sends a download notification message to the cloud platform module, the download notification message comprises an account number, a working area and a communication address, the working area is a working area of a specific class, the communication address is a communication address of the specific class, accordingly, the cloud platform module can determine a corresponding security level and a ciphertext of a random number according to a data table and send the corresponding security level and the ciphertext of the random number to the online module together with the ciphertext of the teaching data, in the second step, the online module extracts the security level from the ciphertext of the teaching data and compares the security level with the security level corresponding to the ciphertext of the random number, if the security level and the ciphertext are inconsistent, whether the extracted security level is lower than the security level corresponding to the ciphertext of the random number is continuously judged, if the security level is lower than the security level, the security level of the online module is lower than the security level when the ciphertext of the acquired teaching data is generated before the online module is explained, therefore, the online module is allowed to obtain the security level from the ciphertext corresponding to be decrypted from the ciphertext of the teaching data, if the ciphertext is not equal to the ciphertext of the random number is not allowed to be decrypted, and the teaching data can be decrypted after the decryption is not processed. By the method, when a teacher is outside the designated working area, the teacher can still use the platform data, and the safety of the platform data can be strictly ensured.
Further, the above-mentioned on-line module further performs the following steps:
the method comprises the steps that firstly, an online module detects a working area where the online module is located and a communication address used by the online module in real time, and when detecting that the working area where the online module is located or the communication address used by the online module changes, the online module sends a change notification message to the cloud platform module, wherein the change notification message comprises an account number registered in the online module, the working area where the online module is located and the communication address used by the online module;
the second step, the cloud platform module searches the data table according to the change notification message, determines the security level corresponding to the change notification message, and sends the determined security level to the online module, the online module judges whether a random number with the corresponding security level higher than the determined security level is stored, if so, the stored random number is deleted, and if not, the next step is continued;
and thirdly, judging whether the random number corresponding to the determined security level is stored in the online module, and applying for the ciphertext of the random number corresponding to the determined security level to the cloud platform module when the random number is not stored.
Specifically, the reason why the online module cannot decrypt the ciphertext of the teaching data is that the security level corresponding to the online module when the ciphertext of the teaching data is generated before is different from the security level corresponding to the current online module, the security level corresponding to the online module is determined by the working area and the communication address of the online module, the online module always detects the specific types of the working area and the communication address of the online module in real time, in the first step, when the working area outside the designated working area of the online module is detected or the communication address is changed, a change notification message is sent to the cloud platform module, in the second step, the cloud platform module determines the corresponding security level according to the data table and sends the corresponding security level to the online module, and the online module judges whether the random number corresponding to the security level is stored or not. By the method, the working area and the communication address of the on-line module are detected in real time, so that the random number matched with the safety of the on-line module can be always distributed to the on-line module, and the ciphertext of teaching data which cannot be decrypted before can be decrypted with the change of the working area and the communication address of the on-line module.
According to another aspect of the embodiment of the present invention, referring to fig. 2, there is further provided a medical simulation teaching intelligent platform, including a local module, an on-line module, and a local practice module, configured to implement a medical simulation teaching intelligent method as described above, where specific functions of each module are as follows:
the local module is in communication connection with the cloud platform module through an internal network, a teacher manages students through the local module, meanwhile, the teacher carries out teaching course design through the local module, the teaching course design comprises customizing teaching course scenes, the condition data of the teaching robot in different condition phases and standard treatment data corresponding to the condition data are designed in the teaching course scenes, and the local module sends teaching data comprising data generated by the students through the teacher and data generated by the teaching course design to the cloud platform module;
the online module is in communication connection with the cloud platform module through an external network, a teacher downloads required data from the cloud platform module through the online module, meanwhile, the teacher also carries out student management through the online module and carries out teaching course design, and the online module sends teaching data comprising data generated by the teacher for student management and data generated by the teacher for teaching course design to the cloud platform module;
The local practice module is in communication connection with the local module through an internal network, students select teaching courses through the local practice module, the teaching robots are cured according to the disease data which are displayed by the teaching robots and are in different disease states in the teaching course scene, curing data are generated at the same time, the local practice module compares the curing data with standard curing data in consistency to evaluate whether the curing behaviors adopted by the students are correct, and the evaluated results are sent to the local module.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in various embodiments may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the sub-steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of the sub-steps or stages of other steps or other steps.
