CN114757598A - Medical service platform based on computer virtual simulation - Google Patents
Medical service platform based on computer virtual simulation Download PDFInfo
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Abstract
The invention relates to a medical service platform based on computer virtual simulation, in particular to the technical field of data analysis, which comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring process parameters of a user during virtual simulation operation; the storage module is used for storing the process parameters of the virtual simulation operation of the user and is connected with the acquisition module; the analysis module is used for carrying out data analysis according to the acquired process parameters, is connected with the acquisition module, and is internally provided with a grading unit used for grading areas in the virtual simulation scene during data analysis; the evaluation module is used for evaluating the proficiency of the user according to the data analysis result and is connected with the analysis module; and the reminding module is used for carrying out corresponding reminding according to the proficiency evaluation result of the user and is connected with the evaluation module. The invention effectively improves the evaluation efficiency of the virtual simulation process of the user.
Description
Technical Field
The invention relates to the technical field of data analysis, in particular to a medical service platform based on computer virtual simulation.
Background
Virtual simulation, which is a simulation technology or simulation technology, is a technology that one platform simulates another real platform, and is actually a computer platform that can create and experience a virtual world, which is generated by a computer, can be a reproduction of a real world, and can also be a world in the conception, and a user can naturally interact with the virtual world through various sensing channels such as vision, hearing, touch and the like.
Chinese patent publication no: CN106251751A discloses a medical treatment operation simulation platform based on VR technique, and this platform can realize that medical personnel carry out the experience that the body was felt to medical instrument's performance and function when experiencing virtual reality technique, but this platform does not carry out the analysis to medical personnel's operation process, can't carry out accurate evaluation to medical personnel's operation level, skilled state.
Disclosure of Invention
Therefore, the invention provides a medical service platform based on computer virtual simulation, which is used for solving the problem of low user evaluation efficiency caused by the fact that the proficiency state of the user virtual simulation process is not accurately analyzed in the prior art.
In order to achieve the above object, the present invention provides a medical service platform based on computer virtual simulation, including:
The acquisition module is used for acquiring process parameters of a user during virtual simulation operation;
the storage module is used for storing the process parameters of the virtual simulation operation of the user and is connected with the acquisition module;
the analysis module is used for carrying out data analysis according to the acquired process parameters, is connected with the acquisition module, and is internally provided with a grading unit which is used for grading the area in the virtual simulation scene when the data analysis is carried out, taking the position of a patient in the virtual simulation scene as a primary target area, taking a tool area in the virtual simulation scene as a secondary target area, wherein the grading unit is connected with a calculation unit which is used for calculating a first cooking coefficient according to the operation integrity of a user in the primary target area and calculating a second cooking coefficient according to the use state of the user in the secondary target area;
the evaluation module is used for evaluating the proficiency of the user according to the data analysis result, is connected with the analysis module, and is used for calculating the proficiency of the user according to each proficiency coefficient during evaluation, adjusting the proficiency of the user according to the operation duration of the user, and after the adjustment is completed, the evaluation module is used for correcting the proficiency of the user according to the operation times of the user and evaluating the proficiency according to the corrected proficiency;
And the reminding module is used for carrying out corresponding reminding according to the proficiency evaluation result of the user and is connected with the evaluation module.
Further, the calculating unit obtains the operation integrity M of the user operation in the primary target area when calculating the first cooking coefficient, compares the operation integrity M with a preset operation integrity M0, and calculates the first cooking coefficient according to the comparison result, wherein,
when M is less than or equal to M0, the calculating unit sets the first cooking coefficient to be A11, A11 is a preset value, and A11 is more than 0 and less than 0.2;
when M > M0, the calculation unit sets the first learning coefficient to a12, sets a12= a11+ a11 × (M-M0)/M0, and takes a12=1 when a12 ≧ 1.
Further, when acquiring the operation integrity degree M, the calculating unit acquires the number N of operation steps that have been performed on the primary target area by the user, and calculates the operation integrity degree M of the user based on the acquired number N, and sets M = N/N0, where N0 is a preset standard number of operation steps.
Further, when calculating the second cooking coefficient, the calculating unit obtains the number of tool use errors K in the virtual simulation process of the user, compares the number of tool use errors K with a preset number of use errors, and calculates the second cooking coefficient according to the comparison result, wherein,
When K is less than or equal to K0, the calculating unit sets the second cooking coefficient to be A21, A21 is a preset value, and A21 is more than 0.8 and less than 1;
when K > K0, the calculation unit sets the second cooking coefficient to a22, setting a22= a 21-a 21 × (K-K0)/K.
Further, the calculation unit adjusts the second cooking coefficient according to the use state of the tool after the calculation of the second cooking coefficient is completed, wherein,
if the use state of the tool is a selection error, the calculation unit adjusts the use error frequency of the tool to be K ' so as to reduce the second cooking coefficient, K ' = K multiplied by a0 is set, a0 is a preset adjustment coefficient, 1 & lta 0 & lt1.2, and K ' is rounded upwards;
if the using state of the tool is a using error, the computing unit does not adjust.
Further, the evaluation module calculates proficiency level L of the user based on the first and second cooking coefficients at the time of evaluation, sets L =0.5 × A1i +0.5 × A2j, sets i =1,2, j =1,2, compares the calculated proficiency level L with a preset proficiency level L0, and evaluates based on the comparison result, wherein,
when L < L1, the evaluation module determines that the proficiency level of the user is low;
when L1 is less than or equal to L < L2, the evaluation module judges that the proficiency level of the user is normal;
When L2 is less than or equal to L, the evaluation module judges that the proficiency level of the user is high;
wherein L1 is the first predetermined proficiency, L2 is the second predetermined proficiency, and L1 < L2.
Further, when adjusting the proficiency L of the user, the evaluation module obtains the operation time length T of the user in the virtual simulation process, compares the operation time length T with a preset standard time length T0, and adjusts the proficiency L of the user according to the comparison result, wherein,
when T is less than or equal to T0, the evaluation module judges that the operation duration of the user meets the requirement and does not adjust;
when T > T0, the evaluation module determines that the operation time length of the user does not satisfy the requirement, and adjusts the proficiency of the user to L ', and sets L' = L-L × (T-T0)/T.
Further, after the proficiency L of the user is adjusted, the evaluation module obtains the accumulated operation times F of the user through virtual simulation, compares the accumulated operation times F with the preset operation times F0, and corrects the adjusted proficiency L' according to the comparison result, wherein,
when the F is less than or equal to F0, the evaluation module judges that the operation times of the user on the virtual simulation content are normal and does not carry out correction;
when F > F0, the evaluation module determines that the user operates frequently on the virtual simulation content and corrects the proficiency of the user to L = L '+ L' × (F-F0)/F.
Further, the reminding module acquires the proficiency evaluation result of the user when reminding, and correspondingly reminds the user according to the proficiency evaluation result, wherein,
when the proficiency level of the user is judged to be low, the reminding module prompts the user that the operation does not meet the requirement and virtual simulation content needs to be repeatedly trained, and prompts the user for wrong operation in the first target area and the second target area;
when the proficiency level of the user is judged to be normal, the reminding module prompts that the user has defects in operation and prompts the user for wrong operation in the first target area and the second target area;
and when the proficiency level of the user is judged to be high, the reminding module prompts the user to operate to meet the requirement.
Further, the process parameters include operation integrity, tool use state, operation duration and accumulated operation times.
Compared with the prior art, the method has the advantages that the process parameters of the user during virtual simulation are obtained through the obtaining module, the operation states of the user in each area in the virtual simulation are determined through accurate analysis of the process parameters, proficiency coefficients are calculated, proficiency of the user is finally determined, and therefore the user is reminded in time, and operation risks of the user in practical application are reduced; the calculation unit can ensure the accuracy of calculation by calculating the first learning coefficient according to the operation integrity of the user operation, the integrity of the user operation can effectively reflect the operation proficiency of the user, when the operation integrity M is within a preset value, the operation integrity is small, a fixed value is taken as a first learning coefficient, when the operation integrity M is greater than the preset value, the calculation is carried out according to the difference between the first learning coefficient and the preset value, so that the first learning coefficient is increased along with the increase of the operation integrity, the accuracy of the first learning coefficient is ensured through accurate calculation, the accuracy of the virtual simulation analysis of the user is improved, when the operation integrity is calculated, the calculation unit compares the number of the operation steps executed by the user with the preset standard value, the accuracy of the first learning coefficient is ensured through the calculation of the operation integrity, and the accuracy of the virtual simulation analysis of the user is improved, and further, the evaluation efficiency of the virtual simulation process of the user is improved.