Those skilled in the art will appreciate that implementing all or part of the above-described methods may be accomplished by way of computer programs, which may be stored on a non-transitory computer readable storage medium, and which, when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The technical features of the above embodiments may be arbitrarily combined, and for brevity, all of the possible combinations of the technical features of the above embodiments are not described, however, they should be considered as the scope of the description of the present specification as long as there is no contradiction between the combinations of the technical features.
The foregoing examples have been presented to illustrate only a few embodiments of the invention and are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (10)
1. The intelligent medical simulation teaching method is characterized by comprising the following steps of:
Constructing a local module, wherein the local module is in communication connection with a cloud platform module through an internal network, a teacher manages students through the local module, meanwhile, the teacher carries out teaching course design through the local module, the teaching course design comprises customizing teaching course scenes, the condition data of a teaching robot in different condition phases and standard treatment data corresponding to the condition data are designed in the teaching course scenes, and the local module sends the teaching data comprising data generated by the teacher carrying out the student management and data generated by the teacher carrying out the teaching course design to the cloud platform module;
an online module is established, the online module is in communication connection with the cloud platform module through an external network, a teacher downloads required data from the cloud platform module through the online module, meanwhile, the teacher also carries out student management through the online module and also carries out teaching course design, and the online module sends teaching data comprising data generated by the teacher carrying out student management and data generated by the teacher carrying out teaching course design to the cloud platform module;
The method comprises the steps of constructing a local practice module, wherein the local practice module is in communication connection with the local module through an internal network, students select teaching courses through the local practice module, the teaching robots are cured according to disease data which are displayed by the teaching robots and are in different disease states in a teaching course scene, curing data are generated at the same time, and the local practice module compares the curing data with the standard curing data in consistency so as to evaluate whether curing actions taken by the students are correct or not, and the evaluated results are sent to the local module.
2. The intelligent medical simulation teaching method according to claim 1, wherein a teacher logs in the local module by using an account number and a password, performs student management and teaching course design through the local module, simultaneously generates teaching data, uploads the teaching data to the cloud platform module for storage, logs in the online module by using the same account number and the password, acquires the teaching data uploaded by the local module from the cloud platform module, continues student management based on the acquired teaching data, and performs teaching course design, simultaneously generates teaching data, uploads the generated teaching data to the cloud platform module for storage, and the cloud platform module deletes the teaching data uploaded by the local module and sends the latest teaching data stored to the local module.
3. A medical simulation teaching intelligence method according to claim 2, characterized in that after sending stored latest teaching data to said local module, it further comprises the steps of:
the teacher uses the same account number and password to log in the online module, and the online module obtains teaching data which is uploaded to the cloud platform module by the online module last time from the cloud platform module;
continuously performing student management and teaching course design according to the acquired teaching data, generating teaching data at the same time, uploading the generated teaching data to the cloud platform module for storage by the on-line module, deleting the teaching data uploaded by the on-line module last time by the cloud platform module, and sending the latest stored teaching data to the local module;
judging whether the student management and the teaching course design are needed, jumping to the starting step if the student management and the teaching course design are needed, and ending all the steps if the student management and the teaching course design are not needed.
4. A medical simulation teaching intelligence method according to claim 3 and characterized in that said on-line module comprises a first storage area for storing ciphertext of teaching data sent by said on-line module to said cloud platform module and ciphertext of teaching data obtained by said on-line module from said cloud platform module, and a second storage area for storing teaching data generated by said on-line module and teaching data obtained by decrypting ciphertext of teaching data obtained by said on-line module from said cloud platform module.
5. The intelligent medical simulation teaching method according to claim 4, wherein the cloud platform module stores teaching data of different teachers and ciphertext of the teaching data, and simultaneously the cloud platform module stores in advance a data table for managing random numbers corresponding to the teaching data of each teacher, wherein data records in the data table include account numbers, work areas, communication addresses, security levels, random numbers, and ciphertext of the random numbers, and in the data records where the same account numbers are located, when the work areas or communication addresses included in the data records are different, the random numbers included in the data records are also different, ciphertext of the random numbers included in the data records is obtained by encrypting the random numbers by using passwords corresponding to the account numbers, and ciphertext of the passwords is obtained by encrypting the passwords by using passwords corresponding to the account numbers of each teacher, and the passwords are set by each teacher through the local module.
6. The intelligent medical simulation teaching method according to claim 5, wherein when a teacher logs in the local module, the local module acquires teaching data from the cloud platform module, performs student management and teaching course design continuously according to the acquired teaching data, generates teaching data, and sends the generated teaching data to the cloud platform module for storage, and the online module acquires ciphertext of the teaching data from the cloud platform module.