In particular, the calculation unit can ensure the accuracy of calculating the second cooking coefficient by calculating the second cooking coefficient according to the tool use error frequency of the user, the tool use error frequency can effectively reflect the operation proficiency state of the user, when the tool use error frequency K is within a preset value, the tool use error frequency is less, a fixed value is taken as the second cooking coefficient at the moment, when the tool use error frequency K is greater than the preset value, the calculation is carried out according to the difference value between the tool use error frequency K and the preset value, so that the second cooking coefficient is reduced along with the increase of the tool use error frequency, the accuracy of the second cooking coefficient is ensured through precise calculation, the accuracy of virtual simulation analysis of the user is improved, and when the calculation is finished, the calculation unit also adjusts the second cooking coefficient according to the use state of the tool, so that the accuracy of the second cooking coefficient is improved, when the using state of the tool is a selection error, the second training coefficient is reduced by increasing the using error times K of the tool, so that the accuracy of the second training coefficient is improved, the accuracy of the virtual simulation analysis of the user is further improved, and the evaluation efficiency of the virtual simulation process of the user is improved.
Particularly, the evaluation module evaluates the user by calculating the proficiency of the user to ensure the evaluation accuracy of the user, the proficiency calculation comprises a first proficiency coefficient and a second proficiency coefficient, the first proficiency coefficient reflects the proficiency state of the user in operating the patient position, the second proficiency coefficient reflects the proficiency state of the user in using the tool, the overall proficiency state of the user in the virtual simulation content can be effectively reflected by combining the first proficiency coefficient and the second proficiency coefficient, the proficiency level of the user is distinguished by setting a preset number measure, so that the proficiency evaluation accuracy of the user is improved, and the evaluation efficiency of the virtual simulation process of the user is improved.
Particularly, the evaluation module adjusts and corrects the proficiency of the user to further improve the accuracy of calculation of the proficiency of the user, so that the accuracy of evaluation of the proficiency of the user is improved, when the evaluation module adjusts, the evaluation module compares the operation time T of the user in the virtual simulation process with a preset value, if the operation time T is within the preset value, the operation time T of the user meets the requirement and is not adjusted, otherwise, the proficiency of the user is reduced through adjustment, the longer the operation time is, the more unskilled the operation process of the user is proved, the accuracy of calculation of the proficiency of the user is effectively improved through adjustment, so that the accuracy of virtual simulation analysis of the user is improved, meanwhile, when the evaluation module corrects the adjusted proficiency, the accumulated operation times F of the user through virtual simulation are compared with the preset value, and if the operation times are within the preset value, the operation times are proved to be few and are not corrected, otherwise, the proficiency of the user is increased through correction, the greater the accumulated operation times, the more proficiency of the user is proved, and the accuracy of calculating the proficiency of the user is further improved through correction by the evaluation module, so that the accuracy of virtual simulation analysis of the user is improved, and the evaluation efficiency of the virtual simulation process of the user is improved.
Particularly, the reminding module is used for reminding the user of different proficiency levels of the user in the virtual simulation process so that the user can obtain proficiency of virtual simulation operation, the user can correct self operation defects conveniently, and operation risks of the user in practical application are reduced.
Drawings
Fig. 1 is a schematic structural diagram of a medical service platform based on computer virtual simulation according to an embodiment of the present invention.