7. The intelligent medical simulation teaching method according to claim 6, wherein the online module uploads the generated teaching data to the cloud platform module for storage, and the intelligent medical simulation teaching method comprises the following steps:
the online module sends an uploading notification message to the cloud platform module, wherein the uploading notification message comprises an account number for logging in the online module, a working area where the online module is located and a communication address used by the online module, the cloud platform module searches the data table according to the uploading notification message, determines a security level and a ciphertext of a random number corresponding to the uploading notification message, and sends the determined security level and ciphertext of the random number to the online module;
the on-line module decrypts the ciphertext of the random number by using a password corresponding to the account number registered in the on-line module to obtain the random number, and the on-line module checks whether the ciphertext of the teaching data is newly added in the first storage area;
The on-line module checks whether the teaching data is newly added in the second storage area, and under the condition of the newly added teaching data, the teaching data is encrypted by using the random number to obtain an encryption result, a security level corresponding to the random number used for encryption is added at the end of the data of the encryption result to obtain a ciphertext of the teaching data, the ciphertext of the teaching data is stored in the first storage area, and meanwhile, the ciphertext of the teaching data is sent to the cloud platform module for storage.
8. The intelligent medical simulation teaching method according to claim 7, wherein the on-line module obtains teaching data from the cloud platform module, and the method comprises the following steps:
the on-line module sends a download notification message to the cloud platform module, wherein the download notification message comprises an account number for logging in the on-line module, a working area where the on-line module is located and a communication address used by the on-line module, the cloud platform module searches the data table according to the download notification message, determines a ciphertext of a random number corresponding to the download notification message, and sends the determined ciphertext of the random number, a security level corresponding to the ciphertext of the random number and a ciphertext of teaching data to the on-line module;
The on-line module extracts the security level from the ciphertext of the teaching data, checks whether the extracted security level is consistent with the security level corresponding to the ciphertext of the random number, under the consistent condition, decrypts the ciphertext of the random number by using a password corresponding to an account number registered in the on-line module to obtain the random number, meanwhile decrypts the ciphertext of the teaching data by using the random number, under the inconsistent condition, the on-line module judges whether the extracted security level is lower than the security level corresponding to the ciphertext of the random number, and when the security level is lower than the security level, applies for the ciphertext of the random number corresponding to the extracted security level to the cloud platform module, and when the security level is not lower than the security level, refuses to decrypt the ciphertext of the teaching data.
9. The intelligent medical simulation teaching method according to claim 8, wherein the on-line module further performs the steps of:
the online module detects a working area where the online module is located and a communication address used by the online module in real time, and when detecting that the working area where the online module is located or the communication address used by the online module changes, the online module sends a change notification message to the cloud platform module, wherein the change notification message comprises an account number logged in the online module, the working area where the online module is located and the communication address used by the online module;
The cloud platform module searches the data table according to the change notification message, determines the security level corresponding to the change notification message, and sends the determined security level to the online module, the online module judges whether a random number with the corresponding security level higher than the determined security level is stored, and deletes the stored random number if the random number is stored, and continues the next step if the random number is not stored;
and the on-line module judges whether a random number corresponding to the determined security level is stored or not, and applies for a ciphertext of the random number corresponding to the determined security level to the cloud platform module when the random number is not stored.
10. A medical simulation teaching intelligent platform for implementing the method according to any of claims 1-9, characterized by comprising the following modules:
the local module is in communication connection with the cloud platform module through an internal network, a teacher manages students through the local module, meanwhile, the teacher carries out teaching course design through the local module, the teaching course design comprises customizing teaching course scenes, the condition data of the teaching robot in different condition phases and standard treatment data corresponding to the condition data are designed in the teaching course scenes, and the local module sends teaching data comprising data generated by the students through the teacher and data generated by the teaching course design to the cloud platform module;
The online module is in communication connection with the cloud platform module through an external network, a teacher downloads required data from the cloud platform module through the online module, meanwhile, the teacher also carries out student management through the online module and carries out teaching course design, and the online module sends teaching data comprising data generated by the teacher for student management and data generated by the teacher for teaching course design to the cloud platform module;
the local practice module is in communication connection with the local module through an internal network, students select teaching courses through the local practice module, the teaching robots are cured according to the disease data which are displayed by the teaching robots and are in different disease states in the teaching course scene, curing data are generated at the same time, the local practice module compares the curing data with standard curing data in consistency to evaluate whether the curing behaviors adopted by the students are correct, and the evaluated results are sent to the local module.
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