Detailed Description
In order that the objects and advantages of the invention will be more clearly understood, the invention is further described in conjunction with the following examples; it should be understood that the specific embodiments described herein are merely illustrative of the invention and do not delimit the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only for explaining the technical principles of the present invention, and do not limit the scope of the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
Please refer to fig. 1, which is a medical service platform based on computer virtual simulation according to the present embodiment, the platform includes:
the acquisition module is used for acquiring process parameters of a user during virtual simulation operation, wherein the process parameters comprise operation integrity, tool use state, operation duration, accumulated operation times and the like, and the virtual simulation process of the embodiment is that the user performs virtual surgery on a patient through VR;
the storage module is used for storing the process parameters of the virtual simulation operation of the user and is connected with the acquisition module;
the analysis module is used for carrying out data analysis according to the acquired process parameters, is connected with the acquisition module, and is internally provided with a grading unit which is used for grading the area in the virtual simulation scene during data analysis, taking the position of a patient in the virtual simulation scene as a primary target area, taking a tool area in the virtual simulation scene as a secondary target area, wherein the grading unit is connected with the calculation unit which is used for calculating a first cooking coefficient according to the operation integrity of a user in the primary target area and calculating a second cooking coefficient according to the use state of the user in the secondary target area;
The evaluation module is used for evaluating the proficiency of the user according to the data analysis result, is connected with the analysis module, and is further used for calculating the proficiency of the user according to each proficiency coefficient during evaluation, adjusting the proficiency of the user according to the operation time length of the user, and after adjustment is completed, the evaluation module is further used for correcting the proficiency of the user according to the operation times of the user and evaluating the proficiency according to the corrected proficiency;
and the reminding module is used for carrying out corresponding reminding according to the proficiency evaluation result of the user and is connected with the evaluation module.
Specifically, the platform in this embodiment is applied to a cloud to monitor an operation process of virtual simulation of a user, the user can perform different operations on different patients during virtual simulation operation, the user can operate freely, the process parameters of the user during virtual simulation are obtained through the obtaining module, and the operation states of the user in various areas in the virtual simulation are determined through accurate analysis of the process parameters, so that proficiency coefficients are calculated, proficiency of the user is finally determined, the user is timely reminded, and the operation risk of the user in actual application is reduced.
Specifically, the calculation unit acquires the operation integrity M of the user operation in the primary target region when calculating the first learning coefficient, compares it with a preset operation integrity M0, and calculates the first learning coefficient based on the comparison result,
when M is less than or equal to M0, the calculating unit sets the first cooking coefficient to be A11, A11 is a preset value, and A11 is more than 0 and less than 0.2;
when M > M0, the calculation unit sets the first learning coefficient to a12, sets a12= a11+ a11 × (M-M0)/M0, and takes a12=1 when a12 ≧ 1.
Specifically, when the operation integrity degree M is obtained, the calculating unit obtains the number N of operation steps that have been executed by the user on the primary target area, and calculates the operation integrity degree M of the user by using the number N, where M = N/N0 is set, where N0 is a preset standard number of operation steps.
Specifically, in this embodiment, the calculating unit calculates the first learning coefficient according to the operation integrity of the user operation, so as to ensure the accuracy of the calculation, the operation integrity of the user operation can effectively reflect the operation proficiency of the user, when the operation integrity M is within a preset value, the operation integrity is small, at this time, a fixed value is used as the first learning coefficient, when the operation integrity M is greater than the preset value, the calculating unit calculates according to the difference between the operation integrity M and the preset value, so that the first learning coefficient increases with the increase of the operation integrity, the accuracy of the first learning coefficient is ensured through precise calculation, so as to improve the accuracy of the virtual simulation analysis of the user, when the operation integrity is calculated, the calculating unit compares the number of operation steps executed by the user with a preset standard value, and ensures the accuracy of the first learning coefficient through the calculation of the operation integrity, therefore, the accuracy of the virtual simulation analysis of the user is improved. It can be understood that, in this embodiment, the obtaining manner of the executed steps is not limited, and a person skilled in the art can freely set the method, for example, prompting the processing step for the patient during the virtual simulation, and determining whether to complete the step according to the patient position state to obtain the number of the operation steps executed by the user.
Specifically, when calculating the second learning coefficient, the calculating unit obtains the number K of tool use errors in the virtual simulation process of the user, compares the number K with a preset number of use errors, and calculates the second learning coefficient according to the comparison result, wherein,
when K is less than or equal to K0, the calculating unit sets the second cooking coefficient to be A21, A21 is a preset value, and A21 is more than 0.8 and less than 1;
when K > K0, the calculation unit sets the second cooking coefficient to a22, setting a22= a 21-a 21 × (K-K0)/K.
Specifically, the calculation unit further adjusts the second cooking coefficient according to the use state of the tool after the second cooking coefficient is calculated,
if the use state of the tool is a selection error, the calculation unit adjusts the use error frequency of the tool to be K ' so as to reduce the second cooking coefficient, K ' = K multiplied by a0 is set, a0 is a preset adjustment coefficient, 1 & lta 0 & lt1.2, and K ' is rounded upwards;
if the using state of the tool is a using error, the computing unit does not adjust.
Specifically, the calculation unit in this embodiment can ensure the accuracy of calculating the second cooking coefficient by calculating the second cooking coefficient according to the number of times of tool use errors of the user, the number of times of tool use errors can effectively reflect the operation skill state of the user, the number of times of tool use errors is small when the number of times of tool use errors K is within a preset value, a fixed value is used as the second cooking coefficient at this time, when the number of times of tool use errors K is larger than the preset value, the calculation is performed according to the difference between the number of times of tool use errors K and the preset value, so that the second cooking coefficient is reduced with the increase of the number of times of tool use errors, the accuracy of the second cooking coefficient is ensured by performing the precise calculation, so that the accuracy of the virtual simulation analysis of the user is improved, and when the calculation is completed, the calculation unit further adjusts the second cooking coefficient according to the use state of the tool, so that the accuracy of the second cooking coefficient is improved, when the using state of the tool is a selection error, the second cooking coefficient is reduced by increasing the using error times K of the tool, so that the accuracy of the second cooking coefficient is improved, and the accuracy of the virtual simulation analysis of the user is further improved.
Specifically, the evaluation module calculates proficiency level L of the user based on the first and second learning coefficients, sets L =0.5 × A1i +0.5 × A2j, sets i =1,2, j =1,2, and compares the calculated proficiency level L with a preset proficiency level L0, and evaluates based on the comparison result,
when L < L1, the evaluation module determines that the proficiency level of the user is low;
when L1 is less than or equal to L < L2, the evaluation module judges that the proficiency level of the user is normal;
when L2 is less than or equal to L, the evaluation module judges that the proficiency level of the user is high;
wherein L1 is the first predetermined proficiency, L2 is the second predetermined proficiency, and L1 < L2.
Specifically, in this embodiment, the evaluation module evaluates the user by calculating the proficiency of the user to ensure the accuracy of the user evaluation, the proficiency calculation includes a first proficiency coefficient and a second proficiency coefficient, the first proficiency coefficient reflects the proficiency state of the user in operating the patient position, the second proficiency coefficient reflects the proficiency state of the user in using the tool, the overall proficiency state of the user in the virtual simulation content can be effectively reflected by combining the first proficiency coefficient and the second proficiency coefficient, the proficiency level of the user is distinguished by setting a preset number metric, and therefore the accuracy of the user proficiency evaluation is improved.
Specifically, when the proficiency level L of the user is adjusted, the evaluation module acquires the operation time length T of the user in the virtual simulation process, compares the operation time length T with a preset standard time length T0, and adjusts the proficiency level L of the user according to the comparison result, wherein,
when T is less than or equal to T0, the evaluation module judges that the operation duration of the user meets the requirement and does not adjust;
when T > T0, the evaluation module determines that the operation time length of the user does not satisfy the requirement, and adjusts the proficiency of the user to L ', and sets L' = L-L × (T-T0)/T.
Specifically, after the proficiency level L of the user is adjusted, the evaluation module obtains the accumulated operation times F of the user through virtual simulation, compares the accumulated operation times F with the preset operation times F0, and corrects the adjusted proficiency level L' according to the comparison result, wherein,
when the F is less than or equal to F0, the evaluation module judges that the operation times of the user on the virtual simulation content are normal and does not carry out correction;
when F > F0, the evaluation module determines that the user operates frequently on the virtual simulation content, and corrects the proficiency of the user to L ", sets L" = L '+ L' × (F-F0)/F.
Specifically, in this embodiment, the evaluation module adjusts and corrects the proficiency of the user to further improve the accuracy of calculating the proficiency of the user, so as to improve the accuracy of evaluating the proficiency of the user, when the user proficiency is adjusted, the evaluation module compares the operation time T of the user in the virtual simulation process with a preset value, if the operation time T is within the preset value, the operation time T of the user is proved to meet the requirement and is not adjusted, otherwise, the proficiency of the user is reduced by adjusting, the longer the operation time T is proved to be, the more unskilled the user in the operation process is, the accuracy of calculating the proficiency of the user is effectively improved by adjusting, so as to improve the accuracy of virtual simulation analysis of the user, and meanwhile, when the adjusted proficiency is corrected, the evaluation module compares the accumulated operation times F of the user through virtual simulation with the preset value, if the operation frequency is within the preset value, the operation frequency is proved to be less and the correction is not carried out, otherwise, the proficiency of the user is increased through the correction, the more the accumulated operation frequency is, the more proficiency of the user is proved, and the accuracy of calculating the proficiency of the user is further improved through the correction by the evaluation module, so that the accuracy of virtual simulation analysis of the user is improved.
Specifically, the reminding module acquires the proficiency evaluation result of the user when reminding, and correspondingly reminds the user according to the proficiency evaluation result, wherein,
when the proficiency level of the user is judged to be low, the reminding module prompts the user that the operation does not meet the requirement and virtual simulation content needs to be repeatedly trained, and prompts the user for wrong operation in the first target area and the second target area;
when the proficiency level of the user is judged to be normal, the reminding module prompts that the user has defects in operation and prompts the user for wrong operation in the first target area and the second target area;
and when the proficiency level of the user is judged to be high, the reminding module prompts the user to operate to meet the requirement.
Specifically, in this embodiment, the reminding module is used for carrying out different reminders on the virtual simulation process of the user according to different proficiency levels of the user, so that the user can obtain proficiency conditions of the virtual simulation operation, and thus the user can correct self operation defects in a targeted manner, and the operation risk of the user in practical application is reduced.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.
Claims (10)
1. A medical services platform based on computer virtual simulation, comprising:
the acquisition module is used for acquiring process parameters of a user during virtual simulation operation;
the storage module is used for storing the process parameters of the virtual simulation operation of the user and is connected with the acquisition module;
the analysis module is used for carrying out data analysis according to the acquired process parameters, is connected with the acquisition module, and is internally provided with a grading unit which is used for grading the area in the virtual simulation scene when the data analysis is carried out, taking the position of a patient in the virtual simulation scene as a primary target area, taking a tool area in the virtual simulation scene as a secondary target area, wherein the grading unit is connected with a calculation unit which is used for calculating a first cooking coefficient according to the operation integrity of a user in the primary target area and calculating a second cooking coefficient according to the use state of the user in the secondary target area;
the evaluation module is used for evaluating the proficiency of the user according to the data analysis result, is connected with the analysis module, and is used for calculating the proficiency of the user according to each proficiency coefficient during evaluation, adjusting the proficiency of the user according to the operation duration of the user, and after the adjustment is completed, the evaluation module is used for correcting the proficiency of the user according to the operation times of the user and evaluating the proficiency according to the corrected proficiency;
And the reminding module is used for carrying out corresponding reminding according to the proficiency evaluation result of the user and is connected with the evaluation module.
2. The medical service platform based on computer virtual simulation of claim 1, wherein the computing unit, when computing the first learning coefficient, obtains the operation integrity M of the user operation in the primary target area, compares the operation integrity M with a preset operation integrity M0, and computes the first learning coefficient according to the comparison result,
when M is less than or equal to M0, the calculating unit sets the first cooking coefficient to be A11, A11 is a preset value, and A11 is more than 0 and less than 0.2;
when M > M0, the calculation unit sets the first learning coefficient to a12, sets a12= a11+ a11 × (M-M0)/M0, and takes a12=1 when a12 ≧ 1.
3. The medical service platform based on computer virtual simulation of claim 2, wherein the computing unit obtains the number of operation steps N that the user has performed on the primary target area when obtaining the operation integrity degree M, and calculates the operation integrity degree M of the user based thereon, wherein N0 is a preset standard number of operation steps, and M = N/N0.
4. The medical service platform based on computer virtual simulation of claim 1, wherein the computing unit, when computing the second training coefficient, obtains the number K of tool use errors in the virtual simulation process of the user, compares the number K with the preset number of use errors, and computes the second training coefficient according to the comparison result,
When K is less than or equal to K0, the calculating unit sets the second cooking coefficient to be A21, A21 is a preset value, and A21 is more than 0.8 and less than 1;
when K > K0, the calculation unit sets the second cooking coefficient to a22, setting a22= a 21-a 21 × (K-K0)/K.
5. The medical service platform based on computer virtual simulation of claim 4, wherein the computing unit further adjusts the second training coefficient according to the using state of the tool after the second training coefficient is calculated, wherein,
if the use state of the tool is a selection error, the calculation unit adjusts the use error frequency of the tool to be K ' so as to reduce the second cooking coefficient, K ' = K multiplied by a0 is set, a0 is a preset adjustment coefficient, 1 & lta 0 & lt1.2, and K ' is rounded upwards;
if the using state of the tool is a using error, the computing unit does not adjust.
6. The medical service platform based on computer virtual simulation of claim 1, wherein the evaluation module calculates proficiency L of the user based on the first and second learning coefficients at the time of evaluation, setting L =0.5 xA 1i +0.5 xA 2j, setting i =1,2, j =1,2, and compares the calculated proficiency L with a preset proficiency L0 and evaluates the proficiency L based on the comparison result, wherein,
When L < L1, the evaluation module determines that the proficiency level of the user is low;
when L1 is less than or equal to L < L2, the evaluation module judges that the proficiency level of the user is normal;
when L2 is less than or equal to L, the evaluation module judges that the proficiency level of the user is high;
wherein L1 is the first predetermined proficiency, L2 is the second predetermined proficiency, and L1 < L2.
7. The medical service platform based on computer virtual simulation of claim 6, wherein the evaluation module obtains the operation duration T of the user in the virtual simulation process when adjusting the proficiency L of the user, compares the operation duration T with a preset standard duration T0, and adjusts the proficiency L of the user according to the comparison result, wherein,
when T is less than or equal to T0, the evaluation module judges that the operation duration of the user meets the requirement and does not adjust;
when T > T0, the evaluation module determines that the operation duration of the user does not satisfy the requirement, and adjusts the proficiency level of the user to L ', and sets L' = L-L x (T-T0)/T.
8. The medical service platform based on computer virtual simulation of claim 7, wherein after the adjusting of the proficiency level L of the user is completed, the evaluation module obtains the accumulated operation times F of the user through the virtual simulation, compares the accumulated operation times F with the preset operation times F0, and corrects the adjusted proficiency level L' according to the comparison result, wherein,
When the F is less than or equal to F0, the evaluation module judges that the operation times of the user on the virtual simulation content are normal and does not carry out correction;
when F > F0, the evaluation module determines that the user operates frequently on the virtual simulation content, and corrects the proficiency of the user to L ", sets L" = L '+ L' × (F-F0)/F.
9. The medical service platform based on computer virtual simulation of claim 1, wherein the reminding module obtains proficiency evaluation results of the user when reminding, and correspondingly reminds the user according to the proficiency evaluation results, wherein,
when the proficiency level of the user is judged to be low, the reminding module prompts the user that the operation does not meet the requirement and virtual simulation content needs to be repeatedly trained, and prompts the user for wrong operation in the first target area and the second target area;
when the proficiency level of the user is judged to be normal, the reminding module prompts that the user has defects in operation and prompts the user for wrong operation in the first target area and the second target area;
and when the proficiency level of the user is judged to be high, the reminding module prompts the user to operate to meet the requirement.
10. The medical service platform based on computer virtual simulation of claim 1, wherein the process parameters comprise operation integrity, tool usage status, operation duration and accumulated operation times.
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